| Causal inference for time series analysis: Problems, methods and evaluation R Moraffah, P Sheth, M Karami, A Bhattacharya, Q Wang, A Tahir, ... Knowledge and Information Systems 63, 3041-3085, 2021 | 146 | 2021 |
| Evaluation methods and measures for causal learning algorithms L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu IEEE Transactions on Artificial Intelligence 3 (6), 924-943, 2022 | 77 | 2022 |
| Exploring platform migration patterns between twitter and mastodon: A user behavior study U Jeong, P Sheth, A Tahir, F Alatawi, HR Bernard, H Liu Proceedings of the International AAAI Conference on Web and Social Media 18 …, 2024 | 25 | 2024 |
| Domain Generalization--A Causal Perspective P Sheth, R Moraffah, KS Candan, A Raglin, H Liu arXiv preprint arXiv:2209.15177, 2022 | 24 | 2022 |
| Causal learning for socially responsible AI L Cheng, A Mosallanezhad, P Sheth, H Liu arXiv preprint arXiv:2104.12278, 2021 | 21 | 2021 |
| How reliable are ai-generated-text detectors? an assessment framework using evasive soft prompts T Kumarage, P Sheth, R Moraffah, J Garland, H Liu arXiv preprint arXiv:2310.05095, 2023 | 20 | 2023 |
| Causal disentanglement with network information for debiased recommendations P Sheth, R Guo, K Ding, L Cheng, KS Candan, H Liu International Conference on Similarity Search and Applications, 265-273, 2022 | 18 | 2022 |
| Causal disentanglement for implicit recommendations with network information P Sheth, R Guo, L Cheng, H Liu, KS Candan ACM Transactions on Knowledge Discovery from Data 17 (7), 1-18, 2023 | 15 | 2023 |
| Towards interpretable hate speech detection using large language model-extracted rationales A Nirmal, A Bhattacharjee, P Sheth, H Liu arXiv preprint arXiv:2403.12403, 2024 | 10 | 2024 |
| Causality guided disentanglement for cross-platform hate speech detection P Sheth, R Moraffah, TS Kumarage, A Chadha, H Liu Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 10 | 2024 |
| Peace: Cross-platform hate speech detection-a causality-guided framework P Sheth, T Kumarage, R Moraffah, A Chadha, H Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 10 | 2023 |
| A survey of ai-generated text forensic systems: Detection, attribution, and characterization T Kumarage, G Agrawal, P Sheth, R Moraffah, A Chadha, J Garland, H Liu arXiv preprint arXiv:2403.01152, 2024 | 9 | 2024 |
| Quantifying the echo chamber effect: an embedding distance-based approach F Alatawi, P Sheth, H Liu Proceedings of the International Conference on Advances in Social Networks …, 2023 | 8 | 2023 |
| Stcd: A spatio-temporal causal discovery framework for hydrological systems P Sheth, R Shah, J Sabo, KS Candan, H Liu 2022 IEEE International Conference on Big Data (Big Data), 5578-5583, 2022 | 8 | 2022 |
| Improving vaccine stance detection by combining online and offline data A Tahir, L Cheng, P Sheth, H Liu arXiv preprint arXiv:2208.04491, 2022 | 6 | 2022 |
| Covaxnet: An online-offline data repository for covid-19 vaccine hesitancy research B Jiang, P Sheth, B Li, H Liu arXiv preprint arXiv:2207.01505, 2022 | 6 | 2022 |
| Streams: Towards spatio-temporal causal discovery with reinforcement learning for streamflow rate prediction P Sheth, A Mosallanezhad, K Ding, R Shah, J Sabo, H Liu, KS Candan Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Causal discovery for feature selection in physical process-based hydrological systems P Sheth, T Liu, D Doner, Q Deng, Y Wei, R Muenich, J Sabo, KS Candan, ... 2022 IEEE International Conference on Big Data (Big Data), 5568-5577, 2022 | 4 | 2022 |
| Estimating topic exposure for under-represented users on social media M Karami, A Mosallanezhad, P Sheth, H Liu arXiv preprint arXiv:2208.03796, 2022 | 4 | 2022 |
| CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods KSC Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu 30th ACM International Conference on Information and Knowledge Management, 2021 | 4 | 2021 |
Huan LiuRegents Professor, Arizona State UniversityPotvrđena adresa e-pošte na asu.edu