Matthia Sabatelli
Matthia Sabatelli
Assistant Professor @ University of Groningen
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Citata da
Citata da
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
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
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
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
Offline handwriting recognition using LSTM recurrent neural networks
Y Shkarupa, R Mencis, M Sabatelli
The 28th Benelux conference on artificial intelligence (BNAIC), 2016
On the transferability of winning tickets in non-natural image datasets
M Sabatelli, M Kestemont, P Geurts
16th International Conference on Computer Vision Theory and Applications …, 2020
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
R Sasso, M Sabatelli, M Wiering
Transactions on Machine Learning Research (TMLR), 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
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
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
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
Safe and psychologically pleasant traffic signal control with reinforcement learning using action masking
A Müller, M Sabatelli
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
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
Transfer learning with style transfer between the photorealistic and artistic domain
N Banar, M Sabatelli, P Geurts, W Daelemans, M Kestemont
IS&T International Symposium on Electronic Imaging. Computer Vision and …, 2021
On the transferability of deep-q networks
M Sabatelli, P Geurts
Deep RL Workshop NeurIPS 2021, 2021
Machine learning students overfit to overfitting
M Valdenegro-Toro, M Sabatelli
The Third Teaching Machine Learning and Artificial Intelligence Workshop, 46-51, 2023
Learning Perceptive Bipedal Locomotion over Irregular Terrain
B van Marum, M Sabatelli, H Kasaei
arXiv preprint arXiv:2304.07236, 2023
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification
V Tonkes, M Sabatelli
Proceedings of the 17th European Conference on Computer Vision (ECCVW 2022 …, 2022
Contributions to Deep Transfer Learning: from Supervised to Reinforcement Learning
M Sabatelli
ULiège-Université de Liège [Science Informatique], Liège, Belgium, 2022
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning
A Müller, M Sabatelli
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
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