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

11573/1721245 - 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 (3) - scopus: 2-s2.0-85185905615 (4)

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 (14)

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 (12) - scopus: 2-s2.0-85130482943 (13)

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)

11573/1721277 - 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 (15) - scopus: 2-s2.0-85141927580 (35)

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 - ()

11573/1697629 - 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: Advances in Neural Information Processing Systems (was NIPS) - ()

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 (19) - scopus: 2-s2.0-85170552135 (31)

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 (17) - scopus: 2-s2.0-85149840930 (30)

11573/1719875 - 2023 - 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. - - issn: 1930-8337 - wos: WOS:001104104900001 (0) - scopus: 2-s2.0-85177192247 (1)

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 (24) - scopus: 2-s2.0-85178660706 (22)

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 (11) - scopus: 2-s2.0-85186503001 (13)

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)

11573/1719139 - 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 (3)

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: 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Virtual, Online)

libro: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 - (9781577358763)

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 (14) - scopus: 2-s2.0-85125465797 (16)

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 (26) - scopus: 2-s2.0-85129950097 (34)

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 (37) - scopus: 2-s2.0-85121757777 (41)

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

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 (30) - scopus: 2-s2.0-85131801539 (34)

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 (54) - scopus: 2-s2.0-85124598976 (62)

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)

11573/1721220 - 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)

11573/1721272 - 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 (8) - scopus: 2-s2.0-85139231644 (10)

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 - ()

11573/1721235 - 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 (19) - scopus: 2-s2.0-85132576741 (22)

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 (16) - scopus: 2-s2.0-85123595055 (18)

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 (3) - scopus: 2-s2.0-85120948822 (5)

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 (16) - scopus: 2-s2.0-85116047083 (27)

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: 38th International Conference on Machine Learning, ICML 2021 (Virtual, Online)

libro: Proceedings of Machine Learning Research - (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)

11573/1721061 - 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 - ()

11573/1720269 - 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: 35th Conference on Neural Information Processing Systems, NeurIPS 2021 (virtual)

libro: Advances in Neural Information Processing Systems - ()

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 (70) - scopus: 2-s2.0-85112098113 (112)

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)

11573/1720270 - 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 (4) - scopus: 2-s2.0-85121715978 (0)

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 - ()

11573/1721190 - 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 (520) - scopus: 2-s2.0-85103287918 (628)

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)

11573/1720271 - 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 - ()

11573/1720266 - 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 (23) - scopus: 2-s2.0-85111242960 (33)

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: 34th AAAI Conference on Artificial Intelligence, AAAI 2020 (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 (15)

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: 34th Conference on Neural Information Processing Systems, NeurIPS 2020 (Virtual, Online)

libro: Advances in Neural Information Processing Systems - (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 (22)

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 (25)

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 (83) - scopus: 2-s2.0-85082165685 (110)

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: IEEE ACCESS (Piscataway NJ: Institute of Electrical and Electronics Engineers) pp. 2571-2582 - issn: 2169-3536 - wos: (0) - scopus: 2-s2.0-85097825925 (16)

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 (29) - scopus: 2-s2.0-85085559352 (45)

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 - ()

11573/1719732 - 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 (5) - scopus: 2-s2.0-85095351705 (6)

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: 34th Conference on Neural Information Processing Systems, NeurIPS 2020 (Virtual, Online)

libro: Advances in Neural Information Processing Systems - ()

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 (17)

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)