Matthia Sabatelli
Matthia Sabatelli
PhD Computer Science - Machine Learning University of Liège
Verified email at student.rug.nl - Homepage
Title
Cited by
Cited by
Year
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
292018
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
142014
Deep Quality-Value (DQV) Learning
M Sabatelli, G Louppe, P Geurts, MA Wiering
Advances in Neural Information Processing Systems (NeurIPS), Deep …, 2018
92018
Offline handwriting recognition using LSTM recurrent neural networks
Y Shkarupa, R Mencis, M Sabatelli
The 28th Benelux conference on artificial intelligence, 2016
72016
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
52018
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
42018
On the transferability of winning tickets in non-natural image datasets
M Sabatelli, M Kestemont, P Geurts
arXiv preprint arXiv:2005.05232, 2020
22020
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
22017
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
12021
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
12020
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
12019
Improving the training of deep convolutional neural networks for art classification: from transfer learning to multi-task learning
M Sabatelli, M Kestemont, P Geurts
12019
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
arXiv preprint arXiv:2012.12062, 2020
2020
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
2020
Transfer Learning with Style Transfer between the Photorealis-tic and Artistic Domain
N Banar, M Sabatelli, P Geurts, W Daelemans, M Kestemont
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Articles 1–15