| Learning to form skill-based teams of experts R Hamidi Rad, H Fani, M Kargar, J Szlichta, E Bagheri Proceedings of the 29th ACM international conference on information …, 2020 | 30 | 2020 |
| Retrieving skill-based teams from collaboration networks R Hamidi Rad, E Bagheri, M Kargar, D Srivastava, J Szlichta Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 29 | 2021 |
| A Variational Neural Architecture for Skill-based Team Formation R Hamidi Rad, H Fani, E Bagheri, M Kargar, D Srivastava, J Szlichta ACM Transactions on Information Systems 42 (1), 1-28, 2023 | 26 | 2023 |
| Hybrid forest: A concept drift aware data stream mining algorithm RH Rad, MA Haeri arXiv preprint arXiv:1902.03609, 2019 | 21 | 2019 |
| Subgraph representation learning for team mining R Hamidi Rad, E Bagheri, M Kargar, D Srivastava, J Szlichta Proceedings of the 14th ACM Web Science Conference 2022, 148-153, 2022 | 15 | 2022 |
| A Neural Approach to Forming Coherent Teams in Collaboration Networks. RH Rad, S Seyedsalehi, M Kargar, M Zihayat, E Bagheri EDBT, 2:440-2:444, 2022 | 13 | 2022 |
| Pytfl: A python-based neural team formation toolkit R Hamidi Rad, A Mitha, H Fani, M Kargar, J Szlichta, E Bagheri Proceedings of the 30th ACM International Conference on Information …, 2021 | 13 | 2021 |
| Noisy perturbations for estimating query difficulty in dense retrievers N Arabzadeh, R Hamidi Rad, M Khodabakhsh, E Bagheri Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 10 | 2023 |
| Quantifying ranker coverage of different query subspaces N Arabzadeh, A Bigdeli, R Hamidi Rad, E Bagheri Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 9 | 2023 |
| DyHNet: Learning dynamic heterogeneous network representations H Nguyen, RH Rad, F Zarrinkalam, E Bagheri Information Sciences 646, 119371, 2023 | 7 | 2023 |
| Learning heterogeneous subgraph representations for team discovery R Hamidi Rad, H Nguyen, F Al-Obeidat, E Bagheri, M Kargar, ... Information Retrieval Journal 26 (1-2), 8, 2023 | 6* | 2023 |
| Pydhnet: a python library for dynamic heterogeneous network representation learning and evaluation H Nguyen, R Hamidi Rad, E Bagheri Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Interactive topic tagging in community question answering platforms R Hamidi Rad, S Cucerzan, N Chandrasekaran, M Gamon European conference on information retrieval, 195-209, 2024 | 1 | 2024 |
| Neural Architectures for Searching Subgraph Structures R Hamidi Rad Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| A Fuzzy Community-Based Recommender System Using PageRank M Goliforoushani, RH Rad, MA Haeri arXiv preprint arXiv:1812.09380, 2018 | 1 | 2018 |
| Robust query performance prediction for dense retrievers via adaptive disturbance generation A Saleminezhad, N Arabzadeh, RH Rad, S Beheshti, E Bagheri Machine Learning 114 (3), 1-23, 2025 | | 2025 |
| Web Science 2024: Conference Chairs' Welcome Message S Staab, LM Aiello, Y Mejova, O Seneviratne, C Sindermann, ... Proceedings of the 16th ACM Web Science Conference, WebSci 2024, III-X, 2024 | | 2024 |
| Recommendation System over Multi-layer Complex Networks: A Wide and Deep Graph Convolutional Neural Network Approach R Hamidi Rad, H ZareMehrjerdi, Y Mirmohammad, MN Shahsavari, ... Proceedings of SAI Intelligent Systems Conference, 447-460, 2023 | | 2023 |
| Neural Ensemble Concept Drift Aware Data Stream Classification RH Rad, MA Haeri Computational Research Progress in Applied Science & Engineering 6 (02), 121-126, 2020 | | 2020 |
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