Stefano Melacci

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 94

Top Venues

CoRR

IJCNN

IEEE Trans. Neural Networks Learn. Syst.

AAAI

Publications

Matteo Tiezzi, Michele Casoni, Alessandro Betti, Tommaso Guidi, Marco Gori, Stefano Melacci
On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. CoRR (2024)
Luca Salvatore Lorello, Marco Lippi, Stefano Melacci
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns. CoRR (2024)
Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi
Neural Time-Reversed Generalized Riccati Equation. AAAI (2024)
Stefano Melacci, Achille Globo, Leonardo Rigutini
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources. CoRR (2024)
Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. CoRR (2024)
Achille Globo, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini, Marco Maggini, Stefano Melacci
Neural paraphrasing by automatically crawled and aligned sentence pairs. CoRR (2024)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars
Continual Learning with Pretrained Backbones by Tuning in the Input Space. IJCNN (2023)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars
Continual Learning with Pretrained Backbones by Tuning in the Input Space. CoRR (2023)
Marco Gori, Stefano Melacci
Collectionless Artificial Intelligence. CoRR (2023)
Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori
Local propagation of visual stimuli in focus of attention. Neurocomputing 560 (2023)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. Artif. Intell. 314 (2023)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. NeSy (2023)
Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi
Neural Time-Reversed Generalized Riccati Equation. CoRR (2023)
Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. AI*IA (2023)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. CoLLAs (2022)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Alessandro Betti, Marco Gori, Stefano Melacci
Deep Learning to See: Towards New Foundations of Computer Vision. CoRR (2022)
Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. CoRR (2022)
Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci
Foveated Neural Computation. ECML/PKDD (3) (2022)
Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. CoRR (2022)
Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. IJCAI (2022)
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
Concept Embedding Models. CoRR (2022)
Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. ICMLA (2022)
Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci
Continual Learning through Hamilton Equations. CoLLAs (2022)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. AAAI (2022)
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
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS (2022)
Andrea Panizza, Szymon Tomasz Stefanek, Stefano Melacci, Giacomo Veneri, Marco Gori
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors. CoRR (2022)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
Entropy-Based Logic Explanations of Neural Networks. AAAI (2022)
Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini
Generate and Revise: Reinforcement Learning in Neural Poetry. IJCNN (2021)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
Logic Explained Networks. CoRR (2021)
Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CoRR (2021)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. CoRR (2021)
Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori, Stefano Melacci
Visual Features and Their Own Optical Flow. Frontiers Artif. Intell. 4 (2021)
Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini
Generate and Revise: Reinforcement Learning in Neural Poetry. CoRR (2021)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. CoRR (2021)
Lisa Graziani, Marco Gori, Stefano Melacci
A language modeling-like approach to sketching. Neural Networks 144 (2021)
Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli
Can machines learn to see without visual databases? CoRR (2021)
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. ICMLA (2021)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. IJCNN (2021)
Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CSSL (2021)
Miguel Fabián Romero Rondón, Dario Zanca, Stefano Melacci, Marco Gori, Lucile Sassatelli
HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality. AIVR (2021)
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. CoRR (2021)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
Entropy-based Logic Explanations of Neural Networks. CoRR (2021)
Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Local Propagation in Constraint-based Neural Network. CoRR (2020)
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
SAILenv: Learning in Virtual Visual Environments Made Simple. ICPR (2020)
Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani
Asynchronous Distributed Learning From Constraints. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Local Propagation in Constraint-based Neural Networks. IJCNN (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR (2020)
Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci
Developing Constrained Neural Units Over Time. IJCNN (2020)
Dario Zanca, Stefano Melacci, Marco Gori
Gravitational Laws of Focus of Attention. IEEE Trans. Pattern Anal. Mach. Intell. 42 (12) (2020)
Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci
Human-Driven FOL Explanations of Deep Learning. IJCAI (2020)
Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori
Wave Propagation of Visual Stimuli in Focus of Attention. CoRR (2020)
Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Focus of Attention Improves Information Transfer in Visual Features. CoRR (2020)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? CoRR (2020)
Alessandro Betti, Marco Gori, Stefano Melacci
Learning visual features under motion invariance. Neural Networks 126 (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI (2020)
Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Focus of Attention Improves Information Transfer in Visual Features. NeurIPS (2020)
Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Dario Zanca, Marco Gori, Stefano Melacci, Alessandra Rufa
Gravitational Models Explain Shifts on Human Visual Attention. CoRR (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR (2020)
Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci
Developing Constrained Neural Units Over Time. CoRR (2020)
Alessandro Betti, Marco Gori, Stefano Melacci
Cognitive Action Laws: The Case of Visual Features. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori
A Constraint-Based Approach to Learning and Explanation. AAAI (2020)
Dario Zanca, Stefano Melacci, Marco Gori
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. IJCNN (2020)
Dario Zanca, Stefano Melacci, Marco Gori
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. CoRR (2020)
Lisa Graziani, Stefano Melacci, Marco Gori
Generating Facial Expressions Associated with Text. ICANN (1) (2020)
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
SAILenv: Learning in Virtual Visual Environments Made Simple. CoRR (2020)
Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. CoRR (2019)
Lisa Graziani, Stefano Melacci, Marco Gori
Jointly Learning to Detect Emotions and Predict Facebook Reactions. ICANN (4) (2019)
Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. CoRR (2019)
Alessandro Betti, Marco Gori, Stefano Melacci
Motion Invariance in Visual Environments. IJCAI (2019)
Alessandro Betti, Marco Gori, Stefano Melacci
Learning Visual Features Under Motion Invariance. CoRR (2019)
Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani
Asynchronous Distributed Learning from Constraints. CoRR (2019)
Lisa Graziani, Stefano Melacci, Marco Gori
Coherence constraints in facial expression recognition. Intelligenza Artificiale 13 (1) (2019)
Achille Globo, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini, Marco Maggini, Stefano Melacci
Neural Paraphrasing by Automatically Crawled and Aligned Sentence Pairs. SNAMS (2019)
Andrea Zugarini, Stefano Melacci, Marco Maggini
Neural Poetry: Learning to Generate Poems Using Syllables. ICANN (4) (2019)
Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. CoRR (2019)
Andrea Zugarini, Stefano Melacci, Marco Maggini
Neural Poetry: Learning to Generate Poems using Syllables. CoRR (2019)
Lisa Graziani, Stefano Melacci, Marco Gori
Jointly Learning to Detect Emotions and Predict Facebook Reactions. CoRR (2019)
Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. ICANN (3) (2018)
Andrea Zugarini, Jérémy Morvan, Stefano Melacci, Stefan Knerr, Marco Gori
Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text. ANNPR (2018)
Lisa Graziani, Stefano Melacci, Marco Gori
The Role of Coherence in Facial Expression Recognition. AI*IA (2018)
Alessandro Betti, Marco Gori, Stefano Melacci
Cognitive Action Laws: The Case of Visual Features. CoRR (2018)
Stefano Melacci, Achille Globo, Leonardo Rigutini
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources. LREC (2018)
Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. ICANN (3) (2018)
Lisa Graziani, Stefano Melacci, Marco Gori
Coherence Constraints in Facial Expression Recognition. CoRR (2018)
Alessandro Betti, Marco Gori, Stefano Melacci
Motion Invariance in Visual Environments. CoRR (2018)
Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28 (1) (2017)
Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
Semantic video labeling by developmental visual agents. Comput. Vis. Image Underst. 146 (2016)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Learning with hard constraints as a limit case of learning with soft constraints. ESANN (2016)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Learning With Mixed Hard/Soft Pointwise Constraints. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
Foundations of Support Constraint Machines. Neural Comput. 27 (2) (2015)
Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci, Marcello Pelillo
En Plein Air Visual Agents. ICIAP (2) (2015)
Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
Learning to see like children: proof of concept. CoRR (2014)
Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
A theoretical framework for supervised learning from regions. Neurocomputing 129 (2014)
Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
On-Line Video Motion Estimation by Invariant Receptive Inputs. CVPR Workshops (2014)
Stefano Melacci, Marco Gori
Learning with Box Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Stefano Melacci, Marco Lippi, Marco Gori, Marco Maggini
Information-Based Learning of Deep Architectures for Feature Extraction. ICIAP (2) (2013)
Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
Variational Foundations of Online Backpropagation. ICANN (2013)

Stefano Melacci.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stefano Melacci