| Mining microscopic and macroscopic changes in network data streams C Loglisci, M Ceci, A Impedovo, D Malerba Knowledge-Based Systems 161, 294-312, 2018 | 15 | 2018 |
| Simultaneous process drift detection and characterization with pattern-based change detectors A Impedovo, P Mignone, C Loglisci, M Ceci Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 10 | 2020 |
| Efficient and accurate non-exhaustive pattern-based change detection in dynamic networks A Impedovo, M Ceci, T Calders Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 8 | 2019 |
| Condensed representations of changes in dynamic graphs through emerging subgraph mining A Impedovo, C Loglisci, M Ceci, D Malerba Engineering Applications of Artificial Intelligence 94, 103830, 2020 | 7 | 2020 |
| Mining spatio-temporal patterns of periodic changes in climate data C Loglisci, M Ceci, A Impedovo, D Malerba New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP …, 2017 | 5 | 2017 |
| jkarma: A highly-modular framework for pattern-based change detection on evolving data A Impedovo, C Loglisci, M Ceci, D Malerba Knowledge-Based Systems 192, 105303, 2020 | 3 | 2020 |
| EPICS: Pursuing the Quest for Smart Procurement with Artificial Intelligence. A Impedovo, EP Barracchia, G Rizzo, A Caprera, E Landró AIABI@ AI* IA, 2021 | 2 | 2021 |
| Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs M Ceci, A Impedovo, A Pellicani ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020 | 2 | 2020 |
| Analyzing microblogging posts for tracking collective emotional trajectories C Loglisci, G Andresini, A Impedovo, D Malerba AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 2 | 2018 |
| Temporal pattern mining from evolving networks A Impedovo, C Loglisci, M Ceci arXiv preprint arXiv:1709.06772, 2017 | 2 | 2017 |
| Intelligent robotic process automation for supplier document management on e-procurement platforms A Impedovo, EP Barracchia, G Rizzo International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 1 | 2022 |
| Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks C Loglisci, A Impedovo, T Calders, M Ceci Journal of Intelligent Information Systems, 1-38, 2024 | | 2024 |
| Towards Open-Set Contract Clause Recognition A Impedovo, G Rizzo, A Di Mauro 2023 IEEE International Conference on Big Data (BigData), 2767-2776, 2023 | | 2023 |
| Supplier qualification document recognition through open-set recognition G Rizzo, A Impedovo 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
| Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study A Impedovo, EP Barracchia, G Rizzo International Conference on Information Integration and Web, 60-74, 2022 | | 2022 |
| jKarma: a Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data (Discussion Paper) A Impedovo, C Loglisci, M Ceci, D Malerba | | 2020 |
| Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks A Impedovo, C Loglisci, M Ceci, D Malerba Complex Pattern Mining: New Challenges, Methods and Applications, 137-152, 2020 | | 2020 |
| Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). C Loglisci, A Impedovo, M Ceci, D Malerba SEBD, 2019 | | 2019 |
| On the Effectiveness of Non-negative Matrix Factorization for Text Open-set Recognition A Impedovo, G Rizzo | | |
