Edmondo Trentin

According to our database, Edmondo Trentin authored at least 62 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multivariate Density Estimation with Deep Neural Mixture Models.

Edmondo Trentin

Neural Process. Lett., December, 2023

Downward-Growing Neural Networks.

Vincenzo Laveglia, Edmondo Trentin

Entropy, 2023

2022

A Novel Representation of Graphical Patterns for Graph Convolution Networks.

Marco Benini, Pietro Bongini, Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022

2020

Mixtures of Deep Neural Experts for Automated Speech Scoring.

Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna

Proceedings of the Interspeech 2020, 2020

2018

Recursive Neural Networks for Density Estimation Over Generalized Random Graphs.

Marco Bongini, Leonardo Rigutini, Edmondo Trentin

IEEE Trans. Neural Networks Learn. Syst., 2018

Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition.

Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas

Neural Process. Lett., 2018

Soft-Constrained Neural Networks for Nonparametric Density Estimation.

Edmondo Trentin

Neural Process. Lett., 2018

Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics.

Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin

Neural Process. Lett., 2018

Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology.

Edmondo Trentin, Luca Lusnig, Fabio Cavalli

Neural Networks, 2018

Nonparametric small random networks for graph-structured pattern recognition.

Edmondo Trentin, Ernesto Di Iorio

Neurocomputing, 2018

Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation.

Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs.

Vincenzo Laveglia, Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2016

Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks.

Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins.

Marco Bongini, Vincenzo Laveglia, Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Emotion recognition from speech signals via a probabilistic echo-state network.

Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker

Pattern Recognit. Lett., 2015

Maximum-likelihood normalization of features increases the robustness of neural-based spoken human-computer interaction.

Edmondo Trentin

Pattern Recognit. Lett., 2015

Techniques for dealing with incomplete data: a tutorial and survey.

Marco Aste, Massimo Boninsegna, Antonino Freno, Edmondo Trentin

Pattern Anal. Appl., 2015

2014

Pattern classification and clustering: A review of partially supervised learning approaches.

Friedhelm Schwenker, Edmondo Trentin

Pattern Recognit. Lett., 2014

Partially supervised learning for pattern recognition.

Friedhelm Schwenker, Edmondo Trentin

Pattern Recognit. Lett., 2014

Combination of supervised and unsupervised learning for training the activation functions of neural networks.

Ilaria Castelli, Edmondo Trentin

Pattern Recognit. Lett., 2014

2013

Hidden Markov models with graph densities for action recognition.

Michael Glodek, Edmondo Trentin, Friedhelm Schwenker, Günther Palm

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning.

Edmondo Trentin, Marco Bongini

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation.

Marco Bongini, Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

2011

Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models

Antonino Freno, Edmondo Trentin

Intelligent Systems Reference Library 15, Springer, ISBN: 978-3-642-20307-7, 2011

Comparison of Combined Probabilistic Connectionist Models in a Forensic Application.

Edmondo Trentin, Luca Lusnig, Fabio Cavalli

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Semi-unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-training of Adaptive Activation Functions.

Ilaria Castelli, Edmondo Trentin

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Supervised and Unsupervised Co-training of Adaptive Activation Functions in Neural Nets.

Ilaria Castelli, Edmondo Trentin

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

2010

Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation.

Antonino Freno, Edmondo Trentin, Marco Gori

Proceedings of the ECAI 2010, 2010

Recognition of Sequences of Graphical Patterns.

Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Maximum Echo-State-Likelihood Networks for Emotion Recognition.

Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009

Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs.

Edmondo Trentin, Antonino Freno

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

A hybrid random field model for scalable statistical learning.

Antonino Freno, Edmondo Trentin, Marco Gori

Neural Networks, 2009

Classification of graphical data made easy.

Edmondo Trentin, Ernesto Di Iorio

Neurocomputing, 2009

Scalable pseudo-likelihood estimation in hybrid random fields.

Antonino Freno, Edmondo Trentin, Marco Gori

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Unsupervised nonparametric density estimation: A neural network approach.

Edmondo Trentin, Antonino Freno

Proceedings of the International Joint Conference on Neural Networks, 2009

Scalable statistical learning: A modular bayesian/markov network approach.

Antonino Freno, Edmondo Trentin, Marco Gori

Proceedings of the International Joint Conference on Neural Networks, 2009

A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.

Edmondo Trentin, Leonardo Rigutini

Proceedings of the Artificial Neural Networks, 2009

2008

Classification of molecular structures made easy.

Edmondo Trentin, Ernesto Di Iorio

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Neural-based downlink scheduling algorithm for broadband wireless networks.

Pasquale Fiengo, Giovanni Giambene, Edmondo Trentin

Comput. Commun., 2007

A Simple and Effective Neural Model for the Classification of Structured Patterns.

Edmondo Trentin, Ernesto Di Iorio

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition.

Edmondo Trentin, Ernesto Di Iorio

Proceedings of the Artificial Neural Networks, 2007

2006

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

Edmondo Trentin, Marco Gori

Neurocomputing, 2006

A Novel Connectionist-Oriented Feature Normalization Technique.

Edmondo Trentin

Proceedings of the Artificial Neural Networks, 2006

Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions.

Edmondo Trentin

Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005

Feature Normalization via ANN/HMM Inversion for Speech Recognition Under Noisy Conditions.

Edmondo Trentin, Marco Gori

Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing, 2005

2003

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

Edmondo Trentin, Marco Gori

IEEE Trans. Neural Networks, 2003

Noise-tolerant speech recognition: the SNN-TA approach.

Edmondo Trentin, Marco Matassoni

Inf. Sci., 2003

Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition.

Edmondo Trentin

Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

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

Edmondo Trentin, Marco Matassoni, Marco Gori

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2001

Networks with trainable amplitude of activation functions.

Edmondo Trentin

Neural Networks, 2001

A Mixture of Recurrent Neural Networks for Speaker Normalisation.

Edmondo Trentin, Diego Giuliani

Neural Comput. Appl., 2001

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

Edmondo Trentin, Marco Gori

Neurocomputing, 2001

Toward noise-tolerant acoustic models.

Edmondo Trentin, Marco Gori

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model.

Edmondo Trentin, Marco Gori

Proceedings of the Artificial Neural Networks, 2001

2000

The Regularized SNN-TA Model for Recognition of Noisy Speech.

Edmondo Trentin, Marco Matassoni

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Learning Perception for Indoor Robot Navigation with a Hybrid Hidden Markov Model/Recurrent Neural Networks Approach.

Edmondo Trentin, Roldano Cattoni

Connect. Sci., 1999

Activation functions with learnable amplitude.

Edmondo Trentin

Proceedings of the International Joint Conference Neural Networks, 1999

1997

Estimating the crowding level with a neuro-fuzzy classifier.

Massimo Boninsegna, Tarcisio Coianiz, Edmondo Trentin

J. Electronic Imaging, 1997

Speaker Normalization and Model Selection of Combined Neural Networks.

Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Stefano Merler

Connect. Sci., 1997

Speaker normalization with a mixture of recurrent networks.

Edmondo Trentin, Diego Giuliani

Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1995

Application of Generalized Radial Basis Functions In Speaker Normalization and Identification.

Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Daniele Falavigna

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

1994

Connectionist Speaker Normalization with Generalized Resource Allocating Networks.

Cesare Furlanello, Diego Giuliani, Edmondo Trentin

Proceedings of the Advances in Neural Information Processing Systems 7, 1994