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Sarah Alnegheimish

IIT@MIT · US
Area of research
Artificial Intelligence · Signal Processing
Research interest
Research interests include Computer science, Series (stratigraphy), Anomaly detection, Artificial intelligence, Autoregressive integrated moving average, and Univariate.
h-index
citations
55
works
6
NIH funding
primary concept
email

Recent publications

Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers
Expert Systems 2025cited by 1position: middledoi
Explingo: Explaining AI Predictions using Large Language Models
2024cited by 3position: middledoi
OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User
2024cited by 0position: firstdoi
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
2022 IEEE International Conference on Big Data (Big Data) 2022cited by 33position: middledoi
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
2020cited by 18position: middledoi
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
2020cited by 0position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Kalyan Veeramachaneni · Massachusetts Institute of Technology6 papers (2020–2025) · 4 papers (2022–2025)Dongyu Liu · Massachusetts Institute of Technology3 papers (2020–2022) · 2 papers (2020–2025)Sara Pidò · IIT@MIT1 papers (2024–2024) · 1 papers (2020–2020)Alexander Geiger · IIT@MIT1 papers (2020–2020)Lei Xu · IIT@MIT1 papers (2025–2025) · 1 papers (2020–2020) · 1 papers (2020–2020) · 1 papers (2020–2020)Alexandra Zytek · IIT@MIT1 papers (2024–2024)Ka Sing Wong · Hong Kong Polytechnic University1 papers (2022–2022)