| Factored MDPs for detecting topics of user sessions M Tavakol, U Brefeld Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014 | 88 | 2014 |
| Survey on fair reinforcement learning: Theory and practice P Gajane, A Saxena, M Tavakol, G Fletcher, M Pechenizkiy arXiv preprint arXiv:2205.10032, 2022 | 19 | 2022 |
| Rating player actions in soccer U Dick, M Tavakol, U Brefeld Frontiers in Sports and Active Living 3, 682986, 2021 | 13 | 2021 |
| An actor-critic ensemble aggregation model for time-series forecasting A Saadallah, M Tavakol, K Morik 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2255-2260, 2021 | 13 | 2021 |
| Fair classification with counterfactual learning M Tavakol Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 12 | 2020 |
| Mdp-based itinerary recommendation using geo-tagged social media R Gaonkar, M Tavakol, U Brefeld Advances in Intelligent Data Analysis XVII: 17th International Symposium …, 2018 | 11 | 2018 |
| A unified contextual bandit framework for long-and short-term recommendations M Tavakol, U Brefeld Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 10 | 2017 |
| Matrix factorization with denoising autoencoders for prediction of drug–target interactions SZ Sajadi, MA Zare Chahooki, M Tavakol, S Gharaghani Molecular Diversity 27 (3), 1333-1343, 2023 | 7 | 2023 |
| FastDTI: drug-target interaction prediction using multimodality and transformers M Boezer, M Tavakol, Z Sajadi Proceedings of the northern lights deep learning workshop 4, 2023 | 6 | 2023 |
| Feature Extraction and Aggregation for Predicting the Euro 2016 M Tavakol, H Zafartavanaelmi, U Brefeld ECML Workshop of Sport Analysis, 2016 | 6 | 2016 |
| HyperUCB: Hyperparameter Optimization using Contextual Bandits M Tavakol, S Mair, K Morik | 5 | 2019 |
| Toward robust uncertainty estimation with random activation functions Y Stoyanova, S Ghandi, M Tavakol Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15152 …, 2023 | 4 | 2023 |
| Rating continuous actions in spatial multi-agent problems U Dick, M Tavakol, U Brefeld | 4 | 2018 |
| MuseBar: Alleviating posterior collapse in recurrent VAEs toward music generation H Wu, M Tavakol International Symposium on Intelligent Data Analysis, 365-377, 2022 | 3 | 2022 |
| Distantly Supervised Question Parsing H Zafar, M Tavakol, J Lehmann Proceedings of the 2020 conference on ECAI 2020: 24th European Conference on …, 2020 | 2 | 2020 |
| A distributed Q-learning approach for variable attention to multiple critics M Tavakol, MN Ahmadabadi, M Mirian, M Asadpour Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012 | 2 | 2012 |
| Model-Based Meta-reinforcement Learning for Hyperparameter Optimization J Albrechts, HM Martin, M Tavakol International Conference on Intelligent Data Engineering and Automated …, 2024 | | 2024 |
| Active Reinforcement Learning Sampling Approach to Training YOLOv9 on Synthetic Data KK Iliev, M Tavakol, L Bax | | 2024 |
| Contextual Models for Sequential Recommendation M Tavakol Technische Universität Darmstadt, 2019 | | 2019 |
| Personalized Transaction Kernels for Recommendation using MCTS M Tavakol, T Joppen, U Brefeld, J Fürnkranz | | 2019 |
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
