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....
10 Feb MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series CSCW-2022. In Proceedings of the ACM Conference On Computer-Supported Cooperative Work And Social Computing, October 2022....
08 Feb In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers
Lei Xu, Laure Berti-Equille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers ICONIP-2022. In Proceedings of the International Conference on Neural Information Processing, November 2022. AdvML-2022. In KDD Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, August 2022....