Sarah Alnegheimish

According to our database, Sarah Alnegheimish authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Large language models can be zero-shot anomaly detectors for time series?

Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni

CoRR, 2024

Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers.

Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

CoRR, 2024

Can Large Language Models be Anomaly Detectors for Time Series?

Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Explingo: Explaining AI Predictions using Large Language Models.

Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni

Proceedings of the IEEE International Conference on Big Data, 2024

OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User.

Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection.

Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni

CoRR, 2023

2022

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series.

Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni

Proc. ACM Hum. Comput. Interact., 2022

Using Natural Sentences for Understanding Biases in Language Models.

Sarah Alnegheimish, Alicia Guo, Yi Sun

CoRR, 2022

Sintel: A Machine Learning Framework to Extract Insights from Signals.

Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Using Natural Sentence Prompts for Understanding Biases in Language Models.

Sarah Alnegheimish, Alicia Guo, Yi Sun

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

AER: Auto-Encoder with Regression for Time Series Anomaly Detection.

Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Probabilistic Programming Bots in Intuitive Physics Game Play.

Fahad Alhasoun, Sarah Alnegheimish, Joshua B. Tenenbaum

CoRR, 2021

Probabilistic Programming Bots in Intuitive Physics Game Play.

Fahad Alhasoun, Sarah Alnegheimish

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cardea: An Open Automated Machine Learning Framework for Electronic Health Records.

Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks.

Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020