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Gianvito Pio is an Assistant Professor at the Dept. of Computer Science, University of Bari (Italy). He has published 17 papers in journals, books and conference proceedings, including 7 papers in journals, such as BMC Bioinformatics, PloS ONE, Information Sciences, the Journal on Computing and Cultural Heritage and the International Journal of Computational Intelligence Systems. He has participated in the scientific committee of international conferences and served as a reviewer in a wide range of international conferences and journals. His interests include bioinformatics, multi-type clustering and classification on heterogeneous networks. Research InterestsData Mining and Knowledge Discovery, Bioinformatics, Social Network Analysis, Clustering/Co-Clustering and Multi-relational Data Mining. |
 Gianvito Pio
PhD, Assistant Professor
(tenure)Phone: +39 080 5442203
em@il: gianvito.pio @ uniba.it
webpage: http://www.di.uniba.it/~gianvitopio
 
  
Publications Legend| Journal Articles | | | Book | | | Conference or Workshop | | | Editorship | | | Collection | | | Other | |
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Publications
2024
| Annunziata D'Aversa, Gianvito Pio:
Nowcasting of the energy production of wind power plants through spatially-aware model trees. SEBD: 195-204 (2024)
DOI: https://ceur-ws.org/Vol-3741/paper30.pdf | | Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. Big Data Res. 37: 100456 (2024)
DOI: https://doi.org/10.1016/j.bdr.2024.100456 | | Daniele Rosa, Antonio Pellicani, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. ISMIS: 77-86 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_8 | | Stefano Polimena, Gianvito Pio, Giovanni Attolico, Michelangelo Ceci:
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. ISMIS: 3-13 (2024)
DOI: https://doi.org/10.1007/978-3-031-62700-2_1 | | Andrea Simeon, Milos Radovanovic, Tatjana Loncar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio:
Multi-class boosting for the analysis of multiple incomplete views on microbiome data. BMC Bioinform. 25(1): 188 (2024)
DOI: https://doi.org/10.1186/s12859-024-05767-w |
2023
| Massimo Bilancia, Michele Di Nanni, Fabio Manca, Gianvito Pio:
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering. Comput. Stat. 38(4): 2015-2051 (2023)
DOI: https://doi.org/10.1007/s00180-023-01350-8 | | Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci:
HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) 26(5): 3409-3439 (2023)
DOI: https://doi.org/10.1007/s11280-023-01192-w | | Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci:
SAIRUS: Spatially-aware identification of risky users in social networks. Inf. Fusion 92: 435-449 (2023)
DOI: https://doi.org/10.1016/j.inffus.2022.11.029 | | Antonio Pellicani, Gianvito Pio, Michelangelo Ceci:
A Multi-Perspective Approach for Risky User Identification in Social Networks. SEBD: 665-673 (2023)
DOI: https://ceur-ws.org/Vol-3478/paper32.pdf | | Serena De Ruvo, Gianvito Pio, Gennaro Vessio, Vincenzo Volpe:
Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. Medical Biol. Eng. Comput. 61(8): 2051-2066 (2023)
DOI: https://doi.org/10.1007/s11517-023-02831-0 | | Valeria Merlo, Gianvito Pio, Francesco Giusto, Massimo Bilancia:
On the exploitation of the blockchain technology in the healthcare sector: A systematic review. Expert Syst. Appl. 213: 118897 (2023)
DOI: https://doi.org/10.1016/j.eswa.2022.118897 | | Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
Multi-view overlapping clustering for the identification of the subject matter of legal judgments. Inf. Sci. 638: 118956 (2023)
DOI: https://doi.org/10.1016/j.ins.2023.118956 |
2022
| Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci:
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606: 702-721 (2022)
DOI: https://doi.org/10.1016/j.ins.2022.05.079 | | Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. IEEE Big Data: 5536-5541 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020270 | | Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. SEBD: 351-358 (2022)
DOI: https://ceur-ws.org/Vol-3194/paper42.pdf | | Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski:
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251: 109254 (2022)
DOI: https://doi.org/10.1016/j.knosys.2022.109254 | | Annunziata D'Aversa, Stefano Polimena, Gianvito Pio, Michelangelo Ceci:
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. DS: 141-156 (2022)
DOI: https://doi.org/10.1007/978-3-031-18840-4_11 | | Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments. Artif. Intell. Law 30(3): 359-390 (2022)
DOI: https://doi.org/10.1007/s10506-021-09297-1 | | Graziella De Martino, Gianvito Pio:
Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding. ISMIS: 74-84 (2022)
DOI: https://doi.org/10.1007/978-3-031-16564-1_8 | | Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione:
Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. Bioinform. 38(2): 487-493 (2022)
DOI: https://doi.org/10.1093/bioinformatics/btab647 |
2021
| Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci:
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. Data Min. Knowl. Discov. 35(6): 2542-2576 (2021)
DOI: https://doi.org/10.1007/s10618-021-00787-z | | Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper). SEBD: 379-386 (2021)
DOI: https://ceur-ws.org/Vol-2994/paper42.pdf | | Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz:
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS: 461-471 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_36 |
2020
| Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio:
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access 8: 156053-156 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.3019095 | | Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Prediction of New Associations between ncRNAs and Diseases Exploiting Multi-Type Hierarchical Clustering. SEBD: 160-167 (2020)
DOI: https://ceur-ws.org/Vol-2646/37-paper.pdf | | Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. 109(6): 1231-1279 (2020)
DOI: https://doi.org/10.1007/s10994-019-05861-8 | | Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering. BMC Bioinform. 21(1): 70 (2020)
DOI: https://doi.org/10.1186/s12859-020-3392-2 | | Paolo Mignone, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting transfer learning for the reconstruction of the human gene regulatory network. Bioinform. 36(5): 1553-1561 (2020)
DOI: https://doi.org/10.1093/bioinformatics/btz781 |
2019
| Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). SEBD (2019)
DOI: https://ceur-ws.org/Vol-2400/paper-06.pdf | | Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6: 43 (2019)
DOI: https://doi.org/10.1186/s40537-019-0207-2 |
2018
2017
2016
| Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Multi-Type Classification from Heterogeneous Networks. SEBD: 102-109 (2016) | | Michelangelo Ceci, Gianvito Pio, Vladimir Kuzmanovski, Saso Dzeroski:
Semi-Supervised Multi-View Learning for Gene Network Reconstruction. SEBD: 198-205 (2016) |
2015
| Nicoletta Del Buono, Gianvito Pio:
Non-negative Matrix Tri-Factorization for co-clustering: An analysis of the block matrix. Inf. Sci. 301: 13-26 (2015)
DOI: https://doi.org/10.1016/j.ins.2014.12.058 | | Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia:
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. 16: S7 (2015)
DOI: https://doi.org/10.1186/1471-2105-16-S9-S7 | | Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science: 236-250 (2015)
DOI: https://doi.org/10.1007/978-3-319-24282-8_20 |
2014
| Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. ACM Journal on Computing and Cultural Heritage 7(4): 22:1-22:21 (2014)
DOI: https://doi.org/10.1145/2629513 | | Gianvito Pio, Donato Malerba, Domenica D'Elia, Michelangelo Ceci:
Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinform. 15: S4 (2014)
DOI: https://doi.org/10.1186/1471-2105-15-S1-S4 | | Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3): 508-511 (2014)
DOI: https://doi.org/10.1007/978-3-662-44845-8_46 | | Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS: 50-60 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_6 | | Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD: 21-28 (2014) |
2013
| Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL: 29-40 (2013)
DOI: https://doi.org/10.1007/978-3-642-54347-0_4 | | Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. 14: S8 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-S7-S8 | | Piero Molino, Gianvito Pio, Corrado Mencar:
Fast Fuzzy Inference in Octave. Int. J. Comput. Intell. Syst. 6(2): 307-317 (2013)
DOI: https://doi.org/10.1080/18756891.2013.769765 | | Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD: 445-452 (2013) |
2012
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