Marco Gori

Orcid: 0000-0001-6337-5430

Affiliations:
  • University of Siena


According to our database1, Marco Gori authored at least 307 papers between 1989 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2001, "For contributions to the theory of recurrent neural networks, and applications of neural network-based technologies.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Graph Neural Networks for Graph Drawing.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

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

Nature-Inspired Local Propagation.
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

T-norms driven loss functions for machine learning.
Appl. Intell., August, 2023

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

Graph Neural Networks for Topological Feature Extraction in ECG Classification.
CoRR, 2023

Multitask Kernel-based Learning with First-Order Logic Constraints.
CoRR, 2023

Collectionless Artificial Intelligence.
CoRR, 2023

Logic Explained Networks.
Artif. Intell., 2023

ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Knowledge-Driven Active Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

The WebCrow French Crossword Solver.
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2023

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

Building Bridges of Knowledge: Innovating Education with Automated Crossword Generation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles.
Proceedings of the 9th Italian Conference on Computational Linguistics, Venice, Italy, November 30, 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

Guest Editorial: Non-Euclidean Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Conference Report on 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022).
IEEE Comput. Intell. Mag., 2022

Foveated Neural Computation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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 Learning through Hamilton Equations.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Minimizing Cross Intersections in Graph Drawing via Linear Splines.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 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 Constraint-Based Approach to Learning and Reasoning.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

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

Regularizing deep networks with prior knowledge: A constraint-based approach.
Knowl. Based Syst., 2021

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

Knowledge-driven Active Learning.
CoRR, 2021

Logic Constraints to Feature Importances.
CoRR, 2021

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

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

The Principle of Least Cognitive Action in Vision.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

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

Discrete and Continuous Deep Residual Learning over Graphs.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 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

Clustering-Based Interpretation of Deep ReLU Network.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Logic Constraints to Feature Importance.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
Trees in the Real Field.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

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

Pattern recognition and beyond: Alfredo Petrosino's scientific results.
Pattern Recognit. Lett., 2020

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

Learning visual features under motion invariance.
Neural Networks, 2020

An Optimal Control Approach to Learning in SIDARTHE Epidemic model.
CoRR, 2020

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

An Overview on the Web of Clinical Data.
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

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

Festschrift in honor of Oliviero Stock - - Preface.
Ann. Math. Artif. Intell., 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

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

Inference in relational neural machines.
Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Relational Neural Machines.
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
On a Convex Logic Fragment for Learning and Reasoning.
IEEE Trans. Fuzzy Syst., 2019

Coherence constraints in facial expression recognition.
Intelligenza Artificiale, 2019

Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning.
FLAP, 2019

Backprop Diffusion is Biologically Plausible.
CoRR, 2019

Learning and T-Norms Theory.
CoRR, 2019

Spatiotemporal Local Propagation.
CoRR, 2019

Least Action Principles and Well-Posed Learning Problems.
CoRR, 2019

LYRICS: a General Interface Layer to Integrate AI and Deep Learning.
CoRR, 2019

Typed Graph Networks.
CoRR, 2019

Integrating Learning and Reasoning with Deep Logic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

On the Relation Between Loss Functions and T-Norms.
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019

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

Constraint-Based Visual Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 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

Learning Activation Functions by Means of Kernel Based Neural Networks.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
Backpropagation and Biological Plausibility.
CoRR, 2018

Visual Attention driven by Convolutional Features.
CoRR, 2018

Trees in the Real Field.
CoRR, 2018

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks.
CoRR, 2018

Generalization in quasi-periodic environments.
CoRR, 2018

Convolutional Networks in Visual Environments.
CoRR, 2018

A Constrained-Based Approach to Machine Learning.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

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

What's Wrong with Computer Vision?
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

Image Classification Using Deep Learning and Prior Knowledge.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
LQG Online Learning.
Neural Comput., 2017

Special issue: Selected papers from the 15th International Conference of the Italian Association for Artificial Intelligence.
Intelligenza Artificiale, 2017

The principle of cognitive action - Preliminary experimental analysis.
CoRR, 2017

Collapsing of dimensionality.
CoRR, 2017

Semantic-based regularization for learning and inference.
Artif. Intell., 2017

Learning Semantic-based Structures from Textual Sources.
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017

Learning Łukasiewicz Logic Fragments by Quadratic Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Variational Laws of Visual Attention for Dynamic Scenes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the Role of Time in Learning.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Integrating Prior Knowledge into Deep Learning.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Learning in Variable-Dimensional Spaces.
IEEE Trans. Neural Networks Learn. Syst., 2016

The principle of least cognitive action.
Theor. Comput. Sci., 2016

Neural network training as a dissipative process.
Neural Networks, 2016

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

Learning Efficiently in Semantic Based Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Online learning as an LQG optimal control problem with random matrices.
Proceedings of the 14th European Control Conference, 2015

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

Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381).
Dagstuhl Reports, 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

Learning with Boundary Conditions.
Neural Comput., 2013

Italian Machine Learning and Data Mining research: The last years.
Intelligenza Artificiale, 2013

Experimental Guidelines for Semantic-Based Regularization.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Graph and Manifold Co-regularization.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Collective Classification Using Semantic Based Regularization.
Proceedings of the 12th International Conference on Machine Learning and Applications, 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

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

Bridging logic and kernel machines.
Mach. Learn., 2012

Automatic Generation of Crossword Puzzles.
Int. J. Artif. Intell. Tools, 2012

Balancing Recall and Precision in Stock Market Predictors Using Support Vector Machines.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

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

2011
Neural networks for relational learning: an experimental comparison.
Mach. Learn., 2011

A unified representation of web logs for mining applications.
Inf. Retr., 2011

Computational models for short-term prediction of the stock market.
Intelligenza Artificiale, 2011

On the time complexity of regularized least square.
Proceedings of the Neural Nets WIRN11, 2011

Learning from Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Towards Developmental AI: The paradox of Ravenous Intelligent Agents.
Proceedings of the Seventh International Workshop on Neural-Symbolic Learning and Reasoning, 2011

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

Learning to Tag from Logic Constraints in Hyperlinked Environments.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 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

Learning to Tag Text from Rules and Examples.
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

Perspectives and challenges for recurrent neural network training.
Log. J. IGPL, 2010

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

Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation.
Proceedings of the ECAI 2010, 2010

Multitask Kernel-based Learning with Logic Constraints.
Proceedings of the ECAI 2010, 2010

2009
Computational Capabilities of Graph Neural Networks.
IEEE Trans. Neural Networks, 2009

The Graph Neural Network Model.
IEEE Trans. Neural Networks, 2009

Semantic-based regularization and Piaget's cognitive stages.
Neural Networks, 2009

A hybrid random field model for scalable statistical learning.
Neural Networks, 2009

Users, Queries and Documents: A Unified Representation for Web Mining.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Scalable pseudo-likelihood estimation in hybrid random fields.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Scalable statistical learning: A modular bayesian/markov network approach.
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
A Web-Based Agent Challenges Human Experts on Crosswords.
AI Mag., 2008

Diffusion Learning and Regularization.
Proceedings of the New Directions in Neural Networks, 2008

A Fully Automatic Crossword Generator.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines.
Proceedings of the IJCAI 2007, 2007

An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering.
Proceedings of the IJCAI 2007, 2007

Learning in Hyperlinked Environments.
Proceedings of the Advances in Information Retrieval, 2007

Some Aspects of a Complexity Theory for Continuous Time Systems.
Proceedings of the Computation and Logic in the Real World, 2007

2006
Recursive processing of cyclic graphs.
IEEE Trans. Neural Networks, 2006

Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer.
Neurocomputing, 2006

Artificial Intelligence and Entertainment.
Intelligenza Artificiale, 2006

Research Paper Recommender Systems: A Random-Walk Based Approach.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

A Random-Walk Based Scoring Algorithm Applied to Recommender Engines.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Document Mining Using Graph Neural Network.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

XML Document Mining Using Contextual Self-organizing Maps for Structures.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

A Comparison between Recursive Neural Networks and Graph Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Towards Next Generation CiteSeer: A Flexible Architecture for Digital Library Deployment.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2006

Graph Neural Networks for Object Localization.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Adaptive Context-Based Term (Re)Weighting: An Experiment on Single-Word Question Answering.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Cracking Crosswords: The Computer Challenge.
Proceedings of the Reasoning, 2006

Web Dragons: Inside the Myths of Search Engine Technology
Morgan Kaufmann, ISBN: 0-12-370609-2, 2006

2005
Inside PageRank.
ACM Trans. Internet Techn., 2005

Preface.
Pattern Recognit. Lett., 2005

Artificial Neural Networks for Document Analysis and Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Exact and Approximate Graph Matching Using Random Walks.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

The loading problem for recursive neural networks.
Neural Networks, 2005

The bubble of web visibility.
Commun. ACM, 2005

Recursive Neural Networks and Graphs: Dealing with Cycles.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

Graph Neural Networks for Ranking Web Pages.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Feature Normalization via ANN/HMM Inversion for Speech Recognition Under Noisy Conditions.
Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing, 2005

Webcrow: A Web-Based Crosswords Solver.
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2005

Clustering XML Documents Using Self-organizing Maps for Structures.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

Learning Web Page Scores by Error Back-Propagation.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

The RW2 Algorithm for Exact Graph Matching.
Proceedings of the Pattern Recognition and Data Mining, 2005

A Neural Network Approach to Web Graph Processing.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Solving Italian Crosswords Using the Web.
Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

WebCrow: A Web-Based System for Crossword Solving.
Proceedings of the Proceedings, 2005

2004
Encoding nondeterministic fuzzy tree automata into recursive neural networks.
IEEE Trans. Neural Networks, 2004

A Unified Probabilistic Framework for Web Page Scoring Systems.
IEEE Trans. Knowl. Data Eng., 2004

Neural computation, social networks, and topological spectra.
Theor. Comput. Sci., 2004

MumbleSearch Extraction of High Quality Web information for SME.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Graphical-Based Learning Environments for Pattern Recognition.
Proceedings of the Structural, 2004

Graph matching using Random Walks.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Likely-Admissible and Sub-Symbolic Heuristics.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Robust combination of neural networks and hidden Markov models for speech recognition.
IEEE Trans. Neural Networks, 2003

A Hybrid Model for the Prediction of the Linguistic Origin of Surnames.
IEEE Trans. Knowl. Data Eng., 2003

Similarity learning for graph-based image representations.
Pattern Recognit. Lett., 2003

Using attributed plex grammars for the generation of image and graph databases.
Pattern Recognit. Lett., 2003

Edge-backpropagation for noisy logo recognition.
Pattern Recognit., 2003

Hidden Tree Markov Models for Document Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Searching for web information more efficiently using presentational layout analysis.
Int. J. Electron. Bus., 2003

Analysis and understanding of multi-class invoices.
Int. J. Document Anal. Recognit., 2003

Social networks and web minorities.
Cogn. Syst. Res., 2003

A Simple Focused Crawler.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Detecting Near-replicas on the Web by Content and Hyperlink Analysis.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Face Localization with Recursive Neural Networks.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

PageRank and Web Communities.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

A Learning Algorithm for Web Page Scoring Systems.
Proceedings of the IJCAI-03, 2003

An introduction to learning in web domains.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

BackPropagation through Cyclic Structures.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002
A Step towards a Complexity Theory for Analog Systems.
Math. Log. Q., 2002

Special issue on integration of symbolic and connectionist systems.
Cogn. Syst. Res., 2002

Web page scoring systems for horizontal and vertical search.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Recursive Neural Networks Applied to Discourse Representation Theory.
Proceedings of the Artificial Neural Networks, 2002

Recognition of Common Areas in a Web Page Using a Visualization Approach.
Proceedings of the Artificial Intelligence: Methodology, 2002

2001
Processing directed acyclic graphs with recursive neural networks.
IEEE Trans. Neural Networks, 2001

Theoretical properties of recursive neural networks with linear neurons.
IEEE Trans. Neural Networks, 2001

Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains.
IEEE Trans. Knowl. Data Eng., 2001

Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations.
IEEE Trans. Computers, 2001

Adaptive graphical pattern recognition for the classification of company logos.
Pattern Recognit., 2001

A survey of hybrid ANN/HMM models for automatic speech recognition.
Neurocomputing, 2001

A serial combination of connectionist-based classifiers for OCR.
Int. J. Document Anal. Recognit., 2001

Automatic document classification and indexing in high-volume applications.
Int. J. Document Anal. Recognit., 2001

Recursive Processing of Directed Acyclic Graphs.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Time in Connectionist Models.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Toward noise-tolerant acoustic models.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

APEX An Adaptive Visual Information Retrieval System.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Classification of HTML Documents by Hidden Tree-Markov Models.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Image Document Categorization Using Hidden Tree Markov Models and Structured Representations.
Proceedings of the Advances in Pattern Recognition, 2001

Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model.
Proceedings of the Artificial Neural Networks, 2001

Searching the Web: learning based techniques.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

2000
Using Physical and Logical Constraints for Invoice Understanding.
Pattern Anal. Appl., 2000

Competitive radial basis functions training for phone classification.
Neurocomputing, 2000

Focused Crawling Using Context Graphs.
Proceedings of the VLDB 2000, 2000

Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Computational capabilities of linear recursive networks.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations.
Proceedings of the ECAI 2000, 2000

Learning User Profiles in NAUTILUS.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000

1999
On the implementation of frontier-to-root tree automata in recursive neural networks.
IEEE Trans. Neural Networks, 1999

Data Categorization Using Decision Trellises.
IEEE Trans. Knowl. Data Eng., 1999

Just-in-time landmarks recognition.
Real Time Imaging, 1999

Feature extraction from data structures with unsupervised recursive neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Recurrent neural networks can learn simple, approximate regular languages.
Proceedings of the International Joint Conference Neural Networks, 1999

A connectionist-based model for predicting the linguistic origin of surnames.
Proceedings of the International Joint Conference Neural Networks, 1999

Feature Extraction and Learning Vector Quantization for Data Structures.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

A Voice Device with an Application-Adapted Protocol for Microsoft Windows.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

Structured Document Segmentation and Representation by the Modified X-Y tree.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

A Two Level Knowledge Approach for Understanding Documents of a Multi-Class Domain.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Learning in structured domains.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Neural learning of approximate simple regular languages.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Comments on local minima free conditions in multilayer perceptrons.
IEEE Trans. Neural Networks, 1998

On the closure of the set of functions that can be realized by a given multilayer perceptron.
IEEE Trans. Neural Networks, 1998

Inductive inference from noisy examples using the hybrid finite state filter.
IEEE Trans. Neural Networks, 1998

A general framework for adaptive processing of data structures.
IEEE Trans. Neural Networks, 1998

Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?
IEEE Trans. Pattern Anal. Mach. Intell., 1998

INFORMys: A Flexible Invoice-Like Form-Reader System.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

An Application of ELISA to Perfect Hashing with Deterministic Ordering.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Integration of Graphical Rules with Adaptive Learning of Structured Information.
Proceedings of the Hybrid Neural Systems, 1998

1997
Links between LVQ and Backpropagation.
Pattern Recognit. Lett., 1997

Terminal attractor algorithms: A critical analysis.
Neurocomputing, 1997

The Loading Problem: Topics in Complexity.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

On the Efficient Classification of Data Structures by Neural Networks.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Suspiciousness of loading problems.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Rectangle Labelling for an Invoice Understanding System.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

A Neural-Based Architecture for Spot-Noisy Logo Recognition.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

Logo Recognition by Recursive Neural Networks.
Proceedings of the Graphics Recognition, 1997

Inductive Inference of Tree Automata by Recursive Neural Networks.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

1996
Optimal convergence of on-line backpropagation.
IEEE Trans. Neural Networks, 1996

A neural network-based model for paper currency recognition and verification.
IEEE Trans. Neural Networks, 1996

Computational capabilities of local-feedback recurrent networks acting as finite-state machines.
IEEE Trans. Neural Networks, 1996

Autoassociator-based models for speaker verification.
Pattern Recognit. Lett., 1996

Representation of Finite State Automata in Recurrent Radial Basis Function Networks.
Mach. Learn., 1996

Optimal learning in artificial neural networks: A review of theoretical results.
Neurocomputing, 1996

Decision Trellis Models for Tuple Categorization in Databases.
Proceedings of the Atti del Quarto Convegno Nazionale su Sistemi Evoluti per Basi di Dati (4th National Conference on Advanced Database Systems), 1996

Which classes of functions can a given multilayer perceptron approximate?
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Learning without local minima in radial basis function networks.
IEEE Trans. Neural Networks, 1995

Learning in multilayered networks used as autoassociators.
IEEE Trans. Neural Networks, 1995

Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks.
IEEE Trans. Knowl. Data Eng., 1995

Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach.
Knowl. Based Syst., 1995

A Neural Network-based Software Tool for Number-Plate Recognition.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

Data Extraction from Partially Structured Documents.
Proceedings of the Atti del Terzo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 1995

A system for data extraction from forms of known class.
Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

A Hybrid System for Locating and Recognizing Low Level Graphic Items.
Proceedings of the Graphics Recognition, 1995

Data Extraction from Form Images
Proceedings of the Database and Expert Systems Applications, 1995

1994
On the problem of local minima in recurrent neural networks.
IEEE Trans. Neural Networks, 1994

Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis.
Proceedings of the ICLP 1994 Workshop W3: Logic and Reasoning with Neural Networks, 1994

1993
Backpropagation for linearly-separable patterns: A detailed analysis.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Projecting Sub-symbolic Onto Symbolic Representations in Artificial Neural Networks.
Proceedings of the Advances in Artificial Intelligence, 1993

1992
Learning the dynamic nature of speech with back-propagation for sequences.
Pattern Recognit. Lett., 1992

On the Problem of Local Minima in Backpropagation.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

Local Feedback Multilayered Networks.
Neural Comput., 1992

Phonetic recognition experiments with recurrent neural networks.
Proceedings of the Second International Conference on Spoken Language Processing, 1992

1991
KL: A Neural Model for Capturing Structure in Speech.
Proceedings of the Trends in Artificial Intelligence, 1991

1990
Performance analysis of tightly-coupled multiprocessor minicomputers.
Microprocessing and Microprogramming, 1990

Temporal Pattern Recognition Using EBPS.
Proceedings of the Neural Networks, 1990

1989
An Algebraic Approach to Cichelli's Perfect Hashing.
BIT, 1989


  Loading...