Roberto Corizzo Assistant Professor Computer Science
- Degrees
- PhD, Computer Science (University of Bari, Italy)
MSc, BSc, Computer Science (University of Bari, Italy) - Bio
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Roberto Corizzo conducts research at the intersection of big data computing, machine learning, 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 国产小呦女, 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
- For the Media
- To request an interview for a news story, call 国产小呦女Communications at 202-885-5950 or submit a request.
Teaching
Spring 2024
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CSC-208 Intro to Computer Science II
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CSC-480 Introduction to Data Mining
Fall 2024
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CSC-208 Intro to Computer Science II
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CSC-483 Big Data Comp/Machine Learning
Scholarly, Creative & Professional Activities
Selected Publications
- Corizzo, R., & Slenn, T. (2022, December). Distributed Node Classification with Graph Attention Networks. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 3720-3725) [闭听
- Faber, K., Corizzo, R., Sniezynski, B., & Japkowicz, N. (2022, October). Active Lifelong Anomaly Detection with Experience Replay. In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-10) []
- Ding, L., Corizzo, R., Bellinger, C., & al.聽(2022, December). Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 5902-5909) [闭听
- Ghosh, K., Bellinger, C., Corizzo, R., Branco, P., Krawczyk, B., & Japkowicz, N. (2022). The class imbalance problem in deep learning. Machine Learning, 1-57 []
- Corizzo, R., Baron, M., & Japkowicz, N. (2022). CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection. Knowledge-Based Systems, 247, 108756 []
- Faber, K., Corizzo, R., Sniezynski, B., Baron, M., & Japkowicz, N. (2021, December). WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. In 2021 IEEE International Conference on Big Data聽(pp. 4450-4459) []
- Corizzo, R., Ceci, M., Fanaee-T, H., & Gama, J. (2021). Multi-aspect renewable energy forecasting. Information Sciences, 546, 701-722 []
- Corizzo, R., Ceci, M., Zdravevski, E., & Japkowicz, N. (2020). Scalable auto-encoders for gravitational waves detection from time series data. Expert Systems with Applications, 151, 113378 []
Media Appearances
Cover Story: "The UncertAInty of ChatGPT" -聽国产小呦女AWOL magazine - Issue 32 -聽Spring 2023聽[]
Professional Services
Program Chair,聽18th Conference on Computer Science and Intelligence Systems FedCSIS 2023 (IEEE #57573), AAIA track []
Organizer, "4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data" DLP-KDD workshop,聽SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), August 14-18, 2022, Washington DC []
Program Chair,聽17th Conference on Computer Science and Intelligence Systems FedCSIS 2022聽(IEEE #57573), AAIA track []
Organizer, 鈥淪2D-OLAD: From shallow to deep, overcoming limited and adverse data鈥 workshop,聽9th International Conference on Learning Representations (ICLR 2021) []
Announcements
Congratulations to the lab member Ian Whitehouse聽(BS - Computer Science) for being a recipient聽of a 2023 Robyn Rafferty Mathias Student Research Conference award!聽[link]