Vincenzo Lomonaco

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 98

Top Venues

Publications

Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven
Continual Learning in the Presence of Repetition. CoRR (2024)
Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco
Calibration of Continual Learning Models. CoRR (2024)
Lanpei Li, Enrico Donato, Vincenzo Lomonaco, Egidio Falotico
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation. CoRR (2024)
Clea Rebillard, Julio Hurtado, Andrii Krutsylo, Lucia C. Passaro, Vincenzo Lomonaco
Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments. CoRR (2024)
Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179 (2024)
Pablo Ferri, Vincenzo Lomonaco, Lucia C. Passaro, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Carlos Sáez, Juan M. García-Gómez
Deep continual learning for medical call incidents text classification under the presence of dataset shifts. Comput. Biol. Medicine 175 (2024)
Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu
I Know How: Combining Prior Policies to Solve New Tasks. CoRR (2024)
Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598 (2024)
Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu
Adaptive Hyperparameter Optimization for Continual Learning Scenarios. CoRR (2024)
Eli Verwimp, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning: Applications and the Road Forward. CoRR (2023)
Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR (2023)
Julio Hurtado, Dario Salvati, Rudy Semola, Mattia Bosio, Vincenzo Lomonaco
Continual learning for predictive maintenance: Overview and challenges. Intell. Syst. Appl. 19 (2023)
Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, Andrea Cossu
Deep Continual Learning (Dagstuhl Seminar 23122). Dagstuhl Reports 13 (3) (2023)
Julio Hurtado, Dario Salvati, Rudy Semola, Mattia Bosio, Vincenzo Lomonaco
Continual Learning for Predictive Maintenance: Overview and Challenges. CoRR (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoLLAs (2023)
Angelo Trotta, Marta Ziosi, Vincenzo Lomonaco
The future of ethics in AI: challenges and opportunities. AI Soc. 38 (2) (2023)
Lorenzo Pellegrini, Davide Maltoni, Gabriele Graffieti, Vincenzo Lomonaco, Lisa Mazzini, Marco Mondardini, Milena Zappoli
A weakly supervised approach for recycling code recognition. Expert Syst. Appl. 215 (2023)
Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR (2023)
Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Vincenzo Lomonaco
Generative negative replay for continual learning. Neural Networks 162 (2023)
Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
Partial Hypernetworks for Continual Learning. CoRR (2023)
Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein
Design Principles for Lifelong Learning AI Accelerators. CoRR (2023)
Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu
Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. ICASSP Workshops (2023)
Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco
In-context Interference in Chat-based Large Language Models. CoRR (2023)
Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) (2023)
Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning. CoRR (2023)
Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
Partial Hypernetworks for Continual Learning. CoLLAs (2023)
Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops (2023)
Luigi Quarantiello, Simone Marzeddu, Antonio Guzzi, Vincenzo Lomonaco
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents. CoRR (2023)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoRR (2023)
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu
Memory Population in Continual Learning via Outlier Elimination. ICCV (Workshops) (2023)
Felipe del Río, Julio Hurtado, Cristian Buc, Alvaro Soto, Vincenzo Lomonaco
Studying Generalization on Memory-Based Methods in Continual Learning. CoRR (2023)
Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CI4PM/PAI@WCCI (2022)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. CoRR (2022)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303 (2022)
Chuanlin Lan, Fan Feng, Qi Liu, Qi She, Qihan Yang, Xinyue Hao, Ivan Mashkin, Ka Shun Kei, Dong Qiang, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan
Towards lifelong object recognition: A dataset and benchmark. Pattern Recognit. 130 (2022)
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5 (2022)
Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CoRR (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops (2022)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops (2022)
Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco
Avalanche RL: a Continual Reinforcement Learning Library. CoRR (2022)
Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu
It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. CoRR (2022)
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-based Continual Learning Methods. CoRR (2022)
Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR (2022)
Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR (2022)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. ESANN (2022)
Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR (2022)
Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Avalanche RL: A Continual Reinforcement Learning Library. ICIAP (1) (2022)
Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Vincenzo Lomonaco
Generative Negative Replay for Continual Learning. CoRR (2022)
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143 (2021)
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. ESANN (2021)
Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CSSL (2021)
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, 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 Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR (2021)
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
Is Class-Incremental Enough for Continual Learning? CoRR (2021)
Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CoRR (2021)
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL (2021)
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, 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 Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS (2021)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CoRR (2021)
Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. ESANN (2021)
Andrea Cossu, Marta Ziosi, Vincenzo Lomonaco
Sustainable Artificial Intelligence through Continual Learning. CoRR (2021)
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR (2021)
Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. CoRR (2021)
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
German Ignacio Parisi, Vincenzo Lomonaco
Online Continual Learning on Sequences. CoRR (2020)
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. CVPR Workshops (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. CoRR (2020)
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
Efficient continual learning in neural networks with embedding regularization. Neurocomputing 397 (2020)
Heechul Bae, Eoin Brophy, Rosa H. M. 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 Ignacio 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
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27 (2) (2020)
Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. ICRA (2020)
Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni
Latent Replay for Real-Time Continual Learning. IROS (2020)
Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni
Continual Reinforcement Learning in 3D Non-stationary Environments. CVPR Workshops (2020)
Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR (2020)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR (2020)
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf. Fusion 58 (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. SiPS (2020)
Davide Maltoni, Vincenzo Lomonaco
Continuous learning in single-incremental-task scenarios. Neural Networks 116 (2019)
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR (2019)
Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan
OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. CoRR (2019)
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
Continual Learning for Robotics. CoRR (2019)
Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni
Continual Reinforcement Learning in 3D Non-stationary Environments. CoRR (2019)
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
Fine-Grained Continual Learning. CoRR (2019)
Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni
Latent Replay for Real-Time Continual Learning. CoRR (2019)
German Ignacio Parisi, Vincenzo Lomonaco
Online Continual Learning on Sequences. INNSBDDL (Tutorials) (2019)
Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi, Juan de Dios Yáñez Ávila, Natalia Díaz Rodríguez
Intelligent Drone Swarm for Search and Rescue Operations at Sea. CoRR (2018)
Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi
Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity. CoRR (2018)
Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni
Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR (2018)
Davide Maltoni, Vincenzo Lomonaco
Continuous Learning in Single-Incremental-Task Scenarios. CoRR (2018)
Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi
Custom Dual Transportation Mode Detection By Smartphone Devices Exploiting Sensor Diversity. PerCom Workshops (2018)
Vincenzo Lomonaco, Davide Maltoni
CORe50: a New Dataset and Benchmark for Continuous Object Recognition. CoRR (2017)
Vincenzo Lomonaco, Davide Maltoni
CORe50: a New Dataset and Benchmark for Continuous Object Recognition. CoRL (2017)
Davide Maltoni, Vincenzo Lomonaco
Semi-supervised tuning from temporal coherence. ICPR (2016)
Daniel Russo, Vincenzo Lomonaco, Paolo Ciancarini
A Machine Learning Approach for Continuous Development. SEDA (2016)
Vincenzo Lomonaco, Davide Maltoni
Comparing Incremental Learning Strategies for Convolutional Neural Networks. ANNPR (2016)
Davide Maltoni, Vincenzo Lomonaco
Semi-supervised Tuning from Temporal Coherence. CoRR (2015)
Vincenzo Lomonaco, Riccardo Martoglia, Federica Mandreoli, Laura Anderlucci, Warren Emmett, Silvio Bicciato, Cristian Taccioli
UCbase 2.0: ultraconserved sequences database (2014 update). Database J. Biol. Databases Curation 2014 (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vincenzo Lomonaco