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	chrome_reader_mode Publications school Courses code 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

• 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 Joint Conference on Artificial Intelligence and the Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020, 2021, 2022)
• Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2020)
• 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)
• Conference on Computer Science and Intelligence Systems 2022 (FedCSIS 2022)
• International Conference on Advances in Social Network Analysis and Mining (ASONAM 2022)

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

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)
• 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)
• 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)
• International Joint Conference on Artificial Intelligence and the Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020, 2021)
• 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

• Applied Sciences, ISSN: 2076-3417
• 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
• Expert Systems with Applications, print ISSN: 0957-4174
• Forensic Science International: Digital Investigation, ISSN: 2666-2817
• Frontiers in Big Data, online ISSN: 2624-909X
• Intelligenza Artificiale, print ISSN: 1724-8035, online ISSN: 2211-0097
• Journal of Big Data, online ISSN: 2196-1115
• Journal of Biomedical and Health Informatics, ISSN: 2168-2194
• 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
• Sensors, ISSN: 1424-8220

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, 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

• 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

• Data Mining (6 CFU, 4 lessons, 2 exercises/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 exercises/laboratory, 46 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2022/2023
• Database Systems (4 CFU, 2 lessons, 2 exercises/laboratory, 46 hours) - ING-INF/05 - Computer Science Master's Degree, Bari - 2021/2022
• Cyber Security (6 CFU, 4 lessons, 2 exercises/laboratory, 62 hours) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2020/2021
• Application Security (1 CFU exercises/laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2022/2023
• Application Security (1 CFU exercises/laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2021/2022
• Integrative Teaching in Application Security (1 CFU exercises/laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
• Integrative Teaching in Application Security (1 CFU exercises/laboratory, 15 hours) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020
• Integrative Teaching in Application Security (1 CFU exercises/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



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Software

• Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction
• BioSfer (Biological Transfer Learning)



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