Publications & talks

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 Robotics.

Selected Works   |   Other Recent Works   |   Complete list of Publications   |   Invited Talks

Selected Works


Lomonaco Vincenzo, Diaz Rodriguez Natalia , Filliat David and Maltoni Davide. Don’t forget, there is more than forgetting: new metrics for Continual Learning. Continual Learning Workshop (NeurIPS 2018).
article | poster | slides ]


Maltoni Davide and Lomonaco Vincenzo. Continuous Learning in Single-Incremental-Task Scenarios, vol. 116, pp. 56-73, Neural Networks, 2019.
arXiv pre-print | article ]


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. Semi-supervised Tuning from Temporal Coherence. 23rd International Conference on Pattern Recognition, 2016.
article |  arXiv extended version | poster ]


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


Lomonaco Vincenzo, Trotta Angelo, Ziosi Marta, De Dios Yáñez Ávila Juan, Díaz-Rodríguez Natalia. Intelligent Drone Swarm for Search and Rescue Operations at Sea. AI for Social Good Workshop (NeurIPS 2018).
[ article ]


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.
[ article ]


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

Invited Talks


Continuous Unsupervised Training of Deep Architectures
Istituto Italiano di Tecnologia (IIT), Genova. 6th July 2017.
[slides]


Continuous Learning with Deep Architectures
Neurala, Boston. 25th March 2017.
[slides]


Continuous Learning with Deep Architectures
Autonomous System and Robotics, ENSTA ParisTech, Paris. 17th May 2018.
[slides]


Continual Learning with Deep Architectures
Computer VISIONers Conference, Kyiv, Ukraine. 6th October 2018.
[slides]


Open-Source Frameworks for Deep Learning: an Overview
Alma Mater Studiorum - University of Bologna, Cesena, Italy. 13th December 2018.
[slides]


Continual/Lifelong Learning with Deep Architectures
Workshop @ Data Science Milan, Milan, italy. 28th january 2019.
[slides]


Open-Source Frameworks for Deep Learning: an Overview
Data Science Bologna @ Musixmatch, Italy. 28th February 2019.
[slides]


Continual Reinforcement Learning in 3D Non-stationary Environments
Computational Science Lab @ UPF, Barcelona, Spain. 29th March 2019.
[slides]


Continual Lifelong Learning with Neural Networks
Tutorial @ INNSBDDL2019, Sestri Levante, Italy. 16th April 2019.
[slides]


Apprendimento Automatico Continuo per la Robotica e l'Intelligenza Artificiale
Codemotion Meetup @ AlmaCube, Bologna.. 4th July 2019.
[slides]


Continual Learning for Robotics
Istituto Italiano di Tecnologia (IIT), Genova. 9th September 2019.
[slides]


Continual Learning: Another Step Towards Truly Intelligent Machines
Numenta, Redwood City, California.. 16th September 2017.
[slides]