Paolo Mignone is a Research Fellow at the Dept. of Computer Science, University of Bari (Italy). He has published papers in top-journals including papers in Bioinformatics, IEEE Transactions on Human-Machine Systems, and conference proceedings. He participated in the scientific committee of international conferences and served as a reviewer in a wide range of international conferences and journals.

Research Interests

Big Data Analytics, Bioinformatics, Data Mining and Knowledge Discovery, Link Prediction, and Transfer Learning

Paolo Mignone
PhD, Assistant Professor
(non-tenure)
Phone: +39 080 544 2360
em@il: paolo.mignone @ uniba.it
webpage: https://paolomignone.di.uniba.it





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2025
Antongiacomo Polimeno, Paolo Mignone, Chiara Braghin, Marco Anisetti, Michelangelo Ceci, Donato Malerba, Claudio A. Ardagna:
Balancing Protection and Quality in Big Data Analytics Pipelines. Big Data 13(2): 127-143 (2025)
DOI: https://doi.org/10.1089/big.2023.0065


2024
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. Big Data Res. 37: 100456 (2024)
DOI: https://doi.org/10.1016/j.bdr.2024.100456
Paolo Mignone, Roberto Corizzo, Michelangelo Ceci:
Distributed and explainable GHSOM for anomaly detection in sensor networks. Mach. Learn. 113(7): 4445-4486 (2024)
DOI: https://doi.org/10.1007/s10994-023-06501-y


2023
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I PKDD/ECML Workshops (1) Communications in Computer and Information Science 1752, Springer (2023), ISBN: 978-3-031-23618-1
DOI: https://doi.org/10.1007/978-3-031-23618-1
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II PKDD/ECML Workshops (2) Communications in Computer and Information Science 1753, Springer (2023), ISBN: 978-3-031-23633-4
DOI: https://doi.org/10.1007/978-3-031-23633-4


2022
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. IEEE Big Data: 2867-2874 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020470
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. IEEE Big Data: 5536-5541 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020270
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. itaDATA: 39-50 (2022)
DOI: https://ceur-ws.org/Vol-3340/paper38.pdf
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. SEBD: 351-358 (2022)
DOI: https://ceur-ws.org/Vol-3194/paper42.pdf
Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1): 281-292 (2022)
DOI: https://doi.org/10.1007/978-3-031-23618-1_20
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. Bioinform. 38(2): 487-493 (2022)
DOI: https://doi.org/10.1093/bioinformatics/btab647


2021
Daniela Mazzolini, Paolo Mignone, Patrizia Pavan, Gennaro Vessio:
An easy-to-explain decision support framework for forensic analysis of dynamic signatures. Digit. Investig. 38: 301216 (2021)
DOI: https://doi.org/10.1016/j.fsidi.2021.301216
Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz:
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS: 461-471 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_36


2020
Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio:
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access 8: 156053-156 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.3019095
Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS: 451-467 (2020)
DOI: https://doi.org/10.1007/978-3-030-61527-7_30
Paolo Mignone, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting transfer learning for the reconstruction of the human gene regulatory network. Bioinform. 36(5): 1553-1561 (2020)
DOI: https://doi.org/10.1093/bioinformatics/btz781


2019
Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). SEBD (2019)
DOI: https://ceur-ws.org/Vol-2400/paper-06.pdf


2018
Paolo Mignone, Gianvito Pio:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. ISMIS: 13-23 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_2


2015
Giuseppe Pirlo, Vito Cuccovillo, Moisés Díaz Cabrera, Donato Impedovo, Paolo Mignone:
Multidomain Verification of Dynamic Signatures Using Local Stability Analysis. IEEE Trans. Hum. Mach. Syst. 45(6): 805-810 (2015)
DOI: https://doi.org/10.1109/THMS.2015.2443050


2014
Giuseppe Pirlo, Vito Cuccovillo, Donato Impedovo, Paolo Mignone:
On-Line Signature Verification by Multi-domain Classification. ICFHR: 67-72 (2014)
DOI: https://doi.org/10.1109/ICFHR.2014.19