| 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 | 55 | 2015 |
| 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), 1-17, 2014 | 53 | 2014 |
| 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 | 50 | 2013 |
| Semi-supervised multi-view learning for gene network reconstruction M Ceci, G Pio, V Kuzmanovski, S Džeroski PloS one 10 (12), e0144031, 2015 | 42 | 2015 |
| 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 (9), 1-18, 2015 | 42 | 2015 |
| Multi-type clustering and classification from heterogeneous networks G Pio, F Serafino, D Malerba, M Ceci Information sciences 425, 107-126, 2018 | 31 | 2018 |
| DENCAST: Distributed density-based clustering for multi-target regression R Corizzo, G Pio, M Ceci, D Malerba Journal of Big Data 6 (1), 1-27, 2019 | 22 | 2019 |
| 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 | 21 | 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 | 17 | 2018 |
| 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), 1-24, 2020 | 15 | 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 | 13 | 2020 |
| Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. G Pio, M Ceci, C Loglisci, D D'Elia, D Malerba ECAI, 654-659, 2012 | 11 | 2012 |
| Positive unlabeled link prediction via transfer learning for gene network reconstruction P Mignone, G Pio International Symposium on Methodologies for Intelligent Systems, 13-23, 2018 | 8 | 2018 |
| 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 | 7 | 2020 |
| Discovering novelty patterns from the ancient christian inscriptions of rome G Pio, F Fumarola, AE Felle, D Malerba, M Ceci Journal on Computing and Cultural Heritage (JOCCH) 7 (4), 1-21, 2014 | 7 | 2014 |
| Identifying lncRNA-disease relationships via heterogeneous clustering EP Barracchia, G Pio, D Malerba, M Ceci International Workshop on New Frontiers in Mining Complex Patterns, 35-48, 2017 | 5 | 2017 |
| Hierarchical multidimensional classification of web documents with multiwebclass F Serafino, G Pio, M Ceci, D Malerba International Conference on Discovery Science, 236-250, 2015 | 5 | 2015 |
| A novel biclustering algorithm for the discovery of meaningful biological correlations between mirnas and mrnas G Pio, M Ceci, D D'Elia, C Loglisci, D Malerba EMBnet. journal 18 (A), 43-44, 2012 | 5 | 2012 |
| Mining temporal evolution of entities in a stream of textual documents G Pio, PF Lanotte, M Ceci, D Malerba International Symposium on Methodologies for Intelligent Systems, 50-60, 2014 | 4 | 2014 |
| 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, 277, 2021 | 3 | 2021 |
Michelangelo CeciUniversity of Bari "A. Moro"Verified email at di.uniba.it
