28 May Towards Creating Synthetic Data Testbeds for Research
Nassim Oufattole Towards Creating Synthetic Data Testbeds for Research S.M Thesis. Dept. of EECS, MIT. June 2023....
30 Jan Zephyr: a Data-Centric Framework for Predictive Maintenance of Wind Turbines
Frances R. Hartwell Zephyr: a Data-Centric Framework for Predictive Maintenance of Wind Turbines M.Eng Thesis. Dept. of EECS, MIT. February 2023....
21 Nov AER: Auto-Encoder with Regression for Time Series Anomaly Detection
Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni AER: Auto-Encoder with Regression for Time Series Anomaly Detection BigData-2022. In Proceedings of IEEE International Conference on Big Data, December 2022. ...
08 Oct Tracer: A Machine Learning Based Data Lineage Solver with Visualized Metadata Management
Zhuofan Xie Tracer: A Machine Learning Based Data Lineage Solver with Visualized Metadata Management M.Eng Thesis. Dept. of EECS, MIT. December 2021. ...
05 Oct Algorithmic Fairness in Sequential Decision Making
Alicia (Yi) Sun Algorithmic Fairness in Sequential Decision Making Ph.D. Thesis. Dept. of IDSS, MIT. October 2022....
12 Jul Synthetic Data Assessment based on Model Improvement
Romain Palazzo Synthetic Data Assessment based on Model Improvement M.S Thesis. Dept. of Math, EPFL. July 2022....
02 Jun Time Series Anomaly Detection using Prediction-Reconstruction Mixture Errors
Lawrence C. Wong Time Series Anomaly Detection using Prediction-Reconstruction Mixture Errors M.Eng Thesis. Dept. of EECS, MIT. May 2022....
02 Jun Orion – A Machine Learning Framework for Unsupervised Time Series Anomaly Detection
Sarah Alnegheimish Orion – A Machine Learning Framework for Unsupervised Time Series Anomaly Detection S.M Thesis. Dept. of EECS, MIT. May 2022....
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