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19 Aug Machine Learning Systems for Unsupervised Time Series Anomaly Detection

Posted at 22:32h in Research, Thesis, Thesis 2025 by Sarah Alnegheimish 0 Comments
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Sarah Alnegheimish Machine Learning Systems for Unsupervised Time Series Anomaly Detection Ph.D. Thesis. Dept. of EECS, MIT. August 2025....

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19 Aug Large Language Models for Time Series Anomaly Detection and Explanation

Posted at 22:27h in Publications, Thesis, Thesis 2025 by Sarah Alnegheimish 0 Comments
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Salim Cherkaoui Large Language Models for Time Series Anomaly Detection and Explanation M.S Thesis. Data Science, EPFL. January 2025....

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19 Aug Enhancing a Data-Centric Framework for Predictive Maintenance of Wind Turbines

Posted at 22:20h in Research, Thesis, Thesis 2025 by Sarah Alnegheimish 0 Comments
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Raymond Pan Enhancing a Data-Centric Framework for Predictive Maintenance of Wind Turbines M.Eng. Thesis. Dept. of EECS, MIT. May 2025....

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19 Aug PyGridSim: A Functional Interface for Distributed System Simulation

Posted at 22:18h in Publications, Research, Thesis 2025 by Sarah Alnegheimish 0 Comments
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Angela Zhao PyGridSim: A Functional Interface for Distributed System Simulation M.Eng. Thesis. Dept. of EECS, MIT. May 2025....

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20 Feb Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models

Posted at 18:24h in Research, Thesis, Thesis 2025 by Sarah Alnegheimish 0 Comments
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Linh Nguyen Unsupervised Time Series Anomaly Detection Using Time Series Foundational Models M.Eng Thesis. Dept. of EECS, MIT. February 2025....

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20 Feb Systems for Usable Machine Learning

Posted at 18:22h in Thesis, Thesis 2025 by Sarah Alnegheimish 0 Comments
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Alexandra Zytek Systems for Usable Machine Learning Ph.D. Thesis. Dept. of EECS, MIT. February 2025....

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11 Feb CENTS: Generating Synthetic Electricity Consumption Time Series for Rare and Unseen Scenarios

Posted at 18:51h in Papers 2025 by Sarah Alnegheimish 0 Comments
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Michael Fuest, Alfredo Cuesta-Infante, Kalyan Veeramachaneni CENTS: Generating Synthetic Electricity Consumption Time Series for Rare and Unseen Scenarios Preprint. January 2025....

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19 Dec Explingo: Explaining AI Predictions using Large Language Models

Posted at 15:05h in Papers 2024, Publications, Research by Sara Pido 0 Comments
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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....

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Posted at 25 Nov, 17:31h in Papers, Papers 2024, Publications, Research by Sarah Alnegheimish 0 Comments
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OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User

10 Jun Large Language Models Can be Zero-Shot Anomaly Detectors for Time Series?

Posted at 19:02h in Papers, Papers 2024, Publications, Research by Sara Pido 0 Comments
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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....

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