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Maryam Tavakol
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Year
Factored MDPs for detecting topics of user sessions
M Tavakol, U Brefeld
Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014
822014
Fair classification with counterfactual learning
M Tavakol
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
102020
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
102017
Rating player actions in soccer
U Dick, M Tavakol, U Brefeld
Frontiers in Sports and Active Living 3, 682986, 2021
92021
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
92021
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
82018
Survey on fair reinforcement learning: Theory and practice
P Gajane, A Saxena, M Tavakol, G Fletcher, M Pechenizkiy
arXiv preprint arXiv:2205.10032, 2022
72022
Feature Extraction and Aggregation for Predicting the Euro 2016
M Tavakol, H Zafartavanaelmi, U Brefeld
ECML Workshop of Sport Analysis, 2016
52016
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
42023
Rating continuous actions in spatial multi-agent problems
U Dick, M Tavakol, U Brefeld
42018
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
32023
Distantly Supervised Question Parsing
H Zafar, M Tavakol, J Lehmann
Proceedings of the 2020 conference on ECAI 2020: 24th European Conference on …, 2020
22020
HyperUCB: Hyperparameter Optimization using Contextual Bandits
M Tavakol, S Mair, K Morik
22019
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
22012
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
12023
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation
H Wu, M Tavakol
International Symposium on Intelligent Data Analysis, 365-377, 2022
12022
Entropy-Regularized Model-Based Offline Reinforcement Learning
S Ghandi, M Tavakol
2022
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
A Preference-Based Bandit Framework for Personalized Recommendation
M Tavakol, U Brefeld
DA2PL, 2016
2016
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Articles 1–20