Sarah Alnegheimish

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Anomaly Detection

Text Classifiers

Machine Learning

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni
Large language models can be zero-shot anomaly detectors for time series? CoRR (2024)
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 (2024)
Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection. CoRR (2023)
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni
Sintel: A Machine Learning Framework to Extract Insights from Signals. CoRR (2022)
Sarah Alnegheimish, Alicia Guo, Yi Sun
Using Natural Sentences for Understanding Biases in Language Models. CoRR (2022)
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni
Sintel: A Machine Learning Framework to Extract Insights from Signals. SIGMOD Conference (2022)
Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. CoRR (2022)
Sarah Alnegheimish, Alicia Guo, Yi Sun
Using Natural Sentence Prompts for Understanding Biases in Language Models. NAACL-HLT (2022)
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) (2022)
Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. Big Data (2022)
Fahad Alhasoun, Sarah Alnegheimish, Joshua B. Tenenbaum
Probabilistic Programming Bots in Intuitive Physics Game Play. CoRR (2021)
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. CoRR (2021)
Fahad Alhasoun, Sarah Alnegheimish
Probabilistic Programming Bots in Intuitive Physics Game Play. AAAI (2021)
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. CoRR (2020)
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 (2020)
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. DSAA (2020)
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks. IEEE BigData (2020)