Paolo Mignone's Home Page

Research Interests: Data Mining and Knowledge Discovery, Bioinformatics, Transfer Learning, Link Prediction, Big Data Analytics, Anomaly Detection, Physical Threat Intelligence, Cyber Security, Handwriting Signature Recognition, Social Network Analysis.

Paolo Mignone

Assistant Professor

KDDE lab. - V floor - Room 571
Dept. of Computer Science
University of Bari Aldo Moro

Via Orabona, 4 - 70125 Bari - Italy
+39 080 5442283

Publications

Courses

Software

Qualification

PhD in Computer Science from University of Bari, Italy, February 2020.

Academic career

December 2020 - Now Assistant Professor at the Department of Computer Science, University of Bari
December 2019 - December 2020 Research Fellow at the Department of Computer Science, University of Bari
November 2016 - February 2020 PhD student in Computer Science at the Department of Computer Science, University of Bari.

Activities

Organizing Committee

9th International Spring School on Deep Learning (DeepLearn 2023), Bari (Italy), April 03-07, 2023
Member of the Local Organizing Committee of the University of Bari Aldo Moro for the CyberChallengeIT 2020, 2021
Italian Research Conference on Digital Libraries (IRCDL 2020, January 30-31, 2023, February 23-24, Bari (Italy))
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje (Macedonia), September 18-22, 2017
3rd International Winter School on Big Data (BigDat 2017), Bari (Italy), February 13-17, 2017

Program Committee

International Symposium on Advanced Artificial Intelligence in Applications (AAIA 2022, 2023)
International Joint Conference on Artificial Intelligence and the Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020, 2021, 2022)
Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2020, 2021)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020, 2021, 2022)
International Symposium on Methodologies for Intelligent Systems 2022 (ISMIS 2022)
International Conference on Advances in Social Network Analysis and Mining (ASONAM 2022)

Editorial Committee

IFCS 2022 - Classification and Data Science in the Digital Age, Machine Learning Journal, special issue

Publication Chair

26th International Symposium on Methodologies for Intelligent Systems 2022 (ISMIS 2022)

Organizing Chair

10th Workshop New Frontiers in Mining Complex Patterns 2022 (NFMCP 2022) @ ECML-PKDD 2022
11th Workshop New Frontiers in Mining Complex Patterns 2023 (NFMCP 2023) @ ECML-PKDD 2023

Conference Reviewing

International Conference on Advances in Social Network Analysis and Mining (ASONAM 2022)
International Conference on Discovery Science (DS 2017, 2020, 2021)
International Conference on Information and Knowledge Management (CIKM 2017, 2018, 2019, 2020, 2021)
International Conference on Web Intelligence (WI 2017)
International Joint Conference on Artificial Intelligence (IJCAI 2017, 2019, 2020, 2021, 2022, 2023)
International Conference on Pattern Recognition Applications and Methods (ICPRAM 2018)
Symposium on Applied Computing (SAC 2018)
Society for Industrial and Applied Mathematics International Conference on Data Mining (SDM 2018, 2019, 2020, 2021, 2023)
International Conference on Advanced Information Networking and Applications (AINA 2018)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018, 2020, 2021, 2022, 2023)
International Conference on Data Mining (ICDM 2018, 2020, 2021, 2022)
International Conference on Data Analytics 2018
Italian Research Conference on Digital Libraries (IRCDL 2019)
International Conference on Machine Learning and Data Mining (MLDM 2019)
Association for the Advancement of Artificial Intelligence (AAAI 2020, 2021)
European Conference on Information Retrieval (ECIR 2020)
Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2020)
Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE 2020)
Symposium on Advanced Database Systems (SEBD 2020, 2022)
International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020, 2021)
Artificial Intelligence & Knowledge Engineering (AIKE 2020)
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)
International Conference on Machine Learning, Optimization & Data Science (LOD 2021)
International Conference on Mining Intelligence & Knowledge Exploration (MIKE 2021)
International Conference on Pattern Recognition (ICPR 2022)
Conference of the International Federation of Classification Societies (IFCS 2022)
International Conference on Dependable Systems and Networks (DSN 2022)
International Symposium on Methodologies for Intelligent Systems (ISMIS 2022)

Journal Reviewing

ACM Computing Surveys, print ISSN: 0360-0300, online ISSN: 1557-7341
Applied Sciences, ISSN: 2076-3417
Artificial Intelligence in Medicine, print ISSN: 0933-3657, online ISSN: 1873-2860
Bioinformatics Advances, online ISSN: 2635-0041
BMC Bioinformatics, ISSN: 1471-2105
Computational and Structural Biotechnology Journal, ISSN: 2001-0370
Data Mining and Knowledge Discovery, print ISSN: 1384-5810, online ISSN: 1573-756X
Electronics, ISSN: 2079-9292
Engineering Applications of Artificial Intelligence, print ISSN: 0952-1976, online ISSN: 1873-6769
Expert Systems with Applications, print ISSN: 0957-4174
Forensic Science International: Digital Investigation, ISSN: 2666-2817
Frontiers in Big Data, online ISSN: 2624-909X
IEEE/ACM Transactions on Computational Biology and Bioinformatics, print ISSN: 1545-5963, online ISSN: 1557-9964
Intelligenza Artificiale, print ISSN: 1724-8035, online ISSN: 2211-0097
International Journal of Computational Intelligence Systems, online ISSN: 1875-6883
International Journal on Document Analysis and Recognition, print ISSN: 1433-2833, online ISSN: 1433-2825
Journal of Big Data, online ISSN: 2196-1115
Journal of Biomedical and Health Informatics, ISSN: 2168-2194
Journal of Economic Behavior & Organization, online ISSN: 1879-1751, print ISSN: 0167-2681
Journal of Intelligent Information Systems, print ISSN: 0925-9902, online ISSN: 1573-7675
Journal of Intelligent Systems, online ISSN: 1098-111X
Machine Learning, print ISSN: 0885-6125, online ISSN: 1573-0565
Mathematics, ISSN: 2227-7390
Medical & Biological Engineering & Computing, print ISSN: 0140-0118, online ISSN: 1741-0444
Mobile Information Systems, print ISSN: 1574-017X, online ISSN: 1875-905X
Pattern Recognition, print ISSN: 0031-3203, online ISSN: 1873-5142
Sensors, ISSN: 1424-8220

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Publications

International Journals

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, Bioinformatics, Online ISSN: 1460-2059, Print ISSN: 1367-4803, 2021, DOI: 10.1093/bioinformatics/btab647
Paolo Mignone, Gianvito Pio, Domenica D’Elia, Michelangelo Ceci, Big Data analytics for knowledge transfer among organisms while reconstructing Gene Regulatory Networks, Abstract on EMBnet. Special issue to Biostatistics and Mathematical Modelling in Bioinformatics, Vol. 26, 2020, DOI: 10.14806/ej.26.A.956
Daniela Mazzolini, Paolo Mignone, Patrizia Panav, Gennaro Vessio, An easy-to-explain decision support framework for forensic analysis of dynamic signatures, Forensic Science International: Digital Investigation, ISSN: 2666-2817, Vol. 38, N° 301216, September, 2021, DOI: 10.1016/j.fsidi.2021.301216
Paolo Mignone, Gianvito Pio, Sašo Džeroski, Michelangelo Ceci, Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks, Nature - Scientific Reports, Online ISSN: 2045-2322, Vol. 10, N° 22295, December 18th, 2020, DOI: 10.1038/s41598-020-78033-7
Paolo Mignone, Link Prediction via Transfer Learning across Multiple Domains, Selected Ph.D. Thesis Abstracts, The IEEE Intelligent Informatics Bulletin, Online ISSN: 1727-6004, Print ISSN: 1727-5997, Vol. 20, N° 1, October, 2020 (whole issue)
Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio, ECHAD: embedding-based change detection from multivariate time series in smart grids, IEEE Access, Online ISSN: 2169-3536, Vol. 8, Pages: 156053 - 156066, August 24th, 2020, DOI: 10.1109/ACCESS.2020.3019095
Biserka Petrovska, Tatjana Atanasova-Pacemska, Roberto Corizzo, Paolo Mignone, Petre Lameski, Eftim Zdravevski, Aerial Scene Classification through Fine-Tuning with Adaptive Learning Rates and Label Smoothing, Applied Sciences, Online ISSN: 2076-3417, Vol. 10, Issue 17, N° 5792, August 21st, 2020, DOI: 10.3390/app10175792
Paolo Mignone, Gianvito Pio, Domenica D’Elia, Michelangelo Ceci, Exploiting transfer learning for the reconstruction of the human gene regulatory network, Bioinformatics, Online ISSN: 1460-2059, Print ISSN: 1367-4803, Vol. 36, Issue 5, Pages 1553 – 1561, March, 2020, DOI: 10.1093/bioinformatics/btz781
Giuseppe Pirlo, Vito Cuccovillo, Moisés Díaz Cabrera, Donato Impedovo, Paolo Mignone, Multidomain Verification of Dynamic Signatures Using Local Stability Analysis, IEEE Transactions on Human-Machine Systems, Online ISSN: 2168-2305, Print ISSN: 2168-2291, Vol. 45, Issue 6, Pages: 805 - 810, July 1st, 2015, DOI: 10.1109/THMS.2015.2443050

International Conferences

Paolo Mignone, Donato Malerba, Michelangelo Ceci, Anomaly Detection for Public Transport and Air Pollution Analysis. Big Data 2022: pp 2867-2874, DOI: 10.1109/BigData55660.2022.10020470
Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. Big Data 2022: pp 5536-5541, DOI: 10.1109/BigData55660.2022.10020270
Paolo Mignone, Anisetti Marco, Claudio Ardagna, Costantino Mele, Alessandro Balestrucci, Chiara Braghin, Ernesto Damiani, Antongiacomo Polimeno, Donato Malerba and Michelangelo Ceci, Big Data Ingestion and Analytics for Physical Threat Intelligence, The International Emergency Management Society TIEMS 2021 conference, program
Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz, Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS 2021 : 24th International Conference on Discovery Science, DOI: 10.1007/978-3-030-88942-5_36, 2021
Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci, Simultaneous Process Drift Detection and Characterization with Pattern-based Change Detectors. DS 2020 : 23rd International Conference on Discovery Science, DOI: 10.1007/978-3-030-61527-7_30, 2020
Paolo Mignone, Gianvito Pio, Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. ISMIS 2018 : the 24th International Symposium on Methodologies for Intelligent Systems, DOI: 10.1007/978-3-030-01851-1_2, 2018
Giuseppe Pirlo, Vito Cuccovillo, Donato Impedovo, Paolo Mignone, On-Line Signature Verification by Multi-domain Classification. ICFHR 2014 : the 14th International Conference on Frontiers in Handwriting Recognition, DOI: 10.1109/ICFHR.2014.19, 2014

National Conferences

Paolo Mignone, Donato Malerba, Michelangelo Ceci, Anomaly Detection for Physical Threat Intelligence, ITADATA 2022 : the 1st Italian Conference on Big Data and Data Science September 20-21 2022 Milan, Italy
Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Distributed Heterogeneous Transfer Learning (discussion paper), SEBD 2022 : the 30th Italian Symposium on Advanced Database Systems
Paolo Mignone, Gestione intelligente dei processi, etica e tecnologia per la sicurezza urbana. Progettazione e sviluppo di una piattaforma di prevenzione delle minacce urbane e ambientali per città intelligenti, smartcommunities conference 2021, smart communities tech, italian technology cluster for smart communities, April 13th Booklet, Presentation
Paolo Mignone, Michelangelo Ceci, Gianvito Pio, Donato Malerba, Domenica D'Elia, Transfer Learning for Gene Network Reconstruction, BITS 2019 : 16th Annual Meeting of the Bioinformatics Italian Society June 26-28, 2019, Palermo, Italy
Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (discussion paper), SEBD 2019 : the 27th Italian Symposium on Advanced Database Systems
Gianvito Pio, Michelangelo Ceci, Paolo Mignone, Emanuele Pio Barracchia, Donato Malerba, Machine learning per Health & Medicine, Ital-IA 2019 : primo Convegno Nazionale CINI sull'Intelligenza Artificiale - Workshop AI for Health and Medicine, Paper, Presentation
Gianvito Pio, Emanuele Pio Barracchia, Paolo Mignone, Francesca Prisciandaro, Domenica D'Elia, Donato Malerba, Michelangelo Ceci. Data mining methods for the analysis of heterogeneous biological networks. InfoLife 2018 workshop

PhD Forum

Paolo Mignone, Gianvito Pio, Michelangelo Ceci, Gene Network Reconstruction via Transfer Learning across Multiple Organisms. ECML PKDD 2017: the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases. 18th-22th September 2017 - Skopje - Macedonia

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Courses

PhD Programme in Computer Science and Mathematics

Big Data, Data mining, Machine Learning: Machine Learning Settings for Big Data Analytics (1.5 CFU, 12 hours, course period May 2023)
Transfer Learning (2 CFU, 16 hours, course period Mar-Apr 2022)
Business Data Analytics and Social Network Analysis (1 CFU, 8 hours, course period May-Jun 2020)

Undergraduate Courses

Digital Technology for Business Analysis (1 CFU, 7 hours) - INF/01 - Strategic Management and Digital Marketing Master's Degree, Bari - 2022/2023
Data Mining (6 CFU, 4 lessons, 2 laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2022/2023
Data Mining (6 CFU, 4 lessons, 2 laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2021/2022
Database Systems (4 CFU, 2 lessons, 2 laboratory, 46 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2022/2023
Database Systems (4 CFU, 2 lessons, 2 laboratory, 46 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2021/2022
Cyber Security (6 CFU, 4 lessons, 2 laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2020/2021
Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2022/2023
Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2021/2022
Integrative Teaching in Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
Integrative Teaching in Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020
Integrative Teaching in Application Security (1 CFU laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2018/2019
Secure Systems Design (6 CFU, 4 lessons, 2 project, 32 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
Secure Systems Design (6 CFU, 4 lessons, 2 project, 32 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020

Training Programs for High-School and Undergraduate Students

Member of the Local Organizing Committee of the University of Bari Aldo Moro for the CyberChallengeIT 2020 initiative aimed at the Cyber Security Training (March - May) of a Team of 20 Students, aged between 16 and 23, who will compete in the National Challenge
Basics of Java programming at ITS Apulia Digital Maker, Foggia, (50 hours) - Developer 4.0 2020 training course
Big Data & Analytics at ITS Apulia Digital Maker, Foggia, (40 hours) - Industry 4.0 Expert 2019 training course

Software

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