PIETRO LIO'

Professore ordinario

email: pietro.lio@uniroma1.it
telefono: 3343696809
edificio: DIAG
stanza: 202B

Dottorato in Dinamica nonlineare e sistemi complessi. Dottorato in Science Genomiche.
Attivita' di ricerca: graph representation learning (incluso ipergrafi, neural algorithmic reasoning), biologia computazionale e bioinformatics
La maggior parte delle pubblicazioni e' listata al sito: https://scholar.google.com/citations?hl=en&user=4YhNJBEAAAAJ&view_op=list_works&sortby=pubdate
(work in progress)

Produzione scientifica

11573/1728970 - 2025 - gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design
Joshi, C. K.; Lio, P. - 02a Capitolo o Articolo
libro: Methods in Molecular Biology - ()

11573/1723989 - 2024 - Elegans-AI: How the connectome of a living organism could model artificial neural networks
Bardozzo, F.; Terlizzi, A.; Simoncini, C.; Lio, P.; Tagliaferri, R. - 01a Articolo in rivista
rivista: NEUROCOMPUTING (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. - - issn: 0925-2312 - wos: WOS:001250168100001 (1) - scopus: 2-s2.0-85189003945 (1)

11573/1728976 - 2024 - Unsupervised Pretraining for Fact Verification by Language Model Distillation
Bazaga, A.; Lio, P.; Micklem, G. - 04b Atto di convegno in volume
congresso: International Conference on Learning Representations (Hybrid, Vienna)
libro: 12th International Conference on Learning Representations, ICLR 2024 - ()

11573/1721245 - 2024 - Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting
Buterez, D.; Janet, J. P.; Kiddle, S. J.; Oglic, D.; Lio, P. - 01a Articolo in rivista
rivista: NATURE COMMUNICATIONS (London: Nature Publishing Group-Springer Nature) pp. - - issn: 2041-1723 - wos: WOS:001177419200006 (6) - scopus: 2-s2.0-85185905615 (6)

11573/1728991 - 2024 - Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs
Ceccarelli, F.; Giusti, L.; Holden, S. B.; Lio, P. - 04b Atto di convegno in volume
congresso: International Conference on Pattern Recognition Applications and Methods (Roma; ita)
libro: International Conference on Pattern Recognition Applications and Methods - ()

11573/1723990 - 2024 - Leveraging graph neural networks for supporting automatic triage of patients
Defilippo, A.; Veltri, P.; Lio, P.; Guzzi, P. H. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:001236740000035 (0) - scopus: 2-s2.0-85194994979 (0)

11573/1723972 - 2024 - On synergy between ultrahigh throughput screening and machine learning in biocatalyst engineering
Gantz, M.; Mathis, S. V.; Nintzel, F. E. H.; Lio, P.; Hollfelder, F. - 01a Articolo in rivista
rivista: FARADAY DISCUSSIONS (Royal Society of Chemistry:Thomas Graham House, Science Park, Cambridge CB4 0WF United Kingdom:011 44 1223 432360, EMAIL: sales@rsc.org, INTERNET: http://www.rsc.org, http://www.chensoc.org, Fax: 011 44 1223 423429) pp. 89-114 - issn: 1359-6640 - wos: WOS:001289289900001 (2) - scopus: 2-s2.0-85194438343 (2)

11573/1728699 - 2024 - Categorical Foundation of Explainable AI: A Unifying Theory
Giannini, Francesco; Fioravanti, Stefano; Barbiero, Pietro; Tonda, Alberto; Lio, Pietro; Di Lavore, Elena - 04b Atto di convegno in volume
congresso: 2nd World Conference on Explainable Artificial Intelligence, xAI 2024 (Valletta; mlt)
libro: Communications in Computer and Information Science - (9783031637995; 9783031638008)

11573/1728993 - 2024 - Topological Message Passing for Higher - Order and Long - Range Interactions
Giusti, L.; Reu, T.; Ceccarelli, F.; Bodnar, C.; Lio, P. - 04b Atto di convegno in volume
congresso: 2024 International Joint Conference on Neural Networks, IJCNN 2024 (PACIFICO Yokohama, jpn)
libro: 2024 International Joint Conference on Neural Networks (IJCNN) - ()

11573/1728980 - 2024 - Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Huang, K.; Cao, W.; Ta, H.; Xiao, X.; Lio, P. - 04b Atto di convegno in volume
congresso: 33rd ACM Web Conference, WWW 2024 (Singapore; sgp)
libro: WWW 2024 - Proceedings of the ACM Web Conference - ()

11573/1728697 - 2024 - How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Huang, K.; Wang, Y. G.; Li, M.; Lio, P. - 04b Atto di convegno in volume
congresso: 41st International Conference on Machine Learning, ICML 2024 (Vienna; aut)
libro: Proceedings of Machine Learning Research - ()

11573/1728698 - 2024 - Denoising Probabilistic Diffusion Models for Synthetic Healthcare Image Generation
Iuliano, Antonella; Lio, Pietro; Manfredi, Gilda; Romaniello, Federico - 04b Atto di convegno in volume
congresso: 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 (grc)
libro: 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 - Proceedings - ()

11573/1728974 - 2024 - Evaluating Representation Learning on the Protein Structure Universe
Jamasb, A. R.; Morehead, A.; Joshi, C. K.; Zhang, Z.; Didi, K.; Mathis, S.; Harris, C.; Tang, J.; Cheng, J.; Lio, P.; Blundell, T. L. - 04b Atto di convegno in volume
congresso: International Conference on Learning Representations (Hybrid, Vienna)
libro: 12th International Conference on Learning Representations, ICLR 2024 - ()

11573/1719875 - 2024 - Vision graph U-Net: Geometric learning enhanced encoder for medical image segmentation and restoration
Jiang, Y.; Ding, Q.; Wang, Y. G.; Lio, P.; Zhang, X. - 01a Articolo in rivista
rivista: INVERSE PROBLEMS AND IMAGING (USA Springfield, American Institute of Mathematical Sciences) pp. 672-689 - issn: 1930-8337 - wos: WOS:001104104900001 (0) - scopus: 2-s2.0-85177192247 (1)

11573/1728978 - 2024 - Dynamics-Informed Protein Design with Structure Conditioning
Komorowska, U. J.; Mathis, S. V.; Didi, K.; Vargas, F.; Lio, P.; Jamnik, M. - 04b Atto di convegno in volume
congresso: 12th International Conference on Learning Representations, ICLR 2024 (Hybrid, Vienna)
libro: 12th International Conference on Learning Representations, ICLR 2024 - ()

11573/1728758 - 2024 - Biasing Federated Learning With a New Adversarial Graph Attention Network
Li, K.; Zheng, J.; Ni, W.; Huang, H.; Lio, P.; Dressler, F.; Akan, O. B. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON MOBILE COMPUTING () pp. - - issn: 1536-1233 - wos: (0) - scopus: 2-s2.0-85209749527 (0)

11573/1728692 - 2024 - Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications
Li, Ming; Micheli, Alessio; Wang, Yu Guang; Pan, Shirui; Lio, Pietro; Gnecco, Giorgio Stefano; Sanguineti, Marcello - 01m Editorial/Introduzione in rivista
rivista: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (Piscataway, NJ : Institute of Electrical and Electronics Engineeers) pp. 4367-4372 - issn: 2162-237X - wos: WOS:001197919500020 (0) - scopus: 2-s2.0-85190417060 (22)

11573/1728975 - 2024 - TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
Liu, L.; Cheng, Y.; Deng, Z.; Wang, S.; Chen, D.; Hu, X.; Lio, P.; Schonlieb, C. -B.; Aviles-Rivero, A. - 04b Atto di convegno in volume
congresso: 32nd ACM International Conference on Multimedia, MM 2024 (Melbourne; aus)
libro: MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia - ()

11573/1723971 - 2024 - SNDGCN: Robust Android malware detection based on subgraph network and denoising GCN network
Lu, X.; Zhao, J.; Zhu, S.; Lio, P. - 01a Articolo in rivista
rivista: EXPERT SYSTEMS WITH APPLICATIONS (Oxford, United Kingdom: Elsevier Science Limited) pp. - - issn: 0957-4174 - wos: WOS:001246050500002 (0) - scopus: 2-s2.0-85190068425 (1)

11573/1728695 - 2024 - Position: Topological Deep Learning is the New Frontier for Relational Learning
Papamarkou, T.; Birdal, T.; Bronstein, M.; Carlsson, G.; Curry, J.; Gao, Y.; Hajij, M.; Kwitt, R.; Lio, P.; Di Lorenzo, P.; Maroulas, V.; Miolane, N.; Nasrin, F.; Ramamurthy, K. N.; Rieck, B.; Scardapane, S.; Schaub, M. T.; Velickovic, P.; Wang, B.; Wang, Y.; Wei, G. -W.; Zamzmi, G. - 04b Atto di convegno in volume
congresso: 41st International Conference on Machine Learning, ICML 2024 (Vienna; aut)
libro: Proceedings of Machine Learning Research - ()

11573/1723970 - 2024 - Using AI explainable models and handwriting/drawing tasks for psychological well-being
Prinzi, F.; Barbiero, P.; Greco, C.; Amorese, T.; Cordasco, G.; Lio, P.; Vitabile, S.; Esposito, A. - 01a Articolo in rivista
rivista: INFORMATION SYSTEMS (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0306-4379 - wos: WOS:001331635000001 (0) - scopus: 2-s2.0-85205419865 (0)

11573/1728971 - 2024 - Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study
Raisa, R. A.; Rodela, A. S.; Yousuf, M. A.; Azad, A.; Alyami, S. A.; Lio, P.; Islam, M. Z.; Pogrebna, G.; Moni, M. A. - 01g Articolo di rassegna (Review)
rivista: IEEE ACCESS (Piscataway NJ: Institute of Electrical and Electronics Engineers) pp. 122959-122987 - issn: 2169-3536 - wos: WOS:001311190900001 (0) - scopus: 2-s2.0-85203869098 (0)

11573/1728760 - 2024 - LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond[Formula presented]
Sabari, A.; Hasan, I.; Alyami, S. A.; Lio, P.; Ali, M. S.; Moni, M. A.; Azad, A. K. M. - 01a Articolo in rivista
rivista: SOFTWARE IMPACTS (Amsterdam: Elsevier B.V.) pp. - - issn: 2665-9638 - wos: WOS:001358826300001 (0) - scopus: 2-s2.0-85209092519 (0)

11573/1723995 - 2024 - Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance
Shen, X.; Lio, P.; Yang, L.; Yuan, R.; Zhang, Y.; Peng, C. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 6330-6343 - issn: 1041-4347 - wos: (0) - scopus: 2-s2.0-85193032140 (2)

11573/1723953 - 2024 - Intratumoral antigen signaling traps CD8+ T cells to confine exhaustion to the tumor site
Takahashi, M.; So, T. Y.; Chamberlain-Evans, V.; Hughes, R.; Yam-Puc, J. C.; Kania, K.; Ruhle, M.; Mann, T.; Schuijs, M. J.; Coupland, P.; Naisbitt, D.; Halim, T. Y. F.; Lyons, P. A.; Lio, P.; Roychoudhuri, R.; Okkenhaug, K.; Adams, D. J.; Smith, K. G. C.; Jodrell, D. I.; Chapman, M. A.; Thaventhiran, J. E. D. - 01a Articolo in rivista
rivista: SCIENCE IMMUNOLOGY (Washington, DC : American Association for the Advancement of Science, [2016]-) pp. - - issn: 2470-9468 - wos: WOS:001231081400003 (3) - scopus: 2-s2.0-85194218972 (3)

11573/1723988 - 2024 - Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
Wang, Z.; Ma, J.; Gao, Q.; Bain, C.; Imoto, S.; Lio, P.; Cai, H.; Chen, H.; Song, J. - 01a Articolo in rivista
rivista: MEDICAL IMAGE ANALYSIS (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 1361-8415 - wos: WOS:001265411100001 (0) - scopus: 2-s2.0-85197304240 (1)

11573/1723996 - 2024 - Self-simulation and Meta-Model Aggregation Based Heterogeneous Graph Coupled Federated Learning
Yan, C.; Lu, X.; Lio, P.; Hui, P.; He, D. - 01a Articolo in rivista
rivista: IEEE INTERNET OF THINGS JOURNAL (Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2014-.) pp. - - issn: 2327-4662 - wos: (0) - scopus: 2-s2.0-85205031165 (0)

11573/1723993 - 2024 - Adaptive multi-scale Graph Neural Architecture Search framework
Yang, L.; Lio, P.; Shen, X.; Zhang, Y.; Peng, C. - 01a Articolo in rivista
rivista: NEUROCOMPUTING (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. - - issn: 0925-2312 - wos: WOS:001261296700001 (0) - scopus: 2-s2.0-85196858046 (0)

11573/1728752 - 2024 - State of the Art and Potentialities of Graph-level Learning
Yang, Z.; Zhang, G.; Wu, J.; Yang, J.; Sheng, Q. Z.; Xue, S.; Zhou, C.; Aggarwal, C.; Peng, H.; Hu, W.; Hancock, E.; Lio, P. - 01a Articolo in rivista
rivista: ACM COMPUTING SURVEYS (ACM / Association for Computing Machinery:1515 Broadway, 17th Floor:New York, NY 10036:(212)869-7440, EMAIL: acmhelp@hq.acm.org, INTERNET: http://www.acm.org, Fax: (212)944-1318) pp. - - issn: 0360-0300 - wos: (0) - scopus: 2-s2.0-85210282098 (0)

11573/1719088 - 2024 - A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity
Zhou, Bingxin; Zheng, Lirong; Wu, Banghao; Yi, Kai; Zhong, Bozitao; Tan, Yang; Liu, Qian; Lio, Pietro; Hong, Liang - 01a Articolo in rivista
rivista: CELL DISCOVERY ([Basingstoke] : Nature Publishing Group in partnership with the Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS)) pp. - - issn: 2056-5968 - wos: WOS:001308549400001 (0) - scopus: 2-s2.0-85203311768 (0)

11573/1721274 - 2023 - Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity
Ahamad, M. M.; Aktar, S.; Uddin, M. J.; Rashed-Al-Mahfuz, M.; Azad, A. K. M.; Uddin, S.; Alyami, S. A.; Sarker, I. H.; Khan, A.; Lio, P.; Quinn, J. M. W.; Moni, M. A. - 01a Articolo in rivista
rivista: HEALTHCARE (Basel : MDPI) pp. - - issn: 2227-9032 - wos: WOS:000909380700001 (16) - scopus: 2-s2.0-85145899329 (15)

11573/1723967 - 2023 - Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
Azevedo, T.; Bethlehem, R. A. I.; Whiteside, D. J.; Swaddiwudhipong, N.; Rowe, J. B.; Lio, P.; Rittman, T.; Li, G.; Petrie, E. C.; Peskind, E. R.; Villena, T.; Martinez, W.; Sadowsky, C.; Lee, A.; Ravdin, L.; Lin, M.; Chiang, G.; Relkin, N.; Santulli, R. B.; Hynes, M. L.; Seltzer, M.; Flashman, L. A.; Anderson, K.; Blank, K.; Pearlson, G. D.; Kittur, S.; Correia, S.; Malloy, P.; Salloway, S.; Potkin, S.; Newhouse, P.; Garcia, A.; Shi, J.; Masdeu, J.; Wiliams, A.; Mintzer, J.; O'connelll, A.; Mintz, A.; Munic, D.; Bernick, C.; Ritter, A.; Drake, J. D.; Daiello, L. A.; Tremont, G.; Drake, J.; Ott, B. R.; Sink, K. M.; Yang, M.; Cleveland, J.; Craft, S.; Williamson, J. D.; Schultz, S. K.; Nam, K. W.; Shim, H.; Koleva, H.; Smith, K. E.; Boles Ponto, L. L.; Miller, D. D.; Celmins, D.; Zimmerman, E. A.; Hart, D.; Kelley, B.; Tarawneh, R.; Kataki, M.; Scharre, D. W.; Burke, A.; Perrin, A.; Carlsson, C. M.; Asthana, S.; Johnson, S.; Bartha, R.; Lee, T. -Y.; Borrie, M.; Rainka, M.; Capote, H.; Bates, V.; Carmichael, O.; Decarli, C.; Olichney, J.; Maillard, P.; Fletcher, E.; Fatica, P.; Tatsuoka, C.; Ogrocki, P.; Lerner, A.; Nadarajah, S.; Nwulia, E.; Khan, J. I.; Wolday, S.; Ntekim, O. E.; Obisesan, T. O.; Budson, A. E.; Kowall, N.; Mez, J.; Stern, R.; Killiany, R.; Sabbagh, M.; Clark Edward Zamrini, K. A.; Spann, B. M.; Atri, A.; Belden, C. M.; Tinklenberg, J.; Rosen, A.; Lane, B.; White, J. D.; Coleman, J.; Chao, S.; Taylor, J. L.; Yesavage, J.; Marshall, G. A.; Johnson, K. A.; Sperling, R. A.; Poe, J.; Mccann, K.; Reynolds, B.; Johnson, K.; Turner, R. S.; Perry, D.; Rosen, H.; Miller, B. L.; Fernandez, D.; Ong, E.; Stark, S.; Catalinotto, D.; Scherer, K.; Au, Y. H.; Bickford, D.; Nelson, C.; Mackin, S.; Rosen, H. J.; Sarrael, A.; Hernando, R.; Pomara, N.; Bonakdarpour, B.; Weintraub, S.; Lipowski, K.; Johnson, N.; Wu, C. -K.; Kerwin, D.; M. -Marsel Mesulam J., R.; Rogalski, E.; Muse, B.; Grant, I.; Rogers, J.; Drost, D.; Kertesz, A.; Rachinsky, I.; Pasternak, S.; Finger, E.; Assaly, M.; Feldman, H.; Sossi, V.; Mudge, B.; Kim, E.; Hsiung, G. -Y. R.; Heyn, C. C.; Stefanovic, B.; Black, S.; Hosein, C.; Vaitekunis, S.; Chertkow, H.; Varma, P.; Carson, R. E.; Macavoy, M. G.; Good, S. P.; Mecca, A. P.; Van Dyck, C. H.; Herring, S.; Brosch, J. R.; Matthews, B. R.; Hake, A. M.; Farlow, M. R.; Poki-Walker, K.; Parfitt, F.; Graff-Radford, N. R.; Teng, E.; Woo, E.; Bartzokis, G.; Lu, P. H.; Tingus, K.; Apostolova, L.; Kremen, S.; Silverman, D. H. S.; Brooks, W. M.; Swerdlow, R. H.; Burns, J. M.; Cellar, J. S.; Hajjar, I.; Lah, J. J.; Levey, A. I.; Quiceno, M.; Mathews, D.; Womack, K.; Nguyen, T.; Kelley, B.; Witbracht, M.; Sosa, E.; Yanez, B.; Pierce, A.; Thai, G.; Reist, C.; Brand, C.; Ismail, M. S.; Makino, K. M.; Goldstein, B. S.; Keltz, M.; Martin, K. S.; Kowalski, N.; Martin, K.; Porsteinsson, A. P.; Simpson, D. M.; Oakley, M.; Butters, M.; Zmuda, M.; Lopez, O. L.; Raslau, F. D.; El Khouli, R.; Jicha, G. A.; Smith, C. D.; Arnold, S. E.; Clark, C. M.; Vaishnavi, S.; Wolk, D. A.; Karlawish, J. H.; Borges-Neto, S.; Wong, T. Z.; James, O.; Petrella, J. R.; Doraiswamy, P. M.; Singleton-Garvin, J.; Sheikh, M. O.; Chen, S.; Ulysse, A.; Castro, K. M.; Rao, J.; Faustin, A.; Shulman, M.; Wisniewski, T.; Sadowski, M.; Fargher, K.; Raj, B. A.; Smith, A.; Kielb, S.; Greig, M. T.; Brichko, R.; Rudow, S.; Farrington, L.; Onyike, C.; Varon, D.; Albert, M.; Rodriguez, R.; Greig-Custo, M. T.; Duara, R.; Samuels, P.; Arfanakis, K.; Fleischman, D.; Blanchard, K. S.; Sood, A.; Lamar, M.; Shah, R. C.; Mitsis, E.; Greenberg, J.; Goldstein, M. A.; Grossman, H.; Marson, D.; Brockington, J.; Clark, D.; Griffith, R.; Love, M. N.; Geldmacher, D.; Schneider, S.; Mintun, M. A.; Creech, M. L.; Oliver, A.; Stobbs-Cucchi, G.; Carroll, M.; Winkfield, D.; Morris, J. C.; Ances, B.; Mintz, A.; Honig, L. S.; Stern, Y.; Dang, M.; Rountree, S.; Chowdhury, M.; Shibley, V.; Doody, R. S.; Kass, J. S.; Lamb, A.; Pacini, N.; Pavlik, V.; Villanueva-Meyer, J.; Johnson, K.; Knopman, D.; - 01a Articolo in rivista
rivista: COMMUNICATIONS MEDICINE (London: Nature Portfolio) pp. - - issn: 2730-664X - wos: WOS:001036998400001 (1) - scopus: 2-s2.0-85195384009 (2)

11573/1726291 - 2023 - Global Explainability of GNNs via Logic Combination of Learned Concepts
Azzolin, S.; Longa, A.; Barbiero, P.; Lio, P.; Passerini, A. - 04b Atto di convegno in volume
congresso: 11th International Conference on Learning Representations, ICLR 2023 (Kigali; rwa)
libro: 11th International Conference on Learning Representations, ICLR 2023 - ()

11573/1725180 - 2023 - Interpretable Neural-Symbolic Concept Reasoning
Barbiero, P.; Ciravegna, G.; Giannini, F.; Zarlenga, M. E.; Magister, L. C.; Tonda, A.; Lio, P.; Precioso, F.; Jamnik, M.; Marra, G. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Honolulu Hawaii; USA)
libro: ICML'23: Proceedings of the 40th International Conference on Machine Learning - ()

11573/1725227 - 2023 - Topological Network Traffic Compression
Bernardez, G.; Telyatnikov, L.; Alarcon, E.; Cabellos-Aparicio, A.; Barlet-Ros, P.; Lio, P. - 04b Atto di convegno in volume
congresso: 2nd Graph Neural Networking Workshop, GNNet 2023 (Paris; fra)
libro: GNNet 2023 - Proceedings of the 2nd Graph Neural Networking Workshop 2023 - ()

11573/1726840 - 2023 - MMCTNet: Multi-Modal Cony-Transformer Network for Predicting Good and Poor Outcomes in Cardiac Arrest Patients
Bi, X.; Tang, S.; Yang, Z.; Deng, X.; Xiao, B.; Lio, P. - 04c Atto di convegno in rivista
rivista: COMPUTING IN CARDIOLOGY ([Place of publication not identified] : Computing in Cardiology) pp. - - issn: 2325-8861 - wos: (0) - scopus: 2-s2.0-85182336466 (0)
congresso: 50th Computing in Cardiology, CinC 2023 (Atlanta; usa)

11573/1721243 - 2023 - Modular Multi-Source Prediction of Drug Side-Effects with DruGNN
Bongini, P.; Scarselli, F.; Bianchini, M.; Dimitri, G. M.; Pancino, N.; Lio, P. - 01a Articolo in rivista
rivista: IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (New York, NY : IEEE Computer Society, 2004-) pp. 1211-1220 - issn: 1545-5963 - wos: WOS:000965674700039 (13) - scopus: 2-s2.0-85130482943 (13)

11573/1728757 - 2023 - A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data
Breger, A.; Selby, I.; Roberts, M.; Babar, J.; Gkrania-Klotsas, E.; Preller, J.; Escudero Sanchez, L.; Dittmer, S.; Thorpe, M.; Gilbey, J.; Korhonen, A.; Jefferson, E.; Langs, G.; Yang, G.; Xing, X.; Nan, Y.; Li, M.; Prosch, H.; Jan, Stanczuk; Tang, J.; Teare, P.; Patel, M.; Wassink, M.; Holzer, M.; Solares, E. G.; Walton, N.; Lio, P.; Shadbahr, T.; Rudd, J. H. F.; Aston, J. A. D.; Weir-Mccall, J. R.; Sala, E.; Schonlieb, C. -B. - 01a Articolo in rivista
rivista: SCIENTIFIC DATA (London: Nature Publishing Group) pp. - - issn: 2052-4463 - wos: WOS:001038709400005 (1) - scopus: 2-s2.0-85165895119 (2)

11573/1723982 - 2023 - MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning
Buterez, D.; Janet, J. P.; Kiddle, S. J.; Lio, P. - 01a Articolo in rivista
rivista: JOURNAL OF CHEMICAL INFORMATION AND MODELING (AMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, USA, DC, 20036) pp. 2667-2678 - issn: 1549-9596 - wos: WOS:000974307400001 (9) - scopus: 2-s2.0-85154032397 (9)

11573/1723965 - 2023 - Modelling local and general quantum mechanical properties with attention-based pooling
Buterez, D.; Janet, J. P.; Kiddle, S. J.; Oglic, D.; Lio, P. - 01a Articolo in rivista
rivista: COMMUNICATIONS CHEMISTRY ([London]: [Macmillan Publishers Ltd part of Springer Nature], 2018-) pp. - - issn: 2399-3669 - wos: WOS:001110725900001 (7) - scopus: 2-s2.0-85178462096 (8)

11573/1700473 - 2023 - Concept Distillation in Graph Neural Networks
Charlotte Magister, Lucie; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro - 04b Atto di convegno in volume
congresso: xAI 2023: 1st World Conference On eXplainable Artificial Intelligence (Lisbon, Portugal)
libro: World Conference on Explainable Artificial Intelligence - ()

11573/1721212 - 2023 - PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning
Charoenkwan, P.; Pipattanaboon, C.; Nantasenamat, C.; Hasan, M. M.; Moni, M. A.; Lio, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: COMPUTERS IN BIOLOGY AND MEDICINE (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0010-4825 - wos: WOS:000913219100001 (10) - scopus: 2-s2.0-85143841993 (12)

11573/1723983 - 2023 - StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images
Chowdhury, A. A.; Hasan Mahmud, S. M.; Shahjalal Hoque, K. K.; Ahmed, K.; Bui, F. M.; Lio, P.; Moni, M. A.; Al-Zahrani, F. A. - 01a Articolo in rivista
rivista: MAGALAT GAMʼAT AL-MALIK SAUD: ULM AL-HASIB WA AL-MAʼLUMAT (Riyaḍ: King Saud University.) pp. - - issn: 1319-1578 - wos: WOS:001150081100001 (1) - scopus: 2-s2.0-85166650305 (1)

11573/1721277 - 2023 - Logic Explained Networks
Ciravegna, G.; Barbiero, P.; Giannini, F.; Gori, M.; Lio, P.; Maggini, M.; Melacci, S. - 01a Articolo in rivista
rivista: ARTIFICIAL INTELLIGENCE (New York: American Elsevier Publishing Company Amsterdam: North-Holland) pp. - - issn: 0004-3702 - wos: WOS:000892123700002 (22) - scopus: 2-s2.0-85141927580 (39)

11573/1725190 - 2023 - Learning logic explanations by neural networks
Ciravegna, G.; Giannini, F.; Barbiero, P.; Gori, M.; Lio, P.; Maggini, M.; Melacci, S. - 02a Capitolo o Articolo
libro: Compendium of Neurosymbolic Artificial Intelligence - (9781643684062; 9781643684079)

11573/1725193 - 2023 - Computational logic for biomedicine and neurosciences
De Maria, E.; Despeyroux, J.; Felty, A.; Lio, P.; Olarte, C.; Bahrami, A. - 02a Capitolo o Articolo
libro: Symbolic Approaches to Modeling and Analysis of Biological Systems - (9781789450293; 9781394229086)

11573/1726844 - 2023 - Latent Graph Inference using Product Manifolds
De Ocariz Borde, H. S.; Kazi, A.; Barbero, F.; Lio, P. - 04b Atto di convegno in volume
congresso: International Conference on Learning Representations (Kigali; rwa)
libro: 11th International Conference on Learning Representations, ICLR 2023 - ()

11573/1725184 - 2023 - The Operon as a Conundrum of Gene Dynamics and Biochemical Constraints: What We Have Learned from Histidine Biosynthesis
Del Duca, S.; Semenzato, G.; Esposito, A.; Lio, P.; Fani, R. - 01g Articolo di rassegna (Review)
rivista: GENES (Basel : Molecular Diversity Preservation International) pp. - - issn: 2073-4425 - wos: WOS:000977502100001 (1) - scopus: 2-s2.0-85154591820 (1)

11573/1721265 - 2023 - On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Di Giovanni, F.; Giusti, L.; Barbero, F.; Luise, G.; Lio, P.; Bronstein, M. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Honolulu)
libro: Proceedings of Machine Learning Research - ()

11573/1728761 - 2023 - Navigating the development challenges in creating complex data systems
Dittmer, S.; Roberts, M.; Gilbey, J.; Biguri, A.; Selby, I.; Breger, A.; Thorpe, M.; Weir-Mccall, J. R.; Gkrania-Klotsas, E.; Korhonen, A.; Jefferson, E.; Langs, G.; Yang, G.; Prosch, H.; Stanczuk, J.; Tang, J.; Babar, J.; Escudero Sanchez, L.; Teare, P.; Patel, M.; Wassin, M.; Holzer, M.; Walton, N.; Lio, P.; Shadbahr, T.; Sala, E.; Preller, J.; Rudd, J. H. F.; Aston, J. A. D.; Schonlieb, C. -B. - 01a Articolo in rivista
rivista: NATURE MACHINE INTELLIGENCE (London: Nature Research, 2019-) pp. 681-686 - issn: 2522-5839 - wos: WOS:001005700800001 (4) - scopus: 2-s2.0-85160913311 (3)

11573/1697629 - 2023 - Sheaf Hypergraph Networks
Duta, Iulia; Cassarà, Giulia; Silvestri, Fabrizio; Liò, Pietro - 04b Atto di convegno in volume
congresso: Advances in Neural Information Processing Systems (was NIPS) (New Orleans)
libro: 37th Conference on Neural Information Processing Systems, NeurIPS 2023 - ()

11573/1721268 - 2023 - SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization
Faruqui, N.; Yousuf, M. A.; Whaiduzzaman, M.; Azad, A. K. M.; Alyami, S. A.; Lio, P.; Kabir, M. A.; Moni, M. A. - 01a Articolo in rivista
rivista: ELECTRONICS (Basel : MDPI) pp. - - issn: 2079-9292 - wos: WOS:001061043600001 (22) - scopus: 2-s2.0-85170552135 (34)

11573/1726845 - 2023 - Neural Algorithmic Reasoning for Combinatorial Optimisation
Georgiev, D.; Numeroso, D.; Bacciu, D.; Lio, P. - 04b Atto di convegno in volume
congresso: 2nd Learning on Graphs Conference, LOG 2023 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1725229 - 2023 - Interpretable Graph Networks Formulate Universal Algebra Conjectures
Giannini, F.; Fioravanti, S.; Keskin, O.; Lupidi, A. M.; Magister, L. C.; Lio, P.; Barbiero, P. - 04b Atto di convegno in volume
congresso: 37th Conference on Neural Information Processing Systems, NeurIPS 2023 (Ernest N. Morial Convention Center, usa)
libro: 37th Conference on Neural Information Processing Systems (NeurIPS 2023) - ()

11573/1721213 - 2023 - HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Islam, M. S.; Hasan, K. F.; Sultana, S.; Uddin, S.; Lio, P.; Quinn, J. M. W.; Moni, M. A. - 01a Articolo in rivista
rivista: NEURAL NETWORKS (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. 271-287 - issn: 0893-6080 - wos: WOS:000956139200001 (22) - scopus: 2-s2.0-85149840930 (36)

11573/1726843 - 2023 - On the Expressive Power of Geometric Graph Neural Networks
Joshi, C. K.; Bodnar, C.; Mathis, S. V.; Cohen, T.; Lio, P. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Honolulu; usa)
libro: Proceedings of Machine Learning Research - ()

11573/1721187 - 2023 - A second update on mapping the human genetic architecture of COVID-19
Kanai, M.; Andrews, S. J.; Cordioli, M.; Stevens, C.; Neale, B. M.; Daly, M.; Ganna, A.; Pathak, G. A.; Iwasaki, A.; Karjalainen, J.; Mehtonen, J.; Pirinen, M.; Chwialkowska, K.; Trankiem, A.; Balaconis, M. K.; Veerapen, K.; Wolford, B. N.; Ahmad, H. F.; Andrews, S.; Von Hohenstaufen Puoti, K. A.; Boer, C.; Boua, P. R.; Butler-Laporte, G.; Cadilla, C. L.; Chwialkowska, K.; Colombo, F.; Douillard, V.; Dueker, N.; Dutta, A. K.; El-Sherbiny, Y. M.; Eltoukhy, M. M.; Esmaeeli, S.; Faucon, A.; Fave, M. -J.; Cadenas, I. F.; Francescatto, M.; Francioli, L.; Franke, L.; Fuentes, M.; Duran, R. G.; Cabrero, D. G.; Harry, E. N.; Jansen, P.; Szentpeteri, J. L.; Kaja, E.; Kanai, M.; Kirk, C.; Kousathanas, A.; Krieger, J. E.; Patel, S. K.; Lemacon, A.; Limou, S.; Lio, P.; Marouli, E.; Marttila, M. M.; Medina-Gomez, C.; Michaeli, Y.; Migeotte, I.; Mondal, S.; Moreno-Estrada, A.; Moya, L.; Nakanishi, T.; Nasir, J.; Pasko, D.; Pearson, N. M.; Pereira, A. C.; Priest, J.; Prijatelj, V.; Prokic, I.; Teumer, A.; Varnai, R.; Romero-Gomez, M.; Roos, C.; Rosenfeld, J.; Ruolin, L.; Schulte, E. C.; Schurmann, C.; Sedaghati-Khayat, B.; Shaheen, D.; Shivanathan, I.; Sipeky, C.; Sirui, Z.; Striano, P.; Tanigawa, Y.; Remesal, A. U.; Vadgama, N.; Vallerga, C. L.; Van Der Laan, S.; Verdugo, R. A.; Wang, Q. S.; Wei, Z.; Zainulabid, U. A.; Zarate, R. N.; Auton, A.; Shelton, J. F.; Shastri, A. J.; Weldon, C. H.; Filshtein-Sonmez, T.; Coker, D.; Symons, A.; Aslibekyan, S.; O'connell, J.; Ye, C.; Hatoum, A. S.; Agrawal, A.; Bogdan, R.; Colbert, S. M. C.; Thompson, W. K.; Fan, C. C.; Johnson, E. C.; Niazyan, L.; Davidyants, M.; Arakelyan, A.; Avetyan, D.; Bekbossynova, M.; Tauekelova, A.; Tuleutayev, M.; Sailybayeva, A.; Ramankulov, Y.; Zholdybayeva, E.; Dzharmukhanov, J.; Kassymbek, K.; Tsechoeva, T.; Turebayeva, G.; Smagulova, Z.; Muratov, T.; Khamitov, S.; Kwong, A. S. F.; Timpson, N. J.; Niemi, M. E. K.; Rahmouni, S.; Guntz, J.; Beguin, Y.; Cordioli, M.; Pigazzini, S.; Nkambule, L.; Georges, M.; Moutschen, M.; Misset, B.; Darcis, G.; Gofflot, S.; Bouysran, Y.; Busson, A.; Peyrassol, X.; Wilkin, F.; Pichon, B.; Smits, G.; Vandernoot, I.; Goffard, J. -C.; Tiembe, N.; Morrison, D. R.; Afilalo, J.; Mooser, V.; Richards, J. B.; Rousseau, S.; Durand, M.; Butler-Laporte, G.; Forgetta, V.; Laurent, L.; Afrasiabi, Z.; Bouab, M.; Tselios, C.; Xue, X.; Afilalo, M.; Oliveira, M.; St-Cyr, J.; Boisclair, A.; Ragoussis, J.; Auld, D.; Kaufmann, D. E.; Lathrop, G. M.; Bourque, G.; Decary, S.; Falcone, E. L.; Montpetit, A.; Piche, A.; Renoux, C.; Tremblay, K.; Tse, S. M.; Zawati, M. H.; Davis, L. K.; Cox, N. J.; Below, J. E.; Sealock, J. M.; Faucon, A. B.; Shuey, M. M.; Polikowsky, H. G.; Petty, L. E.; Shaw, D. M.; Chen, H. -H.; Zhu, W.; Schmidt, A.; Ludwig, K. U.; Maj, C.; Rolker, S.; Balla, D.; Behzad, P.; Nothen, M. M.; Fazaal, J.; Keitel, V.; Keitel, V.; Jensen, B. -E. O.; Feldt, T.; Marx, N.; Dreher, M.; Pink, I.; Cornberg, M.; Illig, T.; Lehmann, C.; Schommers, P.; Rybniker, J.; Augustin, M.; Knopp, L.; Kurth, I.; Eggermann, T.; Volland, S.; Berger, M. M.; Brenner, T.; Hinney, A.; Witzke, O.; Konik, M. J.; Bals, R.; Herr, C.; Ludwig, N.; Walter, J.; Latz, E.; Schmidt, S. V.; Brooks, J. D.; Bull, S.; Elliott, L. T.; Gagnon, F.; Greenwood, C. M. T.; Hung, R. J.; Lawless, J. F.; Paterson, A. D.; Sun, L.; Rauh, M.; Briollais, L.; Gingras, A. -C.; Bombard, Y.; Pugh, T. J.; Simpson, J.; Goneau, L. W.; Halevy, A. R.; Maslove, D. M.; Borgundvaag, B.; Devine, L.; Bearss, E.; Richardson, D.; Arnoldo, S.; Friedman, S. M.; Taher, A.; Stern, S.; Dagher, M.; Vasilevska-Ristovska, J.; Biggs, C. M.; Mickiewicz, B.; Strug, L. J.; Scherer, S. W.; Aziz, N.; Jones, S. J. M.; Knoppers, B. M.; Lathrop, M.; Turvey, S. E.; Yeung, R. S. M.; Allen, U.; Cheung, A. M.; Herridge, M. S.; Hunt, M.; Lerner-Ellis, J.; Taher, J.; Parekh, R. S.; Hiraki, L. T.; Cowan, J.; Ducharme, F. M.; Ostrowski, M.; Bernier, F. P.; Kellner, J.; Garg, E.; Yoo, S.; Vlasschaert, C.; Frangione, E.; Chung, M.; Noor, A.; Green - 01a Articolo in rivista
rivista: NATURE (London: Nature Pubihing. Group-Springer Nature Limited -London : Macmillan, 1869- -New York, NY; Nature America Incorporated) pp. 7-26 - issn: 0028-0836 - wos: WOS:001112777800001 (35) - scopus: 2-s2.0-85178660706 (26)

11573/1726829 - 2023 - Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach
Keskin, O.; Lupidi, A.; Giannini, F.; Fioravanti, S.; Magister, L. C.; Barbiero, P.; Lio, P. - 04b Atto di convegno in volume
congresso: 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning, TAG-ML 2023, held at the International Conference on Machine Learning, ICML 2023 (Honolulu; usa)
libro: Proceedings of Machine Learning Research - ()

11573/1725225 - 2023 - Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Lishkova, Y.; Scherer, P.; Ridderbusch, S.; Jamnik, M.; Lio, P.; Ober-Blobaum, S.; Offen, C. - 04b Atto di convegno in volume
congresso: 22nd IFAC World Congress (Yokohama; jpn)
libro: 22nd IFAC World Congress - ()

11573/1728000 - 2023 - Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Lishkova, Y.; Scherer, P.; Ridderbusch, S.; Jamnik, M.; Lio, P.; Ober-Blobaum, S.; Offen, C. - 04b Atto di convegno in volume
congresso: 22nd IFAC World Congress (Yokohama; jpn)
libro: 22nd IFAC World Congress Yokohama, Japan, July 9-14, 2023 - (9781713872344)

11573/1726841 - 2023 - SCOTCH and SODA: A Transformer Video Shadow Detection Framework
Liu, L.; Prost, J.; Zhu, L.; Papadakis, N.; Lio, P.; Schonlieb, C. -B.; Aviles-Rivero, A. I. - 04b Atto di convegno in volume
congresso: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 (Vancouver; can)
libro: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition - (9798350301298)

11573/1723968 - 2023 - RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning
Lu, X.; Liu, C.; Zhu, S.; Mao, Y.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 3266-3279 - issn: 1045-9219 - wos: WOS:001097049800003 (0) - scopus: 2-s2.0-85176425068 (1)

11573/1723978 - 2023 - An LTE Authentication and Key Agreement Protocol Based on the ECC Self-Certified Public Key
Lu, X.; Yang, F.; Zou, L.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: IEEE-ACM TRANSACTIONS ON NETWORKING (Attuale:IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, USA, NJ, 08855 ACM / Association for Computing Machinery:1515 Broadway, 17th Floor:New York, NY 10036:(212)869-7440, EMAIL: acmhelp@hq.acm.org, INTERNET: http://www.acm.org, Fax: (212)944-1318) pp. 1101-1116 - issn: 1063-6692 - wos: WOS:000862440400001 (4) - scopus: 2-s2.0-85139494643 (4)

11573/1725178 - 2023 - GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network
Lu, X.; Zhang, X.; Lio, P. - 04b Atto di convegno in volume
congresso: 2023 World Wide Web Conference, WWW 2023 (Austin; usa)
libro: ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 - (9781450394161)

11573/1726842 - 2023 - Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Margeloiu, A.; Simidjievski, N.; Lio, P.; Jamnik, M. - 04b Atto di convegno in volume
congresso: 37th AAAI Conference on Artificial Intelligence, AAAI 2023 (Washington; usa)
libro: Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 - (9781577358800)

11573/1726836 - 2023 - A Federated Learning Benchmark for Drug-Target Interaction
Mittone, G.; Svoboda, F.; Aldinucci, M.; Lane, N.; Lio, P. - 04b Atto di convegno in volume
congresso: 2023 World Wide Web Conference, WWW 2023 (Austin; usa)
libro: ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 - (9781450394161)

11573/1726834 - 2023 - SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Norcliffe, A.; Cebere, B.; Imrie, F.; Lio, P.; Van Der Schaar, M. - 04b Atto di convegno in volume
congresso: International Conference on Artificial Intelligence and Statistics (Valencia, esp)
libro: Proceedings of Machine Learning Research - ()

11573/1723985 - 2023 - Controlling highway toll stations using deep learning, queuing theory, and differential evolution
Petrovic, A.; Nikolic, M.; Bugaric, U.; Delibasic, B.; Lio, P. - 01a Articolo in rivista
rivista: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0952-1976 - wos: WOS:000909707600001 (6) - scopus: 2-s2.0-85145652834 (12)

11573/1721241 - 2023 - The impact of imputation quality on machine learning classifiers for datasets with missing values
Shadbahr, T.; Roberts, M.; Stanczuk, J.; Gilbey, J.; Teare, P.; Dittmer, S.; Thorpe, M.; Torne, R. V.; Sala, E.; Lio, P.; Patel, M.; Preller, J.; Lio, P.; Walton, N.; Holzer, M.; Wassin, M.; Escudero Sanchez, L.; Babar, J.; Prosch, H.; Yang, G.; Langs, G.; Jefferson, E.; Korhonen, A.; Gkrania-Klotsas, E.; Weir-Mccall, J. R.; Breger, A.; Selby, I.; Rudd, J. H. F.; Mirtti, T.; Rannikko, A. S.; Aston, J. A. D.; Tang, J.; Schonlieb, C. -B. - 01a Articolo in rivista
rivista: COMMUNICATIONS MEDICINE (London: Nature Portfolio) pp. - - issn: 2730-664X - wos: WOS:001084384800001 (14) - scopus: 2-s2.0-85186503001 (17)

11573/1723977 - 2023 - MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model
Sun, Z.; Harit, A.; Cristea, A. I.; Wang, J.; Lio, P. - 01a Articolo in rivista
rivista: AI OPEN (Beijing: Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.) pp. 165-174 - issn: 2666-6510 - wos: WOS:001220897900001 (1) - scopus: 2-s2.0-85174744697 (2)

11573/1726847 - 2023 - A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning
Sun, Z.; Harit, A.; Cristea, A. I.; Wang, J.; Lio, P. - 04b Atto di convegno in volume
congresso: 2023 IEEE International Conference on Big Data, BigData 2023 (Sorrento; ita)
libro: 2023 IEEE International Conference on Big Data (BigData) - (9798350324457)

11573/1721251 - 2023 - Hypergraph factorization for multi-tissue gene expression imputation
Vinas, R.; Joshi, C. K.; Georgiev, D.; Lin, P.; Dumitrascu, B.; Gamazon, E. R.; Lio, P. - 01a Articolo in rivista
rivista: NATURE MACHINE INTELLIGENCE (London: Nature Research, 2019-) pp. 739-753 - issn: 2522-5839 - wos: WOS:001033508400002 (7) - scopus: 2-s2.0-85164955660 (9)

11573/1723984 - 2023 - Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images
Wang, Z.; Gao, Q.; Yi, X.; Zhang, X.; Zhang, Y.; Zhang, D.; Lio, P.; Bain, C.; Bassed, R.; Li, S.; Guo, Y.; Imoto, S.; Yao, J.; Daly, R. J.; Song, J. - 01a Articolo in rivista
rivista: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (Elsevier Science Ireland Limited:PO Box 85, Limerick Ireland:011 353 61 709600, 011 353 61 61944, EMAIL: usinfo-f@elsevier.com, INTERNET: http://www.elsevier.com, Fax: 011 353 61 709114) pp. - - issn: 0169-2607 - wos: WOS:001058418200001 (3) - scopus: 2-s2.0-85167570944 (4)

11573/1725235 - 2023 - Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Xuanyuan, H.; Barbiero, P.; Georgiev, D.; Magister, L. C.; Lio, P. - 04b Atto di convegno in volume
congresso: 37th AAAI Conference on Artificial Intelligence, AAAI 2023 (Washington; usa)
libro: Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 - (978-1-57735-880-0)

11573/1719139 - 2023 - Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast
Yang, J.; Li, X. -X.; Liu, F.; Nie, D.; Lio, P.; Qi, H.; Shen, D. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON MEDICAL IMAGING (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 1363-1373 - issn: 0278-0062 - wos: WOS:000982483400011 (2) - scopus: 2-s2.0-85144811118 (6)

11573/1725270 - 2023 - Graph Denoising Diffusion for Inverse Protein Folding
Yi, K.; Zhou, B.; Shen, Y.; Lio, P.; Wang, Y. G. - 04b Atto di convegno in volume
congresso: 37th Conference on Neural Information Processing Systems, NeurIPS 2023 (Ernest N. Morial Convention Center, usa)
libro: 37th Conference on Neural Information Processing Systems (NeurIPS 2023) - ()

11573/1725198 - 2023 - Will More Expressive Graph Neural Networks do Better on Generative Tasks?
Zou, X.; Zhao, X.; Lio, P.; Zhao, Y. - 04b Atto di convegno in volume
congresso: 2nd Learning on Graphs Conference, LOG 2023 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1723933 - 2022 - SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
Ahmad, S.; Charoenkwan, P.; Quinn, J. M. W.; Moni, M. A.; Hasan, M. M.; Lio, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000826474600186 (25) - scopus: 2-s2.0-85126076923 (26)

11573/1724040 - 2022 - A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data
Azevedo, T.; Campbell, A.; Romero-Garcia, R.; Passamonti, L.; Bethlehem, R. A. I.; Lio, P.; Toschi, N. - 01a Articolo in rivista
rivista: MEDICAL IMAGE ANALYSIS (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 1361-8415 - wos: WOS:000805189000006 (30) - scopus: 2-s2.0-85130337478 (37)

11573/1727094 - 2022 - Sheaf Neural Networks with Connection Laplacians
Barbero, F.; Bodnar, C.; De Ocariz Borde, H. S.; Bronstein, M.; Velickovic, P.; Lio, P. - 04b Atto di convegno in volume
congresso: ICML Workshop on Topology, Algebra, and Geometry in Machine Learning, TAG:ML 2022 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1721261 - 2022 - Entropy-Based Logic Explanations of Neural Networks
Barbiero, P.; Ciravegna, G.; Giannini, F.; Lio, P.; Gori, M.; Melacci, S. - 04b Atto di convegno in volume
congresso: AAAI Conference on Artificial Intelligence (Virtual, Online)
libro: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 - (9781577358763)

11573/1728549 - 2022 - Metabolically driven latent space learning for gene expression data
Barsacchi, M.; Andres-Terre, H.; Lio, P. - 02a Capitolo o Articolo
libro: Deep Learning In Biology and Medicine - (9781800610934; 9781800610941)

11573/1727368 - 2022 - Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Bodnar, C.; Di Giovanni, F.; Chamberlain, B. P.; Lio, P.; Bronstein, M. - 04b Atto di convegno in volume
congresso: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 (New Orleans Convention Center, usa)
libro: Advances in Neural Information Processing Systems - ()

11573/1727980 - 2022 - SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Buffelli, D.; Lio, P.; Vandin, F. - 04b Atto di convegno in volume
congresso: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 (New Orleans Convention Center, usa)
libro: Advances in Neural Information Processing Systems - ()

11573/1719137 - 2022 - CellVGAE: An unsupervised scRNA-seq analysis workflow with graph attention networks
Buterez, D.; Bica, I.; Tariq, I.; Andres-Terre, H.; Lio, P. - 01a Articolo in rivista
rivista: BIOINFORMATICS (-Oxford : Oxford University Press, 1998-) pp. 1277-1286 - issn: 1367-4803 - wos: WOS:000776280200013 (16) - scopus: 2-s2.0-85125465797 (19)

11573/1727088 - 2022 - Graph Neural Networks with Adaptive Readouts
Buterez, D.; Janet, J. P.; Kiddle, S. J.; Oglic, D.; Lio, P. - 04b Atto di convegno in volume
congresso: Advances in Neural Information Processing Systems (was NIPS) (New Orleans; USA)
libro: Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) - (9781713871088)

11573/1727087 - 2022 - Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles
Campbell, A.; Qendro, L.; Lio, P.; Mascolo, C. - 04b Atto di convegno in volume
congresso: 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 (Virtual, Online)
libro: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - ()

11573/1727973 - 2022 - Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
Cardozo, S.; Montero, G. I.; Kazhdan, D.; Dimanov, B.; Wijaya, M.; Jamnik, M.; Lio, P. - 04b Atto di convegno in volume
congresso: 2022 International Conference on Information and Knowledge Management Workshops, CIKM-WS 2022 (Atlanta; USA)
libro: CIKM-WS 2022 Proceedings of the CIKM 2022 Workshops - ()

11573/1721252 - 2022 - AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Charoenkwan, P.; Ahmed, S.; Nantasenamat, C.; Quinn, J. M. W.; Moni, M. A.; Lio, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000794011500005 (30) - scopus: 2-s2.0-85129950097 (38)

11573/1723946 - 2022 - SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
Charoenkwan, P.; Chiangjong, W.; Nantasenamat, C.; Moni, M. A.; Lio, P.; Manavalan, B.; Shoombuatong, W. - 01a Articolo in rivista
rivista: PHARMACEUTICS (Basel: MDPI, 2009-) pp. - - issn: 1999-4923 - wos: WOS:000758491900001 (12) - scopus: 2-s2.0-85122462153 (16)

11573/1724045 - 2022 - Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides
Charoenkwan, P.; Chumnanpuen, P.; Schaduangrat, N.; Lio, P.; Moni, M. A.; Shoombuatong, W. - 01a Articolo in rivista
rivista: JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN (-SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ -Kluwer Academic Publishers:Journals Department, PO Box 322, 3300 AH Dordrecht Netherlands:011 31 78 6576050, EMAIL: frontoffice@wkap.nl, kluweronline@wkap.nl, INTERNET: http://www.kluwerlaw.com, Fax: 011 31 78 6576254) pp. 781-796 - issn: 0920-654X - wos: WOS:000871816700001 (9) - scopus: 2-s2.0-85140646447 (11)

11573/1721253 - 2022 - StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
Charoenkwan, P.; Nantasenamat, C.; Hasan, M. M.; Moni, M. A.; Lio, P.; Manavalan, B.; Shoombuatong, W. - 01a Articolo in rivista
rivista: METHODS (-USa: Elsevier -Drive:Orlando, FL: Academic Press Incorporated) pp. 189-198 - issn: 1046-2023 - wos: WOS:000809913700012 (43) - scopus: 2-s2.0-85121757777 (47)

11573/1723943 - 2022 - Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins
Charoenkwan, P.; Schaduangrat, N.; Hasan, M. M.; Moni, M. A.; Lio, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: EXCLI JOURNAL (Mainz: EXCLI Journal Business Office c/o 2nd Medical Department, University of Mainz.) pp. 554-570 - issn: 1611-2156 - wos: WOS:000765031500001 (5) - scopus: 2-s2.0-85126034176 (6)

11573/1723942 - 2022 - iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides
Charoenkwan, P.; Schaduangrat, N.; Lio, P.; Moni, M. A.; Chumnanpuen, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: ACS OMEGA (Washington, D.C. : American Chemical Society, 2016-) pp. 41082-41095 - issn: 2470-1343 - wos: WOS:000880037400001 (3) - scopus: 2-s2.0-85141586738 (5)

11573/1721197 - 2022 - NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
Charoenkwan, P.; Schaduangrat, N.; Lio, P.; Moni, M. A.; Manavalan, B.; Shoombuatong, W. - 01a Articolo in rivista
rivista: COMPUTERS IN BIOLOGY AND MEDICINE (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0010-4825 - wos: WOS:000862784000001 (7) - scopus: 2-s2.0-85132841955 (14)

11573/1724057 - 2022 - Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
Charoenkwan, P.; Schaduangrat, N.; Lio, P.; Moni, M. A.; Shoombuatong, W.; Manavalan, B. - 01a Articolo in rivista
rivista: ISCIENCE ([Cambridge MA] : Cell Press Elsevier Inc.) pp. - - issn: 2589-0042 - wos: WOS:000848547400003 (15) - scopus: 2-s2.0-85136472726 (17)

11573/1721276 - 2022 - SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Charoenkwan, P.; Schaduangrat, N.; Moni, M. A.; Lio, P.; Manavalan, B.; Shoombuatong, W. - 01a Articolo in rivista
rivista: COMPUTERS IN BIOLOGY AND MEDICINE (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0010-4825 - wos: WOS:000814689600003 (33) - scopus: 2-s2.0-85131801539 (37)

11573/1723939 - 2022 - System Neural Network: Evolution and Change Based Structure Learning
Chaturvedi, A.; Tiwari, A.; Chaturvedi, S.; Lio, P. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE (Piscataway NJ: IEEE) pp. 426-435 - issn: 2691-4581 - wos: (0) - scopus: 2-s2.0-85132962017 (5)

11573/1721199 - 2022 - AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis
Chen, Y.; Schonlieb, C. -B.; Lio, P.; Leiner, T.; Dragotti, P. L.; Wang, G.; Rueckert, D.; Firmin, D.; Yang, G. - 01g Articolo di rassegna (Review)
rivista: PROCEEDINGS OF THE IEEE (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 224-245 - issn: 0018-9219 - wos: WOS:000752012400007 (61) - scopus: 2-s2.0-85124598976 (68)

11573/1724052 - 2022 - A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth
Coggan, H.; Andres Terre, H.; Lio, P. - 01a Articolo in rivista
rivista: FRONTIERS IN BIG DATA ([Lausanne]: Frontiers Media S.A.) pp. - - issn: 2624-909X - wos: WOS:000860575800001 (0) - scopus: 2-s2.0-85139045166 (0)

11573/1723948 - 2022 - Modeling Brain–Heart Crosstalk Information in Patients with Traumatic Brain Injury
Dimitri, G. M.; Beqiri, E.; Placek, M. M.; Czosnyka, M.; Stocchetti, N.; Ercole, A.; Smielewski, P.; Lio, P.; Anke, A.; Beer, R.; Bellander, B. -M.; Buki, A.; Cabeleira, M.; Carbonara, M.; Chieregato, A.; Citerio, G.; Clusmann, H.; Czeiter, E.; Depreitere, B.; Frisvold, S.; Helbok, R.; Jankowski, S.; Kondziella, D.; Koskinen, L. -O.; Kowark, A.; Menon, D. K.; Meyfroidt, G.; Moeller, K.; Nelson, D.; Piippo-Karjalainen, A.; Radoi, A.; Ragauskas, A.; Raj, R.; Rhodes, J.; Rocka, S.; Rossaint, R.; Sahuquillo, J.; Sakowitz, O.; Sundstrom, N.; Takala, R.; Tamosuitis, T.; Tenovuo, O.; Unterberg, A.; Vajkoczy, P.; Vargiolu, A.; Vilcinis, R.; Wolf, S.; Younsi, A.; Zeiler, F. A. - 01a Articolo in rivista
rivista: NEUROCRITICAL CARE (Totowa, NJ : Humana Press, c2004-) pp. 738-750 - issn: 1541-6933 - wos: WOS:000706561400002 (9) - scopus: 2-s2.0-85127633732 (12)

11573/1724050 - 2022 - NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerprints
Dimitri, G. M.; Meoni, G.; Tenori, L.; Luchinat, C.; Lio, P. - 01a Articolo in rivista
rivista: APPLIED SCIENCES (Basel: MDPI AG, 2011-) pp. - - issn: 2076-3417 - wos: WOS:000858047600001 (1) - scopus: 2-s2.0-85138665413 (1)

11573/1721246 - 2022 - Multimodal and multicontrast image fusion via deep generative models
Dimitri, G. M.; Spasov, S.; Duggento, A.; Passamonti, L.; Lio, P.; Toschi, N. - 01a Articolo in rivista
rivista: INFORMATION FUSION (Elsevier Science) pp. 146-160 - issn: 1566-2535 - wos: WOS:000850689600001 (24) - scopus: 2-s2.0-85135723814 (25)

11573/1727982 - 2022 - Context Correlation Aware Network for Cardiac Segmentation
Fan, J.; Pei, J.; Bi, X.; Xiao, B.; Lio, P. - 04b Atto di convegno in volume
congresso: IEEE International Conference on Multimedia and Expo (Taipei; twn)
libro: Proceedings - IEEE International Conference on Multimedia and Expo - ()

11573/1727358 - 2022 - Algorithmic Concept-Based Explainable Reasoning
Georgiev, D.; Barbiero, P.; Kazhdan, D.; Velickovic, P.; Lio, P. - 04b Atto di convegno in volume
congresso: National Conference of the American Association for Artificial Intelligence (Virtual, Online22 February 2022through 1 March 2022)
libro: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 - ()

11573/1727999 - 2022 - Continuous Neural Algorithmic Planners
He, Y.; Velickovic, P.; Lio, P.; Deac, A. - 04b Atto di convegno in volume
congresso: 1st Learning on Graphs Conference, LOG 2022 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1727998 - 2022 - Composite Feature Selection Using Deep Ensembles
Imrie, F.; Norcliffe, A.; Lio, P.; Van Der Schaar, M. - 04b Atto di convegno in volume
congresso: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 (New Orleans Convention Center, usa)
libro: Advances in Neural Information Processing Systems - (9781713871088)

11573/1728003 - 2022 - Extending Logic Explained Networks to Text Classification
Jain, R.; Ciravegna, G.; Barbiero, P.; Giannini, F.; Buffelli, D.; Lio, P. - 04b Atto di convegno in volume
congresso: 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 (are)
libro: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 - ()

11573/1727975 - 2022 - Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Jamasb, A. R.; Vinas, R.; Ma, E. J.; Harris, C.; Huang, K.; Hall, D.; Lio, P.; Blundell, T. L. - 04b Atto di convegno in volume
congresso: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 (New Orleans Convention Center, usa)
libro: Advances in Neural Information Processing Systems 35 (NeurIPS 2022) - (9781713871088)

11573/1728005 - 2022 - You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration
Liu, L.; Huang, Z.; Lio, P.; Schonlieb, C. -B.; Aviles-Rivero, A. I. - 04b Atto di convegno in volume
congresso: 10th International Workshop on Biomedical Image Registration, WBIR 2020 (Munich; deu)
libro: Biomedical Image Registration - ()

11573/1723941 - 2022 - Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping
Lu, X.; Liao, Y.; Liu, C.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: IEEE INTERNET OF THINGS JOURNAL (Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2014-.) pp. 6058-6068 - issn: 2327-4662 - wos: WOS:000803126900045 (15) - scopus: 2-s2.0-85114722134 (21)

11573/1728553 - 2022 - Second International Workshop On Artificial Intelligence To Security - AITS 2022
Lu, X.; Lio, P. - 02g Introduzione in volume
libro: 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) - ()

11573/1728555 - 2022 - Poster: CFMAP: A Robust CPU Clock Fingerprint Model for Device Authentication
Lu, X.; Pang, R.; Lio, P. - 04b Atto di convegno in volume
congresso: ACM Conference on Computer and Communications Security (Los Angeles; usa)
libro: Proceedings of the ACM Conference on Computer and Communications Security - ()

11573/1724048 - 2022 - Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map
Lu, X.; Xue, A.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: APPLIED SCIENCES (Basel: MDPI AG, 2011-) pp. - - issn: 2076-3417 - wos: WOS:000887166100001 (0) - scopus: 2-s2.0-85142826153 (0)

11573/1727267 - 2022 - Robust android malware detection based on subgraph network and denoising GCN network
Lu, X.; Zhao, J.; Lio, P. - 04b Atto di convegno in volume
congresso: 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022 (usa)
libro: MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services - (9781450391856)

11573/1721220 - 2022 - Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson’s disease patients
Meoni, G.; Tenori, L.; Schade, S.; Licari, C.; Pirazzini, C.; Bacalini, M. G.; Garagnani, P.; Turano, P.; Molin, A. D.; Bartoletti-Stella, A.; Gabellini, A.; Adarmes-Gomez, A. D.; Scaglione, C. L. M.; Nardini, C.; Rosaria, C.; Boninsegna, C.; Sala, C.; Giuliani, C.; Tejera-Parrado, C.; Macias, D.; Buiza-Rueda, D.; Williams, D.; Zago, E.; Provini, F.; Magrinelli, F.; Mignani, F.; Ravaioli, F.; Valzania, F.; Sixel-Doring, F.; Mengozzi, G.; Calandra-Buonaura, G.; Dimitri, G. M.; Fabbri, G.; Houlden, H.; Huertas, I.; Doykov, I.; Hallqvist, J.; Rodriguez, J. F. M.; Jylhava, J.; Bhatia, K. P.; Mills, K.; Baldelli, L.; Xumerle, L.; Sambati, L.; Milazzo, M.; Broli, M.; Maturo, M. G.; Perinan-Tocino, M. T.; Carrion-Claro, M.; Bonilla-Toribio, M.; Delledonne, M.; Labrador-Espinosa, M. A.; Pedersen, N. L.; Mir, P.; De Massis, P.; Cortelli, P.; Guaraldi, P.; Lio, P.; Gomez-Garre, P.; Clayton, R.; Escuela-Martin, R.; Ortega, R. V.; Capellari, S.; Hagg, S.; Schreglmann, S. R.; De Luca, S.; Spasov, S.; Nassetti, S. A.; Macri, S.; Azevedo, T.; Heywood, W.; Trenkwalder, C.; Franceschi, C.; Mollenhauer, B.; Luchinat, C. - 01a Articolo in rivista
rivista: NPJ PARKINSON'S DISEASE ([New York NY] : Nature Publishing Group; Parkinson's Disease Foundation , [2015]-) pp. - - issn: 2373-8057 - wos: WOS:000752890000001 (13) - scopus: 2-s2.0-85127431472 (13)

11573/1727366 - 2022 - Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes
Opolka, F. L.; Lio, P. - 04b Atto di convegno in volume
congresso: International Conference on Artificial Intelligence and Statistics (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1727978 - 2022 - Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
Opolka, F. L.; Zhi, Y. -C.; Lio, P.; Dong, X. - 04b Atto di convegno in volume
congresso: International Conference on Artificial Intelligence and Statistics (esp)
libro: Proceedings of Machine Learning Research - ()

11573/1728006 - 2022 - Learning Graph Search Heuristics
Pandy, M.; Qiu, W.; Corso, G.; Velickovic, P.; Ying, R.; Leskovec, J.; Lio, P. - 04b Atto di convegno in volume
congresso: 1st Learning on Graphs Conference, LOG 2022 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1723945 - 2022 - Transcriptional biomarkers of response to pharmacological treatments in severe mental disorders: A systematic review
Pisanu, C.; Severino, G.; De Toma, I.; Dierssen, M.; Fusar-Poli, P.; Gennarelli, M.; Lio, P.; Maffioletti, E.; Maron, E.; Mehta, D.; Minelli, A.; Potier, M. -C.; Serretti, A.; Stacey, D.; Van Westrhenen, R.; Xicota, L.; Baune, B. T.; Squassina, A. - 01a Articolo in rivista
rivista: EUROPEAN NEUROPSYCHOPHARMACOLOGY (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. 112-157 - issn: 0924-977X - wos: WOS:000778399200001 (6) - scopus: 2-s2.0-85122503280 (7)

11573/1727974 - 2022 - Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net
Qian, P.; Yang, J.; Lio, P.; Hu, P.; Qi, H. - 04b Atto di convegno in volume
congresso: 26th Annual Conference on Medical Image Understanding and Analysis, MIUA 2022 (Cambridge; UK)
libro: Medical Image Understanding and Analysis - ()

11573/1721272 - 2022 - StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy
Schaduangrat, N.; Anuwongcharoen, N.; Moni, M. A.; Lio, P.; Charoenkwan, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000862424900022 (9) - scopus: 2-s2.0-85139231644 (12)

11573/1723940 - 2022 - Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
Scherer, P.; Trebacz, M.; Simidjievski, N.; Vinas, R.; Shams, Z.; Terre, H. A.; Jamnik, M.; Lio, P. - 01a Articolo in rivista
rivista: BIOINFORMATICS (-Oxford : Oxford University Press, 1998-) pp. 1320-1327 - issn: 1367-4803 - wos: WOS:000776280200018 (1) - scopus: 2-s2.0-85125467784 (2)

11573/1721198 - 2022 - 3D Infomax improves GNNs for Molecular Property Prediction
Stark, H.; Beaini, D.; Corso, G.; Tossou, P.; Dallago, C.; Gunnemann, S.; Lio, P. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Baltimore; usa)
libro: International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA - ()

11573/1721185 - 2022 - Do We Need Anisotropic Graph Neural Networks?
Tailor, S. A.; Opolka, F. L.; Lio, P.; Lane, N. D. - 04b Atto di convegno in volume
congresso: International Conference on Learning Representations (Virtual, Online)
libro: ICLR 2022 - 10th International Conference on Learning Representations - ()

11573/1728001 - 2022 - Predicting Patient Outcomes with Graph Representation Learning
Tong, C.; Rocheteau, E.; Velickovic, P.; Lane, N.; Lio, P. - 04b Atto di convegno in volume
congresso: 5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Virtual, Online)
libro: Studies in Computational Intelligence - ()

11573/1728546 - 2022 - Molecular markers and genomics for food and beverages characterization
Vignani, R.; Scali, M.; Lio, P. - 02a Capitolo o Articolo
libro: Handbook of DNA Profiling - (9789811643170; 9789811643187)

11573/1723947 - 2022 - Adversarial generation of gene expression data
Vinas, R.; Andres-Terre, H.; Lio, P.; Bryson, K. - 01a Articolo in rivista
rivista: BIOINFORMATICS (-Oxford : Oxford University Press, 1998-) pp. 730-737 - issn: 1367-4803 - wos: WOS:000743386000016 (16) - scopus: 2-s2.0-85104964852 (21)

11573/1721235 - 2022 - Cell graph neural networks enable the precise prediction of patient survival in gastric cancer
Wang, Y.; Wang, Y. G.; Hu, C.; Li, M.; Fan, Y.; Otter, N.; Sam, I.; Gou, H.; Hu, Y.; Kwok, T.; Zalcberg, J.; Boussioutas, A.; Daly, R. J.; Montufar, G.; Lio, P.; Xu, D.; Webb, G. I.; Song, J. - 01a Articolo in rivista
rivista: NPJ PRECISION ONCOLOGY (Pathology. Clinical medicine) pp. - - issn: 2397-768X - wos: WOS:000815092000001 (26) - scopus: 2-s2.0-85132576741 (26)

11573/1724059 - 2022 - End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRI
Yang, J.; Kustner, T.; Hu, P.; Lio, P.; Qi, H. - 01a Articolo in rivista
rivista: FRONTIERS IN CARDIOVASCULAR MEDICINE (Lausanne: Frontiers Media S.A., 2014-) pp. - - issn: 2297-055X - wos: WOS:001026905400001 (10) - scopus: 2-s2.0-85138492629 (10)

11573/1727086 - 2022 - Approximate Equivariance SO(3) Needlet Convolution
Yi, K.; Chen, J.; Wang, Y. G.; Zhou, B.; Lio, P.; Fan, Y.; Hamann, J. - 04b Atto di convegno in volume
congresso: ICML Workshop on Topology, Algebra, and Geometry in Machine Learning, TAG:ML 2022 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1727269 - 2022 - Guest Editorial: Non-Euclidean Machine Learning
Zafeiriou, S.; Bronstein, M.; Cohen, T.; Vinyals, O.; Song, L.; Leskovec, J.; Lio, P.; Bruna, J.; Gori, M. - 01m Editorial/Introduzione in rivista
rivista: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667) pp. 723-726 - issn: 0162-8828 - wos: WOS:000740006100014 (13) - scopus: 2-s2.0-85122822225 (15)

11573/1721233 - 2022 - Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients
Zago, E.; Dal Molin, A.; Dimitri, G. M.; Xumerle, L.; Pirazzini, C.; Bacalini, M. G.; Maturo, M. G.; Azevedo, T.; Spasov, S.; Gomez-Garre, P.; Perinan, M. T.; Jesus, S.; Baldelli, L.; Sambati, L.; Calandra-Buonaura, G.; Garagnani, P.; Provini, F.; Cortelli, P.; Mir, P.; Trenkwalder, C.; Mollenhauer, B.; Franceschi, C.; Lio, P.; Nardini, C.; Adarmes-Gomez, A.; Azevedo, T.; Bacalini, M. G.; Baldelli, L.; Bartoletti-Stella, A.; Bhatia, K. P.; Marta, B. -T.; Boninsegna, C.; Broli, M.; Dolores, B. -R.; Calandra-Buonaura, G.; Capellari, S.; Carrion-Claro, M.; Cilea, R.; Clayton, R.; Cortelli, P.; Molin, A. D.; De Luca, S.; De Massis, P.; Dimitri, G. M.; Doykov, I.; Escuela-Martin, R.; Fabbri, G.; Franceschi, C.; Gabellini, A.; Garagnani, P.; Giuliani, C.; Gomez-Garre, P.; Guaraldi, P.; Hagg, S.; Hallqvist, J.; Halsband, C.; Heywood, W.; Houlden, H.; Huertas, I.; Jesus, S.; Jylhava, J.; Labrador-Espinosa, M. A.; Licari, C.; Lio, P.; Luchinat, C.; Macias, D.; Macri, S.; Magrinelli, F.; Rodriguez, J. F. M.; Massimo, D.; Maturo, M. G.; Mengozzi, G.; Meoni, G.; Mignani, F.; Milazzo, M.; Mills, K.; Mir, P.; Mollenhauer, B.; Nardini, C.; Nassetti, S. A.; Pedersen, N. L.; Perinan-Tocino, M. T.; Pirazzini, C.; Provini, F.; Ravaioli, F.; Sala, C.; Sambati, L.; Scaglione, C. L. M.; Schade, S.; Schreglmann, S.; Spasov, S.; Strom, S.; Tejera-Parrado, C.; Tenori, L.; Trenkwalder, C.; Turano, P.; Valzania, F.; Ortega, R. V.; Williams, D.; Xumerle, L.; Zago, E. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000747291900029 (19) - scopus: 2-s2.0-85123595055 (20)

11573/1727362 - 2022 - Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; Shams, Z.; Precioso, F.; Melacci, S.; Weller, A.; Lio, P.; Jamnik, M. - 04b Atto di convegno in volume
congresso: 36th Conference on Neural Information Processing Systems, NeurIPS 2022 (New Orleans Convention Center, usa)
libro: Advances in Neural Information Processing Systems - ()

11573/1727977 - 2022 - Well-conditioned Spectral Transforms for Dynamic Graph Representation
Zhou, B.; Liu, X.; Liu, Y.; Huang, Y.; Lio, P.; Wang, Y. G. - 04b Atto di convegno in volume
congresso: 1st Learning on Graphs Conference, LOG 2022 (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1724039 - 2021 - Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Azevedo, T.; Dimitri, G. M.; Lio, P.; Gamazon, E. R. - 01a Articolo in rivista
rivista: NPJ SYSTEMS BIOLOGY AND APPLICATIONS (London : Nature Partner Journals) pp. - - issn: 2056-7189 - wos: WOS:000655666200001 (6) - scopus: 2-s2.0-85106985178 (6)

11573/1724044 - 2021 - Modeling Social Groups, Policies and Cognitive Behavior in COVID-19 Epidemic Phases. Basic Scenarios
Bagnoli, F.; Lorini, D.; Lio, P. - 01a Articolo in rivista
rivista: SUBSTANTIA (Florence: Firenze University press) pp. - - issn: 2532-3997 - wos: (0) - scopus: 2-s2.0-85089278890 (1)

11573/1724047 - 2021 - Heterogeneity of prodromal Parkinson symptoms in siblings of Parkinson disease patients
Baldelli, L.; Schade, S.; Jesus, S.; Schreglmann, S. R.; Sambati, L.; Gomez-Garre, P.; Halsband, C.; Calandra-Buonaura, G.; Adarmes-Gomez, A. D.; Sixel-Doring, F.; Zenesini, C.; Pirazzini, C.; Garagnani, P.; Bacalini, M. G.; Bhatia, K. P.; Cortelli, P.; Mollenhauer, B.; Franceschi, C.; Houlden, H.; Lio, P.; Luchinat, C.; Delledonne, M.; Mills, K.; Pedersen, N. L.; Azevedo, T.; Bartoletti-Stella, A.; Bonilla-Toribio, M.; Buiza-Rueda, D.; Capellari, S.; Carrion-Claro, M.; Clayton, R.; Dal Molin, A.; Dimitri, G. M.; Doykov, I.; Giuliani, C.; Hagg, S.; Hallqvist, J.; Heywood, W.; Huertas, I.; Jylhava, J.; Labrador-Espinosa, M. A.; Licari, C.; Macias, D.; Magrinelli, F.; Rodriguez, J. F. M.; Maturo, M. G.; Mengozzi, G.; Meoni, G.; Milazzo, M.; Nardini, C.; Pedersen, N. L.; Perinan-Tocino, M. T.; Ravaioli, F.; Sala, C.; Spasov, S.; Tejera-Parrado, C.; Tenori, L.; Paola, T.; Williams, D.; Xumerle, L.; Zago, E.; Broli, M.; Buiza-Rueda, D.; De Massis, P.; Escuela-Martin, R.; Fabbri, G.; Gabellini, A.; Guaraldi, P.; Houlden, H.; Macri, S.; Nassetti, S. A.; Scaglione, C. L. M.; Valzania, F.; Rosaria, C.; Mignani, F.; Ortega, R. V.; Boninsegna, C.; De Luca, S.; Mir, P.; Trenkwalder, C.; Provini, F. - 01a Articolo in rivista
rivista: NPJ PARKINSON'S DISEASE ([New York NY] : Nature Publishing Group; Parkinson's Disease Foundation , [2015]-) pp. - - issn: 2373-8057 - wos: WOS:000694221700001 (3) - scopus: 2-s2.0-85114711457 (3)

11573/1719880 - 2021 - A class-contrastive human-interpretable machine learning approach to predict mortality in severe mental illness
Banerjee, S.; Lio, P.; Jones, P. B.; Cardinal, R. N. - 01a Articolo in rivista
rivista: NPJ SCHIZOPHRENIA (London [u.a.] : Nature Publ. Group) pp. - - issn: 2334-265X - wos: WOS:000728896500001 (4) - scopus: 2-s2.0-85120948822 (6)

11573/1719876 - 2021 - Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin
Barbiero, P.; Vinas Torne, R.; Lio, P. - 01a Articolo in rivista
rivista: FRONTIERS IN GENETICS (Lausanne : Frontiers Research Foundation, 2010-) pp. - - issn: 1664-8021 - wos: WOS:000702011300001 (19) - scopus: 2-s2.0-85116047083 (34)

11573/1724055 - 2021 - Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks
Bardozzo, F.; Lio, P.; Tagliaferri, R. - 01a Articolo in rivista
rivista: BIOINFORMATICS (-Oxford : Oxford University Press, 1998-) pp. 1411-1419 - issn: 1367-4803 - wos: WOS:000693168900010 (1) - scopus: 2-s2.0-85108385995 (1)

11573/1720083 - 2021 - Directional Graph Networks
Beaini, D.; Passaro, S.; Letourneau, V.; Hamilton, W. L.; Corso, G.; Lio, P. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Virtual; Online)
libro: 38th International Conference on Machine Learning, ICML 2021 - (9781713845065)

11573/1720248 - 2021 - Resilience learning through self adaptation in digital twins of human-cyber-physical systems
Bellini, E.; Bagnoli, F.; Caporuscio, M.; Damiani, E.; Flammini, F.; Linkov, I.; Lio, P.; Marrone, S. - 04b Atto di convegno in volume
congresso: 2021 IEEE International Conference on Cyber Security and Resilience, CSR 2021 (Virtual, Rhodes)
libro: 2021 IEEE International Conference on Cyber Security and Resilience (CSR) - (9781665402859)

11573/1724051 - 2021 - Deep Graph Mapper: Seeing Graphs Through the Neural Lens
Bodnar, C.; Cangea, C.; Lio, P. - 01a Articolo in rivista
rivista: FRONTIERS IN BIG DATA ([Lausanne]: Frontiers Media S.A.) pp. - - issn: 2624-909X - wos: WOS:000669949100001 (9) - scopus: 2-s2.0-85110549768 (13)

11573/1721061 - 2021 - Weisfeiler and Lehman Go Cellular: CW Networks
Bodnar, C.; Frasca, F.; Otter, N.; Wang, Y. G.; Lio, P.; Montufar, G.; Bronstein, M. - 04b Atto di convegno in volume
congresso: 35th Conference on Neural Information Processing Systems, NeurIPS 2021 (Virtual, Online)
libro: Advances in Neural Information Processing Systems - (9781713845393)

11573/1721095 - 2021 - Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Bodnar, C.; Frasca, F.; Wang, Y. G.; Otter, N.; Montufar, G.; Lio, P.; Bronstein, M. M. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1723820 - 2021 - Evolution toward beta common chain receptor usage links the matrix proteins of HIV-1 and its ancestors to human erythropoietin
Caccuri, F.; D'ursi, P.; Uggeri, M.; Bugatti, A.; Mazzuca, P.; Zani, A.; Filippini, F.; Salmona, M.; Ribatti, D.; Slevin, M.; Orro, A.; Lu, W.; Lio, P.; Gallo, R. C.; Caruso, A. - 01a Articolo in rivista
rivista: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (National Academy of Sciences:2101 Constitution Avenue Northwest:Washington, DC 20418:(877)314-2253, (615)377-3322, EMAIL: subspnas@nas.edu, INTERNET: http://www.pnas.org, Fax: (615)377-0525) pp. - - issn: 0027-8424 - wos: WOS:000607277100088 (5) - scopus: 2-s2.0-85099071371 (5)

11573/1723927 - 2021 - From Infection to Immunity: Understanding the Response to SARS-CoV2 Through In-Silico Modeling
Castiglione, F.; Deb, D.; Srivastava, A. P.; Lio, P.; Liso, A. - 01a Articolo in rivista
rivista: FRONTIERS IN IMMUNOLOGY (Lausanne : Frontiers Research Foundation, 2010-) pp. - - issn: 1664-3224 - wos: WOS:000697376500001 (38) - scopus: 2-s2.0-85115403578 (40)

11573/1723818 - 2021 - Ibitter‐fuse: A novel sequence‐based bitter peptide predictor by fusing multi‐view features
Charoenkwan, P.; Nantasenamat, C.; Hasan, M. M.; Moni, M. A.; Lio, P.; Shoombuatong, W. - 01a Articolo in rivista
rivista: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (Basel: MDPI Center) pp. - - issn: 1422-0067 - wos: WOS:000690645200001 (32) - scopus: 2-s2.0-85112748133 (36)

11573/1723931 - 2021 - ML-SIM: Universal reconstruction of structured illumination microscopy images using transfer learning
Christensen, C. N.; Ward, E. N.; Lu, M.; Lio, P.; Kaminski, C. F. - 01a Articolo in rivista
rivista: BIOMEDICAL OPTICS EXPRESS (Washington, DC : Optical Society of America) pp. 2720-2733 - issn: 2156-7085 - wos: WOS:000647766300006 (42) - scopus: 2-s2.0-85105320759 (49)

11573/1720269 - 2021 - Neural Distance Embeddings for Biological Sequences
Corso, G.; Ying, R.; Pandy, M.; Velickovic, P.; Leskovec, J.; Lio, P. - 04b Atto di convegno in volume
congresso: Advances in Neural Information Processing Systems (was NIPS) (virtual)
libro: 35th Conference on Neural Information Processing Systems, NeurIPS 2021 - ()

11573/1723819 - 2021 - Advantages of using graph databases to explore chromatin conformation capture experiments
D'agostino, D.; Lio, P.; Aldinucci, M.; Merelli, I. - 01a Articolo in rivista
rivista: BMC BIOINFORMATICS ([London]: BioMed Central, [2000]-) pp. - - issn: 1471-2105 - wos: WOS:000644656800004 (2) - scopus: 2-s2.0-85104870968 (2)

11573/1728552 - 2021 - Analysis of Cardio-Cerebral Crosstalk Events in an Adult Cohort from the CENTER-TBI Study
Dimitri, G. M.; Beqiri, E.; Czosnyka, M.; Ercole, A.; Smielewski, P.; Lio, P. - 02a Capitolo o Articolo
libro: Acta Neurochirurgica, Supplementum - (9783030594350; 9783030594367)

11573/1719874 - 2021 - Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Islam, M. R.; Moni, M. A.; Islam, M. M.; Rashed-Al-Mahfuz, M.; Islam, M. S.; Hasan, M. K.; Hossain, M. S.; Ahmad, M.; Uddin, S.; Azad, A.; Alyami, S. A.; Ahad, M. A. R.; Lio, P. - 01a Articolo in rivista
rivista: IEEE ACCESS (Piscataway NJ: Institute of Electrical and Electronics Engineers) pp. 94601-94624 - issn: 2169-3536 - wos: WOS:000674234300001 (71) - scopus: 2-s2.0-85112098113 (118)

11573/1724043 - 2021 - Cosmonet: An r package for survival analysis using screening-network methods
Iuliano, A.; Occhipinti, A.; Angelini, C.; De Feis, I.; Lio, P. - 01a Articolo in rivista
rivista: MATHEMATICS (Basel: MDPI AG, 2013-) pp. - - issn: 2227-7390 - wos: WOS:000736332000001 (4) - scopus: 2-s2.0-85121286297 (5)

11573/1728551 - 2021 - Deep Learning for Protein–Protein Interaction Site Prediction
Jamasb, A. R.; Day, B.; Cangea, C.; Lio, P.; Blundell, T. L. - 02a Capitolo o Articolo
libro: Methods in Molecular Biology - (9781071616406; 9781071616413)

11573/1720244 - 2021 - A Multiscale Graph Convolutional Network Using Hierarchical Clustering
Lipov, A.; Lio, P. - 04b Atto di convegno in volume
congresso: Future of Information and Communication Conference, FICC 2021 (Cagliari; Italy)
libro: Advances in Information and Communication - (978-3-030-73102-1)

11573/1723925 - 2021 - A Fine-Grained IoT Data Access Control Scheme Combining Attribute-Based Encryption and Blockchain
Lu, X.; Fu, S.; Jiang, C.; Lio, P. - 01a Articolo in rivista
rivista: SECURITY AND COMMUNICATION NETWORKS (John Wiley & Sons, Ltd.) pp. - - issn: 1939-0114 - wos: WOS:000700342600001 (11) - scopus: 2-s2.0-85116399569 (28)

11573/1720270 - 2021 - International Workshop on Application of Intelligent Technology in Security - AITS 2021
Lu, X.; Lio, P. - 04b Atto di convegno in volume
congresso: 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2021 (Taipei, Taiwan)
libro: Proceedings - 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2021 - ()

11573/1719862 - 2021 - A universal malicious documents static detection framework based on feature generalization
Lu, X.; Wang, F.; Jiang, C.; Lio, P. - 01a Articolo in rivista
rivista: APPLIED SCIENCES (Basel: MDPI AG, 2011-) pp. - - issn: 2076-3417 - wos: WOS:000777820200001 (5) - scopus: 2-s2.0-85121715978 (14)

11573/1723928 - 2021 - Pathogenetic profiling of COVID-19 and SARS-like viruses
Nain, Z.; Rana, H. K.; Lio, P.; Islam, S. M. S.; Summers, M. A.; Moni, M. A. - 01a Articolo in rivista
rivista: BRIEFINGS IN BIOINFORMATICS (-Oxford : Oxford Journals -London : Henry Stewart, 2000-) pp. 1175-1196 - issn: 1467-5463 - wos: WOS:000642298000044 (34) - scopus: 2-s2.0-85103474335 (40)

11573/1721094 - 2021 - Neural ODE Processes
Norcliffe, A.; Bodnar, C.; Day, B.; Moss, J.; Lio, P. - 04b Atto di convegno in volume
congresso: 9th International Conference on Learning Representations, ICLR 2021 (Virtual, Online)
libro: ICLR 2021 - 9th International Conference on Learning Representations - ()

11573/1728554 - 2021 - A geroscience approach for Parkinson's disease: Conceptual framework and design of PROPAG-AGEING project
Pirazzini, C.; Azevedo, T.; Baldelli, L.; Bartoletti-Stella, A.; Calandra-Buonaura, G.; Dal Molin, A.; Dimitri, G. M.; Doykov, I.; Gomez-Garre, P.; Hagg, S.; Hallqvist, J.; Halsband, C.; Heywood, W.; Jesus, S.; Jylhava, J.; Kwiatkowska, K. M.; Labrador-Espinosa, M. A.; Licari, C.; Maturo, M. G.; Mengozzi, G.; Meoni, G.; Milazzo, M.; Perinan-Tocino, M. T.; Ravaioli, F.; Sala, C.; Sambati, L.; Schade, S.; Schreglmann, S.; Spasov, S.; Tenori, L.; Williams, D.; Xumerle, L.; Zago, E.; Bhatia, K. P.; Capellari, S.; Cortelli, P.; Garagnani, P.; Houlden, H.; Lio, P.; Luchinat, C.; Delledonne, M.; Mills, K.; Mir, P.; Mollenhauer, B.; Nardini, C.; Pedersen, N. L.; Provini, F.; Strom, S.; Trenkwalder, C.; Turano, P.; Bacalini, M. G.; Franceschi, C.; Adarmes-Gomez, A.; Bonilla-Toribio, M.; Boninsegna, C.; Broli, M.; Buiza-Rueda, D.; Carrion-Claro, M.; Cilea, R.; Clayton, R.; Molin, A. D.; De Luca, S.; De Massis, P.; Escuela-Martin, R.; Fabbri, G.; Gabellini, A.; Giuliani, C.; Guaraldi, P.; Huertas, I.; Macias, D.; Macri, S.; Magrinelli, F.; Rodriguez, J. F. M.; Mignani, F.; Nassetti, S. A.; Scaglione, C. L. M.; Tejera-Parrado, C.; Valzania, F.; Ortega, R. V. - 01g Articolo di rassegna (Review)
rivista: MECHANISMS OF AGEING AND DEVELOPMENT (Elsevier Science Ireland Limited:PO Box 85, Limerick Ireland:011 353 61 709600, 011 353 61 61944, EMAIL: usinfo-f@elsevier.com, INTERNET: http://www.elsevier.com, Fax: 011 353 61 709114) pp. - - issn: 0047-6374 - wos: WOS:000626268000009 (13) - scopus: 2-s2.0-85099396161 (14)

11573/1723822 - 2021 - Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions
Rashed-Al-Mahfuz, M.; Moni, M. A.; Lio, P.; Islam, S. M. S.; Berkovsky, S.; Khushi, M.; Quinn, J. M. W. - 01a Articolo in rivista
rivista: BIOMEDICAL ENGINEERING LETTERS (Seoul: Daehanuiyongsaengchegonghakoe) pp. 147-162 - issn: 2093-9868 - wos: WOS:000618717200001 (29) - scopus: 2-s2.0-85101898035 (34)

11573/1721190 - 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Roberts, M.; Driggs, D.; Thorpe, M.; Gilbey, J.; Yeung, M.; Ursprung, S.; Aviles-Rivero, A. I.; Etmann, C.; Mccague, C.; Beer, L.; Weir-Mccall, J. R.; Teng, Z.; Gkrania-Klotsas, E.; Ruggiero, A.; Korhonen, A.; Jefferson, E.; Ako, E.; Langs, G.; Gozaliasl, G.; Yang, G.; Prosch, H.; Preller, J.; Stanczuk, J.; Tang, J.; Hofmanninger, J.; Babar, J.; Sanchez, L. E.; Thillai, M.; Gonzalez, P. M.; Teare, P.; Zhu, X.; Patel, M.; Cafolla, C.; Azadbakht, H.; Jacob, J.; Lowe, J.; Zhang, K.; Bradley, K.; Wassin, M.; Holzer, M.; Ji, K.; Ortet, M. D.; Ai, T.; Walton, N.; Lio, P.; Stranks, S.; Shadbahr, T.; Lin, W.; Zha, Y.; Niu, Z.; Rudd, J. H. F.; Sala, E.; Schonlieb, C. -B. - 01a Articolo in rivista
rivista: NATURE MACHINE INTELLIGENCE (London: Nature Research, 2019-) pp. 199-217 - issn: 2522-5839 - wos: WOS:000630122800002 (541) - scopus: 2-s2.0-85103287918 (654)

11573/1720243 - 2021 - Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit
Rocheteau, E.; Lio, P.; Hyland, S. - 04b Atto di convegno in volume
congresso: 2021 ACM Conference on Health, Inference, and Learning, CHIL 2021 (Virtual Event USA April 8 - 10, 2021)
libro: CHIL '21: Proceedings of the Conference on Health, Inference, and Learning - (9781450383592)

11573/1723816 - 2021 - A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination
Scata, M.; Di Stefano, A.; La Corte, A.; Lio, P. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (New York: NY IEEE 2015- IEEE Communications Society, IEEE Signal Processing Society, IEEE Computer Society) pp. 581-593 - issn: 2332-7731 - wos: WOS:000659548800019 (6) - scopus: 2-s2.0-85091937279 (6)

11573/1720271 - 2021 - Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network
Sebenius, I.; Campbell, A.; Morgan, S. E.; Bullmore, E. T.; Lio, P. - 04b Atto di convegno in volume
congresso: 31st IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2021 (Gold Coast, Australia)
libro: IEEE International Workshop on Machine Learning for Signal Processing, MLSP - ()

11573/1724042 - 2021 - Analysis of single-cell RNA sequencing data based on autoencoders
Tangherloni, A.; Ricciuti, F.; Besozzi, D.; Lio, P.; Cvejic, A. - 01a Articolo in rivista
rivista: BMC BIOINFORMATICS ([London]: BioMed Central, [2000]-) pp. - - issn: 1471-2105 - wos: WOS:000662730800001 (11) - scopus: 2-s2.0-85107564551 (14)

11573/1724054 - 2021 - How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
Van Der Schaar, M.; Alaa, A. M.; Floto, A.; Gimson, A.; Scholtes, S.; Wood, A.; Mckinney, E.; Jarrett, D.; Lio, P.; Ercole, A. - 01a Articolo in rivista
rivista: MACHINE LEARNING (Springer Nature Hingham, MA: Kluwer Academic Publishers) pp. 1-14 - issn: 0885-6125 - wos: WOS:000597727000001 (79) - scopus: 2-s2.0-85097435934 (121)

11573/1724056 - 2021 - Deep Learning Enables Fast and Accurate Imputation of Gene Expression
Vinas, R.; Azevedo, T.; Gamazon, E. R.; Lio, P. - 01a Articolo in rivista
rivista: FRONTIERS IN GENETICS (Lausanne : Frontiers Research Foundation, 2010-) pp. - - issn: 1664-8021 - wos: WOS:000644482700001 (11) - scopus: 2-s2.0-85104975602 (14)

11573/1723932 - 2021 - Teaching sustainability as complex systems approach: a sustainable development goals workshop
Weber, J. M.; Lindenmeyer, C. P.; Lio, P.; Lapkin, A. A. - 01a Articolo in rivista
rivista: INTERNATIONAL JOURNAL OF SUSTAINABILITY IN HIGHER EDUCATION (-Bingley : Emerald -Bradford (60/62 Toller Lane, Bradford, West Yorkshire BD8 9BY) : MCB University Press, 2000-) pp. 25-41 - issn: 1467-6370 - wos: WOS:000631522200002 (20) - scopus: 2-s2.0-85102862707 (25)

11573/1720266 - 2021 - How Framelets Enhance Graph Neural Networks
Zheng, X.; Zhou, B.; Gao, J.; Wang, Y. G.; Lio, P.; Li, M.; Montufar, G. - 04b Atto di convegno in volume
congresso: International Conference on Machine Learning (Virtual, Online)
libro: Proceedings of Machine Learning Research - ()

11573/1720032 - 2021 - Arbitrary Scale Super-Resolution for Medical Images
Zhu, J.; Tan, C.; Yang, J.; Yang, G.; Lio, P. - 01a Articolo in rivista
rivista: INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (World Scientific Publishing Company:PO Box 128, Farrer Road, Singapore 912805 Singapore:011 65 6 4665775, EMAIL: journal@wspc.com.sg, INTERNET: http://www.wspc.com.sg, http://www.worldscinet.com, Fax: 011 65 6 4677667) pp. - - issn: 0129-0657 - wos: WOS:000696596800001 (25) - scopus: 2-s2.0-85111242960 (34)

11573/1720241 - 2021 - An Effective Loss Function for Generating 3D Models from Single 2D Image Without Rendering
Zubic, N.; Lio, P. - 04b Atto di convegno in volume
congresso: 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021 (Virtual, Online)
libro: Artificial Intelligence Applications and Innovations - ()

11573/1719729 - 2020 - A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients
Ahamad, M. M.; Aktar, S.; Rashed-Al-Mahfuz, M.; Uddin, S.; Lio, P.; Xu, H.; Summers, M. A.; Quinn, J. M. W.; Moni, M. A. - 01a Articolo in rivista
rivista: EXPERT SYSTEMS WITH APPLICATIONS (Oxford, United Kingdom: Elsevier Science Limited) pp. - - issn: 0957-4174 - wos: WOS:000573453200003 (96) - scopus: 2-s2.0-85086999054 (129)

11573/1721114 - 2020 - A deep spatiotemporal graph learning architecture for brain connectivity analysis
Azevedo, T.; Passamonti, L.; Lio, P.; Toschi, N. - 04b Atto di convegno in volume
congresso: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 (Montreal; can)
libro: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - ()

11573/1719686 - 2020 - Unsupervised generative and graph representation learning for modelling cell differentiation
Bica, I.; Andres-Terre, H.; Cvejic, A.; Lio, P. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000543956500030 (8) - scopus: 2-s2.0-85086576160 (10)

11573/1719911 - 2020 - Proximal distilled evolutionary reinforcement learning
Bodnar, C.; Day, B.; Lio, P. - 04b Atto di convegno in volume
congresso: AAAI Conference on Artificial Intelligence (Hilton New York Midtown, usa)
libro: AAAI 2020 - 34th AAAI Conference on Artificial Intelligence - (9781577358350)

11573/1719700 - 2020 - XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification
Cangea, C.; Velickovic, P.; Lio, P. - 01a Articolo in rivista
rivista: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (Piscataway, NJ : Institute of Electrical and Electronics Engineeers) pp. 3711-3720 - issn: 2162-237X - wos: WOS:000566342500044 (13) - scopus: 2-s2.0-85087329154 (17)

11573/1719913 - 2020 - Principal neighbourhood aggregation for graph nets
Corso, G.; Cavalleri, L.; Beaini, D.; Lio, P.; Velickovic, P. - 04b Atto di convegno in volume
congresso: Advances in Neural Information Processing Systems (was NIPS) (Virtual; Online)
libro: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020)) - (9781713829546)

11573/1720272 - 2020 - NeoHiC: A web application for the analysis of Hi-C data
D'agostino, D.; Lio, P.; Aldinucci, M.; Merelli, I. - 04b Atto di convegno in volume
congresso: 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019 (Bergamo; ita)
libro: Computational Intelligence Methods for Bioinformatics and Biostatistics - ()

11573/1719728 - 2020 - Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation
Deasy, J.; Lio, P.; Ercole, A. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000603252200023 (20) - scopus: 2-s2.0-85097671464 (23)

11573/1721102 - 2020 - Constraining variational inference with geometric Jensen-Shannon divergence
Deasy, J.; Simidjievski, N.; Lio, P. - 04b Atto di convegno in volume
congresso: 34th Conference on Neural Information Processing Systems, NeurIPS 2020 (Virtual, Online)
libro: Advances in Neural Information Processing Systems - ()

11573/1720016 - 2020 - Resolution of Blockchain Conflicts through Heuristics-based Game Theory and Multilayer Network Modeling
Di Stefano, A.; Maesa, D. D. F.; Das, S. K.; Lio, P. - 04b Atto di convegno in volume
congresso: 21st International Conference on Distributed Computing and Networking, ICDCN 2020 (Kolkata; ind)
libro: ICDCN '20: Proceedings of the 21st International Conference on Distributed Computing and Networking - (9781450377515)

11573/1719730 - 2020 - A Novel Methodology for designing Policies in Mobile Crowdsensing Systems
Di Stefano, A.; Scata, M.; Attanasio, B.; La Corte, A.; Lio, P.; Das, S. K. - 01a Articolo in rivista
rivista: PERVASIVE AND MOBILE COMPUTING (Elsevier) pp. - - issn: 1574-1192 - wos: (0) - scopus: 2-s2.0-85089278209 (7)

11573/1721103 - 2020 - Introducing brain-heart crosstalks information in clinical decision support systems for TBI patients, through ICM+
Dimitri, G. M.; Beqiri, E.; Placek, M. M.; Czosnyka, M.; Ercole, A.; Smielewski, P.; Lio, P. - 04b Atto di convegno in volume
congresso: 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 (Virtual, Online)
libro: 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) - ()

11573/1720022 - 2020 - Unsupervised stratification in neuroimaging through deep latent embeddings
Dimitri, G. M.; Spasov, S.; Duggento, A.; Passamonti, L.; Lio, P.; Toschi, N. - 04b Atto di convegno in volume
congresso: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 (Montreal; can)
libro: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - (9781728119908)

11573/1719914 - 2020 - A novel Graph Attention Network Architecture for modeling multimodal brain connectivity
Filip, A. -C.; Azevedo, T.; Passamonti, L.; Toschi, N.; Lio, P. - 04b Atto di convegno in volume
congresso: 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 (Montreal; Canada)
libro: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS - ()

11573/1719679 - 2020 - Horizontal gene transfer and silver nanoparticles production in a new Marinomonas strain isolated from the Antarctic psychrophilic ciliate Euplotes focardii
John, M. S.; Nagoth, J. A.; Ramasamy, K. P.; Ballarini, P.; Mozzicafreddo, M.; Mancini, A.; Telatin, A.; Lio, P.; Giuli, G.; Natalello, A.; Miceli, C.; Pucciarelli, S. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000543994900055 (23) - scopus: 2-s2.0-85086784668 (26)

11573/1720250 - 2020 - Now you see me (CME): Concept-based model extraction
Kazhdan, D.; Dimanov, B.; Jamnik, M.; Lio, P.; Weller, A. - 04b Atto di convegno in volume
congresso: 2020 International Conference on Information and Knowledge Management Workshops, CIKMW 2020 (Galway; irl)
libro: CIKMW2020 Proceeding of the CIKM 2020 Workshops - ()

11573/1721108 - 2020 - MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library
Kazhdan, D.; Shams, Z.; Lio, P. - 04b Atto di convegno in volume
congresso: 2020 International Joint Conference on Neural Networks, IJCNN 2020 (Virtual, Glasgow)
libro: 2020 International Joint Conference on Neural Networks (IJCNN) - (9781728169262)

11573/1721119 - 2020 - Neural Models for Brain Networks Connectivity Analysis
Kusztos, R.; Dimitri, G. M.; Lio, P. - 04b Atto di convegno in volume
congresso: 15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018 (Caparica; prt)
libro: Computational Intelligence Methods for Bioinformatics and Biostatistics - (9783030345846)

11573/1719699 - 2020 - Privacy-preserving asynchronous federated learning mechanism for edge network computing
Lu, X.; Liao, Y.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: IEEE ACCESS (Piscataway NJ: Institute of Electrical and Electronics Engineers) pp. 48970-48981 - issn: 2169-3536 - wos: WOS:000524728000009 (87) - scopus: 2-s2.0-85082165685 (114)

11573/1719731 - 2020 - An Asynchronous Federated Learning Mechanism for Edge Network Computing
Lu, X.; Liao, Y.; Lio, P.; Pan, H. - 01a Articolo in rivista
rivista: JISUANJI YANJIU YU FAZHAN (Beijing: Kexue Chubanshe, 1982-) pp. 2571-2582 - issn: 1000-1239 - wos: (0) - scopus: 2-s2.0-85097825925 (18)

11573/1719703 - 2020 - DADIM: A distance adjustment dynamic influence map model
Lu, X.; Wang, X.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: FUTURE GENERATION COMPUTER SYSTEMS (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. 1122-1130 - issn: 0167-739X - wos: WOS:000567829300004 (2) - scopus: 2-s2.0-85088021689 (2)

11573/1719684 - 2020 - Continuous authentication by free-text keystroke based on CNN and RNN
Lu, X.; Zhang, S.; Hui, P.; Lio, P. - 01a Articolo in rivista
rivista: COMPUTERS & SECURITY (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0167-4048 - wos: WOS:000564606700006 (31) - scopus: 2-s2.0-85085559352 (47)

11573/1719704 - 2020 - Domain-oriented topic discovery based on features extraction and topic clustering
Lu, X.; Zhou, X.; Wang, W.; Lio, P.; Hui, P. - 01a Articolo in rivista
rivista: IEEE ACCESS (Piscataway NJ: Institute of Electrical and Electronics Engineers) pp. 93648-93662 - issn: 2169-3536 - wos: WOS:000541121800054 (6) - scopus: 2-s2.0-85085966620 (8)

11573/1720025 - 2020 - Path integral based convolution and pooling for graph neural networks
Ma, Z.; Xuan, J.; Wang, Y. G.; Li, M.; Lio, P. - 04b Atto di convegno in volume
congresso: 34th Conference on Neural Information Processing Systems, NeurIPS 2020 (Virtual, Online)
libro: Advances in Neural Information Processing Systems - ()

11573/1728556 - 2020 - Latest advances in parallel, distributed, and network-based processing
Merelli, I.; Lio, P.; Kotenko, I.; D'agostino, D. - 01m Editorial/Introduzione in rivista
rivista: CONCURRENCY AND COMPUTATION (Bognor Regis, United Kingdom: John Wiley & Sons Limited) pp. - - issn: 1532-0626 - wos: WOS:000512545000001 (1) - scopus: 2-s2.0-85079398058 (1)

11573/1719732 - 2020 - PECLIDES Neuro: A Personalisable Clinical Decision Support System for Neurological Diseases
Muller, T. T.; Lio, P. - 01a Articolo in rivista
rivista: FRONTIERS IN ARTIFICIAL INTELLIGENCE ([Lausanne]: Frontiers Media S.A., [2018]-) pp. - - issn: 2624-8212 - wos: WOS:000751673300023 (6) - scopus: 2-s2.0-85095351705 (7)

11573/1721099 - 2020 - On second order behaviour in augmented neural ODEs
Norcliffe, A.; Bodnar, C.; Day, B.; Simidjievski, N.; Lio, P. - 04b Atto di convegno in volume
congresso: Advances in Neural Information Processing Systems (was NIPS) (Vancouver; Canada)
libro: Proceedings of the 34th Conference on Neural Information Processing Systems, NeurIPS 2020 - (9781713829546)

11573/1719701 - 2020 - ChronoMID—Cross-modal neural networks for 3-D temporal medical imaging data
Rakowski, A. G.; Velickovic, P.; Dall'ara, E.; Lio, P. - 01a Articolo in rivista
rivista: PLOS ONE (San Francisco, CA : Public Library of Science) pp. - - issn: 1932-6203 - wos: WOS:000535227900037 (0) - scopus: 2-s2.0-85079600277 (0)

11573/1719681 - 2020 - Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression
Rana, H. K.; Akhtar, M. R.; Islam, M. B.; Ahmed, M. B.; Lio, P.; Huq, F.; Quinn, J. M. W.; Moni, M. A. - 01a Articolo in rivista
rivista: SCIENTIFIC REPORTS (London: Springer Nature London: Nature Publishing Group) pp. - - issn: 2045-2322 - wos: WOS:000563055800004 (15) - scopus: 2-s2.0-85079593686 (23)

11573/1719680 - 2020 - Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia
Rollins, C. P. E.; Garrison, J. R.; Arribas, M.; Seyedsalehi, A.; Li, Z.; Chan, R. C. K.; Yang, J.; Wang, D.; Lio, P.; Yan, C.; Yi, Z. -H.; Cachia, A.; Upthegrove, R.; Deakin, B.; Simons, J. S.; Murray, G. K.; Suckling, J. - 01a Articolo in rivista
rivista: TRANSLATIONAL PSYCHIATRY (New York, NY : Nature Pub. Group-Springer Nature) pp. - - issn: 2158-3188 - wos: WOS:000591309300008 (16) - scopus: 2-s2.0-85095707586 (18)

11573/1720013 - 2020 - Dynamic neural network channel execution for efficient training
Spasov, S. E.; Lio, P. - 04b Atto di convegno in volume
congresso: 30th British Machine Vision Conference, BMVC 2019 (Cardiff; gbr)
libro: 30th British Machine Vision Conference 2019, BMVC 2019 - ()

11573/1720036 - 2020 - Arbitrary scale super-resolution for brain MRI images
Tan, C.; Zhu, J.; Lio, P. - 04b Atto di convegno in volume
congresso: 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020 (Neos Marmaras; grc)
libro: Artificial Intelligence Applications and Innovations - ()

11573/1721097 - 2020 - Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Wang, D.; Jamnik, M.; Lio, P. - 04b Atto di convegno in volume
congresso: 8th International Conference on Learning Representations, ICLR 2020 (Addis Ababa)
libro: 8th International Conference on Learning Representations, ICLR 2020 - ()

11573/1720029 - 2020 - Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020)
Yeghikyan, G.; Opolka, F. L.; Nanni, M.; Lepri, B.; Lio, P. - 04b Atto di convegno in volume
congresso: 6th IEEE International Conference on Smart Computing, SMARTCOMP 2020 (Virtual, Bologna)
libro: 2020 IEEE International Conference on Smart Computing (SMARTCOMP) - (9781728169972)

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma