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Class-Weighted Evaluation Metrics for Imbalanced Data Classification

Oct 12, 2020
Akhilesh Gupta, Nesime Tatbul, Ryan Marcus, Shengtian Zhou, Insup Lee, Justin Gottschlich

* 11 pages 

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AnomalyBench: An Open Benchmark for Explainable Anomaly Detection

Oct 10, 2020
Vincent Jacob, Fei Song, Arnaud Stiegler, Yanlei Diao, Nesime Tatbul


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MISIM: An End-to-End Neural Code Similarity System

Jun 15, 2020
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich

* arXiv admin note: text overlap with arXiv:2003.11118 

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LISA: Towards Learned DNA Sequence Search

Oct 10, 2019
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Vasimuddin Md, Tim Kraska


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Precision and Recall for Time Series

Oct 28, 2018
Nesime Tatbul, Tae Jun Lee, Stan Zdonik, Mejbah Alam, Justin Gottschlich

* 11 pages, 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada 

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The Three Pillars of Machine Programming

May 08, 2018
Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin Rinard, Regina Barzilay, Saman Amarasinghe, Joshua B Tenenbaum, Tim Mattson


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Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection

Feb 11, 2018
Tae Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik


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Precision and Recall for Range-Based Anomaly Detection

Feb 11, 2018
Tae Jun Lee, Justin Gottschlich, Nesime Tatbul, Eric Metcalf, Stan Zdonik


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