Computational Neuroscience & Machine Learning
- T. Lesort, V. Lomonaco, A. Stoian, D. Maltoni, D. Filliat and N. Díaz-Rodríguez, Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges , Information Fusion, vol.58, pp.52-68, undefined 2020.
- D. Maltoni and V. Lomonaco, Continuous learning in single-incremental-task scenarios , Neural Networks, August 2019. Abstract
- V. Lomonaco, D. Maltoni and L. Pellegrini, Fine-Grained Continual Learning , Technical Report, ArXiv :1907.03799, July 2019. Abstract
- T. Lesort, V. Lomonaco, A. Stoian, D. Maltoni, D. Filliat and N. Díaz-Rodríguez, Continual Learning for Robotics , Technical Report, ArXiv :1907.00182, June 2019. Abstract
- V. Lomonaco, K. Desai, E. Culurciello and D. Maltoni, Continual Reinforcement Learning in 3D Non-stationary Environments , Technical Report, ArXiv :1905.10112, May 2019. Abstract
- D. Maltoni and V. Lomonaco, Continuous Learning in Single-Incremental-Task Scenarios , Technical Report, ArXiv arXiv:1806.08568, January 2019. Abstract
- N. Díaz-Rodríguez, V. Lomonaco, D. Filliat and D. Maltoni, Don't Forget, There is More than Forgetting: new Metrics for Continual Learning , in proceedings Continual Learning Workshop at NeurIPS (NeurIPS2018), Montreal (Canada), December 2018. Abstract
- V. Lomonaco and D. Maltoni, CORe50: a New Dataset and Benchmark for Continuous Object Recognition , in proceedings Conference on Robot Learning (CoRL17), Mountain View (CA), pp.17-26, November 2017. Abstract
- V. Lomonaco and D. Maltoni, CORe50: a New Dataset and Benchmark for Continuous Object Recognition , Technical Report, ArXiv 1705.03550, May 2017. Abstract
- D. Maltoni and V. Lomonaco, Semi-supervised Tuning from Temporal Coherence , in proceedings 23rd International Conference on Pattern Recognition (ICPR16), Cancun, Mexico, December 2016. Abstract
- V. Lomonaco and D. Maltoni, Comparing Incremental Learning Strategies for Convolutional Neural Networks , in proceedings 7th Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR16), Ulm, Germany, September 2016. Abstract
- D. Maltoni and V. Lomonaco, Semi-supervised Tuning from Temporal Coherence , Technical Report, ArXiv 1511.03163, November 2015. Abstract
- E.M. Rehn and D. Maltoni, Incremental Learning by Message Passing in Hierarchical Temporal Memory , Neural Computation, vol.26, no.8, pp.1763-1809, August 2014. Abstract
- D. Maltoni and E.M. Rehn, Incremental Learning by Message Passing in Hierarchical Temporal Memory , in proceedings 5th Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR12), Trento (Italy), pp.24-35, September 2012. Abstract
- D. Maltoni, Pattern Recognition by Hierarchical Temporal Memory , Technical Report, DEIS - University of Bologna technical report, April 2011. Abstract