In this page you can give a quick glance at my published works. Most of them are in the context of Continual Deep Learning, the subject of my PhD dissertation, or its application to various contexts such as Internet of Things or Software Engineering.
Maltoni Davide and Lomonaco Vincenzo. Continuous Learning in Single-Incremental-Task Scenarios. Submitted to Neural Networks, Elsevier.
[ arXiv pre-print ]
Lomonaco Vincenzo and Maltoni Davide. CORe50: a New Dataset and Benchmark for Continuous Object Recongition. 1st Annual Conference on Robot Learning, 2017.
[ article | arXiv extended version | poster | video-presentation ]
Lomonaco Vincenzo and Maltoni Davide. Comparing Incremental Learning Strategies for Convolutional Neural Networks. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. Springer International Publishing, 2016.
[ article | poster | slides | video-presentation ]
Other Recent Works
Carpineti Claudia, Lomonaco Vincenzo, Bedogni Luca, Di Felice Marco and Bononi Luciano. Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity. IEEE International Conference on Pervasive Computing and Communications Workshops, 2018.
[ Yet to be published ]
Russo Daniel, Lomonaco Vincenzo and Ciancarini Paolo. A Machine Learning Approach for Continuous Development. Proceedings of 5th International Conference in Software Engineering for Defense Applications, 2018.
[ article ]
Lomonaco Vincenzo et al. UCbase 2.0: ultraconserved sequences database (2014 update). Database 2014 (2014): bau062.
[ article ]
Complete list of Publications
Continuous Unsupervised Training of Deep Architectures
Istituto Italiano di Tecnologia (IIT), Genova. 6th July 2017.