You can also find my articles on my Google Scholar profile.

In the Pipeline

  1. Asiaee, A., Oymak, S., Coombes, K. R., & Banerjee, A. High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient. ArXiv Preprint ArXiv:1806.04047.
  2. Abrams, Z. B., Zucker, M., Min, W., Asiaee, A., Abruzzo, L. V., & Coombes, K. R. Thirty Biologically Interpretable Clusters of Transcription Factors Distinguish Cancer Type. Manuscript Submitted for Publication.

High Dimensional Statistics

  1. Asiaee T., A., Chaterjee, S., & Banerjee, A. (2016). High Dimensional Structured Estimation with Noisy Designs. In 16th SIAM International Conference on Data Mining (SDM) (pp. 801–809). SIAM.

Social Network Analysis

  1. Golnari, G., Asiaee T., A., Banerjee, A., & Zhang, Z.-L. (2015). Revisiting Non-Progressive Influence Models: Scalable Influence Maximization in Social Networks. In 31st Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 316–325).
  2. Asiaee T., A., Afshar, M., & Asadpour, M. (2013). Influence maximization for informed agents in collective behavior. In Distributed Autonomous Robotic Systems (pp. 389–402). Springer.
  3. Asiaee T., A., Tepper, M., Banerjee, A., & Sapiro, G. (2012). If you are happy and you know it... tweet. In 21st ACM international conference on Information and knowledge management (CIKM) (pp. 1602–1606). ACM.

General Machine Learning

  1. Asiaee T., A., Goel, H., Gosh, S., Yegneswaran, V., & Banerjee, A. (2018). Time Series Deinterleaving of DNS Traffic. In 1st Deep Learning and Security Workshop (DLS).