Segui
Matthia Sabatelli
Matthia Sabatelli
Email verificata su student.rug.nl - Home page
Titolo
Citata da
Citata da
Anno
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
472018
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
182014
Offline handwriting recognition using LSTM recurrent neural networks
Y Shkarupa, R Mencis, M Sabatelli
The 28th Benelux conference on artificial intelligence, 2016
152016
Deep Quality-Value (DQV) Learning
M Sabatelli, G Louppe, P Geurts, MA Wiering
Advances in Neural Information Processing Systems (NeurIPS), Deep …, 2018
132018
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
112018
On the transferability of winning tickets in non-natural image datasets
M Sabatelli, M Kestemont, P Geurts
arXiv preprint arXiv:2005.05232, 2020
92020
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
82020
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
62018
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
52021
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
52017
Fractional transfer learning for deep model-based reinforcement learning
R Sasso, M Sabatelli, MA Wiering
arXiv preprint arXiv:2108.06526, 2021
32021
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
32021
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
32020
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
32020
On The Transferability of Deep-Q Networks
M Sabatelli, P Geurts
arXiv preprint arXiv:2110.02639, 2021
22021
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
22019
Contributions to Deep Transfer Learning: from Supervised to Reinforcement Learning
M Sabatelli
ULiège-Université de Liège [Droit, Science politique et Criminologie], Liège …, 2022
12022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
R Sasso, M Sabatelli, M Wiering
12021
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
12019
Machine Learning Students Overfit to Overfitting
M Valdenegro-Toro, M Sabatelli
arXiv preprint arXiv:2209.03032, 2022
2022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20