Mitra, Prasenjit

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

Tang, X., Yao, H., Sun, Y., Aggarwal, C., Mitra, P., & Wang, S. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 125

Federated Unlearning with Knowledge Distillation

Wu, C., Zhu, S., & Mitra, P. (2022) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 50

Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages

Imran, M., Mitra, P., & Srivastava, J. (2016) · arXiv

Domain Adaptation and Few-Shot LearningPublic Relations and Crisis Communication

Cited by 26

Toward Cleansing Backdoored Neural Networks in Federated Learning

Wu, C., Yang, X., Zhu, S., & Mitra, P. (2022) · 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 12

Improving Amharic Information Retrieval with Translative and Multi-Agent Debate Retrieval Augmented Generation

Jotie, A. A., & Mitra, P. (2026) · Proceedings of the Language Resources and Evaluation Conference

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models

Zhang, N., Kwek, E., Zhang, Y., Nguyen, N.-H., Mitra, P., & Zhang, R. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0