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Maryam Tavakol
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Factored MDPs for detecting topics of user sessions
M Tavakol, U Brefeld
Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014
702014
A unified contextual bandit framework for long-and short-term recommendations
M Tavakol, U Brefeld
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
82017
Mdp-based itinerary recommendation using geo-tagged social media
R Gaonkar, M Tavakol, U Brefeld
International Symposium on Intelligent Data Analysis, 111-123, 2018
52018
Feature Extraction and Aggregation for Predicting the Euro 2016
M Tavakol, H Zafartavanaelmi, U Brefeld
ECML Workshop of Sport Analysis, 2016
42016
Fair Classification with Counterfactual Learning
M Tavakol
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
32020
Rating continuous actions in spatial multi-agent problems
U Dick, M Tavakol, U Brefeld
32018
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
22021
Rating Player Actions in Soccer
U Dick, M Tavakol, U Brefeld
Frontiers in Sports and Active Living, 174, 2021
22021
A distributed Q-learning approach for variable attention to multiple critics
M Tavakol, MN Ahmadabadi, M Mirian, M Asadpour
International Conference on Neural Information Processing, 244-251, 2012
22012
Distantly Supervised Question Parsing
H Zafar, M Tavakol, J Lehmann
Proceedings of the 2020 conference on ECAI 2020: 24th European Conference on …, 2020
12020
HyperUCB: Hyperparameter Optimization using Contextual Bandits
M Tavakol, S Mair, K Morik
12019
Matrix factorization with denoising autoencoders for prediction of drug–target interactions
SZ Sajadi, MA Zare Chahooki, M Tavakol, S Gharaghani
Molecular Diversity, 1-11, 2022
2022
Survey on Fair Reinforcement Learning: Theory and Practice
P Gajane, A Saxena, M Tavakol, G Fletcher, M Pechenizkiy
arXiv preprint arXiv:2205.10032, 2022
2022
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation
H Wu, M Tavakol
International Symposium on Intelligent Data Analysis, 365-377, 2022
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
User Purchase Prediction
D Venugopalan, M Tavakol, U Brefeld
2015
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Artikelen 1–18