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 Interests

Data 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

Publications


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, 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
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
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
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


2022
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. Big Data: 5536-5541 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020270
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:
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
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
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. SEBD: 351-358 (2022)
DOI: http://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
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
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: http://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: http://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: http://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
Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 30(12): 2326-2339 (2018)
DOI: https://doi.org/10.1109/TKDE.2018.2822307
Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-type Classification in Heterogeneous Networks. SEBD (2018)
DOI: http://ceur-ws.org/Vol-2161/paper32.pdf
Paolo Mignone, Gianvito Pio:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. ISMIS: 13-23 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_2
Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci:
Multi-type clustering and classification from heterogeneous networks. Inf. Sci. 425: 107-126 (2018)
DOI: https://doi.org/10.1016/j.ins.2017.10.021


2017
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Forecasting via Distributed Density-Based Clustering. SEBD: 57 (2017)
DOI: http://ceur-ws.org/Vol-2037/paper_10.pdf
Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML: 35-48 (2017)
DOI: https://doi.org/10.1007/978-3-319-78680-3_3
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS: 283-297 (2017)
DOI: https://doi.org/10.1007/978-3-319-67786-6_20


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
Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia:
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinformatics 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
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


2014
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 Bioinformatics 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, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. JOCCH 7(4): 22:1-22:21 (2014)
DOI: https://doi.org/10.1145/2629513
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
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 Bioinformatics 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
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:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD: 445-452 (2013)


2012
Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI: 654-659 (2012)
DOI: https://doi.org/10.3233/978-1-61499-098-7-654
Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Criminal Behaviors. SEBD: 221-232 (2012)
DOI: http://sebd2012.dei.unipd.it/documents/188475/f6772192-bc96-4104-b22c-ee9a13c850f3