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 InterestsTransfer learning, Bioinformatics, Link prediction and Big Data Analytics. |
Paolo MignonePhone: +39 080 5442203 |
Journal Articles | |
Book | |
Conference or Workshop | |
Editorship | |
Collection | |
Other |
Publications
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 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 | |
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 |
2022
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, 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 | |
Paolo Mignone, Gianvito Pio, Michelangelo Ceci: Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. Big Data: 5536-5541 (2022) DOI: https://doi.org/10.1109/BigData55660.2022.10020270 | |
Paolo Mignone, Donato Malerba, Michelangelo Ceci: Anomaly Detection for Public Transport and Air Pollution Analysis. Big Data: 2867-2874 (2022) DOI: https://doi.org/10.1109/BigData55660.2022.10020470 | |
Paolo Mignone, Gianvito Pio, Michelangelo Ceci: Distributed Heterogeneous Transfer Learning. SEBD: 351-358 (2022) DOI: http://ceur-ws.org/Vol-3194/paper42.pdf | |
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
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 | |
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 | |
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: http://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. Human-Machine Systems 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 |