Deep attentive learning for stock movement prediction from social media text and company correlations R Sawhney, S Agarwal, A Wadhwa, R Shah Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 140 | 2020 |
Stock selection via spatiotemporal hypergraph attention network: A learning to rank approach R Sawhney, S Agarwal, A Wadhwa, T Derr, RR Shah Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 497-504, 2021 | 116 | 2021 |
Spatiotemporal Hypergraph Convolution Network for Stock Forecasting R Sawhney, S Agarwal, A Wadhwa, RR Shah 2020 IEEE International Conference on Data Mining (ICDM), 2020 | 75 | 2020 |
FAST: Financial news and tweet based time aware network for stock trading R Sawhney, A Wadhwa, S Agarwal, R Shah Proceedings of the 16th conference of the european chapter of the …, 2021 | 47 | 2021 |
An object detection approach for detecting damages in heritage sites using 3-D point clouds and 2-D visual data R Pathak, A Saini, A Wadhwa, H Sharma, D Sangwan Journal of Cultural Heritage 48, 74-82, 2021 | 44 | 2021 |
Exploring the scale-free nature of stock markets: Hyperbolic graph learning for algorithmic trading R Sawhney, S Agarwal, A Wadhwa, R Shah Proceedings of the Web Conference 2021, 11-22, 2021 | 43 | 2021 |
Quantitative day trading from natural language using reinforcement learning R Sawhney, A Wadhwa, S Agarwal, R Shah Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 22 | 2021 |
GPolS: A contextual graph-based language model for analyzing parliamentary debates and political cohesion R Sawhney, A Wadhwa, S Agarwal, R Shah Proceedings of the 28th International Conference on Computational …, 2020 | 21 | 2020 |
Comparative assessment of regression techniques for wind power forecasting R Pathak, A Wadhwa, P Khetarpal, N Kumar IETE Journal of Research 69 (3), 1393-1402, 2023 | 14 | 2023 |
Hyperbolic online time stream modeling R Sawhney, S Agarwal, M Thakkar, A Wadhwa, RR Shah Proceedings of the 44th International ACM SIGIR conference on research and …, 2021 | 13 | 2021 |
Modeling Financial Uncertainty with Multivariate Temporal Entropy-based Curriculums R Sawhney, A Wadhwa, A Mangal, V Mittal, S Agarwal, RR Shah Uncertainty in Artificial Intelligence (UAI) 2021, 1671-1681, 0 | 4* | |
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates R Sawhney, S Agarwal, A Wadhwa, RR Shah Proceedings of the Thirtieth International Joint Conference on Artificial …, 0 | 3* | |