P. Holloway, D. Kudenko, J. Bell (2018): “Dynamic Selection of Environmental Variables to Improve the Prediction of Aphid Phenology: A Machine Learning Approach”, Ecological Indicators 88.
A. Shpilman, D. Boikiy, M. Plyakova, D. Kudenko, A. Burakov, E. Nadezhdina (2017): “Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks”, Sixteenth International Conference on Machine Learning and Applications (ICMLA).
G. Mason, R. Calinescu, D. Kudenko, A. Banks (2017): “Assured Reinforcement Learning with Formally Verified Abstract Policies”, Ninth International Conference on Agents and Artificial Intelligence (ICAART). [Best Student Paper Award].
K. Efthymiadis, D. Kudenko (2015): "Knowledge Revision for Reinforcement Learning with Abstract MDPs", Fourteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-15).
K. Malialis, D. Kudenko (2015): "Distributed Response to Network Intrusions Using Multi-Agent Reinforcement Learning", Engineering Applications of Artificial Intelligence 41 (May 2015).