Marco Maggini

发表

Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks

Giovanni Soda, Paolo Frasconi, Marco Gori, 1995, IEEE Trans. Knowl. Data Eng..

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2003, WWW '03.

Graph neural networks for ranking Web pages

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

Learning Web Page Scores by Error Back-Propagation

Marco Gori, Marco Maggini, Michelangelo Diligenti, 2005, IJCAI.

Financial Time Series Forecasting Using K-nearest Neighbors Classiication

C. L. Giles, B. Horne, Marco Maggini, 1997 .

Web page classification using visual layout analysis

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

An unified approach for integrating explicit knowledge and learning by example in recurrent networks

Giovanni Soda, Paolo Frasconi, Marco Gori, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Representation of Finite State Automata in Recurrent Radial Basis Function Networks

P. Frasconi, M. Gori, Marco Maggini, 1996, Machine Learning.

STUDIO DI RAPPRESENTAZIONI SEMANTICHE PER DOCUMENTI DI TESTO CON APPLICAZIONE AL CLUSTERING AUTOMATICO

Marco Maggini, Leonardo Rigutini, Matteo Gori, 2005 .

An introduction to learning in web domains

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

A voice device for X11 pointer control

Marco Gori, Marco Maggini, Enrico Martinelli, 1997 .

Does Terminal Attractor Guarantee Global Convergence

Marco Gori, Marco Maggini, Monica Bianchini, 1994 .

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 .

Optimal learning in artificial neural networks: A theoretical view

Paolo Frasconi, Marco Gori, Marco Maggini, 1998 .

A Lagrangian Approach to Information Propagation in Graph Neural Networks

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

A unified probabilistic framework for Web page scoring systems

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

Searching the Web: learning based techniques

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

Recursive networks for processing graphs with labelled edges

Franco Scarselli, Marco Maggini, Monica Bianchini, 2004, The European Symposium on Artificial Neural Networks.

Logic Explained Networks pdf

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

Recursive Neural Networks and Their Applications to Image Processing

Marco Maggini, Monica Bianchini, Lorenzo Sarti, 2006 .

1 Predictive Control of OptoElectronic Reconfigurable Interconnection Networks Using Neural Networks *

C. Lee Giles, B. Horne, Marco Maggini, 1995 .

Logic Explained Networks

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

An integrated robot-scanner system for automatic measurements of 3D shapes

M. Maggini, Sandro Barone, Alessandro Paoli, 2009 .

On the relation between Loss Functions and T-Norms pdf

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

A Fast Method for Web Template Extraction via a Multi-sequence Alignment Approach

Marco Maggini, Filippo Geraci, Marco Maggini, 2011, IC3K.

A Multi-sequence Alignment Algorithm for Web Template Detection

Marco Maggini, Filippo Geraci, Marco Maggini, 2011, KDIR.

Cluster Generation and Labeling for Web Snippets: A Fast, Accurate Hierarchical Solution

Fabrizio Sebastiani, Marco Maggini, Marco Pellegrini, 2006, Internet Math..

Cluster Generation and Cluster Labelling for Web Snippets: A Fast and Accurate Hierarchical Solution

Fabrizio Sebastiani, Marco Maggini, Marco Pellegrini, 2006, SPIRE.

Representation of finite state automata in Recurrent Radial Basis Function networks

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

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.

Terminal attractor algorithms: A critical analysis

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

Advances in Neural Information Processing Paradigms

Lakhmi C. Jain, Franco Scarselli, Marco Maggini, 2009, Innovations in Neural Information Paradigms and Applications.

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).

Semi-supervised clustering using similarity neural networks

Marco Maggini, Stefano Melacci, Lorenzo Sarti, 2009, 2009 International Joint Conference on Neural Networks.

A template-based approach to automatic face enhancement

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

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.

Relational Neural Machines

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

COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation

Marco Maggini, Stefano Melacci, Andrea Zugarini, 2019, ICANN.

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..

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.

Recursive neural networks for processing graphs with labelled edges: theory and applications

Franco Scarselli, Marco Maggini, Monica Bianchini, 2005, Neural Networks.

Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language

Marco Maggini, Andrea Zugarini, Matteo Tiezzi, 2020, VARDIAL.

Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks

Paolo Bestagini, Stefano Tubaro, Mauro Barni, 2017, J. Vis. Commun. Image Represent..

Deep Constraint-Based Propagation in Graph Neural Networks pdf

Marco Maggini, Stefano Melacci, Giuseppe Marra, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Generate and Revise: Reinforcement Learning in Neural Poetry

Marco Maggini, Stefano Melacci, Andrea Zugarini, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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.

Supervised Neural Network Models for Processing Graphs

Marco Maggini, Monica Bianchini, M. Bianchini, 2013, Handbook on Neural Information Processing.

Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances

Marco Maggini, G. Marra, S. Melacci, 2019, IEEE Transactions on Neural Networks and Learning Systems.

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.

Localizzazione di volti con Active Shape Models: studio ed analisi di tecniche per l'adattamento del modello di forma

Marco Maggini, Marco Maggini, 2007 .

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.

An EM based training algorithm for cross-language text categorization

Marco Maggini, Bing Liu, Leonardo Rigutini, 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

Human-Driven FOL Explanations of Deep Learning

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

KL: A Neural Model for Capturing Structure in Speech

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

On the problem of local minima in recurrent neural networks

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

Optimal convergence of on-line backpropagation

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

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.

A unified representation of web logs for mining applications

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

Linguistic Feature Injection for Efficient Natural Language Processing

Marco Maggini, Michelangelo Diligenti, Leonardo Rigutini, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

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.

Predictive control of opto-electronic reconfigurable interconnection networks using neural networks

Donald M. Chiarulli, Majd Sakr, S. P. Levitan, 1995, Proceedings of Second International Workshop on Massively Parallel Processing Using Optical Interconnections.

Human-Driven FOL Explanations of Deep Learning

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

Inductive Inference of Tree Automata by Recursive Neural Networks

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

Recursive Neural Networks and Automata

Marco Maggini, Marco Maggini, 1997, Summer School on Neural Networks.

SortNet: Learning to Rank by a Neural Preference Function

Franco Scarselli, Marco Maggini, Leonardo Rigutini, 2011, IEEE Transactions on Neural Networks.

A Neural Network Approach for Learning Object Ranking

Marco Maggini, Monica Bianchini, Leonardo Rigutini, 2008, ICANN.

Inductive-Transductive Learning with Graph Neural Networks

Franco Scarselli, Giovanna Maria Dimitri, Marco Maggini, 2018, ANNPR.

Cyclostationary Neural Networks for Air Pollutant Concentration Prediction

Marco Maggini, Monica Bianchini, Ernesto Di Iorio, 2008, IAPR International Workshop on Artificial Neural Networks in Pattern Recognition.

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.

Learning from pairwise constraints by Similarity Neural Networks

Marco Maggini, Stefano Melacci, Lorenzo Sarti, 2012, Neural Networks.

Marco Maggini, Stefano Melacci, Lorenzo Sarti, 2008, ICANN.

Recursive neural networks learn to localize faces

Franco Scarselli, Marco Maggini, Monica Bianchini, 2005, Pattern Recognit. Lett..

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.

Marco Maggini, Michelangelo Diligenti, Leonardo Rigutini, 2003 .

Adaptive graphical pattern recognition for the classification of company logos

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

Edge-backpropagation for noisy logo recognition

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

Does Terminal Attractor Backpropagation Guarantee Global Optimization

Marco Gori, Marco Maggini, Monica Bianchini, 1994 .

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

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

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

Marco Gori, Marco Maggini, Michelangelo Diligenti, 1999 .

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks

Marco Maggini, G. Marra, S. Melacci, 2020, ArXiv.

Exact and approximate graph matching using random walks

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

Deep Neural Networks for Structured Data

Franco Scarselli, Giovanna Maria Dimitri, Marco Maggini, 2018 .

Supervised Neural Network Learning: from Vectors to Graphs

Marco Maggini, Monica Bianchini, Lorenzo Sarti, 2013 .

2005 Special Issue: Recursive neural networks for processing graphs with labelled edges: theory and applications

M. Bianchini, F. Scarselli, Marco Maggini, 2005 .

Recursive neural networks for object detection

M. Maggini, F. Scarselli, L. Sarti, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

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

Multitask Kernel-based Learning with Logic Constraints

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

Local Propagation in Constraint-based Neural Networks

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

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

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

T-norms driven loss functions for machine learning

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

Conditions for Unnecessary Logical Constraints in Kernel Machines

Marco Maggini, Francesco Giannini, Marco Maggini, 2019, ICANN.

The RW2 Algorithm for Exact Graph Matching

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

Graph matching using random walks

Marco Gori, Marco Maggini, Lorenzo Sarti, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Design of a crawler with bounded bandwidth

Franco Scarselli, Marco Maggini, Michelangelo Diligenti, 2004, WWW Alt. '04.