Angelo Impedovo was a Research Fellow at Computer Science department of University of Bari Aldo Moro

Research Interests

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

Angelo Impedovo
PhD
Phone: +39 080 5442203
em@il: angelo.impedovo @ uniba.it
webpage: http://www.di.uniba.it/~aimpedovo/





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2023
Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro:
Towards Open-Set Contract Clause Recognition. IEEE Big Data: 2767-2776 (2023)
DOI: https://doi.org/10.1109/BigData59044.2023.10386681
Giuseppe Rizzo, Angelo Impedovo:
Supplier qualification document recognition through open-set recognition. DSAA: 1-10 (2023)
DOI: https://doi.org/10.1109/DSAA60987.2023.10302610


2022
Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms. LOD (1): 156-166 (2022)
DOI: https://doi.org/10.1007/978-3-031-25599-1_12
Angelo Impedovo, Emanuele Pio Barracchia, Giuseppe Rizzo:
Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study. iiWAS: 60-74 (2022)
DOI: https://doi.org/10.1007/978-3-031-21047-1_5


2021
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)
DOI: https://ceur-ws.org/Vol-3102/paper3.pdf


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, Angelo Impedovo, Antonio Pellicani:
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops: 237-248 (2020)
DOI: https://doi.org/10.1007/978-3-030-65965-3_15
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD: 343-350 (2020)
DOI: https://ceur-ws.org/Vol-2646/38-paper.pdf
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)
DOI: https://doi.org/10.1016/j.engappai.2020.103830
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)
DOI: https://doi.org/10.1016/j.knosys.2019.105303
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining: 137-152 (2020)
DOI: https://doi.org/10.1007/978-3-030-36617-9_9


2019
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
DOI: https://ceur-ws.org/Vol-2400/paper-23.pdf
Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS: 396-411 (2019)
DOI: https://doi.org/10.1007/978-3-030-33778-0_30


2018
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161: 294-312 (2018)
DOI: https://doi.org/10.1016/j.knosys.2018.07.011
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA: 123-135 (2018)
DOI: https://doi.org/10.1007/978-3-030-03840-3_10


2017
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
DOI: http://arxiv.org/abs/1709.06772


2016
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML: 198-212 (2016)
DOI: https://doi.org/10.1007/978-3-319-61461-8_13