Paolo Mignone's Home Page

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

Paolo Mignone

Assistant Professor

KDDE lab. - IV floor
Dept. of Computer Science
University of Bari Aldo Moro

Via Orabona, 4 - 70125 Bari - Italy
+39 080 5442203

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

Member of the Local Organizing Committee of the University of Bari Aldo Moro for the CyberChallengeIT 2020, 2021
16th Italian Research Conference on Digital Libraries (IRCDL 2020), Bari (Italy), January 30-31, 2020
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)
IEEE 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)

Conference Reviewing

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)
ACM/SIGAPP Symposium on Applied Computing (SAC 2018)
Society for Industrial and Applied Mathematics International Conference on Data Mining (SDM 2018, 2019, 2020, 2021)
IEEE 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)
IEEE International Conference on Data Mining (ICDM 2018, 2020, 2021)
International Conference on Data Analytics 2018
Italian Research Conference on Digital Libraries (IRCDL 2019)
International Conference on Machine Learning and Data Mining (MLDM 2019)
AAAI Conference on 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)
IEEE 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 June 21-24, (SEBD 2020)
International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020)
Artificial Intelligence & Knowledge Engineering (AIKE 2020)
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)
The 7th International Conference on Machine Learning, Optimization & Data Science (LOD 2021)

Journal Reviewing

Journal of Biomedical and Health Informatics, ISSN: 2168-2194
Journal of Intelligent Information Systems, ISSN print: 0925-9902, ISSN online: 1573-7675
Springer Medical & Biological Engineering & Computing, ISSN print: 0140-0118, ISSN online: 1741-0444
Intelligenza Artificiale, ISSN print: 1724-8035, ISSN online: 2211-0097
Data Mining and Knowledge Discovery, ISSN print: 1384-5810, ISSN online: 1573-756X
Machine Learning, ISSN print: 0885-6125, ISSN online: 1573-0565
Forensic Science International: Digital Investigation, ISSN: 2666-2817
Journal of Big Data, ISSN online: 2196-1115

Top of this page

Publications

International Journals

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, Volume 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, Volume 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, Volume 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

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, 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

Top of this page

Courses

PhD Programme in Computer Science and Mathematics

Business Data Analytics and Social Network Analysis (1 CFU, 8 hours, course period May-Jun 2020)

Undergraduate Courses

Cyber Security (6 CFU) - ING-INF/05 - Computer Science and Software Production Technologies Bachelor's Degree, Bari - 2020/2021
Secure Systems Design (6 CFU) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
Secure Systems Design (6 CFU) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020
Integrative Teaching in Application Security (2 CFU) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2020/2021
Integrative Teaching in Application Security (2 CFU) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2019/2020
Integrative Teaching in Application Security (2 CFU) - ING-INF/05 - Computer Security Master's Degree, Taranto - 2018/2019

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

BioSfer (Biological Transfer Learning)

Top of this page