| Metagenomic sequencing at the epicenter of the Nigeria 2018 Lassa fever outbreak LE Kafetzopoulou, ST Pullan, P Lemey, MA Suchard, DU Ehichioya, ... Science 363 (6422), 74-77, 2019 | 265 | 2019 |
| Distilling deep reinforcement learning policies in soft decision trees Y Coppens, K Efthymiadis, T Lenaerts, A Nowé, T Miller, R Weber, ... Proceedings of the IJCAI 2019 workshop on explainable artificial …, 2019 | 126 | 2019 |
| Assessment of metagenomic Nanopore and Illumina sequencing for recovering whole genome sequences of chikungunya and dengue viruses directly from clinical samples LE Kafetzopoulou, K Efthymiadis, K Lewandowski, A Crook, D Carter, ... Eurosurveillance 23 (50), 1800228, 2018 | 121 | 2018 |
| Using Plan-Based Reward Shaping To Learn Strategies in StarCraft: Broodwar K Efthymiadis, D Kudenko Computational Intelligence and Games (CIG), 2013 IEEE Conference on, 2013 | 35 | 2013 |
| Graph convolutional networks for improved prediction and interpretability of chromatographic retention data A Kensert, R Bouwmeester, K Efthymiadis, P Van Broeck, G Desmet, ... Analytical Chemistry 93 (47), 15633-15641, 2021 | 24 | 2021 |
| Deep Multi-Agent Reinforcement Learning in a Homogeneous Open Population R Radulescu, M Legrand, K Efthymiadis, DM Roijers, A Nowé | 24 | 2018 |
| Knowledge revision for reinforcement learning with abstract MDPs K Efthymiadis, S Devlin, D Kudenko Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 23 | 2014 |
| Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms A Kensert, G Collaerts, K Efthymiadis, P Van Broeck, G Desmet, ... Journal of Chromatography A 1646, 462093, 2021 | 22 | 2021 |
| SWAT: seamless web authentication technology F Rochet, K Efthymiadis, FÃ Koeune, O Pereira The World Wide Web Conference, 1579-1589, 2019 | 21 | 2019 |
| Deep learning for biosignal control: Insights from basic to real-time methods with recommendations A Dillen, D Steckelmacher, K Efthymiadis, K Langlois, A De Beir, ... Journal of Neural Engineering 19 (1), 011003, 2022 | 20 | 2022 |
| Convolutional neural network for automated peak detection in reversed-phase liquid chromatography A Kensert, E Bosten, G Collaerts, K Efthymiadis, P Van Broeck, G Desmet, ... Journal of Chromatography A 1672, 463005, 2022 | 15 | 2022 |
| Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography A Kensert, G Collaerts, K Efthymiadis, G Desmet, D Cabooter Journal of Chromatography A 1638, 461900, 2021 | 15 | 2021 |
| Application of evolutionary algorithms to optimise one-and two-dimensional gradient chromatographic separations B Huygens, K Efthymiadis, A Nowé, G Desmet Journal of Chromatography A 1628, 461435, 2020 | 14 | 2020 |
| Overcoming Incorrect Knowledge in Plan-Based Reward Shaping K Efthymiadis, S Devlin, D Kudenko In Proceedings of the AAMAS Workshop on Adaptive and Learning Agents (ALA), 2012 | 12* | 2012 |
| A Comparison of Plan-Based and Abstract MDP Reward Shaping K Efthymiadis, D Kudenko | 9 | 2013 |
| Overcoming erroneous domain knowledge in plan-based reward shaping K Efthymiadis, S Devlin, D Kudenko Proceedings of the 2013 international conference on autonomous agents and …, 2013 | 8 | 2013 |
| Ltlf-based reward shaping for reinforcement learning M Elbarbari, K Efthymiadis, B Vanderborght, A Nowé Adaptive and Learning Agents Workshop 2021, 2021 | 7 | 2021 |
| Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands. W Röpke, R Radulescu, K Efthymiadis, A Nowé Bnaic/benelearn, 2019 | 7 | 2019 |
| A framework for flexibly guiding learning agents M Elbarbari, F Delgrange, I Vervlimmeren, K Efthymiadis, B Vanderborght, ... Neural Computing and Applications, 1-17, 2022 | 3 | 2022 |
| When Are Graph Neural Networks Better Than Structure-Agnostic Methods? D Gomes, F Ruelens, K Efthymiadis, A Nowe, P Vrancx I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022 | 2 | 2022 |
Nowe AnnGewoon hoogleraarVerified email at vub.be
