Boosted embeddings for time-series forecasting SR Karingula, N Ramanan, R Tahmasbi, M Amjadi, D Jung, R Si, ... International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 17 | 2021 |
Katrec: Knowledge aware attentive sequential recommendations M Amjadi, SD Mohseni Taheri, T Tulabandhula Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 11 | 2021 |
Block-structure based time-series models for graph sequences M Amjadi, T Tulabandhula arXiv preprint arXiv:1804.08796, 2018 | 4 | 2018 |
Time Series Anomaly Detection with label-free Model Selection D Jung, N Ramanan, M Amjadi, SR Karingula, J Taylor, CN Coelho Jr arXiv preprint arXiv:2106.07473, 2021 | 2 | 2021 |
Managing adoption under network effects M Amjadi, V Kamble, T Tulabandhula Proceedings of the 14th Workshop on the Economics of Networks, Systems and …, 2019 | 1 | 2019 |
Knowledge Graph Attention for Sequential Recommendations M AMJADI | | 2021 |
Dynamic Networks: Learning and Decision Making M Amjadi University of Illinois at Chicago, 2021 | | 2021 |