20 Feb Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models
Linh Nguyen Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models M.Eng Thesis. Dept. of EECS, MIT. February 2025....
Linh Nguyen Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models M.Eng Thesis. Dept. of EECS, MIT. February 2025....
Alexandra Zytek Systems for Usable Machine Learning Ph.D. Thesis. Dept. of EECS, MIT. February 2025....
Michael Fuest, Alfredo Cuesta-Infante, Kalyan Veeramachaneni CENTS: Generating Synthetic Electricity Consumption Time Series for Rare and Unseen Scenarios Preprint. January 2025....
Alexandra Zytek, Sara Pido, Sarah Alnegheimish, Laure Berti-Equille, Kalyan Veeramachaneni Explingo: Explaining AI Predictions using Large Language Models BigData-2024. In Proceedings of IEEE International Conference on Big Data, December 2024....
Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, Kalyan Veeramachaneni Large Language Models Can be Zero-Shot Anomaly Detectors for Time Series? DSAA-2024. In Proceedings of IEEE International Conference on Data Science and Advanced Analytics (DSAA), October 2024....
Grace Y. Song Modeling Control Signals for Reconstruction-based Time Series Anomaly Detection M.Eng Thesis. Dept. of EECS, MIT. May 2024. ...
Alexandra Zytek, Sara Pido, Kalyan Veeramachaneni LLMs for XAI: Future Directions for Explaining Explanations ACM CHI 2024, HCXAI. Workshop on Human-Centered Explainable AI, May 2024....
Wei-En Warren Wang Why-did-the-prediction-change-Explaining-changes in-predictions-as-time-progresses M.Eng Thesis. Dept. of EECS, MIT. Feb 2024. ...
Guanpeng Andy Xu SigPro-Enabling-Subject-Matter-Expert-Guidance-in-Feature-Engineering M.Eng Thesis. Dept. of EECS, MIT. Feb 2024....