| Non-negative matrix tri-factorization for co-clustering: an analysis of the block matrix N Del Buono, G Pio Information Sciences 301, 13-26, 2015 | 71 | 2015 |
| On the exploitation of the blockchain technology in the healthcare sector: A systematic review V Merlo, G Pio, F Giusto, M Bilancia Expert Systems with Applications 213, 118897, 2023 | 69 | 2023 |
| Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions I Moreno-Indias, L Lahti, M Nedyalkova, I Elbere, G Roshchupkin, ... Frontiers in microbiology 12, 635781, 2021 | 69 | 2021 |
| Exploiting transfer learning for the reconstruction of the human gene regulatory network P Mignone, G Pio, D D’Elia, M Ceci Bioinformatics 36 (5), 1553-1561, 2020 | 63 | 2020 |
| A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes G Pio, M Ceci, D D'Elia, C Loglisci, D Malerba BMC Bioinformatics 14 (Suppl 7), S8, 2013 | 63 | 2013 |
| Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach G Pio, D Malerba, D D'Elia, M Ceci BMC bioinformatics 15, 1-17, 2014 | 59 | 2014 |
| ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks G Pio, M Ceci, D Malerba, D D'Elia BMC bioinformatics 16, 1-18, 2015 | 56 | 2015 |
| DENCAST: distributed density-based clustering for multi-target regression R Corizzo, G Pio, M Ceci, D Malerba Journal of Big Data 6 (1), 43, 2019 | 53 | 2019 |
| Multi-type clustering and classification from heterogeneous networks G Pio, F Serafino, D Malerba, M Ceci Information sciences 425, 107-126, 2018 | 52 | 2018 |
| Semi-supervised multi-view learning for gene network reconstruction M Ceci, G Pio, V Kuzmanovski, S Džeroski PloS one 10 (12), e0144031, 2015 | 52 | 2015 |
| Echad: embedding-based change detection from multivariate time series in smart grids M Ceci, R Corizzo, N Japkowicz, P Mignone, G Pio IEEE Access 8, 156053-156066, 2020 | 44 | 2020 |
| Exploiting causality in gene network reconstruction based on graph embedding G Pio, M Ceci, F Prisciandaro, D Malerba Machine Learning 109 (6), 1231-1279, 2020 | 36 | 2020 |
| Ensemble learning for multi-type classification in heterogeneous networks F Serafino, G Pio, M Ceci IEEE Transactions on Knowledge and Data Engineering 30 (12), 2326-2339, 2018 | 36 | 2018 |
| Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction G Pio, P Mignone, G Magazzù, G Zampieri, M Ceci, C Angione Bioinformatics 38 (2), 487-493, 2022 | 34 | 2022 |
| Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks P Mignone, G Pio, S Džeroski, M Ceci Scientific reports 10 (1), 22295, 2020 | 34 | 2020 |
| Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering EP Barracchia, G Pio, D D’Elia, M Ceci BMC bioinformatics 21 (1), 70, 2020 | 32 | 2020 |
| PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments G De Martino, G Pio, M Ceci Artificial Intelligence and Law 30 (3), 359-390, 2022 | 23 | 2022 |
| Hierarchical and overlapping co-clustering of mrna: mirna interactions G Pio, M Ceci, C Loglisci, D D'Elia, D Malerba ECAI 2012, 654-659, 2012 | 19 | 2012 |
| Lp-robin: link prediction in dynamic networks exploiting incremental node embedding EP Barracchia, G Pio, A Bifet, HM Gomes, B Pfahringer, M Ceci Information Sciences 606, 702-721, 2022 | 18 | 2022 |
| Spatially-aware autoencoders for detecting contextual anomalies in geo-distributed data R Corizzo, M Ceci, G Pio, P Mignone, N Japkowicz International conference on discovery science, 461-471, 2021 | 18 | 2021 |
Michelangelo CeciUniversity of Bari "A. Moro"di.uniba.it의 이메일 확인됨