Adopting a Machine Learning Approach in the Design of Smart Transportation Systems. - Davide Bacciu; Antonio Carta; Stefania Gnesi; Laura Semini (ERCIM News, 2016)

FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering. - Giuseppe Attardi; Antonio Carta; Federico Errica; Andrea Madotto; Ludovica Pannitto (SemEval@ACL, 2017)

An experience in using machine learning for short-term predictions in smart transportation systems. - Davide Bacciu; Antonio Carta; Stefania Gnesi; Laura Semini (J. Log. Algebraic Methods Program., 2017)

Explicit Memorization for Recurrent Neural Networks with Autoencoders. - Antonio Carta (DDC@AI*IA, 2019)

Linear Memory Networks. - Davide Bacciu; Antonio Carta; Alessandro Sperduti (ICANN (1), 2019)

Sequential Sentence Embeddings for Semantic Similarity. - Antonio Carta; Davide Bacciu (SSCI, 2019)

Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. - Andrea Valenti; Antonio Carta; Davide Bacciu (ECAI, 2020)

Continual Learning with Gated Incremental Memories for sequential data processing. - Andrea Cossu; Antonio Carta; Davide Bacciu (IJCNN, 2020)

Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (ECML/PKDD (1), 2020)

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. - Andrea Valenti; Antonio Carta; Davide Bacciu (CoRR, 2020)

Encoding-based Memory Modules for Recurrent Neural Networks. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (CoRR, 2020)

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (CoRR, 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)

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

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. - Antonio Carta; Andrea Cossu; Federico Errica; Davide Bacciu (CoRR, 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)

Encoding-based memory for recurrent neural networks. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (Neurocomputing, 2021)

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

Memorization in Recurrent Neural Networks. - Antonio Carta (2021)

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

Sample Condensation in Online Continual Learning. - Mattia Sangermano; Antonio Carta; Andrea Cossu; Davide Bacciu (IJCNN, 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)

Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding. - Antonio Carta; Giacomo Carfì; Valerio De Caro; Claudio Gallicchio (CI4PM/PAI@WCCI, 2022)

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

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. - Antonio Carta; Andrea Cossu; Federico Errica; Davide Bacciu (Frontiers Artif. Intell., 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)

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

Improving Online Continual Learning Performance and Stability with Temporal Ensembles. - Albin Soutif-Cormerais; Antonio Carta; Joost van de Weijer 001 (CoLLAs, 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)

A Simple Recipe to Meta-Learn Forward and Backward Transfer. - Edoardo Cetin; Antonio Carta; Oya Çeliktutan (ICCV, 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)

Safety and Robustness for Deep Neural Networks: An Automotive Use Case. - Davide Bacciu; Antonio Carta; Claudio Gallicchio; Christoph Schmittner (SAFECOMP Workshops, 2023)

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

GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. - Edoardo Urettini; Daniele Atzeni; Reshawn Ramjattan; Antonio Carta (CIKM, 2024)

Updating knowledge in Large Language Models: an Empirical Evaluation. - Alberto Roberto Marinelli; Antonio Carta; Lucia C. Passaro (EAIS, 2024)

GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. - Edoardo Urettini; Daniele Atzeni; Reshawn J. Ramjattan; Antonio Carta (CoRR, 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)

CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions. - Antonios Makris; Apostolos P. Fournaris; Anita Aghaie; Ioannis Arakas; Anna Maria Anaxagorou; Ioannis Arapakis; Davide Bacciu; Battista Biggio; Georgios Bouloukakis; Stavros Bouras; Arne Bröring; Antonio Carta; et al. (CSR, 2025)

Online Curvature-Aware Replay: Leveraging 2nd Order Information for Online Continual Learning. - Edoardo Urettini; Antonio Carta (CoRR, 2025)

Replay-free Online Continual Learning with Self-Supervised MultiPatches. - Giovanni A. Cignoni; Andrea Cossu; Alex Gomez-Villa; Joost van de Weijer 001; Antonio Carta (CoRR, 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)

CLA: Latent Alignment for Online Continual Self-Supervised Learning. - Giovanni A. Cignoni; Andrea Cossu; Alexandra Gomez-Villa; Joost van de Weijer 001; Antonio Carta (CoRR, 2025)