An Unsupervised Training Connectionist Network with Lateral Inhibition. - Levente Kocsis; Nicolae B. Szirbik (IEA/AIE (Vol. 2), 1998)

Learning Time Allocation Using Neural Networks. - Levente Kocsis; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (Computers and Games, 2000)

Move Ordering Using Neural Networks. - Levente Kocsis; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (IEA/AIE, 2001)

The Neural MoveMap Heuristic in Chess. - Levente Kocsis; Jos W. H. M. Uiterwijk; Eric O. Postma; H. Jaap van den Herik (Computers and Games, 2002)

Learning in Lines of Action. - Mark H. M. Winands; Levente Kocsis; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (GAME-ON, 2002)

Two Learning Algorithms for Forward Pruning. - Levente Kocsis; H. Jaap van den Herik; Jos W. H. M. Uiterwijk (J. Int. Comput. Games Assoc., 2003)

RSPSA: Enhanced Parameter Optimization in Games. - Levente Kocsis; Csaba Szepesvári; Mark H. M. Winands (ACG, 2006)

Bandit Based Monte-Carlo Planning. - Levente Kocsis; Csaba Szepesvári (ECML, 2006)

Universal parameter optimisation in games based on SPSA. - Levente Kocsis; Csaba Szepesvári (Mach. Learn., 2006)

Continuous Time Associative Bandit Problems. - András György 001; Levente Kocsis; Ivett Szabó; Csaba Szepesvári (IJCAI, 2007)

Transpositions and move groups in Monte Carlo tree search. - Benjamin E. Childs; James H. Brodeur; Levente Kocsis (CIG, 2008)

Efficient Multi-Start Strategies for Local Search Algorithms. - András György 001; Levente Kocsis (J. Artif. Intell. Res., 2011)

The grand challenge of computer Go: Monte Carlo tree search and extensions. - Sylvain Gelly; Levente Kocsis; Marc Schoenauer; Michèle Sebag; David Silver; Csaba Szepesvári; Olivier Teytaud (Commun. ACM, 2012)

BoostingTree: parallel selection of weak learners in boosting, with application to ranking. - Levente Kocsis; András György 001; Andrea N. Bán (Mach. Learn., 2013)

Fully distributed robust singular value decomposition. - István Hegedüs; Márk Jelasity; Levente Kocsis; András A. Benczúr (P2P, 2014)

Exploiting temporal influence in online recommendation. - Róbert Pálovics; András A. Benczúr; Levente Kocsis; Tamás Kiss; Erzsébet Frigó (RecSys, 2014)

Location-Aware Online Learning for Top-k Hashtag Recommendation. - Róbert Pálovics; Peter Szalai; Levente Kocsis; Júlia Pap; Erzsébet Frigó; András A. Benczúr (LocalRec@RecSys, 2015)

Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization. - Róbert Pálovics; Peter Szalai; Levente Kocsis; Adrienn Szabó; Erzsébet Frigó; Júlia Pap; Zsófia K. Nyikes; András A. Benczúr (RecSys Challenge, 2015)

Robust Decentralized Low-Rank Matrix Decomposition. - István Hegedüs; Árpád Berta; Levente Kocsis; András A. Benczúr; Márk Jelasity (ACM Trans. Intell. Syst. Technol., 2016)

Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. - Erzsébet Frigó; Róbert Pálovics; Domokos Kelen; Levente Kocsis; András A. Benczúr (RecSys Posters, 2017)

Online Ranking Prediction in Non-stationary Environments. - Erzsébet Frigó; Róbert Pálovics; Domokos Kelen; Levente Kocsis; András A. Benczúr (RecTemp@RecSys, 2017)

Location-aware online learning for top-k recommendation. - Róbert Pálovics; Peter Szalai; Júlia Pap; Erzsébet Frigó; Levente Kocsis; András A. Benczúr (Pervasive Mob. Comput., 2017)

Online Machine Learning in Big Data Streams. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (CoRR, 2018)

Online ranking combination. - Erzsébet Frigó; Levente Kocsis (RecSys, 2019)

Online Machine Learning Algorithms over Data Streams. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Online Machine Learning in Big Data Streams: Overview. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Recommender Systems Over Data Streams. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Online convex combination of ranking models. - Erzsébet Frigó; Levente Kocsis (User Model. User Adapt. Interact., 2022)