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. Co-Founder of Sensitrust
Gianvito Pio Assistant Professor Room 571 - V floor Dept. of Computer Science University of Bari Aldo Moro Via Orabona, 4 - 70125 Bari - Italy +39 080 5442283	chrome_reader_mode Publications school Courses code 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 - New Frontiers in Mining Complex Patterns (NFMCP 2015, NFMCP 2016, NFMCP 2017, NFMCP 2018, NFMCP 2019)
• 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)
• International Conference on Discovery Science (DS 2016, DS 2017, DS 2018, DS 2019, DS 2020, DS 2021)
• 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)
• International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR 2016, KDIR 2017)
• International Symposium on Methodologies for Intelligent Systems (ISMIS 2018)

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

Publications

International Journals

• 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, doi: 10.1007/s00180-023-01350-8, 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

• 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

• 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

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

• HOCCLUS: Hierarchical Overlapping Co-CLUStering:   HOCCLUS/HOCCLUS2   Semi-supervised miRNA target prediction for HOCCLUS2
• ComiRNet - The Database of Predicted miRNAs Regulatory Networks
• GENERE (Multi-view learning for GEne NEtwork REconstruction)
• HENPC (HEterogeneous Network Predictive Clustering)
• Ensemble MT-MrSBC (Ensemble Multi-Type Classification)
• BioSfer (Biological Transfer Learning)
• DENCAST - Distributed density-based clustering for multi-target regression
• INLOCANDA - Exploiting causality in Gene Network Reconstruction based on graph embedding