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
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


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, 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:
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, 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
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
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

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