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Photograph of Roberto Corizzo

Roberto Corizzo Assistant Professor CAS | CSC | Computer Science

Contact
Roberto Corizzo
CAS | Computer Science
4400 Massachusetts Avenue NW 112E
Degrees
PhD, Computer Science (University of Bari, Italy)

MSc, BSc, Computer Science (University of Bari, Italy)

Bio
Roberto Corizzo 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.


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.
See Also
Personal Website
Publications
For the Media
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Teaching

Spring 2025

  • CSC-208 Intro to Computer Science II

  • CSC-480 Introduction to Data Mining

Fall 2025

  • CSC-208 Intro to Computer Science II

  • CSC-483 Big Data Comp/Machine Learning

Scholarly, Creative & Professional Activities

Selected Publications

  • Pietron, M., Faber, K., Żurek, D., & Corizzo, R. (2025, April). TinySubNets: An efficient and low capacity continual learning strategy. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 19, pp. 19913-19920) [Link]
  • Ghosh, K., Bellinger, C., Corizzo, R., Branco, P., Krawczyk, B., & Japkowicz, N. (2024). The class imbalance problem in deep learning. Machine Learning, 1-57 [Link]
  • Corizzo, R., & Hafner, F. S. (2024). Mitigating social bias in sentiment classification via ethnicity-aware algorithmic design. Social Network Analysis and Mining, 14(1), 208 [Link]
  • Chin, M., & Corizzo, R. (2024). Continual Semi-Supervised Malware Detection. Machine Learning and Knowledge Extraction, 6(4), 2829-2854 [Link]
  • Chen, P., Boukouvalas, Z., & Corizzo, R. (2024). A deep fusion model for stock market prediction with news headlines and time series data. Neural Computing and Applications, 1-43 [Link]

Media Appearances

Cover Story: "The UncertAInty of ChatGPT" - AU AWOL magazine - Issue 32 - Spring 2023 [Link]

Professional Services

Program Chair, 18th Conference on Computer Science and Intelligence Systems FedCSIS 2023 (IEEE #57573), AAIA track [Link]

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), August 14-18, 2022, Washington DC [Link]

Program Chair, 17th Conference on Computer Science and Intelligence Systems FedCSIS 2022 (IEEE #57573), AAIA track [Link]

Organizer, “S2D-OLAD: From shallow to deep, overcoming limited and adverse data” workshop, 9th International Conference on Learning Representations (ICLR 2021) [Link]

Announcements

Congratulations to the lab member Ian Whitehouse (BS - Computer Science) for being a recipient of a 2023 Robyn Rafferty Mathias Student Research Conference award! [link]