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Angelo Impedovo
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2020 – today
- 2024
- [j4]Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci:
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. 62(5): 1455-1492 (2024) - 2023
- [c12]Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro:
Towards Open-Set Contract Clause Recognition. IEEE Big Data 2023: 2767-2776 - [c11]Giuseppe Rizzo, Angelo Impedovo:
Supplier qualification document recognition through open-set recognition. DSAA 2023: 1-10 - 2022
- [c10]Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study. iiWAS 2022: 60-74 - [c9]Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms. LOD (1) 2022: 156-166 - 2021
- [c8]Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo, Andrea Caprera, Elena Landrò:
EPICS: Pursuing the Quest for Smart Procurement with Artificial Intelligence. AIABI@AI*IA 2021 - 2020
- [j3]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020) - [j2]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020) - [c7]Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS 2020: 451-467 - [c6]Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani:
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops 2020: 237-248 - [c5]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD 2020: 343-350 - [p1]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining 2020: 137-152
2010 – 2019
- 2019
- [c4]Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS 2019: 396-411 - [c3]Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD 2019 - 2018
- [j1]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161: 294-312 (2018) - [c2]Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA 2018: 123-135 - 2017
- [i1]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR abs/1709.06772 (2017) - 2016
- [c1]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML 2016: 198-212
Coauthor Index
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