| Deep Transfer Learning for Art Classification Problems M Sabatelli, M Kestemont, W Daelemans, P Geurts Proceedings of the European Conference on Computer Vision (ECCV). 2018., 2018 | 50 | 2018 |
| Correlation of significant places with self-reported state of bipolar disorder patients M Sabatelli, V Osmani, O Mayora, A Gruenerbl, P Lukowicz 2014 4th International Conference on Wireless Mobile Communication and …, 2014 | 17 | 2014 |
| Offline handwriting recognition using LSTM recurrent neural networks Y Shkarupa, R Mencis, M Sabatelli The 28th Benelux conference on artificial intelligence, 2016 | 16 | 2016 |
| Deep Quality-Value (DQV) Learning M Sabatelli, G Louppe, P Geurts, MA Wiering Advances in Neural Information Processing Systems (NeurIPS), Deep …, 2018 | 14 | 2018 |
| Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead M Sabatelli, F Bidoia, V Codreanu, M Wiering 7th International Conference on Pattern Recognition Applications and Methods, 2018 | 12 | 2018 |
| The deep quality-value family of deep reinforcement learning algorithms M Sabatelli, G Louppe, P Geurts, MA Wiering 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 10 | 2020 |
| On the transferability of winning tickets in non-natural image datasets M Sabatelli, M Kestemont, P Geurts arXiv preprint arXiv:2005.05232, 2020 | 9 | 2020 |
| A Deep Convolutional Neural Network for Location Recognition and Geometry Based Information F Bidoia, M Sabatelli, S Amirhossein, MA Wiering, L Schomaker 7th International Conference on Pattern Recognition Applications and Methods, 2018 | 7 | 2018 |
| Advances in Digital Music Iconography: Benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain M Sabatelli, N Banar, M Cocriamont, E Coudyzer, K Lasaracina, ... Digital Humanities Quarterly 15 (1), 2021 | 5 | 2021 |
| Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks M Sabatelli, MAM Wiering, V Codreanu University of Groningen - MSc. Artificial Intelligence, 2017 | 5 | 2017 |
| Transfer learning with style transfer between the photorealistic and artistic domain N Banar, M Sabatelli, P Geurts, W Daelemans, M Kestemont Electronic Imaging 2021 (14), 41-1-41-9, 2021 | 4 | 2021 |
| QVMix and QVMix-max: Extending the deep quality-value family of algorithms to cooperative multi-agent reinforcement learning P Leroy, D Ernst, P Geurts, G Louppe, J Pisane, M Sabatelli In AAAI-21 Workshop on Reinforcement Learning in Games, 2020 | 4 | 2020 |
| Fractional transfer learning for deep model-based reinforcement learning R Sasso, M Sabatelli, MA Wiering arXiv preprint arXiv:2108.06526, 2021 | 3 | 2021 |
| Forest Fire Control with Learning from Demonstration and Reinforcement Learning T Hammond, DJ Schaap, M Sabatelli, MA Wiering 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| On the transferability of deep-q networks M Sabatelli, P Geurts arXiv preprint arXiv:2110.02639, 2021 | 2 | 2021 |
| Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning R Sasso, M Sabatelli, M Wiering | 2 | 2021 |
| Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms M Sabatelli, G Louppe, P Geurts, MA Wiering Advances in Neural Information Processing Systems (NeurIPS), Deep …, 2019 | 2 | 2019 |
| Contributions to Deep Transfer Learning: from Supervised to Reinforcement Learning M Sabatelli ULiège-Université de Liège [Science Informatique], Liège, Belgium, 2022 | 1 | 2022 |
| Improving the training of deep convolutional neural networks for art classification: from transfer learning to multi-task learning M Sabatelli, M Kestemont, P Geurts The 6th Digital Humanities (DH) Benelux Conference, 2019 | 1 | 2019 |
| Correlation of significant places with self-reported state of patients with bipolar disorder M Sabatelli, V Osmani, A Grunerbl, P Lukowicz, O Mayora Proceedings of IEEE 4th International Conference on Wireless Mobile …, 2014 | 1 | 2014 |
Pierre GeurtsProfessor of Computer Science, University of Liège, BelgiumEmail verificata su ulg.ac.be
