Representation of Facial Features by Catmull-Rom Splines. - Marco Maggini; Stefano Melacci; Lorenzo Sarti (CAIP, 2007)

A Neural Network Approach to Similarity Learning. - Stefano Melacci; Lorenzo Sarti; Marco Maggini; Monica Bianchini (ANNPR, 2008)

Auto Associative Neural Network based Active Shape Models. - I. Castelli; Marco Maggini; Stefano Melacci; Lorenzo Sarti (FG, 2008)

Learning Similarity Measures from Pairwise Constraints with Neural Networks. - Marco Maggini; Stefano Melacci; Lorenzo Sarti (ICANN (2), 2008)

Semi-supervised Learning with Constraints for Multi-view Object Recognition. - Stefano Melacci; Marco Maggini; Marco Gori (ICANN (2), 2009)

Semi-supervised clustering using similarity neural networks. - Stefano Melacci; Marco Maggini; Lorenzo Sarti (IJCNN, 2009)

Learning with Convex Constraints. - Marco Gori; Stefano Melacci (ICANN (3), 2010)

A template-based approach to automatic face enhancement. - Stefano Melacci; Lorenzo Sarti; Marco Maggini; Marco Gori (Pattern Anal. Appl., 2010)

Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints. - Stefano Melacci; Marco Gori (AI*IA, 2011)

Kernel Methods for Minimum Entropy Encoding. - Stefano Melacci; Marco Gori (ICMLA (1), 2011)

Support Constraint Machines. - Marco Gori; Stefano Melacci (ICONIP (1), 2011)

Laplacian Support Vector Machines Trained in the Primal. - Stefano Melacci; Mikhail Belkin (J. Mach. Learn. Res., 2011)

Information Theoretic Learning for Pixel-Based Visual Agents. - Marco Gori; Stefano Melacci; Marco Lippi 001; Marco Maggini (ECCV (6), 2012)

Learning from pairwise constraints by Similarity Neural Networks. - Marco Maggini; Stefano Melacci; Lorenzo Sarti (Neural Networks, 2012)

Unsupervised Learning by Minimal Entropy Encoding. - Stefano Melacci; Marco Gori (IEEE Trans. Neural Networks Learn. Syst., 2012)

Variational Foundations of Online Backpropagation. - Salvatore Frandina; Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (ICANN, 2013)

On-Line Laplacian One-Class Support Vector Machines. - Salvatore Frandina; Marco Lippi 001; Marco Maggini; Stefano Melacci (ICANN, 2013)

Learning with Hard Constraints. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (ICANN, 2013)

Information-Based Learning of Deep Architectures for Feature Extraction. - Stefano Melacci; Marco Lippi 001; Marco Gori; Marco Maggini (ICIAP (2), 2013)

Learning with Box Kernels. - Stefano Melacci; Marco Gori (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Constraint Verification With Kernel Machines. - Marco Gori; Stefano Melacci (IEEE Trans. Neural Networks Learn. Syst., 2013)

On-Line Video Motion Estimation by Invariant Receptive Inputs. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (CVPR Workshops, 2014)

Learning to see like children: proof of concept. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (CoRR, 2014)

A theoretical framework for supervised learning from regions. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (Neurocomputing, 2014)

En Plein Air Visual Agents. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci; Marcello Pelillo (ICIAP (2), 2015)

Foundations of Support Constraint Machines. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (Neural Comput., 2015)

Learning With Mixed Hard/Soft Pointwise Constraints. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (IEEE Trans. Neural Networks Learn. Syst., 2015)

Learning with hard constraints as a limit case of learning with soft constraints. - Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti (ESANN, 2016)

Semantic video labeling by developmental visual agents. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (Comput. Vis. Image Underst., 2016)

Editorial: A Successful Year and Looking Forward to 2017 and Beyond. - Haibo He; Robert Haas; Jun Fu; Barbara Hammer; Daniel W. C. Ho; Fakhri Karray; Dhireesha Kudithipudi; José Antonio Lozano 001; Teresa Bernarda Ludermir; Jacek Mandziuk; Stefano Melacci; Antonio Paiva; et al. (IEEE Trans. Neural Networks Learn. Syst., 2017)

The Role of Coherence in Facial Expression Recognition. - Lisa Graziani; Stefano Melacci; Marco Gori (AI*IA, 2018)

Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text. - Andrea Zugarini; Jérémy Morvan; Stefano Melacci; Stefan Knerr; Marco Gori (ANNPR, 2018)

An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. - Giuseppe Marra; Andrea Zugarini; Stefano Melacci; Marco Maggini (ICANN (3), 2018)

Video Surveillance of Highway Traffic Events by Deep Learning Architectures. - Matteo Tiezzi; Stefano Melacci; Marco Maggini; Angelo Frosini (ICANN (3), 2018)

Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources. - Stefano Melacci; Achille Globo; Leonardo Rigutini (LREC, 2018)

Jointly Learning to Detect Emotions and Predict Facebook Reactions. - Lisa Graziani; Stefano Melacci; Marco Gori (ICANN (4), 2019)

Neural Poetry: Learning to Generate Poems Using Syllables. - Andrea Zugarini; Stefano Melacci; Marco Maggini (ICANN (4), 2019)

Motion Invariance in Visual Environments. - Alessandro Betti; Marco Gori; Stefano Melacci (IJCAI, 2019)

Neural Paraphrasing by Automatically Crawled and Aligned Sentence Pairs. - Achille Globo; Antonio Trevisi; Andrea Zugarini; Leonardo Rigutini; Marco Maggini; Stefano Melacci (SNAMS, 2019)

Coherence constraints in facial expression recognition. - Lisa Graziani; Stefano Melacci; Marco Gori (Intelligenza Artificiale, 2019)

A Constraint-Based Approach to Learning and Explanation. - Gabriele Ciravegna; Francesco Giannini; Stefano Melacci; Marco Maggini; Marco Gori (AAAI, 2020)

A Lagrangian Approach to Information Propagation in Graph Neural Networks. - Matteo Tiezzi; Giuseppe Marra; Stefano Melacci; Marco Maggini; Marco Gori (ECAI, 2020)

Generating Facial Expressions Associated with Text. - Lisa Graziani; Stefano Melacci; Marco Gori (ICANN (1), 2020)

SAILenv: Learning in Virtual Visual Environments Made Simple. - Enrico Meloni; Luca Pasqualini; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICPR, 2020)

Human-Driven FOL Explanations of Deep Learning. - Gabriele Ciravegna; Francesco Giannini; Marco Gori; Marco Maggini; Stefano Melacci (IJCAI, 2020)

Developing Constrained Neural Units Over Time. - Alessandro Betti; Marco Gori; Simone Marullo; Stefano Melacci (IJCNN, 2020)

Local Propagation in Constraint-based Neural Networks. - Giuseppe Marra; Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (IJCNN, 2020)

Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. - Dario Zanca; Stefano Melacci; Marco Gori (IJCNN, 2020)

Focus of Attention Improves Information Transfer in Visual Features. - Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (NeurIPS, 2020)

Local Propagation in Constraint-based Neural Network. - Giuseppe Marra; Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (CoRR, 2020)

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. - Matteo Tiezzi; Giuseppe Marra; Stefano Melacci; Marco Maggini (CoRR, 2020)

Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? - Stefano Melacci; Gabriele Ciravegna; Angelo Sotgiu; Ambra Demontis; Battista Biggio; Marco Gori; Fabio Roli (CoRR, 2020)

Wave Propagation of Visual Stimuli in Focus of Attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (CoRR, 2020)

Gravitational Models Explain Shifts on Human Visual Attention. - Dario Zanca; Marco Gori; Stefano Melacci; Alessandra Rufa (CoRR, 2020)

Learning visual features under motion invariance. - Alessandro Betti; Marco Gori; Stefano Melacci (Neural Networks, 2020)

Gravitational Laws of Focus of Attention. - Dario Zanca; Stefano Melacci; Marco Gori (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Cognitive Action Laws: The Case of Visual Features. - Alessandro Betti; Marco Gori; Stefano Melacci (IEEE Trans. Neural Networks Learn. Syst., 2020)

Asynchronous Distributed Learning From Constraints. - Francesco Farina; Stefano Melacci; Andrea Garulli; Antonio Giannitrapani (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. - Marco Maggini; Giuseppe Marra; Stefano Melacci; Andrea Zugarini (IEEE Trans. Neural Networks Learn. Syst., 2020)

HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality. - Miguel Fabián Romero Rondón; Dario Zanca; Stefano Melacci; Marco Gori; Lucile Sassatelli (AIVR, 2021)

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. - Enrico Meloni; Matteo Tiezzi; Luca Pasqualini; Marco Gori; Stefano Melacci (ICMLA, 2021)

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (IJCNN, 2021)

Generate and Revise: Reinforcement Learning in Neural Poetry. - Andrea Zugarini; Luca Pasqualini; Stefano Melacci; Marco Maggini (IJCNN, 2021)

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. - Enrico Meloni; Alessandro Betti; Lapo Faggi; Simone Marullo; Matteo Tiezzi; Stefano Melacci (CSSL, 2021)

Can machines learn to see without visual databases? - Alessandro Betti; Marco Gori; Stefano Melacci; Marcello Pelillo; Fabio Roli (CoRR, 2021)

Visual Features and Their Own Optical Flow. - Alessandro Betti; Giuseppe Boccignone; Lapo Faggi; Marco Gori; Stefano Melacci (Frontiers Artif. Intell., 2021)

A language modeling-like approach to sketching. - Lisa Graziani; Marco Gori; Stefano Melacci (Neural Networks, 2021)

Entropy-Based Logic Explanations of Neural Networks. - Pietro Barbiero; Gabriele Ciravegna; Francesco Giannini; Pietro Lió; Marco Gori; Stefano Melacci (AAAI, 2022)

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (AAAI, 2022)

Continual Learning through Hamilton Equations. - Alessandro Betti; Lapo Faggi; Marco Gori; Matteo Tiezzi; Simone Marullo; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. - Simone Marullo; Matteo Tiezzi; Alessandro Betti; Lapo Faggi; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. - Enrico Meloni; Lapo Faggi; Simone Marullo; Alessandro Betti; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICMLA, 2022)

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. - Matteo Tiezzi; Simone Marullo; Lapo Faggi; Enrico Meloni; Alessandro Betti; Stefano Melacci (IJCAI, 2022)

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. - Mateo Espinosa Zarlenga; Pietro Barbiero; Gabriele Ciravegna; Giuseppe Marra; Francesco Giannini; Michelangelo Diligenti; Zohreh Shams; Frédéric Precioso; Stefano Melacci; Adrian Weller; Pietro Lió; Mateja Jamnik (NeurIPS, 2022)

Foveated Neural Computation. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Enrico Meloni; Lapo Faggi; Marco Gori; Stefano Melacci (ECML/PKDD (3), 2022)

Deep Learning to See: Towards New Foundations of Computer Vision. - Alessandro Betti; Marco Gori; Stefano Melacci (CoRR, 2022)

Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors. - Andrea Panizza; Szymon Tomasz Stefanek; Stefano Melacci; Giacomo Veneri; Marco Gori (CoRR, 2022)

Concept Embedding Models. - Mateo Espinosa Zarlenga; Pietro Barbiero; Gabriele Ciravegna; Giuseppe Marra; Francesco Giannini; Michelangelo Diligenti; Zohreh Shams; Frédéric Precioso; Stefano Melacci; Adrian Weller; Pietro Liò; Mateja Jamnik (CoRR, 2022)

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. - Stefano Melacci; Gabriele Ciravegna; Angelo Sotgiu; Ambra Demontis; Battista Biggio; Marco Gori; Fabio Roli (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Constraint-Based Propagation in Graph Neural Networks. - Matteo Tiezzi; Giuseppe Marra; Stefano Melacci; Marco Maggini (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Learning to See - Towards New Foundations of Computer Vision - Alessandro Betti; Marco Gori; Stefano Melacci (Springer, 2022)

Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. - Alessandro Betti; Gabriele Ciravegna; Marco Gori; Stefano Melacci; Kevin Mottin; Frédéric Precioso (AI*IA, 2023)

Continual Learning with Pretrained Backbones by Tuning in the Input Space. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci; Tinne Tuytelaars (IJCNN, 2023)

Logic Explained Networks. - Gabriele Ciravegna; Pietro Barbiero; Francesco Giannini; Marco Gori; Pietro Liò; Marco Maggini; Stefano Melacci (Artif. Intell., 2023)

Collectionless Artificial Intelligence. - Marco Gori; Stefano Melacci (CoRR, 2023)

Learning Logic Explanations by Neural Networks. - Gabriele Ciravegna; Francesco Giannini; Pietro Barbiero; Marco Gori; Pietro Lio; Marco Maggini; Stefano Melacci (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Local propagation of visual stimuli in focus of attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (Neurocomputing, 2023)

Neural Time-Reversed Generalized Riccati Equation. - Alessandro Betti; Michele Casoni; Marco Gori; Simone Marullo; Stefano Melacci; Matteo Tiezzi (AAAI, 2024)

Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. - Michele Casoni; Tommaso Guidi; Matteo Tiezzi; Alessandro Betti; Marco Gori; Stefano Melacci (ANNPR, 2024)

Task-Incremental Learning on Long Text Sequences. - Natalia Graziuso; Andrea Zugarini; Stefano Melacci (CLiC-it, 2024)

Continual Learning for Unsupervised Concept Bottleneck Discovery. - Luca Salvatore Lorello; Marco Lippi 001; Stefano Melacci (CoLLAs, 2024)

Tomorrow Brings Greater Knowledge: Large Language Models Join Dynamic Temporal Knowledge Graphs. - Christian Di Maio; Andrea Zugarini; Francesco Giannini; Marco Maggini; Stefano Melacci (CoLLAs, 2024)

Memory Head for Pre-Trained Backbones in Continual Learning. - Matteo Tiezzi; Federico Becattini; Simone Marullo; Stefano Melacci (CoLLAs, 2024)

Bridging Continual Learning of Motion and Self-Supervised Representations. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Michele Casoni; Stefano Melacci (ECAI, 2024)

Continual Neural Computation. - Matteo Tiezzi; Simone Marullo; Federico Becattini; Stefano Melacci (ECML/PKDD (2), 2024)

On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. - Matteo Tiezzi; Michele Casoni; Alessandro Betti; Tommaso Guidi; Marco Gori; Stefano Melacci (CoRR, 2024)

State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. - Matteo Tiezzi; Michele Casoni; Alessandro Betti; Marco Gori; Stefano Melacci (CoRR, 2024)

Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm. - Jinwei Zhao; Marco Gori; Alessandro Betti; Stefano Melacci; Hongtao Zhang; Jiedong Liu; Xinhong Hei 001 (CoRR, 2024)

A Unified Framework for Neural Computation and Learning Over Time. - Stefano Melacci; Alessandro Betti; Michele Casoni; Tommaso Guidi; Matteo Tiezzi; Marco Gori (CoRR, 2024)

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases. - Christian Di Maio; Cristian Cosci; Marco Maggini; Valentina Poggioni; Stefano Melacci (CoRR, 2024)

A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning. - Alessandro Betti; Gabriele Ciravegna; Marco Gori; Stefano Melacci; Kevin Mottin; Frédéric Precioso (Intelligenza Artificiale, 2024)

Continual learning of conjugated visual representations through higher-order motion flows. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (Neural Networks, 2025)

Generative System Dynamics in Recurrent Neural Networks. - Michele Casoni; Tommaso Guidi; Alessandro Betti; Stefano Melacci; Marco Gori (CoRR, 2025)

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge. - Luca Salvatore Lorello; Marco Lippi 001; Stefano Melacci (CoRR, 2025)

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning. - Luca Salvatore Lorello; Nikolaos Manginas; Marco Lippi 001; Stefano Melacci (CoRR, 2025)

The KANDY benchmark: Incremental neuro-symbolic learning and reasoning with Kandinsky patterns. - Luca Salvatore Lorello; Marco Lippi 001; Stefano Melacci (Mach. Learn., 2025)