Sambaten: Sampling-based batch incremental tensor decomposition E Gujral, R Pasricha, EE Papalexakis Proceedings of the 2018 SIAM International Conference on Data Mining, 387-395, 2018 | 44 | 2018 |
Identifying and alleviating concept drift in streaming tensor decomposition R Pasricha, E Gujral, EE Papalexakis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 25 | 2019 |
Beyond rank-1: Discovering rich community structure in multi-aspect graphs E Gujral, R Pasricha, E Papalexakis Proceedings of The Web Conference 2020, 452-462, 2020 | 16 | 2020 |
Octen: Online compression-based tensor decomposition E Gujral, R Pasricha, T Yang, EE Papalexakis 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 8 | 2019 |
Adaptive granularity in time evolving graphs as tensors R Pasricha, E Gujral, EP Evangelos Ratio 20 (40), 60, 2020 | 6 | 2020 |
Adaptive granularity in tensors: A quest for interpretable structure RS Pasricha, E Gujral, EE Papalexakis Frontiers in Big Data 5, 929511, 2022 | 5 | 2022 |
Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation RS Pasricha, US Saini, ND Sidiropoulos, F Fang, K Chan, ... Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
Webly supervised image-text embedding with noisy tag refinement NC Mithun, R Pasricha, E Papalexakis, AK Roy-Chowdhury 2020 25th International Conference on Pattern Recognition (ICPR), 7454-7461, 2021 | 1 | 2021 |
Tensorized feature spaces for feature explosion RS Pasricha, P Devineni, EE Papalexakis, R Kannan 2020 25th International Conference on Pattern Recognition (ICPR), 6298-6304, 2021 | 1 | 2021 |
Revisiting Conventional Assumptions in Static and Dynamic Tensor Mining RS Pasricha | | 2022 |
Webly Supervised Image-Text Embedding with Noisy Tag Refinement M Chowdhury, R Pasricha, E Papalexakis, A Roy-Chowdhury International Conference on Pattern Recognition (ICPR), 2020 | | 2020 |