| A model for time interval learning in the Purkinje cell D Majoral, A Zemmar, R Vicente PLOS Computational Biology 16 (2), e1007601, 2020 | 8 | 2020 |
| Segmenting nuclei in brightfield images with neural networks D Fishman, SO Salumaa, D Majoral, S Peel, J Wildenhain, A Schreiner, ... bioRxiv, 764894, 2019 | 8 | 2019 |
| Do deep reinforcement learning agents model intentions? T Matiisen, A Labash, D Majoral, J Aru, R Vicente arXiv preprint arXiv:1805.06020, 2018 | 8 | 2018 |
| Practical segmentation of nuclei in brightfield cell images with neural networks trained on fluorescently labelled samples D Fishman, SO Salumaa, D Majoral, T Laasfeld, S Peel, J Wildenhain, ... Journal of Microscopy, 2021 | 7 | 2021 |
| STAGETOOL, a novel automated approach for mouse testis histological analysis O Meikar, D Majoral, O Heikkinen, E Valkama, S Leskinen, A Rebane, ... Endocrinology 164 (2), bqac202, 2023 | 1 | 2023 |
| Emergence of adaptive circadian rhythms in deep reinforcement learning A Labash, F Stelzer, D Majoral, RV Zafra International Conference on Machine Learning, 18153-18170, 2023 | | 2023 |
| Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning F Stelzer, D Majoral, R Vicente | | 2023 |
| Do Deep Reinforcement Learning Agents Model Intentions? T Matiisen, A Labash, D Majoral, J Aru, R Vicente Stats 6 (1), 50-66, 2022 | | 2022 |
Raul VicenteProfessor of Data Science, Institute of Computer Science, University of TartuE-mailová adresa ověřena na: ut.ee
