M. Gori

M. Gori, G. Soda, E. Francesconi, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent

Marco Protasi, Marco Gori, Monica Bianchini, 1997, ICONIP.

An introduction to learning in web domains

Ah Chung Tsoi, Franco Scarselli, Marco Gori, 2003, ESANN.

Terminal Attractor Algorithms and the Class of Unimodal Loading Problems

M. Bianchini, M. Gori, M. Protasi, 1997 .

CHAPTER 4 – HOW TO SEARCH

Ian H. Witten, Teresa Numerico, Marco Gori, 2007 .

A unified computational framework for visual attention dynamics.

M. Gori, A. Rufa, Dario Zanca, 2019, Progress in Brain Research.

Solving Italian crosswords using the Web Technical Report

M. Gori, M. Ernandes, Giovanni Angelini, 2022 .

Proceedings of the 4th Congress of the Italian Association for Artificial Intelligence on Topics in Artificial Intelligence

Giovanni Soda, Marco Gori, M. Gori, 1995 .

Graph Neural Networks for Graph Drawing

M. Gori, Gabriele Ciravegna, Matteo Tiezzi, 2021, IEEE transactions on neural networks and learning systems.

CHAPTER 2 – LITERATURE AND THE WEB

Ian H. Witten, Teresa Numerico, Marco Gori, 2007 .

Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures

Marco Gori, C. Lee Giles, M. Gori, 1997 .

CHAPTER 1 – SETTING THE SCENE

Ian H. Witten, Teresa Numerico, Marco Gori, 2007 .

A voice device for X11 pointer control

Marco Gori, Marco Maggini, Enrico Martinelli, 1997 .

Introduction to Multilayer Perceptrons

Marco Gori, M. Gori, 2009 .

Does Terminal Attractor Guarantee Global Convergence

Marco Gori, Marco Maggini, Monica Bianchini, 1994 .

Data Extraction from Partially Structured Documents

Francesca Cesarini, Giovanni Soda, Marco Gori, 1995, Sistemi Evoluti per Basi di Dati.

The Decoupling Network Assumptions for Optimal Learning in Recurrent Neural Networks

Marco Gori, Marco Maggini, Monica Bianchini, 1994 .

Inductive inference from noisy examples: The rule-noise dilemma and the hybrid finite state filter

Giovanni Soda, Marco Gori, Marco Maggini, 1996 .

Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches

Stefano Cagnoni, Giovanni Adorni, Marco Gori, 2000, SSPR/SPR.

Artificial Intelligence and Entertainment

Marco Gori, Oliviero Stock, O. Stock, 2006, Intelligenza Artificiale.

Continuous problem solving and computational suspiciousness

Marco Gori, M. Gori, 2003 .

The Principle of Least Cognitive Action in Vision

Marco Gori, M. Gori, 2021, International Conference on Pattern Recognition Applications and Methods.

Clustering-Based Interpretation of Deep ReLU Network pdf

Marco Gori, Nicola Picchiotti, M. Gori, 2021, AI*IA.

Learning Semantic-based Structures from Textual Sources

Marco Gori, M. Gori, 2017, WEBIST.

Investigation into the application of graph neural networks to large-scale recommender systems

Franco Scarselli, Markus Hagenbuchner, Marco Gori, 2006 .

Optimal learning in artificial neural networks: A theoretical view

Paolo Frasconi, Marco Gori, Marco Maggini, 1998 .

Baltzer Journals Unimodal Loading

M. Gori, M. Protasi, S. Fanelli, 2007 .

Machine Learning: A Constraint-Based Approach

Marco Gori, M. Gori, 2017 .

Entropy-based Logic Explanations of Neural Networks pdf

Marco Gori, Stefano Melacci, Pietro Barbiero, 2021, AAAI.

Topics in Artificial Intelligence

Giovanni Soda, Marco Gori, M. Gori, 1995, Lecture Notes in Computer Science.

Optimal Learning and the Class of Unimodal Error Surface Loading Problems

Marco Gori, Monica Bianchini, S. Fanelli, 1995 .

CHAPTER 5 – THE WEB WARS

Ian H. Witten, Teresa Numerico, Marco Gori, 2007 .

A constrained machine-learning paradigm

Marcello Sanguineti, Marco Gori, Stefano Melacci, 2016 .

On the time complexity of regularized least square

Marco Gori, M. Gori, 2011, Italian Workshop on Neural Nets.

NUMBER-PLATE RECOGNITION IN PRACTICE: THE ROLE OF NEURAL NETWORKS

Marco Gori, L. Pistolesi, A. Frosini, 1998 .

Chapter 8 – Answers to Exercises

Marco Gori, M. Gori, 2018 .

Jointly Learning to Detect Emotions and Predict Facebook Reactions

Marco Gori, Stefano Melacci, Lisa Graziani, 2019, ICANN.

The Role of Coherence in Facial Expression Recognition

M. Gori, S. Melacci, Lisa Graziani, 2018, International Conference of the Italian Association for Artificial Intelligence.

Graph Neural Networks for Graph Drawing pdf

Marco Gori, Matteo Tiezzi, Gabriele Ciravegna, 2021, IEEE transactions on neural networks and learning systems.

A Lagrangian Approach to Information Propagation in Graph Neural Networks

M. Gori, Marco Maggini, G. Marra, 2020, ECAI.

CHAPTER 3 – MEET THE WEB

Ian H. Witten, Teresa Numerico, Marco Gori, 2007 .

Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 2001, IEEE Trans. Knowl. Data Eng..

A Step towards a Complexity Theory for Analog Systems

Klaus Meer, Marco Gori, M. Gori, 2002, Math. Log. Q..

Special issue on recurrent neural networks for sequence processing

Ah Chung Tsoi, Marco Gori, Raymond L. Watrous, 1997 .

BANK: A Banknote Acceptor with Neural Kernel

Marco Gori, A. Frosini, P. Priami, 1998 .

Suspiciousness of loading problems

P. Frasconi, M. Gori, M. Protasi, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

Hidden Tree Markov Models for Image Document Classification

Paolo Frasconi, Marco Gori, Michelangelo Diligenti, 2003 .

A unified probabilistic framework for Web page scoring systems

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2004, IEEE Transactions on Knowledge and Data Engineering.

ADAPTIVE GRAPHIC PATTERN RECOGNITION: FOUNDATIONS AND PERSPECTIVES

Stefano Cagnoni, Giovanni Adorni, Marco Gori, 2002 .

Focus Crawling by Context Graphs

Marco Gori, Michelangelo Diligenti, Steve Lawrence, 2000 .

Searching the Web: learning based techniques

Franco Scarselli, Marco Gori, Marco Maggini, 2001, The European Symposium on Artificial Neural Networks.

A Novel Optimal-Control-Based Model of Online Learning from Data

Alberto Bemporad, Marcello Sanguineti, Marco Gori, 2016 .

Phonetic recognition experiments with recurrent neural networks

Piero Cosi, Paolo Frasconi, Marco Gori, 1992, ICSLP.

Visual Features and Their Own Optical Flow

Marco Gori, Stefano Melacci, Giuseppe Boccignone, 2021, Frontiers in Artificial Intelligence.

Knowledge-driven Active Learning pdf

Marco Gori, Frederic Precioso, Gabriele Ciravegna, 2021, ArXiv.

PageRank: A Circuital Analysis

Franco Scarselli, Marco Gori, Monica Bianchini, 2002 .

Logic Explained Networks pdf

Marco Gori, Marco Maggini, Stefano Melacci, 2021, ArXiv.

A Hybrid System for Locating and Recognizing Low Level Graphic Items

M. Gori, G. Soda, S. Marinai, 1995, IAPR International Workshop on Graphics Recognition.

Dealing with mixed hard/soft constraints via support constraint machines

G. Gnecco, M. Sanguineti, M. Gori, 2015 .

A model of online learning as a Linear Quadratic Gaussian (LQG) optimal control problem with random matrices

G. Gnecco, M. Sanguineti, A. Bemporad, 2015 .

A machine-learning paradigm that includes pointwise constraints

G. Gnecco, M. Sanguineti, M. Gori, 2014 .

Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors

M. Gori, A. Panizza, S. Melacci, 2022, ArXiv.

Research Online Research Online The graph neural network model The graph neural network model

A. Tsoi, F. Scarselli, M. Gori, 2022 .

Foveated Neural Computation

M. Gori, S. Melacci, Alessandro Betti, 2022 .

Knowledge-driven Active Learning

M. Gori, F. Precioso, Gabriele Ciravegna, 2021, ArXiv.

Entropy-based Logic Explanations of Neural Networks

M. Gori, Gabriele Ciravegna, S. Melacci, 2021, AAAI.

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers

F. Roli, M. Gori, B. Biggio, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Logic Explained Networks

M. Gori, Marco Maggini, Gabriele Ciravegna, 2021, NeSy.

Chapter 5 – Deep Architectures

Marco Gori, M. Gori, 2018 .

On the relation between Loss Functions and T-Norms pdf

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2019, ILP.

Image Classification Using Deep Learning and Prior Knowledge

Marco Gori, Michelangelo Diligenti, Soumali Roychowdhury, 2018, AAAI Workshops.

Italian Machine Learning and Data Mining research: The last years

Fabrizio Riguzzi, Donato Malerba, Davide Bacciu, 2013, Intelligenza Artificiale.

Neural networks for relational learning: an experimental comparison

Franco Scarselli, Marco Gori, Hendrik Blockeel, 2011, Machine Learning.

Representation of finite state automata in Recurrent Radial Basis Function networks

Giovanni Soda, Paolo Frasconi, Marco Gori, 2004, Machine Learning.

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks pdf

Marco Gori, Stefano Melacci, Matteo Tiezzi, 2021, AAAI.

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier

Marco Gori, Stefano Melacci, Matteo Tiezzi, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Injecting Nondeterministic Finite State Automata into RecurrentNeural NetworksPaolo

P. Frasconi, M. Gori, G. Soda, 1993 .

Optimal learning in arti cial neural networks : a theoretical viewM

M. Bianchini, M. Gori, 2022 .

A Comparison between Recursive Neural Networks and Graph Neural Networks

Franco Scarselli, Marco Gori, Marco Maggini, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Graph Neural Networks for Object Localization

Franco Scarselli, Marco Gori, Vincenzo Di Massa, 2006, ECAI.

Learning in Variable-Dimensional Spaces

Marco Gori, Michelangelo Diligenti, Claudio Saccà, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Learning With Mixed Hard/Soft Pointwise Constraints

Marcello Sanguineti, Marco Gori, Stefano Melacci, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Learning with Boundary Conditions

Marcello Sanguineti, Marco Gori, Giorgio Gnecco, 2013, Neural Computation.

Terminal attractor algorithms: A critical analysis

Marco Gori, Marco Maggini, Monica Bianchini, 1997, Neurocomputing.

Special issue on integration of symbolic and connectionist systems

Franz J. Kurfess, Alessandro Sperduti, Paolo Frasconi, 2002, Cognitive Systems Research.

Theoretical properties of recursive neural networks with linear neurons

Marco Gori, Monica Bianchini, M. Bianchini, 2001, IEEE Trans. Neural Networks.

Time in Connectionist Models

Jean-Cédric Chappelier, Marco Gori, Alain Grumbach, 2001, Sequence Learning.

Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 2000, ECAI.

Neural Nets, Recurrent

Marco Gori, Mikel L. Forcada, M. Gori, 1999 .

On the implementation of frontier-to-root tree automata in recursive neural networks

Alessandro Sperduti, Marco Gori, Andreas Küchler, 1999, IEEE Trans. Neural Networks.

Recursive Networks: An Overview of Theoretical Results

Franco Scarselli, Marco Gori, Monica Bianchini, 1999 .

Learning in structured domains

Marco Gori, M. Gori, 1999, ESANN.

Integration of Graphical Rules with Adaptive Learning of Structured Information

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998, Hybrid Neural Systems.

On the Efficient Classification of Data Structures by Neural Networks

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1997, IJCAI.

Backprop Diffusion is Biologically Plausible pdf

Marco Gori, Alessandro Betti, M. Gori, 2019, ArXiv.

Learning with Box Kernels

Marco Gori, Stefano Melacci, M. Gori, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

Learning with Box Kernels

Marco Gori, Stefano Melacci, M. Gori, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Inference , Learning , and Laws of Nature

M. Gori, M. Gori, M. Lippi, 2013 .

Support Constraint Machines

Marco Gori, Stefano Melacci, M. Gori, 2011, ICONIP.

Detecting near-replicas on the Web by content and hyperlink analysis

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

Foundations of Support Constraint Machines

Marcello Sanguineti, Marco Gori, Stefano Melacci, 2015, Neural Computation.

Kernel Methods for Minimum Entropy Encoding

Marco Gori, Stefano Melacci, M. Gori, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Learning Activation Functions by Means of Kernel Based Neural Networks

Marco Gori, Alessandro Betti, Giuseppe Marra, 2019, AI*IA.

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks pdf

Marco Gori, Alessandro Betti, Giuseppe Marra, 2018, ArXiv.

Learning with Convex Constraints

Marco Gori, Stefano Melacci, M. Gori, 2010, ICANN.

Learning the dynamic nature of speech with back-propagation for sequences

Yoshua Bengio, Renato De Mori, Marco Gori, 1992, Pattern Recognit. Lett..

Scalable pseudo-likelihood estimation in hybrid random fields

Marco Gori, Edmondo Trentin, Antonino Freno, 2009, KDD.

Scalable statistical learning: A modular bayesian/markov network approach

Marco Gori, Edmondo Trentin, Antonino Freno, 2009, 2009 International Joint Conference on Neural Networks.

A Web-Based Agent Challenges Human Experts on Crosswords

Marco Gori, Marco Ernandes, Giovanni Angelini, 2008, AI Mag..

Gravitational models explain shifts on human visual attention

Stefano Melacci, Marco Gori, Dario Zanca, 2020, Scientific Reports.

Wave Propagation of Visual Stimuli in Focus of Attention pdf

Stefano Melacci, Alessandro Betti, Marco Gori, 2020, ArXiv.

Variational Laws of Visual Attention for Dynamic Scenes

Marco Gori, Dario Zanca, M. Gori, 2017, NIPS.

Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach

M. Gori, S. Melacci, Dario Zanca, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines

Marco Gori, Augusto Pucci, M. Gori, 2007, IJCAI.

Robust combination of neural networks and hidden Markov models for speech recognition

Marco Gori, Edmondo Trentin, E. Trentin, 2003, IEEE Trans. Neural Networks.

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

Marco Gori, Edmondo Trentin, E. Trentin, 2006, Neurocomputing.

Artificial neural networks for document analysis and recognition

Giovanni Soda, Marco Gori, Simone Marinai, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Combining Neural Networks and Hidden Markov Models for Speech Recognition

Marco Gori, Edmondo Trentin, E. Trentin, 1999 .

Web Dragons: Inside the Myths of Search Engine Technology

Ian H. Witten, Teresa Numerico, Marco Gori, 2006 .

Learning Visual Features Under Motion Invariance

M. Gori, S. Melacci, Alessandro Betti, 2019, Neural Networks.

A template-based approach to automatic face enhancement

Marco Gori, Marco Maggini, Stefano Melacci, 2010, Pattern Analysis and Applications.

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning pdf

Luciano Serafini, Marco Gori, Luis C. Lamb, 2019, FLAP.

Motion Invariance in Visual Environments pdf

Marco Gori, Stefano Melacci, Alessandro Betti, 2018, IJCAI.

Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation

Marco Gori, Edmondo Trentin, Antonino Freno, 2010, ECAI.

Generalization in quasi-periodic environments pdf

Marco Gori, Giovanni Bellettini, Alessandro Betti, 2018, ArXiv.

Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive

Marco Gori, Marco Matassoni, Edmondo Trentin, 2003, INTERSPEECH.

Ten Questions for a Theory of Vision

M. Gori, 2022, Frontiers in Computer Science.

What's Wrong with Computer Vision?

Marco Gori, M. Gori, 2018, ANNPR.

Convolutional Networks in Visual Environments pdf

Marco Gori, Alessandro Betti, M. Gori, 2018, ArXiv.

Towards Developmental AI: The paradox of Ravenous Intelligent Agents

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2011, NeSy.

Semantic video labeling by developmental visual agents

Marco Gori, Marco Lippi, Marco Maggini, 2016, Comput. Vis. Image Underst..

Learning to see like children: proof of concept pdf

Marco Gori, Marco Lippi, Marco Maggini, 2014, ArXiv.

Information Theoretic Learning for Pixel-Based Visual Agents

Marco Gori, Marco Lippi, Marco Maggini, 2012, ECCV.

Focused Crawling Using Context Graphs

Marco Gori, C. Lee Giles, Michelangelo Diligenti, 2000, VLDB.

Integrating Prior Knowledge into Deep Learning

Marco Gori, Michelangelo Diligenti, Soumali Roychowdhury, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Relational Neural Machines

Marco Maggini, Michelangelo Diligenti, Giuseppe Marra, 2020, ECAI.

Integrating Learning and Reasoning with Deep Logic Models pdf

Marco Gori, Michelangelo Diligenti, Giuseppe Marra, 2019, ECML/PKDD.

LQG Online Learning

Alberto Bemporad, Marcello Sanguineti, Marco Gori, 2016, Neural Computation.

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective pdf

Moshe Y. Vardi, Marcelo O. R. Prates, Luis C. Lamb, 2020, IJCAI.

Data Categorization Using Decision Trellises

G. Soda, P. Frasconi, M. Gori, 1999, IEEE Trans. Knowl. Data Eng..

Decision Trellis Models for Tuple Categorization in Databases

Giovanni Soda, Paolo Frasconi, Marco Gori, 1996, SEBD.

A recursive neural network model for processing directed acyclic graphs with labeled edges

Marco Gori, Marco Maggini, Lorenzo Sarti, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Hidden Tree Markov Models for Document Image Classification

Paolo Frasconi, Marco Gori, Michelangelo Diligenti, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

A hybrid random field model for scalable statistical learning

Marco Gori, Edmondo Trentin, Antonino Freno, 2009, Neural Networks.

Links between LVQ and Backpropagation

Giovanni Soda, Paolo Frasconi, Marco Gori, 1997, Pattern Recognit. Lett..

Adaptive Processing of Sequences and Data Structures

Marco Gori, C. Lee Giles, M. Gori, 1998, Lecture Notes in Computer Science.

On a Convex Logic Fragment for Learning and Reasoning

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2018, IEEE Transactions on Fuzzy Systems.

Bridging logic and kernel machines

M. Gori, Marco Maggini, Michelangelo Diligenti, 2011, Machine Learning.

Processing directed acyclic graphs with recursive neural networks

Franco Scarselli, Marco Gori, Monica Bianchini, 2001, IEEE Trans. Neural Networks.

Just-in-time landmarks recognition

M. Gori, G. Adorni, M. Mordonini, 1999, Real Time Imaging.

Graphical-Based Learning Environments for Pattern Recognition

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2004, SSPR/SPR.

Discrete and Continuous Deep Residual Learning Over Graphs pdf

Anderson R. Tavares, Marco Gori, Luis C. Lamb, 2019, ICAART.

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

F. Roli, M. Gori, B. Biggio, 2020, arXiv.org.

Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations

Marco Gori, Monica Bianchini, Stefano Fanelli, 2001, IEEE Trans. Computers.

Computational capabilities of linear recursive networks

Franco Scarselli, Marco Gori, Monica Bianchini, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381)

Pascal Hitzler, Artur S. d'Avila Garcez, Luís C. Lamb, 2014, Dagstuhl Reports.

T-norms driven loss functions for machine learning

Marco Maggini, Michelangelo Diligenti, Giuseppe Marra, 2019, Applied Intelligence.

Learning and T-Norms Theory pdf

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2019, ArXiv.

LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning

Marco Gori, Michelangelo Diligenti, Giuseppe Marra, 2019, ECML/PKDD.

LYRICS: a General Interface Layer to Integrate AI and Deep Learning pdf

Marco Gori, Michelangelo Diligenti, Giuseppe Marra, 2019, ArXiv.

HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality

Marco Gori, Stefano Melacci, Dario Zanca, 2021, 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR).

A Random-Walk Based Scoring Algorithm Applied to Recommender Engines

Marco Gori, Marco Maggini, Augusto Pucci, 2006, WEBKDD.

A Constraint-Based Approach to Learning and Reasoning

M. Gori, Marco Maggini, G. Marra, 2021, Neuro-Symbolic Artificial Intelligence.

A Constraint-Based Approach to Learning and Explanation

Marco Maggini, Stefano Melacci, Marco Gori, 2020, AAAI.

Focus of Attention Improves Information Transfer in Visual Features pdf

Marco Maggini, Stefano Melacci, Alessandro Betti, 2020, NeurIPS.

Inside PageRank

Franco Scarselli, Marco Gori, Monica Bianchini, 2005, TOIT.

Research Paper Recommender Systems: A Random-Walk Based Approach

Marco Gori, Augusto Pucci, M. Gori, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

Knowledge-driven Active Learning

M. Gori, F. Precioso, Gabriele Ciravegna, 2021, ECML/PKDD.

Human-Driven FOL Explanations of Deep Learning

Marco Maggini, Stefano Melacci, Marco Gori, 2020, IJCAI.

Constraint Verification With Kernel Machines

Marco Gori, Stefano Melacci, M. Gori, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Regularizing deep networks with prior knowledge: A constraint-based approach

Marco Gori, Michelangelo Diligenti, Soumali Roychowdhury, 2021, Knowl. Based Syst..

KL: A Neural Model for Capturing Structure in Speech

Giovanni Soda, Paolo Frasconi, Marco Gori, 1991, AI*IA.

Chapter 2 – Learning Principles

Marco Gori, M. Gori, 2018 .

A theoretical framework for supervised learning from regions

Marcello Sanguineti, Marco Gori, Stefano Melacci, 2014, Neurocomputing.

Learning with hard constraints as a limit case of learning with soft constraints

Marcello Sanguineti, Marco Gori, Stefano Melacci, 2016, ESANN.

Recognition of common areas in a Web page using visual information: a possible application in a page classification

Veljko M. Milutinovic, Marco Gori, Michelangelo Diligenti, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Recursive Neural Networks Applied to Discourse Representation Theory

Marco Gori, Fabrizio Santini, Antonella Bua, 2002, ICANN.

Cognitive Action Laws: The Case of Visual Features

Marco Gori, Stefano Melacci, Alessandro Betti, 2018, IEEE Transactions on Neural Networks and Learning Systems.

The loading problem for recursive neural networks

Alessandro Sperduti, Marco Gori, M. Gori, 2005, Neural Networks.

Automatic document classification and indexing in high-volume applications

Francesca Cesarini, Giovanni Soda, Marco Gori, 2001, International Journal on Document Analysis and Recognition.

Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints

Marco Gori, Stefano Melacci, M. Gori, 2011, AI*IA.

Learning without local minima in radial basis function networks

Paolo Frasconi, Marco Gori, Monica Bianchini, 1995, IEEE Trans. Neural Networks.

Unimodal loading problems

Marco Gori, Monica Bianchini, S. Fanelli, 1997 .

Learning in multilayered networks used as autoassociators

Paolo Frasconi, Marco Gori, Monica Bianchini, 1995, IEEE Trans. Neural Networks.

On the problem of local minima in recurrent neural networks

Marco Gori, Marco Maggini, Monica Bianchini, 1994, IEEE Trans. Neural Networks.

Backpropagation for linearly-separable patterns: A detailed analysis

Paolo Frasconi, Alberto Tesi, Marco Gori, 1993, IEEE International Conference on Neural Networks.

Optimal convergence of on-line backpropagation

Marco Gori, Marco Maggini, M. Gori, 1996, IEEE Trans. Neural Networks.

Non-suspiciousness: a generalisation of convexity in the frame of foundations of numerical analysis and learning

Marco Gori, Monica Bianchini, S. Fanelli, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Continual Learning with Pretrained Backbones by Tuning in the Input Space

T. Tuytelaars, M. Gori, S. Melacci, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Access control system with neuro-fuzzy supervision

Stefano Cagnoni, Monica Mordonini, Giovanni Adorni, 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

Autoassociator-based models for speaker verification

Giovanni Soda, Marco Gori, Luca Lastrucci, 1996, Pattern Recognit. Lett..

An Optimal Control Approach to Learning in SIDARTHE Epidemic model pdf

Andrea Zugarini, Alessandro Betti, Enrico Meloni, 2020, ArXiv.

A Neural Network Approach to Web Graph Processing

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, APWeb.

Optimal learning in artificial neural networks: A review of theoretical results

Marco Gori, Monica Bianchini, M. Bianchini, 1996, Neurocomputing.

Automatic Generation of Crossword Puzzles

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2012, Int. J. Artif. Intell. Tools.

A Fully Automatic Crossword Generator

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Fakult at F Ur Informatik Der Technischen Universitt at M Unchen Lehrstuhl Viii Forschungsgruppe Automated Reasoning Feature Extraction and Learning Vector Quantization for Data Structures Feature Extraction and Learning Vector Quantization for Data Structures

Christoph Goller, Marco Gori, C. Goller, 2022 .

A unified representation of web logs for mining applications

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2011, Information Retrieval.

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects

M. Gori, S. Melacci, Matteo Tiezzi, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Constraint-based Learning for Text Categorization

Marco Gori, Michelangelo Diligenti, Claudio Saccà, 2012 .

Analysis and understanding of multi-class invoices

Francesca Cesarini, Giovanni Soda, Marco Gori, 2003, Document Analysis and Recognition.

Constraint-Based Visual Generation

Marco Gori, Michelangelo Diligenti, Giuseppe Marra, 2018, ICANN.

Recurrent neural networks can learn simple, approximate regular languages

Marco Gori, Marco Maggini, Mikel L. Forcada, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Neural learning of approximate simple regular languages

Marco Gori, Marco Maggini, Mikel L. Forcada, 1999, ESANN.

Typed Graph Networks pdf

Luís C. Lamb, Marco Gori, Marcelo O. R. Prates, 2019, ArXiv.

Pattern recognition and beyond: Alfredo Petrosino's scientific results

Sankar K. Pal, Lucia Maddalena, Marco Gori, 2020, Pattern Recognit. Lett..

BPS: a learning algorithm for capturing the dynamic nature of speech

M. Gori, Y. Bengio, R. De Mori, 1989, International 1989 Joint Conference on Neural Networks.

Gravitational Laws of Focus of Attention

Marco Gori, Stefano Melacci, Dario Zanca, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Comments on local minima free conditions in multilayer perceptrons

Ah Chung Tsoi, Marco Gori, A. Tsoi, 1998, IEEE Trans. Neural Networks.

Computational models for short-term prediction of the stock market

Marco Gori, Marco Lippi, Lorenzo Menconi, 2011, Intelligenza Artificiale.

Image Document Categorization Using Hidden Tree Markov Models and Structured Representations

Paolo Frasconi, Marco Gori, Michelangelo Diligenti, 2001, ICAPR.

Solving Italian Crosswords Using the Web

Marco Gori, Marco Ernandes, Giovanni Angelini, 2005, AI*IA.

WebCrow: A Web-Based System for Crossword Solving

Marco Gori, Marco Ernandes, Giovanni Angelini, 2005, AAAI.

Cracking Crosswords: The Computer Challenge

Marco Gori, Marco Ernandes, Giovanni Angelini, 2006, Reasoning, Action and Interaction in AI Theories and Systems.

Human-Driven FOL Explanations of Deep Learning

M. Gori, Marco Maggini, Gabriele Ciravegna, 2020, IJCAI.

Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text

Marco Gori, Stefano Melacci, Andrea Zugarini, 2018, ANNPR.

Encoding nondeterministic fuzzy tree automata into recursive neural networks

Alfredo Petrosino, Marco Gori, M. Gori, 2004, IEEE Transactions on Neural Networks.

Inductive Inference of Tree Automata by Recursive Neural Networks

Giovanni Soda, Paolo Frasconi, Marco Gori, 1997, AI*IA.

Hidden Recursive Models

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998 .

Online learning as an LQG optimal control problem with random matrices

Alberto Bemporad, Marcello Sanguineti, Marco Gori, 2015, 2015 European Control Conference (ECC).

Wave Propagation of Visual Stimuli in Focus of Attention

M. Gori, S. Melacci, Alessandro Betti, 2020, Neurocomputing.

Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach

Giovanni Soda, Paolo Frasconi, Marco Gori, 1995, Knowl. Based Syst..

Recursive processing of cyclic graphs

Franco Scarselli, Marco Gori, Monica Bianchini, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Recursive processing of cyclic graphs

Franco Scarselli, Marco Gori, Monica Bianchini, 2006, IEEE Transactions on Neural Networks.

Least Action Principles and Well-Posed Learning Problems pdf

Marco Gori, Alessandro Betti, M. Gori, 2019, AIRO Springer Series.

Visual Adjacency Multigraphs – a Novel Approach for a Web Page Classification

Veljko Milutinovic, Marco Gori, Michelangelo Diligenti, 2004 .

On-Line Video Motion Estimation by Invariant Receptive Inputs

Marco Gori, Marco Lippi, Marco Maggini, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

On the closure of the set of functions that can be realized by a given multilayer perceptron

Ah Chung Tsoi, Franco Scarselli, Marco Gori, 1998, IEEE Trans. Neural Networks.

Which classes of functions can a given multilayer perceptron approximate?

Ah Chung Tsoi, Marco Gori, F. Scarselli, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Balancing Recall and Precision in Stock Market Predictors Using Support Vector Machines

Marco Gori, Marco Lippi, Lorenzo Menconi, 2012, WIRN.

Neural computation, social networks, and topological spectra

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2004, Theor. Comput. Sci..

Web page scoring systems for horizontal and vertical search

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2002, WWW.

An Application of ELISA to Perfect Hashing with Deterministic Ordering

Marco Gori, Monica Bianchini, Stefano Fanelli, 1998, ICONIP.

Adaptive graphical pattern recognition for the classification of company logos

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2001, Pattern Recognit..

A serial combination of connectionist-based classifiers for OCR

Giovanni Soda, Marco Gori, Simone Marinai, 2001, International Journal on Document Analysis and Recognition.

INFORMys: A Flexible Invoice-Like Form-Reader System

Francesca Cesarini, Giovanni Soda, Marco Gori, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Logo Recognition by Recursive Neural Networks

P. Frasconi, M. Gori, G. Soda, 1997, GREC.

A neural-based architecture for spot-noisy logo recognition

Francesca Cesarini, Giovanni Soda, Marco Gori, 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

Rectangle labelling for an invoice understanding system

Francesca Cesarini, Giovanni Soda, Marco Gori, 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

Data Extraction from Form Images

Francesca Cesarini, Giovanni Soda, Marco Gori, 1995, DEXA.

Edge-backpropagation for noisy logo recognition

Giovanni Soda, Marco Gori, Marco Maggini, 2003, Pattern Recognit..

A system for data extraction from forms of known class

Francesca Cesarini, Giovanni Soda, Marco Gori, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

A Step towards a Complexity Theory for Analog Systems

Klaus Meer, Marco Gori, M. Gori, 2002, Math. Log. Q..

Does Terminal Attractor Backpropagation Guarantee Global Optimization

Marco Gori, Marco Maggini, Monica Bianchini, 1994 .

The loading problem for recursive neural networks

M. Gori, A. Sperduti, 2005, Neural Networks.

A language modeling-like approach to sketching

Marco Gori, Stefano Melacci, Lisa Graziani, 2021, Neural Networks.

Generating Facial Expressions Associated with Text

Stefano Melacci, Marco Gori, Lisa Graziani, 2020, ICANN.

Semi-supervised Learning with Constraints for Multi-view Object Recognition

Marco Gori, Marco Maggini, Stefano Melacci, 2009, ICANN.

Feature Extraction and Learning Vector Quantization for Data Structures

C. Goller, M. Gori, 1999, IIA/SOCO.

Adaptive Graphical Pattern Recognition: The Joint Role of Structure and Learning

Marco Gori, Marco Maggini, Michelangelo Diligenti, 1999 .

Exact and approximate graph matching using random walks

Marco Gori, Marco Maggini, Lorenzo Sarti, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Computational capabilities of local-feedback recurrent networks acting as finite-state machines

Paolo Frasconi, Marco Gori, P. Frasconi, 1996, IEEE Trans. Neural Networks.

Knowledge-driven Active Learning

M. Gori, F. Precioso, Gabriele Ciravegna, 2021, ECML/PKDD.

BackPropagation through Cyclic Structures

Franco Scarselli, Marco Gori, Monica Bianchini, 2003, AI*IA.

Face Localization with Recursive Neural Networks

Franco Scarselli, Marco Gori, Monica Bianchini, 2003, WIRN.

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2003, Pattern Recognit. Lett..

Processing directed acyclic graphs with recursive neural networks

M. Bianchini, F. Scarselli, M. Gori, 2001, IEEE Trans. Neural Networks.

Learning with Hard Constraints

Marcello Sanguineti, Marco Gori, Stefano Melacci, 2013, ICANN.

Multitask Kernel-based Learning with Logic Constraints

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2010, ECAI.

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks

M. Gori, S. Melacci, Alessandro Betti, 2022, International Conference on Machine Learning and Applications.

Developing Constrained Neural Units Over Time

Stefano Melacci, Alessandro Betti, Marco Gori, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Local Propagation in Constraint-based Neural Networks

M. Gori, Marco Maggini, G. Marra, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

SAILenv: Learning in Virtual Visual Environments Made Simple

Stefano Melacci Dept. of Information Engineering, University of Siena, M. Gori, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

A Hybrid Model for the Prediction of the Linguistic Origin of Surnames

Franco Scarselli, Marco Gori, Marco Maggini, 2003, IEEE Trans. Knowl. Data Eng..

A connectionist-based model for predicting the linguistic origin of surnames

Franco Scarselli, Marco Gori, Patrizia Bonaventura, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

An Overview on the Web of Clinical Data pdf

Marco Gori, M. Gori, 2020, ArXiv.

T-norms driven loss functions for machine learning

M. Gori, Marco Maggini, Michelangelo Diligenti, 2019, Applied Intelligence.

DAPHNE: DATA PARALLELISM NEURAL NETWORK SIMULATOR

Giovanni Soda, Paolo Frasconi, Marco Gori, 1993 .

Pure-Past Linear Temporal and Dynamic Logic on Finite Traces

Giuseppe De Giacomo, Moshe Y. Vardi, Marcelo O. R. Prates, 2020, IJCAI.

Visual Attention driven by Convolutional Features pdf

Marco Gori, Dario Zanca, M. Gori, 2018, ArXiv.

The RW2 Algorithm for Exact Graph Matching

Marco Gori, Marco Maggini, Lorenzo Sarti, 2005, ICAPR.