UCbase 2.0: ultraconserved sequences database (2014 update). - Vincenzo Lomonaco; Riccardo Martoglia; Federica Mandreoli; Laura Anderlucci; Warren Emmett; Silvio Bicciato; Cristian Taccioli (Database J. Biol. Databases Curation, 2014)

Comparing Incremental Learning Strategies for Convolutional Neural Networks. - Vincenzo Lomonaco; Davide Maltoni (ANNPR, 2016)

Semi-supervised tuning from temporal coherence. - Davide Maltoni; Vincenzo Lomonaco (ICPR, 2016)

A Machine Learning Approach for Continuous Development. - Daniel Russo 002; Vincenzo Lomonaco; Paolo Ciancarini (SEDA, 2016)

CORe50: a New Dataset and Benchmark for Continuous Object Recognition. - Vincenzo Lomonaco; Davide Maltoni (CoRL, 2017)

Custom Dual Transportation Mode Detection By Smartphone Devices Exploiting Sensor Diversity. - Claudia Carpineti; Vincenzo Lomonaco; Luca Bedogni; Marco Di Felice; Luciano Bononi (PerCom Workshops, 2018)

Don't forget, there is more than forgetting: new metrics for Continual Learning. - Natalia Díaz Rodríguez; Vincenzo Lomonaco; David Filliat; Davide Maltoni (CoRR, 2018)

Intelligent Drone Swarm for Search and Rescue Operations at Sea. - Vincenzo Lomonaco; Angelo Trotta; Marta Ziosi; Juan de Dios Yáñez Ávila; Natalia Díaz Rodríguez (CoRR, 2018)

Online Continual Learning on Sequences. - German Ignacio Parisi; Vincenzo Lomonaco (INNSBDDL (Tutorials), 2019)

Continual Learning for Robotics. - Timothée Lesort; Vincenzo Lomonaco; Andrei Stoian; Davide Maltoni; David Filliat; Natalia Díaz Rodríguez (CoRR, 2019)

Fine-Grained Continual Learning. - Vincenzo Lomonaco; Davide Maltoni; Lorenzo Pellegrini (CoRR, 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 002; Fei Qiao; Rosa H. M. Chan (CoRR, 2019)

Continuous learning in single-incremental-task scenarios. - Davide Maltoni; Vincenzo Lomonaco (Neural Networks, 2019)

Continual Learning with Deep Architectures. - Vincenzo Lomonaco (2019)

Continual Reinforcement Learning in 3D Non-stationary Environments. - Vincenzo Lomonaco; Karan Desai; Eugenio Culurciello; Davide Maltoni (CVPR Workshops, 2020)

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. - Vincenzo Lomonaco; Davide Maltoni; Lorenzo Pellegrini (CVPR Workshops, 2020)

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. - Qi She; Fan Feng; Xinyue Hao; Qihan Yang; Chuanlin Lan; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; Yao Guo; Yimin Zhang 002; Fei Qiao; Rosa H. M. Chan (ICRA, 2020)

Latent Replay for Real-Time Continual Learning. - Lorenzo Pellegrini; Gabriele Graffieti; Vincenzo Lomonaco; Davide Maltoni (IROS, 2020)

Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. - Leonardo Ravaglia; Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Lorenzo Pellegrini; Vincenzo Lomonaco; Davide Maltoni; Luca Benini (SiPS, 2020)

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Qi She; Fan Feng; Qi Liu 042; Rosa H. M. Chan; Xinyue Hao; Chuanlin Lan; Qihan Yang; Vincenzo Lomonaco; German Ignacio Parisi; Heechul Bae; Eoin Brophy; Baoquan Chen; et al. (CoRR, 2020)

Efficient continual learning in neural networks with embedding regularization. - Jary Pomponi; Simone Scardapane; Vincenzo Lomonaco; Aurelio Uncini (Neurocomputing, 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 (Inf. Fusion, 2020)

IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. - 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; et al. (IEEE Robotics Autom. Mag., 2020)

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 Cassarà; Massimo Coppola; Charalampos Davalas; Patrizio Dazzi; et al. (COINS, 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 M. van de Ven; Martin Mundt; Qi She; et al. (CVPR Workshops, 2021)

Continual Learning with Echo State Networks. - Andrea Cossu; Davide Bacciu; Antonio Carta; Claudio Gallicchio; Vincenzo Lomonaco (ESANN, 2021)

Continual Learning at the Edge: Real-Time Training on Smartphone Devices. - Lorenzo Pellegrini; Vincenzo Lomonaco; Gabriele Graffieti; Davide Maltoni (ESANN, 2021)

Distilled Replay: Overcoming Forgetting Through Synthetic Samples. - Andrea Rosasco; Antonio Carta; Andrea Cossu; Vincenzo Lomonaco; Davide Bacciu (CSSL, 2021)

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. - Ajmal Shahbaz; Salman Khan 004; Mohammad Asiful Hossain; Vincenzo Lomonaco; Kevin Cannons; Zhan Xu; Fabio Cuzzolin (CSSL, 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 M. van de Ven; Martin Mundt; Qi She; et al. (CoRR, 2021)

Sustainable Artificial Intelligence through Continual Learning. - Andrea Cossu; Marta Ziosi; Vincenzo Lomonaco (CoRR, 2021)

Continual learning for recurrent neural networks: An empirical evaluation. - Andrea Cossu; Antonio Carta; Vincenzo Lomonaco; Davide Bacciu (Neural Networks, 2021)

Ex-Model: Continual Learning from a Stream of Trained Models. - Antonio Carta; Andrea Cossu; Vincenzo Lomonaco; Davide Bacciu (CVPR Workshops, 2022)

Continual Learning for Human State Monitoring. - Federico Matteoni; Andrea Cossu; Claudio Gallicchio; Vincenzo Lomonaco; Davide Bacciu (ESANN, 2022)

Avalanche RL: A Continual Reinforcement Learning Library. - Nicolò Lucchesi; Antonio Carta; Vincenzo Lomonaco; Davide Bacciu (ICIAP (1), 2022)

Practical Recommendations for Replay-Based Continual Learning Methods. - Gabriele Merlin; Vincenzo Lomonaco; Andrea Cossu; Antonio Carta; Davide Bacciu (ICIAP Workshops, 2022)

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. - 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; et al. (PerCom Workshops, 2022)

Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. - Rudy Semola; Vincenzo Lomonaco; Davide Bacciu (CI4PM/PAI@WCCI, 2022)

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. - Vincenzo Lomonaco; Lorenzo Pellegrini; Pau Rodríguez; Massimo Caccia; Qi She; Yu Chen; Quentin Jodelet; Ruiping Wang 001; Zheda Mai; David Vázquez 001; German Ignacio Parisi; Nikhil Churamani; et al. (Artif. Intell., 2022)

Avalanche RL: a Continual Reinforcement Learning Library. - Nicolò Lucchesi; Antonio Carta; Vincenzo Lomonaco (CoRR, 2022)

It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. - Julio Hurtado; Alain Raymond-Saez; Vladimir Araujo; Vincenzo Lomonaco; Davide Bacciu (CoRR, 2022)

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. - Lorenzo Pellegrini; Chenchen Zhu; Fanyi Xiao; Zhicheng Yan 001; Antonio Carta; Matthias De Lange; Vincenzo Lomonaco; Roshan Sumbaly; Pau Rodríguez; David Vázquez 001 (CoRR, 2022)

Is Class-Incremental Enough for Continual Learning? - Andrea Cossu; Gabriele Graffieti; Lorenzo Pellegrini; Davide Maltoni; Davide Bacciu; Antonio Carta; Vincenzo Lomonaco (Frontiers Artif. Intell., 2022)

Towards lifelong object recognition: A dataset and benchmark. - Chuanlin Lan; Fan Feng; Qi Liu 042; Qi She; Qihan Yang; Xinyue Hao; Ivan Mashkin; Ka Shun Kei; Dong Qiang; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; et al. (Pattern Recognit., 2022)

Class-Incremental Learning with Repetition. - Hamed Hemati; Andrea Cossu; Antonio Carta; Julio Hurtado; Lorenzo Pellegrini; Davide Bacciu; Vincenzo Lomonaco; Damian Borth (CoLLAs, 2023)

Partial Hypernetworks for Continual Learning. - Hamed Hemati; Vincenzo Lomonaco; Davide Bacciu; Damian Borth (CoLLAs, 2023)

Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. - Valerio De Caro; Herbert Danzinger; Claudio Gallicchio; Clemens Könczöl; Vincenzo Lomonaco; Mina Marmpena; Sevasti Politi; Omar Veledar; Davide Bacciu (ICASSP Workshops, 2023)

AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. - 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 (ICASSP Workshops, 2023)

Memory Population in Continual Learning via Outlier Elimination. - Julio Hurtado; Alain Raymond-Saez; Vladimir Araujo; Vincenzo Lomonaco; Alvaro Soto; Davide Bacciu (ICCV (Workshops), 2023)

A Comprehensive Empirical Evaluation on Online Continual Learning. - Albin Soutif-Cormerais; Antonio Carta; Andrea Cossu; Julio Hurtado; Vincenzo Lomonaco; Joost van de Weijer 001; Hamed Hemati (ICCV (Workshops), 2023)

Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Gabriele Graffieti; Davide Maltoni (CoRR, 2023)

Studying Generalization on Memory-Based Methods in Continual Learning. - Felipe del Río; Julio Hurtado; Cristian Buc; Alvaro Soto; Vincenzo Lomonaco (CoRR, 2023)

Design Principles for Lifelong Learning AI Accelerators. - 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 (CoRR, 2023)

Avalanche: A PyTorch Library for Deep Continual Learning. - Antonio Carta; Lorenzo Pellegrini; Andrea Cossu; Hamed Hemati; Vincenzo Lomonaco (J. Mach. Learn. Res., 2023)

Deep Continual Learning (Dagstuhl Seminar 23122). - Tinne Tuytelaars; Bing Liu; Vincenzo Lomonaco; Gido van de Ven; Andrea Cossu (Dagstuhl Reports, 2023)

The future of ethics in AI: challenges and opportunities. - Angelo Trotta; Marta Ziosi; Vincenzo Lomonaco (AI Soc., 2023)

A weakly supervised approach for recycling code recognition. - Lorenzo Pellegrini; Davide Maltoni; Gabriele Graffieti; Vincenzo Lomonaco; Lisa Mazzini; Marco Mondardini; Milena Zappoli (Expert Syst. Appl., 2023)

Generative negative replay for continual learning. - Gabriele Graffieti; Davide Maltoni; Lorenzo Pellegrini; Vincenzo Lomonaco (Neural Networks, 2023)

Continual learning for predictive maintenance: Overview and challenges. - Julio Hurtado; Dario Salvati; Rudy Semola; Mattia Bosio; Vincenzo Lomonaco (Intell. Syst. Appl., 2023)

I Know How: Combining Prior Policies to Solve New Tasks. - Malio Li; Elia Piccoli; Vincenzo Lomonaco; Davide Bacciu (CoG, 2024)

Calibration of Continual Learning Models. - Lanpei Li; Elia Piccoli; Andrea Cossu; Davide Bacciu; Vincenzo Lomonaco (CVPR Workshops, 2024)

EMERGE - Emergent Awareness from Minimal Collectives. - Davide Bacciu; Vincenzo Ambriola; Bahador Bahrami; Andrea Ceni; Andrea Cossu; Valerio De Caro; Cosimo Della Santina; Ophelia Deroy; Claudio Gallicchio; Riccardo Guidotti; Sabine Hauert; Simon Jones; et al. (ERF (1), 2024)

In-Context Interference In Chat-Based Large Language Models. - Eric Nuertey Coleman; Julio Hurtado; Vincenzo Lomonaco (ERF (1), 2024)

Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites. - Asli Çelik; Oguzhan Urhan; Andrea Cossu; Vincenzo Lomonaco (ESANN, 2024)

TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. - Valerio De Caro; Christos Chronis; Massimo Coppola; Vincenzo Lomonaco; Claudio Gallicchio; Konstantinos Tserpes; Davide Bacciu (HPDC, 2024)

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation. - Lanpei Li; Enrico Donato; Vincenzo Lomonaco; Egidio Falotico (RoboSoft, 2024)

Deep continual learning for medical call incidents text classification under the presence of dataset shifts. - Pablo Ferri; Vincenzo Lomonaco; Lucia C. Passaro; Antonio Felix de Castro; Purificación Sánchez-Cuesta; Carlos Sáez; Juan M. García-Gómez (Comput. Biol. Medicine, 2024)

Adaptive Hyperparameter Optimization for Continual Learning Scenarios. - Rudy Semola; Julio Hurtado; Vincenzo Lomonaco; Davide Bacciu (CoRR, 2024)

Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments. - Clea Rebillard; Julio Hurtado; Andrii Krutsylo; Lucia C. Passaro; Vincenzo Lomonaco (CoRR, 2024)

Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments. - Federico Giannini; Giacomo Ziffer; Andrea Cossu; Vincenzo Lomonaco (IEEE Intell. Syst., 2024)

LuckyMera: a modular AI framework for building hybrid NetHack agents. - Luigi Quarantiello; Simone Marzeddu; Antonio Guzzi; Vincenzo Lomonaco (Intelligenza Artificiale, 2024)

Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. - Antonio Carta; Andrea Cossu; Vincenzo Lomonaco; Davide Bacciu; Joost van de Weijer 001 (Neurocomputing, 2024)

Continual pre-training mitigates forgetting in language and vision. - Andrea Cossu; Antonio Carta; Lucia C. Passaro; Vincenzo Lomonaco; Tinne Tuytelaars; Davide Bacciu (Neural Networks, 2024)

Continual Learning: Applications and the Road Forward. - 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; et al. (Trans. Mach. Learn. Res., 2024)

Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum. - Lanpei Li; Jack Bell; Massimo Coppola; Vincenzo Lomonaco (PDP, 2025)

Continually learn to map visual concepts to language models in resource-constrained environments. - Clea Rebillard; Julio Hurtado; Andrii Krutsylo; Lucia C. Passaro; Vincenzo Lomonaco (Neurocomputing, 2025)

Continual learning in the presence of repetition. - Hamed Hemati; Lorenzo Pellegrini; Xiaotian Duan; Zixuan Zhao; Fangfang Xia; Marc Masana; Benedikt Tscheschner; Eduardo E. Veas; Yuxiang Zheng; Shiji Zhao; Shao-Yuan Li; Sheng-Jun Huang; et al. (Neural Networks, 2025)

Continual Learning Should Move Beyond Incremental Classification. - Rupert Mitchell; Antonio Alliegro; Raffaello Camoriano; Dustin Carrión-Ojeda; Antonio Carta; Georgia Chalvatzaki; Nikhil Churamani; Carlo D'Eramo; Samin Hamidi; Robin Hesse; Fabian Hinder; Roshni Kamath; et al. (CoRR, 2025)

Parameter-Efficient Continual Fine-Tuning: A Survey. - Eric Nuertey Coleman; Luigi Quarantiello; Ziyue Liu; Qinwen Yang; Samrat Mukherjee; Julio Hurtado; Vincenzo Lomonaco (CoRR, 2025)

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions. - Jack Bell; Luigi Quarantiello; Eric Nuertey Coleman; Lanpei Li; Malio Li; Mauro Madeddu; Elia Piccoli; Vincenzo Lomonaco (CoRR, 2025)

Task-Agnostic Experts Composition for Continual Learning. - Luigi Quarantiello; Andrea Cossu; Vincenzo Lomonaco (CoRR, 2025)

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning. - Elia Piccoli; Malio Li; Giacomo Carfì; Vincenzo Lomonaco; Davide Bacciu (CoRR, 2025)