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Sarah Alnegheimish
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2020 – today
- 2024
- [c7]Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni:
Can Large Language Models be Anomaly Detectors for Time Series? DSAA 2024: 1-10 - [i10]Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. CoRR abs/2401.17196 (2024) - [i9]Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni:
Large language models can be zero-shot anomaly detectors for time series? CoRR abs/2405.14755 (2024) - 2023
- [i8]Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni:
Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection. CoRR abs/2310.17748 (2023) - 2022
- [j1]Dongyu Liu
, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni:
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 103:1-103:30 (2022) - [c6]Lawrence Wong, Dongyu Liu
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. IEEE Big Data 2022: 1152-1161 - [c5]Sarah Alnegheimish, Alicia Guo, Yi Sun:
Using Natural Sentence Prompts for Understanding Biases in Language Models. NAACL-HLT 2022: 2824-2830 - [c4]Sarah Alnegheimish, Dongyu Liu
Sintel: A Machine Learning Framework to Extract Insights from Signals. SIGMOD Conference 2022: 1855-1865 - [i7]Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni:
Sintel: A Machine Learning Framework to Extract Insights from Signals. CoRR abs/2204.09108 (2022) - [i6]Sarah Alnegheimish, Alicia Guo, Yi Sun:
Using Natural Sentences for Understanding Biases in Language Models. CoRR abs/2205.06303 (2022) - [i5]Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. CoRR abs/2212.13558 (2022) - 2021
- [c3]Fahad Alhasoun, Sarah Alnegheimish:
Probabilistic Programming Bots in Intuitive Physics Game Play. AAAI 2021: 778-783 - [i4]Fahad Alhasoun, Sarah Alnegheimish, Joshua B. Tenenbaum:
Probabilistic Programming Bots in Intuitive Physics Game Play. CoRR abs/2104.01980 (2021) - [i3]Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni:
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. CoRR abs/2112.05734 (2021) - 2020
- [c2]Alexander Geiger, Dongyu Liu
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. IEEE BigData 2020: 33-43 - [c1]Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. DSAA 2020: 536-545 - [i2]Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. CoRR abs/2009.07769 (2020) - [i1]Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni:
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. CoRR abs/2010.00509 (2020)
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