Gianvito Pio's Home Page

Research Interests: Data Mining and Knowledge Discovery, Bioinformatics, Social Network Analysis, Clustering/Co-Clustering and Multi-relational Data Mining, Big Data Analytics.

Gianvito Pio Assistant Professor Room 525 - V floor Dept. of Computer Science University of Bari Aldo Moro Via Orabona, 4 - 70125 Bari - Italy +39 080 5442283

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Co-Founder of Sensitrust.io
Advisor of Callin.io

Publications

Courses

Software

Qualification

PhD in Computer Science from University of Bari, Italy, May 2015 (supervisor: Prof. Michelangelo Ceci).
Master degree (Laurea Magistrale) with full marks and honors in Computer Science from University of Bari, Italy, July 2011 (supervisors of laurea thesis: Prof. Michelangelo Ceci - Prof. Donato Malerba).
First level degree (Laurea Triennale) with full marks and honors in Computer Science from the University of Bari, Italy, October 2009 (supervisors of laurea thesis: Prof. Michelangelo Ceci - Prof. Donato Malerba).

Academic career

July 2019 - Now Assistant Professor at the Department of Computer Science, University of Bari
February 2015 - July 2019 Research fellow at the Department of Computer Science, University of Bari
February 2012 - May 2015 PhD student in Computer Science at the Department of Computer Science, University of Bari (supervisor: Prof. Michelangelo Ceci).

Activities

Member of the editorial board

Springer Machine Learning, ISSN: 1573-0565/0885-6125
Elsevier Expert Systems with Applications, ISSN: 1873-6793/0957-4174, Associate Editor
BMC Bioinformatics, ISSN: 1471-2105, Associate Editor
Springer Medical & Biological Engineering & Computing, ISSN: 1741-0444/0140-0118, Associate Editor
EMBnet.journal, ISSN: 2226-6089, Assistant Editor

Organizing Committee

9th International School on Deep Learning (DeepLearn 2023), 03-07 April 2023 - Bari, Italy
16th Italian Research Conference on Digital Libraries (IRCDL 2020), 30-31 January 2020 - Bari, Italy
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017) - Proceedings Chair, Skopje (Macedonia), September 18-22, 2017
3rd International Winter School on Big Data, Università degli Studi di Bari Aldo Moro, Bari (Italy), February 13-17, 2017
Discovery Science 2016, October 19-21, 2016 - Local Arrangement Chair, Bari, Italy

Program Committee

Artificial Intelligence and Knowledge Engineering (AIKE 2019, AIKE 2020, AIKE 2021)
AAAI Conference on Artificial Intelligence (AAAI 2018, AAAI 2020, AAAI 2021, AAAI 2022)
Business Information Systems (BIS 2016, BIS 2017)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016, ECML-PKDD 2017, ECML-PKDD 2018, ECML-PKDD 2019, ECML-PKDD 2020, ECML-PKDD 2021, ECML-PKDD 2022, ECML-PKDD 2023, ECML-PKDD 2024)
ECML-PKDD - New Frontiers in Mining Complex Patterns (NFMCP 2015, NFMCP 2016, NFMCP 2017, NFMCP 2018, NFMCP 2019, NFMCP 2020, NFMCP 2021, NFMCP 2022, NFMCP 2023, NFMCP 2024)
International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2015, COGNITIVE 2016)
International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2017)
International Conference on Data Analytics (Data Analytics 2018, Data Analytics 2019, Data Analytics 2020, Data Analytics 2021)
International Conference of Data Mining (ICDM 2017, ICDM 2018, ICDM 2019, ICDM 2020, ICDM 2021, ICDM 2022, ICDM 2023, ICDM 2024)
International Conference on Discovery Science (DS 2016, DS 2017, DS 2018, DS 2019, DS 2020, DS 2021, DS 2022, DS 2023, DS 2024)
International Conference on Information and Knowledge Management (CIKM 2018, CIKM 2019)
International Conference on Information Technologies for Epigraphy and Digital Cultural Heritage in the Ancient World (EAGLE 2014, EAGLE 2015, EAGLE 2016)
International Conference on Machine Learning and Data Mining (MLDM 2019)
International Joint Conference on Artificial Intelligence (IJCAI 2017, IJCAI 2018, IJCAI 2019, IJCAI 2020, IJCAI 2021, IJCAI 2022, IJCAI 2023, IJCAI 2024)
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR 2016, KDIR 2017)
International Symposium on Methodologies for Intelligent Systems (ISMIS 2018, ISMIS 2022, ISMIS 2024)

Conference Reviewing

AAAI Conference on Artificial Intelligence (AAAI 2015)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2014, SIGKDD 2015, SIGKDD 2016)
ADBIS - Mining Complex and Stream Data (MCSD 2012)
Advances in Computer Science and Engineering (ACSE 2012)
Business Information Systems (BIS 2012, BIS 2013, BIS 2014, BIS 2016, BIS 2017)
ECML-PKDD - New Frontiers in Mining Complex Patterns (NFMCP 2012)
European Conference on Artificial Intelligence (ECAI 2014)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012, ECML PKDD 2013, ECML PKDD 2014, ECML PKDD 2015, ECML PKDD 2016)
International Conference on Bioinformatics and Biomedicine (BIBM 2015)
International Conference on Data Analytics (Data Analytics 2014)
International Conference of Data Mining (ICDM 2011, ICDM 2012, ICDM 2014, ICDM 2015, ICDM 2016)
International Conference on Database and Expert Systems Applications (DEXA 2013, DEXA 2015, DEXA 2016, DEXA 2017)
International Conference on Data Mining (SDM 2012, SDM 2015, SDM 2018)
International Conference on Data Science and Advanced Analytics (DSAA 2016, DSAA 2017)
International Conference on Discovery Science (DS 2014)
International Conference on Formal Methods in Macro-Biology (FMMB 2014)
International Conference on Information and Knowledge Management (CIKM 2017)
International Conference on Information Technologies for Epigraphy and Digital Cultural Heritage in the Ancient World (EAGLE 2014)
International Conference on Machine Learning (ICML 2017)
International Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2016)
International Conference on Machine Learning and Data Mining (MLDM 2013, MLDM 2014, MLDM 2015, MLDM 2016, MLDM 2017)
International Conference on Web Intelligence (WI 2012, WI 2013, WI 2014, WI 2015, WI 2016, WI 2017)
International Joint Conference on Artificial Intelligence (IJCAI 2013, IJCAI 2015)
International Symposium on Methodologies for Intelligent Systems (ISMIS 2014)
International Symposium on Intelligent Data Analysis (IDA 2015)
International Workshop on Intelligent Systems and Applications (ISA 2013)
International Workshop Series on Network Tools and Applications for Biology (NETTAB 2016)
Italian Research Conference on Digital Libraries (IRCDL 2013)
Italian Symposium on Advanced Databases System (SEBD 2012, SEBD 2013)
Mining Ubiquitous and Social Environments (MSM-MUSE 2013)
Symposium On Applied Computing (SAC 2012, SAC 2013, SAC 2014, SAC 2015, SAC 2016)

Journal Reviewing

Agri GENE, ISSN: 2352-2151
Algorithms, ISSN: 1999-4893
Artificial Intelligence in Medicine, ISSN: 0933-3657
BMC Bioinformatics, ISSN: 1471-2105
Bioinformatics, ISSN: 1460-2059 / 1367-4803
Computational Biology and Chemistry, ISSN: 1476-9271
Computers, ISSN: 2073-431X
Computer Methods and Programs in Biomedicine, ISSN: 0169-2607
Data Mining and Knowledge Discovery, ISSN: 1384-5810 / 1573-756X
Energies, ISSN: 1996-1073
Expert Systems with Applications, ISSN: 0957-4174
IEEE Access, ISSN: 2169-3536
IEEE Transactions on Computational Biology and Bioinformatics, ISSN 1545-5963
IEEE Transactions on NanoBioscience, ISSN: 1536-1241
Information Sciences, ISSN: 0020-0255
International Journal of Bioinformatics Research and Applications, ISSN: 1744-5493 / 1744-5485
International Journal of Data Analysis Techniques and Strategies, ISSN: 1755-8069 / 1755-8050
International Journal of Intelligent Information and Database Systems, ISSN: 1751-5866 / 1751-5858
International Journal of Distributed Sensor Networks, ISSN: 1550-1329 / 1550-1477
International Journal of Metadata, Semantics and Ontologies, ISSN: 1744-263X / 1744-2621
International Journal of Molecular Sciences, ISSN: 1422-0067 / 1661-6596
ISPRS International Journal of Geo-Information, ISSN 2220-9964
Journal of the American Statistical Association, ISSN: 0162-1459 / 1537-274X
Journal of Biomedical and Health Informatics, ISSN: 2168-2194
Journal of Computer and System Sciences, ISSN: 0022-0000
Journal of Intelligent Information Systems, ISSN: 0925-9902 / 1573-7675
Machine Learning Journal, ISSN: 0885-6125 / 1573-0565
Mathematical and Computational Applications, ISSN:2297-8747 / ISSN 1300-686X
Nucleic Acid Research, ISSN: 1362-4962 / 0305-1048
PLOS One, ISSN: 1932-6203
Remote Sensing, ISSN: 2072-4292

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Publications

International Journals

A. Simeon, M. Radovanović, T. Lončar-Turukalo, M. Ceci, S. Brdar, G. Pio, Multi-class boosting for the analysis of multiple incomplete views on microbiome data, BMC Bioinformatics, 25, 18, 2024
P. Mignone, G. Pio, M. Ceci, Distributed Heterogeneous Transfer Learning, Big Data Research, 37, 100456, 2024
R. Corizzo, G. Pio, E. Pio Barracchia, A. Pellicani, N. Japkowicz, M. Ceci, HURI: Hybrid user risk identification in social networks, World Wide Web, 26, pp. 3409–3439, 2023
L. J. Marcos-Zambrano et al., A toolbox of machine learning software to support microbiome analysis, Frontiers in Microbiology, 14, 1250806, 2023
D. D'Elia et al., Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action, Frontiers in Microbiology, 14, 1257002, 2023,
S. De Ruvo, G. Pio, G. Vessio, V. Volpe, Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy, Medical & Biological Engineering & Computing, doi: 10.1007/s11517-023-02831-0, 2023
M. Bilancia, M. Di Nanni, F. Manca, G. Pio, Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering, Computational Statistics, 38, pp. 2015–2051, 2023
G. De Martino, G. Pio, M. Ceci, Multi-view overlapping clustering for the identification of the subject matter of legal judgments, Information Sciences, 638: 118956, 2023
A. Pellicani, G. Pio, D. Redavid, M. Ceci, SAIRUS: Spatially-aware identification of risky users in social networks, Information Fusion, Vol 92, pp. 435-449, 2023
V. Merlo, G. Pio, F. Giusto, M. Bilancia, On the exploitation of the blockchain technology in the healthcare sector: A systematic review, Expert Systems with Applications, Vol 213, Part A, 118897, 2023
M. Petkovic, M. Ceci, G. Pio, B. Skrlj, K. Kersting, S. Dzeroski, Relational tree ensembles and feature rankings, Knowledge-Based Systems, 251: 109254, 2022
E. Barracchia, G. Pio, A. Bifet, H. Gomes, B. Pfahringer, M. Ceci, LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding, Information Sciences, 606: 702-721, 2022
G. Pio, P. Mignone, G. Magazzù, G. Zampieri, M. Ceci, C. Angione, Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction, Bioinformatics, 38(2): 487-493, 2022
G. De Martino, G. Pio, M. Ceci, PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments, Artificial Intelligence and Law, 30, pp. 359-390, 2022
S. Hess, G. Pio, M. Hochstenbach, M. Ceci, BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent, Data Mining and Knowledge Discovery, 35, pp. 2542-2576, 2021
I. Moreno-Indias et al., Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions, Frontiers in Microbiology, 12, 277, 2021
P. Mignone, G. Pio, S. Dzeroski, M. Ceci, Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks, Scientific Reports 10, 22295, 2020
M. Ceci, R. Corizzo, N. Japkowicz, P. Mignone, G. Pio, ECHAD: embedding-based change detection from multivariate time series in smart grids, IEEE Access, 8:156053-156066, 2020
E. Barracchia, G.Pio, D. D'Elia, M. Ceci, Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering, BMC Bioinformatics 21, 70, 2020
G. Pio, M. Ceci, F. Prisciandaro, D. Malerba, Exploiting causality in gene network reconstruction based on graph embedding, Machine Learning, 109(6): 1231-1279, 2020
P. Mignone, G. Pio, D. D'Elia, M. Ceci, Exploiting Transfer Learning for the Reconstruction of the Human Gene Regulatory Network, Bioinformatics, 36(5): 1553-1561, 2020
R. Corizzo, G. Pio, M. Ceci, D. Malerba, DENCAST: distributed density-based clustering for multi-target regression, Journal of Big Data, 2019 6:43
F. Serafino, G. Pio, M. Ceci, Ensemble Learning for Multi-type Classification in Heterogeneous Networks, IEEE Transactions on Knowledge and Data Engineering, 30(12): 2326-2339, 2018
G. Pio, F. Serafino, D. Malerba, M. Ceci, Multi-type clustering and classification from heterogeneous networks, Information Sciences, 425:107-126, 2018
M. Ceci, G. Pio, V. Kuzmanovski, S. Dzeroski, Semi-Supervised Multi-View Learning for Gene Network Reconstruction, PLoS One 10(12): e0144031, 2015
N. Del Buono, G.Pio, Non-Negative Matrix Tri-Factorization for co-clustering: an analysis of the block matrix, Information Sciences, 301:13-26, 2015
G. Pio, M. Ceci, D. Malerba, D. D'Elia, ComiRNet: a Web-based System for the Analysis of miRNA-gene Regulatory Networks, BMC Bioinformatics 16 (Suppl 9), S7, 2015
G. Pio, F. Fumarola, A.E. Felle, D. Malerba, M.Ceci, Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome, Journal on Computing and Cultural Heritage, 7(4):22, 2014
G. Pio, D. Malerba, D. D'Elia, M. Ceci, Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach, BMC Bioinformatics 15 (Suppl 1), S4, 2014
G. Pio, M. Ceci, D. D'Elia, C. Loglisci, D. Malerba, A novel biclustering algorithm for the discovery of meaningful biological correlations between miRNAs and mRNAs, BMC Bioinformatics 14 (Suppl 7), S8, 2013
P. Molino, G. Pio, C. Mencar, Fast Fuzzy Inference in Octave, International Journal of Computational Intelligence Systems, 6 (2), pp. 307-317, 2013
G. Pio, M. Ceci, D. D'Elia, C. Loglisci, D. Malerba, A novel biclustering algorithm for the discovery of meaningful biological correlations between miRNAs and mRNAs, Abstract on EMBnet. journal 18 (A), pp. 43-44, 2012
G. Pio, M. Ceci, D. D'Elia, C. Loglisci, D. Malerba, The integration of microRNA target data by biclustering techniques opens new roads for signaling networks analysis, Abstract on EMBnet. journal 18 (B), pp. 142-144, 2012

Proceedings of International Conferences

S. Polimena, G. Pio, G. Attolico, M.Ceci, Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables, ISMIS 2024, pp. 3-13, 2024
D. Rosa, A. Pellicani, G. Pio, D. D'Elia, M.Ceci, Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers, ISMIS 2024, pp. 77-86, 2024
G. De Martino, G. Pio, Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding, ISMIS 2022, pp. 74-84, 2022
A. D'Aversa, S. Polimena, G. Pio, M. Ceci, Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids, Discovery Science 2022, pp. 141-156, 2022
R. Corizzo, M. Ceci, G. Pio, P. Mignone, N. Japkowicz, Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. Discovery Science 2021, LNCS 12986, pp. 461-471, 2021
P. Mignone, G. Pio, Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. ISMIS 2018: 13-23
E. Barracchia, G. Pio, D. Malerba, M. Ceci, Identifying lncRNA-Disease Relationships via Heterogeneous Clustering, NFMCP@ECML/PKDD 2017, pp. 35-48, 2018
G. Pio, M. Ceci, F. Prisciandaro, D. Malerba, LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. Discovery Science 2017, LNCS 10558, pp. 283-297, 2017
F. Serafino, G. Pio, M. Ceci, D. Malerba, Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science 2015, LNCS 9356, pp. 236-250, 2015
G. Pio, M. Ceci, D. D'Elia, D. Malerba, Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks, Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014, LNCS 8726, pp. 508-511, 2014
G. Pio, P. F. Lanotte, M. Ceci, D. Malerba, Mining Temporal Evolution of Entities in a Stream of Textual Documents, International Symposium on Methodologies for Intelligent Systems (ISMIS), pp. 50-60, 2014
G. Pio, M. Ceci, D. D'Elia, C. Loglisci, D. Malerba, Hierarchical and Overlapping Co-Clustering of mRNA:miRNA Interactions, European Conference on Artificial Intelligence (ECAI), pp. 654-659, 2012

Proceedings of International Workshops

M. Ceci, G. Pio, D. D'Elia, C. Loglisci, D. Malerba, Analysis of Gene-microRNA Maps for Regulatory Network Discovery, Spring Workshop on Mining and Learning, 2012

Proceedings of National Conferences

A. D'Aversa, G. Pio Nowcasting of the energy production of wind power plants through spatially-aware model trees (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2024
A. Pellicani, G. Pio, M. Ceci, A Multi-Perspective Approach for Risky User Identification in Social Networks (Discussion Paper) , Italian Symposium on Advanced Database Systems (SEBD), 2023
P. Mignone, G. Pio, M. Ceci, Distributed Heterogeneous Transfer Learning (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2022
G. de Martino, G. Pio, M. Ceci, A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2021
E. P. Barracchia, G. Pio, D. D'Elia, M. Ceci, Prediction of New Associations between ncRNAs and Diseases Exploiting Multi-Type Hierarchical Clustering, Italian Symposium on Advanced Database Systems (SEBD), 2020
P. Mignone, G. Pio, M. Ceci, Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2019
F. Serafino, G. Pio, M. Ceci, Ensemble Learning for Multi-type Classification in Heterogeneous Networks (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2018
R. Corizzo, G. Pio, M. Ceci, D. Malerba, Forecasting via Distributed Density-Based Clustering (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2017
F. Serafino, G. Pio, D. Malerba, M. Ceci, Multi-Type Classification from Heterogeneous Networks (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2016
M. Ceci, G. Pio, V. Kuzmanovski, S. Dzeroski, Semi-Supervised Multi-View Learning for Gene Network Reconstruction (Discussion Paper), Italian Symposium on Advanced Database Systems (SEBD), 2016
G. Pio, M. Ceci, D. D'Elia, D. Malerba, Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach (discussion paper), Italian Symposium on Advanced Database Systems (SEBD), 2014
G. Pio, M. Ceci, D. D'Elia, C. Loglisci, D. Malerba, HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA:mRNA regulatory modules (discussion paper), Italian Symposium on Advanced Database Systems (SEBD), 2013
F. Fumarola, G. Pio, A. E. Felle, D. Malerba, M. Ceci, EDB: Knowledge technologies for ancient Greek and Latin epigraphy, IRCDL 2013, CCIS 385, pp. 29-40. Springer, Heidelberg (2014), ISSN: 1865-0929
G. Pio, M. Ceci, D. Malerba, Mining temporal evolution of criminal behaviors, Italian Symposium on Advanced Database Systems (SEBD), 2012

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Courses

Management and analysis of Big Data (Gestione e Analisi di Big Data), Laurea Magistrale in Data Science, 2020/2021, 2021/2022
Security in Blockchain Technology, PhD Programme in Computer Science and Mathematics - Cycle XXXV
Algorithms and data structures (Algoritmi e Strutture Dati), Corso B - 2019/2020, 2020/2021, 2021/2022, Informatica
Formal methods for cybersecurity (Metodi Formali per la Sicurezza) - 2019/2020, Laurea Magistrale in Sicurezza Informatica (TA)
Multi-relational Data Mining, PhD Programme in Computer Science and Mathematics - Cycle XXXIII
Big Data Analytics, PhD Programme in Computer Science and Mathematics - Cycles XXXII, XXXIII, XXXIV, XXXV, XXXVI
Databases (Basi di Dati) - 2016/2017, 2017/2018, 2018/2019, Informatica e Comunicazione Digitale (TA)
Computer Programming II (Programmazione II) - 2015/2016, Informatica e Tecniche per la Produzione del Software

Software

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