Karami, Mansooreh

Causal interpretability for machine learning-problems, methods and evaluation

Moraffah, R., Karami, M., Guo, R., Raglin, A., & Liu, H. (2020) · ACM SIGKDD Explorations Newsletter

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

Cited by 238

Combating disinformation in a social media age

Shu, K., Bhattacharjee, A., Alatawi, F., Nazer, T. H., Ding, K., Karami, M., & Liu, H. (2020) · WIREs Data Mining and Knowledge Discovery

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 198

Large Language Models for Data Annotation and Synthesis: A Survey

Tan, Z., Li, D., Wang, S., Beigi, A., Jiang, B., Bhattacharjee, A., Karami, M., Li, J., Cheng, L., & Liu, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 178

Text Transformations in Contrastive Self-Supervised Learning: A Review

Bhattacharjee, A., Karami, M., & Liu, H. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20