Stefano Melacci

Orcid: 0000-0002-0415-0888

According to our database1, Stefano Melacci authored at least 90 papers between 2007 and 2024.

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Bibliography

2024
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns.
CoRR, 2024

On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era.
CoRR, 2024

Neural Time-Reversed Generalized Riccati Equation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Local propagation of visual stimuli in focus of attention.
Neurocomputing, December, 2023

Learning Logic Explanations by Neural Networks.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Collectionless Artificial Intelligence.
CoRR, 2023

Logic Explained Networks.
Artif. Intell., 2023

Continual Learning with Pretrained Backbones by Tuning in the Input Space.
Proceedings of the International Joint Conference on Neural Networks, 2023

Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Deep Learning to See - Towards New Foundations of Computer Vision
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-90986-4, 2022

Deep Constraint-Based Propagation in Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Concept Embedding Models.
CoRR, 2022

Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors.
CoRR, 2022

Deep Learning to See: Towards New Foundations of Computer Vision.
CoRR, 2022

Foveated Neural Computation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Continual Learning through Hamilton Equations.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Entropy-Based Logic Explanations of Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A language modeling-like approach to sketching.
Neural Networks, 2021

Visual Features and Their Own Optical Flow.
Frontiers Artif. Intell., 2021

Can machines learn to see without visual databases?
CoRR, 2021

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Generate and Revise: Reinforcement Learning in Neural Poetry.
Proceedings of the International Joint Conference on Neural Networks, 2021

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier.
Proceedings of the International Joint Conference on Neural Networks, 2021

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2021

2020
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances.
IEEE Trans. Neural Networks Learn. Syst., 2020

Asynchronous Distributed Learning From Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2020

Cognitive Action Laws: The Case of Visual Features.
IEEE Trans. Neural Networks Learn. Syst., 2020

Gravitational Laws of Focus of Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning visual features under motion invariance.
Neural Networks, 2020

Gravitational Models Explain Shifts on Human Visual Attention.
CoRR, 2020

Wave Propagation of Visual Stimuli in Focus of Attention.
CoRR, 2020

Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?
CoRR, 2020

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks.
CoRR, 2020

Local Propagation in Constraint-based Neural Network.
CoRR, 2020

Focus of Attention Improves Information Transfer in Visual Features.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Local Propagation in Constraint-based Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Developing Constrained Neural Units Over Time.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Human-Driven FOL Explanations of Deep Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SAILenv: Learning in Virtual Visual Environments Made Simple.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Generating Facial Expressions Associated with Text.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Lagrangian Approach to Information Propagation in Graph Neural Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Constraint-Based Approach to Learning and Explanation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Coherence constraints in facial expression recognition.
Intelligenza Artificiale, 2019

Neural Paraphrasing by Automatically Crawled and Aligned Sentence Pairs.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Motion Invariance in Visual Environments.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Poetry: Learning to Generate Poems Using Syllables.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Jointly Learning to Detect Emotions and Predict Facebook Reactions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Video Surveillance of Highway Traffic Events by Deep Learning Architectures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

The Role of Coherence in Facial Expression Recognition.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017
Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
Semantic video labeling by developmental visual agents.
Comput. Vis. Image Underst., 2016

Learning with hard constraints as a limit case of learning with soft constraints.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Learning With Mixed Hard/Soft Pointwise Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2015

Foundations of Support Constraint Machines.
Neural Comput., 2015

En Plein Air Visual Agents.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
A theoretical framework for supervised learning from regions.
Neurocomputing, 2014

Learning to see like children: proof of concept.
CoRR, 2014

On-Line Video Motion Estimation by Invariant Receptive Inputs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Constraint Verification With Kernel Machines.
IEEE Trans. Neural Networks Learn. Syst., 2013

Learning with Box Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Information-Based Learning of Deep Architectures for Feature Extraction.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Learning with Hard Constraints.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

On-Line Laplacian One-Class Support Vector Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Variational Foundations of Online Backpropagation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Unsupervised Learning by Minimal Entropy Encoding.
IEEE Trans. Neural Networks Learn. Syst., 2012

Learning from pairwise constraints by Similarity Neural Networks.
Neural Networks, 2012

Information Theoretic Learning for Pixel-Based Visual Agents.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Laplacian Support Vector Machines Trained in the Primal.
J. Mach. Learn. Res., 2011

Support Constraint Machines.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Kernel Methods for Minimum Entropy Encoding.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010
A template-based approach to automatic face enhancement.
Pattern Anal. Appl., 2010

Learning with Convex Constraints.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Semi-supervised clustering using similarity neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Semi-supervised Learning with Constraints for Multi-view Object Recognition.
Proceedings of the Artificial Neural Networks, 2009

2008
Learning Similarity Measures from Pairwise Constraints with Neural Networks.
Proceedings of the Artificial Neural Networks, 2008

Auto Associative Neural Network based Active Shape Models.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

A Neural Network Approach to Similarity Learning.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Representation of Facial Features by Catmull-Rom Splines.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007


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