Publications

📚Publications
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2021
​International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin. IJCAI Workshop on Continual Semi-Supervised Learning, 2021.
​TEACHING: Trustworthy Autonomous Cyber-physical Applications through Human-Centred Intelligence. Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassara, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabò, Jakob Valtl, Iraklis Varlamis, Omar Veledar. IEEE COINS, 2021.
​Continual Learning at the Edge: Real-Time Training on Smartphone Devices. Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni. European Symposium on Artificial Neural Networks (ESANN), 2021.
​Continual Learning with Echo State Networks. Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco. European Symposium on Artificial Neural Networks (ESANN), 2021.
​Avalanche: an End-to-End Library for Continual Learning. Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni. Continual Learning in Computer Vision Workshop at CVPR, 2021.
​Distilled Replay: Overcoming Forgetting through Synthetic Samples. Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu. IJCAI Workshop on Continual Semi-Supervised Learning, 2021.
​Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu. Elsevier Neural Networks Journal, 2021.
2020
​CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni. arXiv preprint arXiv:2009.09929, 2020.
​Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node.  Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini. 2020 IEEE International Workshop on Signal Processing Systems Search form Search (SiPS), 2020.
​IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [competitions]. Heechul Bae, Eoin Brophy, Rosa HM Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German I Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, Liguang Zhou. IEEE Robotics & Automation Magazine, 2020.
​Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges. Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz-Rodríguez. Information Fusion, 2020.
​Online Continual Learning on Sequences. German I Parisi, Vincenzo Lomonaco. Studies in Computational Intelligence, 2020.
​Efficient Continual Learning in Neural Networks with Embedding Regularization, Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini. Neurocomputing, 2020.
2019
​Latent Replay for Real-Time Continual Learning. Lorenzo Pellegrini, Gabrile Graffieti, Vincenzo Lomonaco, Davide Maltoni. International Conference on Intelligent Robots and Systems (IROS), 2019.
​OpenLORIS-Object: A Dataset and Benchmark Towards Lifelong Object Recognition. Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa HM Chan. International Conference on Robotics and Automation (ICRA), 2019.
​Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini. Continual Learning Workshop at CVPR, 2019.
​Continual Reinforcement Learning in 3D Non-stationary Environments. V. Lomonaco, K. Desai, E. Culurciello, D. Maltoni. Continual Learning Workshop at CVPR, 2019.
​Continuous Learning in Single-Incremental-Task Scenarios. D. Maltoni, V. Lomonaco. Elsevier Neural Networks Journal, 2019.
​Continual Learning with Deep Architectures. V. Lomonaco. University of Bologna, PhD Thesis, 2019.
2018
​Intelligent Drone Swarm for Search and Rescue Operations at Sea. V. Lomonaco, A. Trotta, M. Ziosi, JDY Ávila, N. Díaz-Rodríguez. AI for Social Good Workshop at NeurIPS, 2018.
​Don't Forget, There is More than Forgetting: new Metrics for Continual Learning. N. Díaz-Rodríguez, V. Lomonaco, D. Filliat, D. Maltoni. Continual Learning Workshop at NeurIPS, 2018.
​Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity. Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi. IEEE International Conference on Pervasive Computing and Communications Workshops, 2018.
2017
​CORe50: a new Dataset and Benchmark for Continuous Object Recognition. V. Lomonaco, D. Maltoni. Conference on Robot Learning (CoRL), 2017.
2016
​Semi-Supervised Tuning from Temporal Coherence. D. Maltoni, V. Lomonaco. 23rd International Conference on Pattern Recognition (ICPR), 2016.
​Comparing Incremental Learning Strategies for Convolutional Neural Networks. V. Lomonaco, D. Maltoni. IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 2016.
​A Machine Learning Approach for Continuous Development. Daniel Russo, Vincenzo Lomonaco, Paolo Ciancarini. International Conference in Software Engineering for Defence Applications, 2016.
2015
​Deep Learning for Computer Vision: a Comparison Between Convolutional Neural Networks and Hierarchical Temporal Memories on Object Recognition Tasks. V. Lomonaco. Master Thesis, University of Bologna, 2015.
2014
​UCbase 2.0: Ultraconserved Sequences Database (2014 update). V. Lomonaco, R. Martoglia, F. Mandreoli, L. Anderlucci, W. Emmett, et al. Database: The Journal of Biological Databases and Curation, 2014.
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📚Publications