Paolo Frasconi

Paolo Frasconi, Giulio Iannello, Irene Costantini, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Classification of Cancer Pathology Reports: A Large-Scale Comparative Study

Paolo Frasconi, Stefano Martina, Leonardo Ventura, 2020, IEEE Journal of Biomedical and Health Informatics.

Modeling and Understanding Human Behavior on the Web

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence

Paolo Frasconi, Andrea Passerini, Antonio Rosato, 2006, RECOMB.

On the Efficient Classification of Data Structures by Neural Networks

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

CONLON: A Pseudo-Song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations

Paolo Frasconi, Luca Angioloni, Valentijn Borghuis, 2020, ISMIR.

Logo Recognition by Recursive Neural Networks

Giovanni Soda, Alessandro Sperduti, Paolo Frasconi, 1997, GREC.

Enhancing First-Pass Attachment Prediction

Giovanni Soda, Paolo Frasconi, Vincenzo Lombardo, 2002, ECAI.

Spatial relation extraction using relational learning

Luc De Raedt, Marie-Francine Moens, Parisa Kordjamshidi, 2011, ILP 2011.

Modeling the Internet and the Web: Probabilistic Method and Algorithms

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2002 .

Predicting Metal-Binding Sites from Protein Sequence

Paolo Frasconi, Andrea Passerini, Marco Lippi, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Kernel Machines, Neural Networks, and Graphical Models

Alessandro Sperduti, Paolo Frasconi, Antonina Starita, 2006, Intelligenza Artificiale.

Comparing Sequence Classification Algorithms for Protein Subcellular Localization

Paolo Frasconi, Fabrizio Costa, Sauro Menchetti, 2007, Perspectives of Neural-Symbolic Integration.

Disulfide connectivity prediction using recursive neural networks and evolutionary information

Paolo Frasconi, Alessandro Vullo, P. Frasconi, 2004, Bioinform..

Hidden Tree Markov Models for Image Document Classification

Paolo Frasconi, Marco Gori, Michelangelo Diligenti, 2003 .

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

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

A network to generate human-understandable knowledge from data

Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar, 2002 .

Type Extension Trees for feature construction and learning in relational domains

Paolo Frasconi, Andrea Passerini, Manfred Jaeger, 2013, Artif. Intell..

Wide coverage natural language processing using kernel methods and neural networks for structured data

Paolo Frasconi, Massimiliano Pontil, Fabrizio Costa, 2005, Pattern Recognit. Lett..

Learning and Interpreting Multi-Multi-Instance Learning Networks

Paolo Frasconi, Manfred Jaeger, Alessandro Tibo, 2020, J. Mach. Learn. Res..

Learning Structured Information in Natural Language Applications

Carlo Strapparava, Walter Daelemans, Alessandro Moschitti, 2006 .

Shift Aggregate Extract Networks

Paolo Frasconi, Francesco Orsini, Daniele Baracchi, 2017, Front. Robot. AI.

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..

Markov Logic Networks for Optical Chemical Structure Recognition

Paolo Frasconi, Marco Lippi, Simone Marinai, 2014, J. Chem. Inf. Model..

Decomposition Kernels for Natural Language Processing

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, 2006, Learning Structured Information@EACL.

Protein Structure Assembly from Knowledge of β -Sheet Motifs and Secondary Structure

Alessio Ceroni, Paolo Frasconi, Alessandro Vullo, 2004, WIRN.

Diffusion of Context and Credit Information in Markovian Models pdf

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1995, J. Artif. Intell. Res..

Phonetic recognition experiments with recurrent neural networks

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

Whole-Brain Vasculature Reconstruction at the Single Capillary Level

Paolo Frasconi, Francesco Saverio Pavone, Ludovico Silvestri, 2017 .

Guest editorial: Machine learning for the Internet

Paolo Frasconi, C. Lee Giles, Marco Maggini, 2004, ACM Trans. Internet Techn..

From Margins to Probabilities in Multiclass Learning Problems

Paolo Frasconi, Andrea Passerini, Massimiliano Pontil, 2002, ECAI.

Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings

Kristian Kersting, Paolo Frasconi, Koji Tsuda, 2007, Mining and Learning with Graphs.

Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions

Paolo Frasconi, Luca Angioloni, Valentijn Borghuis, 2020, IJCAI.

A general framework for adaptive processing of data structures

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998, IEEE Trans. Neural Networks.

Learning to discriminate between ligand-bound and disulfide-bound cysteines.

Paolo Frasconi, Andrea Passerini, P. Frasconi, 2004, Protein engineering, design & selection : PEDS.

Bidirectional Dynamics for Protein Secondary Structure Prediction

Giovanni Soda, Pierre Baldi, Paolo Frasconi, 2001, Sequence Learning.

Italian Machine Learning and Data Mining research: The last years

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

Neural Networks and Kernel Machines for Vector and Structured Data

Paolo Frasconi, P. Frasconi, 2005 .

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

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

Special issue on connectionist models for learning in structured domains

Paolo Frasconi, P. Frasconi, 2001 .

A Bridge Between Hyperparameter Optimization and Larning-to-learn pdf

Paolo Frasconi, Massimiliano Pontil, Luca Franceschi, 2017, ArXiv.

Proceedings of the 20th European Conference on Artificial Intelligence

Luc De Raedt, Didier Dubois, Christian Bessiere, 2012 .

Comparing Convolution Kernels and Recursive Neural Networks for Learning Preferences on Structured Data

Paolo Frasconi, Massimiliano Pontil, Fabrizio Costa, 2003 .

Learning without local minima in radial basis function networks

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

Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning pdf

Paolo Frasconi, Massimiliano Pontil, Riccardo Grazzi, 2018, ArXiv.

Image Document Categorization Using Hidden Tree Markov Models and Structured Representations

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

kProbLog: An Algebraic Prolog for Kernel Programming

Luc De Raedt, Paolo Frasconi, Francesco Orsini, 2015, ILP.

Multilayered networks and the C-G uncertainty principle

Paolo Frasconi, Marco Gori, 1993, Defense, Security, and Sensing.

Modular DAG-RNN Architectures for Assembling Coarse Protein Structures

Pierre Baldi, Paolo Frasconi, Alessandro Vullo, 2006, J. Comput. Biol..

Classification of small molecules by two- and three-dimensional decomposition kernels

Alessio Ceroni, Paolo Frasconi, Fabrizio Costa, 2007, Bioinform..

Cell identification in whole-brain multiview images of neural activation pdf

Paolo Frasconi, Ludovico Silvestri, Francesco Pavone, 2015, ArXiv.

Artificial Intelligence and Heuristic Methods in Bioinformatics

Ron Shamir, Paolo Frasconi, Heuristic Methods in Bioinformatics, 2003 .

Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images

Paolo Frasconi, Giulio Iannello, Ludovico Silvestri, 2014, Bioinform..

Guest Editors’ introduction

Francesca A. Lisi, Paolo Frasconi, 2011, Machine Learning.

Feature Discovery with Type Extension Trees

Paolo Frasconi, Andrea Passerini, Manfred Jaeger, 2008, ILP.

Bilevel Programming for Hyperparameter Optimization and Meta-Learning pdf

Paolo Frasconi, Massimiliano Pontil, Luca Franceschi, 2018, ICML.

A topological transformation for hidden recursive modelsarchitecture networks

Giovanni Soda, Paolo Frasconi, Fabrizio Costa, 1999, ESANN.

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

Paolo Frasconi, Marco Lippi, Matteo Bertini, 2013, IEEE Transactions on Intelligent Transportation Systems.

Backpropagation for linearly-separable patterns: A detailed analysis

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

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy

Paolo Frasconi, Andrea Passerini, Marco Punta, 2012, ECML/PKDD.

Fingerprint Classification by Combination of Flat and Structural Approaches

Gian Luca Marcialis, Fabio Roli, Paolo Frasconi, 2001, AVBPA.

Forward and Reverse Gradient-Based Hyperparameter Optimization

Paolo Frasconi, Massimiliano Pontil, Luca Franceschi, 2017, ICML.

Representation of finite state automata in Recurrent Radial Basis Function networks

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

Collective Traffic Forecasting

Paolo Frasconi, Marco Lippi, Matteo Bertini, 2010, ECML/PKDD.

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract)

Luc De Raedt, Paolo Frasconi, Fabrizio Costa, 2012, IJCAI.

Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, 2003, J. VLSI Signal Process..

Proceedings of the 20th international conference on Inductive logic programming

Francesca A. Lisi, Paolo Frasconi, 2010 .

Optimal staining and clearing protocol for whole mouse brain vasculature imaging with light-sheet microscopy

Paolo Frasconi, Francesco Saverio Pavone, Ludovico Silvestri, 2017, European Conference on Biomedical Optics.

Exploiting the past and the future in protein secondary structure prediction

Giovanni Soda, Pierre Baldi, Paolo Frasconi, 1999, Bioinform..

Prediction of Protein Topologies Using Generalized IOHMMS and RNNs

Pierre Baldi, Paolo Frasconi, Alessandro Vullo, 2002, NIPS.

A simplified approach to disulfide connectivity prediction from protein sequences

Paolo Frasconi, Andrea Passerini, Marc Vincent, 2008, BMC Bioinformatics.

Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2016)

Paolo Frasconi, Jilles Vreeken, Giuseppe Manco, 2016 .

A relational kernel-based approach to scene classification

Luc De Raedt, Paolo Frasconi, Tinne Tuytelaars, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Wide Coverage Incremental Parsing by Learning Attachment Preferences

Giovanni Soda, Paolo Frasconi, Vincenzo Lombardo, 2001, AI*IA.

A Statistical Relational Learning Approach to Identify Sections in Scientific Abstracts Using Sentence and Document Structure

Roser Morante, Paolo Frasconi, Luc De Raedt, 2012 .

Guest editorial: Machine learning for the Internet

Paolo Frasconi, C. Lee Giles, Marco Maggini, 2004, TOIT.

Optimal learning in artificial neural networks: A theoretical view

Paolo Frasconi, Marco Gori, Marco Maggini, 1998 .

Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres pdf

Paolo Frasconi, Tijn Borghuis, Lorenzo Brusci, 2018, ArXiv.

Special issue on integration of symbolic and connectionist systems

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

Probabilistic Inductive Logic Programming - Theory and Applications

Luc De Raedt, Kristian Kersting, Stephen Muggleton, 2008, Probabilistic Inductive Logic Programming.

Employing logical languages for image understanding

Luc De Raedt, Paolo Frasconi, Tinne Tuytelaars, 2011 .

Kernels on Prolog Ground Terms

Paolo Frasconi, Andrea Passerini, 2005, IJCAI.

RNAcommender: genome-wide recommendation of RNA-protein interactions

Paolo Frasconi, Andrea Passerini, Fabrizio Costa, 2016, Bioinform..

Automatic speech recognition with neural networks: Beyond nonparametric models

Giovanni Soda, Paolo Frasconi, Marco Gori, 1993 .

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.

Inductive Inference of Tree Automata by Recursive Neural Networks

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

Weighted decomposition kernels

Paolo Frasconi, Fabrizio Costa, Sauro Menchetti, 2005, ICML.

Prediction of Protein Coarse Contact Maps

Paolo Frasconi, Alessandro Vullo, 2003, J. Bioinform. Comput. Biol..

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection

Roser Morante, Luc De Raedt, Walter Daelemans, 2011, ILP.

On Hyperparameter Optimization in Learning Systems

Paolo Frasconi, Massimiliano Pontil, Luca Franceschi, 2017, ICLR.

kLogNLP: Graph Kernel–based Relational Learning of Natural Language

Luc De Raedt, Paolo Frasconi, Fabrizio Costa, 2014, ACL.

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016

Paolo Frasconi, Jilles Vreeken, Giuseppe Manco, 2016 .

Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers

Francesca A. Lisi, Paolo Frasconi, 2011, ILP.

kProbLog: an algebraic Prolog for machine learning

Luc De Raedt, Paolo Frasconi, Francesco Orsini, 2017, Machine Learning.

Marthe: Scheduling the Learning Rate Via Online Hypergradients

Paolo Frasconi, Massimiliano Pontil, Luca Franceschi, 2019, IJCAI.

Learning protein secondary structure from sequential and relational data

Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri, 2005, Neural Networks.

Machine Learning and Knowledge Discovery in Databases

Paolo Frasconi, Jilles Vreeken, 2016, Lecture Notes in Computer Science.

New Machine Learning Methods for the Prediction of Protein Topologies

Paolo Frasconi, Alessandro Vullo, Gianluca Pollastri, 2002 .

Towards Incremental Parsing of Natural Language Using Recursive Neural Networks

Giovanni Soda, Paolo Frasconi, Vincenzo Lombardo, 2003, Applied Intelligence.

Advanced Crawling Techniques

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

Relational Learning for Spatial Relation Extraction from Natural Language

Luc De Raedt, Marie-Francine Moens, Parisa Kordjamshidi, 2011, ILP.

Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines

Yuan Yao, Gian Luca Marcialis, Fabio Roli, 2003, Pattern Recognit..

Ambiguity resolution analysis in incremental parsing of natural language

Giovanni Soda, Paolo Frasconi, Vincenzo Lombardo, 2005, IEEE Transactions on Neural Networks.

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, 2006, Nucleic Acids Res..

Bidirectional IOHMMs and Recurrent Neural Networks for Protein Secondary Structure Prediction

Paolo Frasconi, Gianluca Pollastri, Søren Brunak, 2000 .

An EM approach to grammatical inference: input/output HMMs

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting

Luc De Raedt, Paolo Frasconi, Andrea Passerini, 2006, J. Mach. Learn. Res..

On Tuning Hyper-Parameters of Multiclass Margin Classifiers

Paolo Frasconi, Andrea Passerini, Massimiliano Pontil, 2002 .

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

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

Local Feedback Multilayered Networks

Giovanni Soda, Paolo Frasconi, Marco Gori, 1992, Neural Computation.

ECAI 2002: 15th European conference on artificial intelligence

Giovanni Soda, Paolo Frasconi, Patrick Sturt, 2002 .

Commerce on the Web: Models and Applications

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

Modeling the Internet and the Web: Probabilistic Methods and Algorithms. By Pierre Baldi, Paolo Frasconi, Padhraic Smith, John Wiley and Sons Ltd., West Sussex, England, 2003. 285 pp ISBN 0 470 84906 1

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2006, Inf. Process. Manag..

Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights

Paolo Frasconi, Marco Lippi, P. Frasconi, 2009, Bioinform..

New results on error correcting output codes of kernel machines

Paolo Frasconi, Andrea Passerini, Massimiliano Pontil, 2004, IEEE Transactions on Neural Networks.

Mapping whole-brain activity with cellular resolution by light-sheet microscopy and high-throughput image analysis (Conference Presentation)

Francesco S. Pavone, Paolo Frasconi, Ludovico Silvestri, 2016, SPIE BiOS.

Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis

Giovanni Soda, Paolo Frasconi, Marco Gori, 1994, ICLP Workshop: Logic and Reasoning with Neural Networks.

kFOIL: Learning Simple Relational Kernels

Luc De Raedt, Paolo Frasconi, Andrea Passerini, 2006, AAAI.

A two-stage SVM architecture for predicting the disulfide bonding state of cysteines

Paolo Frasconi, Andrea Passerini, Alessandro Vullo, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Learning in multilayered networks used as autoassociators

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

Learning long-term dependencies with gradient descent is difficult

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard, 1994, IEEE Trans. Neural Networks.

Learning Aggregation Functions pdf

Paolo Frasconi, Manfred Jaeger, Andrea Passerini, 2020, ArXiv.

Learning with Kernels and Logical Representations

Paolo Frasconi, Andrea Passerini, P. Frasconi, 2007, Probabilistic Inductive Logic Programming.

Diffusion of Credit in Markovian Models

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1994, NIPS.

Input/Output HMMs: A Recurrent Bayesian Network View

Paolo Frasconi, 1997 .

Software Tools for Efficient Processing of High-Resolution 3D Images of Macroscopic Brain Samples

Francesco S. Pavone, Paolo Frasconi, Ludovico Silvestri, 2018 .

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories

Roser Morante, Luc De Raedt, Walter Daelemans, 2012, EMNLP.

Text categorization for multi-page documents: a hybrid naive Bayes HMM approach

Giovanni Soda, Paolo Frasconi, Alessandro Vullo, 2001, JCDL '01.

Hidden Recursive Models

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998 .

Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines RID G-2944-2010

Gian Luca Marcialis, Fabio Roli, Paolo Frasconi, 2003 .

Links between LVQ and Backpropagation

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

Merit Award Winners

Paolo Frasconi, Andrea Passerini, Antonio Rosato, 2004, BMC Bioinformatics.

A recursive connectionist approach for predicting disulfide connectivity in proteins

Paolo Frasconi, Alessandro Vullo, P. Frasconi, 2003, SAC '03.

Input-output HMMs for sequence processing

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1996, IEEE Trans. Neural Networks.

Relational information gain

Paolo Frasconi, Andrea Passerini, Manfred Jaeger, 2011, Machine Learning.

Mapping the quantitative cytoarchitecture of the whole mouse brain by light-sheet microscopy and digital brain atlasing (Conference Presentation)

Francesco S. Pavone, Paolo Frasconi, Ludovico Silvestri, 2018 .

Fingerprint Classification with Combinations of Support Vector Machines

Yuan Yao, Paolo Frasconi, Massimiliano Pontil, 2001, AVBPA.

An Input Output HMM Architecture

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1994, NIPS.

The problem of learning long-term dependencies in recurrent networks

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard, 1993, IEEE International Conference on Neural Networks.

Towards a Full Volumetric Atlas of Cell-specific Neuronal Spatial Organization in the Entire Mouse Brain

Francesco S. Pavone, Paolo Frasconi, Ludovico Silvestri, 2018 .

Machine Learning and Knowledge Discovery in Databases

Paolo Frasconi, Jilles Vreeken, Niels Landwehr, 2016, Lecture Notes in Computer Science.

Prediction of protein coarse contact maps using recursive neural networks

Paolo Frasconi, Alessandro Vullo, 2002, Proceedings of the IEEE-EMBS Special Topic Conference on Molecular, Cellular and Tissue Engineering.

Web Structure Mining: Analyse de Liens

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2008 .

Learning to Rank Structured Alternatives: An Application to Incremental Processing of Natural Language

Giovanni Soda, Paolo Frasconi, Vincenzo Lombardo, 2000, ICML 2000.

Learning incremental syntactic structures with recursive neural networks

Giovanni Soda, Paolo Frasconi, Vincenzo Lombardo, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Prediction of Protein Topologies Using GIOHMMs and GRNNs

Paolo Frasconi, Alessandro Vullo, Gianluca Pollastri, 2003, NIPS 2003.

A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy

Paolo Frasconi, Hanchuan Peng, Giulio Iannello, 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

Fast learning of relational kernels

Luc De Raedt, Paolo Frasconi, Andrea Passerini, 2010, Machine Learning.

Credit Assignment through Time: Alternatives to Backpropagation

Yoshua Bengio, Paolo Frasconi, Yoshua Bengio, 1993, NIPS.

KL: A Neural Model for Capturing Structure in Speech

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

Hidden Tree Markov Models for Document Image Classification

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