| Reservoir computing approaches to recurrent neural network training M Lukoševičius, H Jaeger Computer Science Review 3 (3), 127-149, 2009 | 2903 | 2009 |
| A practical guide to applying echo state networks M Lukoševičius Neural Networks: Tricks of the Trade: Second Edition, 659-686, 2012 | 998 | 2012 |
| Optimization and applications of echo state networks with leaky-integrator neurons H Jaeger, M Lukoševičius, D Popovici, U Siewert Neural networks 20 (3), 335-352, 2007 | 970 | 2007 |
| Reservoir computing trends M Lukoševičius, H Jaeger, B Schrauwen KI-Künstliche Intelligenz 26, 365-371, 2012 | 443 | 2012 |
| Overview of reservoir recipes M Lukoševičius, H Jaeger Jacobs University Bremen technical report, 2007 | 56* | 2007 |
| Time warping invariant echo state networks M Lukoševičius, D Popovici, H Jaeger, U Siewert Technical Report, 2006 | 53 | 2006 |
| On self-organizing reservoirs and their hierarchies M Lukoševičius Jacobs University Bremen, Tech. Rep, 2010 | 36 | 2010 |
| Reservoir computing and self-organized neural hierarchies M Lukoševičius School of Engineering and Science, Jacobs University Bremen, 2012 | 35 | 2012 |
| Echo state networks with trained feedbacks M Lukoševičius Technical report, 2007 | 35 | 2007 |
| Noninvasive fetal QRS detection using an echo state network and dynamic programming M Lukoševičius, V Marozas Physiological measurement 35 (8), 1685, 2014 | 25 | 2014 |
| Noninvasive fetal QRS detection using echo state network M Lukoševičius, V Marozas Computing in Cardiology Conference (CinC), 2013, 205-208, 2013 | 24 | 2013 |
| Efficient implementations of echo state network cross-validation M Lukoševičius, A Uselis Cognitive computation, 1-15, 2021 | 21 | 2021 |
| Efficient cross-validation of echo state networks M Lukoševičius, A Uselis Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 21 | 2019 |
| Localized convolutional neural networks for geospatial wind forecasting A Uselis, M Lukoševičius, L Stasytis Energies 13 (13), 3440, 2020 | 15 | 2020 |
| Development of teleconsultations systems for e-health V Marozas, R Jurkonis, A Kazla, M Lukoševičius, A Lukoševičius, ... Studies in health technology and informatics 105, 337-348, 2004 | 15 | 2004 |
| Correcting diacritics and typos with a ByT5 transformer model L Stankevičius, M Lukoševičius, J Kapočiūtė-Dzikienė, M Briedienė, ... Applied Sciences 12 (5), 2636, 2022 | 14 | 2022 |
| Testing pre-trained Transformer models for Lithuanian news clustering L Stankevičius, M Lukoševičius arXiv preprint arXiv:2004.03461, 2020 | 9 | 2020 |
| Reservoir computing approaches to recurrent neural network training. Comp Sci Rev M Lukosevicius, H Jaeger | 5 | 2009 |
| Human Sport Activities Recognition and Registration from Portable Device B Zokas, M Lukoševičius SYSTEM 2018 Symposium for Young Scientists in Technology, Engineering and …, 2018 | 4 | 2018 |
| Self-organized reservoirs and their hierarchies M Lukoševičius Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012 | 4 | 2012 |
Herbert JaegerRijksuniversiteit Groningen, CogniGron CenterVerified email at rug.nl
