• 2021
  • Sasso R., Sabatelli, M., & Wiering, M. (2021, August). “Fractional Transfer Learning for Deep Model-Based Reinforcement Learning”. Arxiv pre-print.
• 2020

  • Sabatelli, M., Kestemont, M. & Geurts, P. (2020, November). “On the Transferability of Winning Tickets in Non-Natural Image Datasets”. 16th International Joint Conference on Computer Vision Theory and Applications (ICCVTA), Wien (AT) - (oral).

  • Sabatelli, M., Louppe, G., Geurts, P., & Wiering, M. (2020, July).“The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms”. International Joint Conference on Neural Networks (IJCNN), Glasgow (SCT) - (oral).

  • Hammond T., Schaap, D.J., Sabatelli, M., & Wiering, M. (2020, July). “Forest Fire Control with Learning from Demonstration and Reinforcement Learning”. International Joint Conference on Neural Networks (IJCNN), Glasgow (SCT) - (poster).

• 2019

  • Sabatelli, M., Louppe, G., Geurts, P., & Wiering, M. (2019, September).“Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms”. 33nd conference on Neural Information Processing Systems (NeurIPS), Deep Reinforcement Learning (RL) Workshop, Vancouver (CA) (poster).

  • Rubens, U., Sabatelli, M., Geurts, P., & Marée R. (2019, September).“Cytomine for digital humanities: remote visualization, sharing, annotation and analysis of large-scale imaging datasets with web technologies and machine/deep learning”. The 6th DH Benelux Conference, Liege (BE) - (demo).

  • Sabatelli, M., Kestemont, M. & Geurts, P. (2019, September).“Improving the Training of Deep Convolutional Neural Networks for Art Classification: from Transfer Learning to Multi-Task Learning”. The 6th DH Benelux Conference, Liege (BE) - (oral).

• 2018

  • Sabatelli, M., Louppe, G., Geurts, P., & Wiering, M. (2018, December). “Deep Quality-Value (DQV) Learning”. 32nd conference on Neural Information Processing Systems (NIPS), Deep Reinforcement Learning (RL) Workshop, Montreal (CA) - (poster).

  • Sabatelli, M., Kestemont, M., Daelemans, W., & Geurts, P. (2018, September). “Deep Transfer Learning for Art Classification Problems.” European Conference on Computer Vision (ECCV), 4th Workshop on Computer VISion for ART Analysis (VISART IV), München (GE) - (oral).

  • Sabatelli, M., Bidoia, F., Codreanu, V., & Wiering, M. (2018, January). “Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead.” The 7th International Conference on Pattern Recognition Applications and Methods, Madeira (PT) - (oral).

  • Bidoia, F., Sabatelli, M., Shantia, A., Wiering, M., & Schomaker, L. (2018, January). “A Deep Convolutional Neural Network for Location Recognition and Geometry Based Information.” The 7th International Conference on Pattern Recognition Applications and Methods, Madeira (PT) - (poster).

• 2017
  • Sabatelli, M. “Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks”, Artificial Intelligence Master’s Thesis, University of Groningen.
• 2016
  • Shkarupa, Y., Mencis, R., & Sabatelli, M. (2016, November). “Offline Handwriting Recognition Using LSTM Recurrent Neural Networks.” The 28th Benelux Conference on Artificial Intelligence November 10-11, 2016, Amsterdam (NL) - (poster).
• 2014
  • Sabatelli, M., Osmani, V., Mayora, O., Gruenerbl, A., & Lukowicz, P. (2014, November). “Correlation of significant places with self-reported state of bipolar disorder patients.” 4th International Conference on Wireless Mobile Communication and Healthcare (pp. 116-119). IEEE, Athens (GR) - (Oral).

The projects I am currently working/have worked on are the following:

• 2018-ongoing
  • INSIGHT: Intelligent neural systems as integrated heritage tools
  • Novel (Deep) Reinforcement Learning Algorithms
• 2017
  • Reinforcement Learning for Playing Games
  • Continuous Learning in Robot Navigation Using Virtual Categorization and Reinforcement Learning
• 2016
  • iGEM 2016

I am also a reviewer for the following conferences:

• NeurIPS 2020 Workshop Machine Learning and the Physical Sciences
• British Conference on Computer Vision BMVC-2020
• European Conference on Computer Vision ECCV-2020
• International Conference on Agents and Artificial Intelligence (ICAART)