Scholar
Roberto Corizzo
Google Scholar ID: vAp8J1wAAAAJ
American University
Citations & Impact
Citations
1,742
H-index
23
i10-index
38
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- 1. Program Chair, 18th Conference on Computer Science and Intelligence Systems FedCSIS 2023 (IEEE #57573), AAIA track
- 2. Organizer, '4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data' DLP-KDD workshop, SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
- 3. Program Chair, 17th Conference on Computer Science and Intelligence Systems FedCSIS 2022 (IEEE #57573), AAIA track
- 4. Organizer, 'S2D-OLAD: From shallow to deep, overcoming limited and adverse data' workshop, 9th International Conference on Learning Representations (ICLR 2021)
- 5. Published 'TinySubNets: An efficient and low capacity continual learning strategy' in the Proceedings of the AAAI Conference on Artificial Intelligence
- 6. Published 'The class imbalance problem in deep learning' in the Machine Learning journal
Research Experience
- Before coming to American University, he was a postdoctoral research fellow in the Department of Computer Science at University of Bari, Italy, and a research intern at the INESC TEC research institute in Porto, Portugal.
Education
- PhD, Computer Science (University of Bari, Italy)
- MSc, BSc, Computer Science (University of Bari, Italy)
Background
- Conducts research at the intersection of machine learning, big data computing, and data mining. His research addresses analytical tasks such as sensor data forecasting, time series classification, anomaly detection, and feature extraction tailored to real-world applications in fields such as energy, cybersecurity, astrophysics, and social networks.
Miscellany
- Personal website link provided
Co-authors