Edmondo Trentin

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 16

Top Topics

Density Estimation

Supervised Learning

Top Venues

Pattern Recognit. Lett.

Neural Process. Lett.

Publications

Vincenzo Laveglia, Edmondo Trentin
Downward-Growing Neural Networks. Entropy 25 (5) (2023)
Edmondo Trentin
Multivariate Density Estimation with Deep Neural Mixture Models. Neural Process. Lett. 55 (7) (2023)
Marco Benini, Pietro Bongini, Edmondo Trentin
A Novel Representation of Graphical Patterns for Graph Convolution Networks. ANNPR (2022)
Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna
Mixtures of Deep Neural Experts for Automated Speech Scoring. CoRR (2021)
Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna
Mixtures of Deep Neural Experts for Automated Speech Scoring. INTERSPEECH (2020)
Edmondo Trentin
Multivariate Density Estimation with Deep Neural Mixture Models. CoRR (2020)
Edmondo Trentin
Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation. ANNPR (2018)
Edmondo Trentin
Soft-Constrained Neural Networks for Nonparametric Density Estimation. Neural Process. Lett. 48 (2) (2018)
Marco Bongini, Leonardo Rigutini, Edmondo Trentin
Recursive Neural Networks for Density Estimation Over Generalized Random Graphs. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Edmondo Trentin, Luca Lusnig, Fabio Cavalli
Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology. Neural Networks 97 (2018)
Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin
Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. Neural Process. Lett. 48 (2) (2018)
Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. Neural Process. Lett. 48 (2) (2018)
Vincenzo Laveglia, Edmondo Trentin
A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs. ANNPR (2018)
Edmondo Trentin, Ernesto Di Iorio
Nonparametric small random networks for graph-structured pattern recognition. Neurocomputing 313 (2018)
Marco Bongini, Vincenzo Laveglia, Edmondo Trentin
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins. ANNPR (2016)
Edmondo Trentin
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks. ANNPR (2016)
Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker
Emotion recognition from speech signals via a probabilistic echo-state network. Pattern Recognit. Lett. 66 (2015)
Edmondo Trentin
Maximum-likelihood normalization of features increases the robustness of neural-based spoken human-computer interaction. Pattern Recognit. Lett. 66 (2015)
Marco Aste, Massimo Boninsegna, Antonino Freno, Edmondo Trentin
Techniques for dealing with incomplete data: a tutorial and survey. Pattern Anal. Appl. 18 (1) (2015)
Ilaria Castelli, Edmondo Trentin
Combination of supervised and unsupervised learning for training the activation functions of neural networks. Pattern Recognit. Lett. 37 (2014)
Friedhelm Schwenker, Edmondo Trentin
Pattern classification and clustering: A review of partially supervised learning approaches. Pattern Recognit. Lett. 37 (2014)
Friedhelm Schwenker, Edmondo Trentin
Partially supervised learning for pattern recognition. Pattern Recognit. Lett. 37 (2014)
Michael Glodek, Edmondo Trentin, Friedhelm Schwenker, Günther Palm
Hidden Markov models with graph densities for action recognition. IJCNN (2013)
Edmondo Trentin, Marco Bongini
Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning. ANNPR (2012)
Marco Bongini, Edmondo Trentin
Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation. ANNPR (2012)
Edmondo Trentin, Luca Lusnig, Fabio Cavalli
Comparison of Combined Probabilistic Connectionist Models in a Forensic Application. PSL (2011)
Ilaria Castelli, Edmondo Trentin
Supervised and Unsupervised Co-training of Adaptive Activation Functions in Neural Nets. PSL (2011)
Ilaria Castelli, Edmondo Trentin
Semi-unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-training of Adaptive Activation Functions. PSL (2011)
Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker
Maximum Echo-State-Likelihood Networks for Emotion Recognition. ANNPR (2010)
Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner
Recognition of Sequences of Graphical Patterns. ANNPR (2010)
Antonino Freno, Edmondo Trentin, Marco Gori
Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation. ECAI (2010)
Antonino Freno, Edmondo Trentin, Marco Gori
A hybrid random field model for scalable statistical learning. Neural Networks 22 (5-6) (2009)
Edmondo Trentin, Ernesto Di Iorio
Classification of graphical data made easy. Neurocomputing 73 (1-3) (2009)
Edmondo Trentin, Antonino Freno
Unsupervised nonparametric density estimation: A neural network approach. IJCNN (2009)
Edmondo Trentin, Leonardo Rigutini
A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains. ICANN (1) (2009)
Antonino Freno, Edmondo Trentin, Marco Gori
Scalable pseudo-likelihood estimation in hybrid random fields. KDD (2009)
Antonino Freno, Edmondo Trentin, Marco Gori
Scalable statistical learning: A modular bayesian/markov network approach. IJCNN (2009)
Edmondo Trentin, Ernesto Di Iorio
Classification of molecular structures made easy. IJCNN (2008)
Edmondo Trentin, Ernesto Di Iorio
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition. ICANN (2) (2007)
Edmondo Trentin, Ernesto Di Iorio
A Simple and Effective Neural Model for the Classification of Structured Patterns. KES (1) (2007)
Pasquale Fiengo, Giovanni Giambene, Edmondo Trentin
Neural-based downlink scheduling algorithm for broadband wireless networks. Comput. Commun. 30 (2) (2007)
Edmondo Trentin
A Novel Connectionist-Oriented Feature Normalization Technique. ICANN (2) (2006)
Edmondo Trentin
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions. ANNPR (2006)
Edmondo Trentin, Marco Gori
Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer. Neurocomputing 70 (1-3) (2006)
Edmondo Trentin, Marco Gori
Feature Normalization via ANN/HMM Inversion for Speech Recognition Under Noisy Conditions. MMSP (2005)
Edmondo Trentin, Marco Matassoni
Noise-tolerant speech recognition: the SNN-TA approach. Inf. Sci. 156 (1-2) (2003)
Edmondo Trentin
Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition. WIRN (2003)
Edmondo Trentin, Marco Gori
Robust combination of neural networks and hidden Markov models for speech recognition. IEEE Trans. Neural Networks 14 (6) (2003)
Edmondo Trentin, Marco Matassoni, Marco Gori
Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive. INTERSPEECH (2003)
Edmondo Trentin
Networks with trainable amplitude of activation functions. Neural Networks 14 (4-5) (2001)
Edmondo Trentin, Diego Giuliani
A Mixture of Recurrent Neural Networks for Speaker Normalisation. Neural Comput. Appl. 10 (2) (2001)
Edmondo Trentin, Marco Gori
Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model. ICANN (2001)
Edmondo Trentin, Marco Gori
A survey of hybrid ANN/HMM models for automatic speech recognition. Neurocomputing 37 (1-4) (2001)
Edmondo Trentin, Marco Gori
Toward noise-tolerant acoustic models. INTERSPEECH (2001)
Edmondo Trentin, Marco Matassoni
The Regularized SNN-TA Model for Recognition of Noisy Speech. IJCNN (5) (2000)
Edmondo Trentin
Activation functions with learnable amplitude. IJCNN (1999)
Edmondo Trentin, Roldano Cattoni
Learning Perception for Indoor Robot Navigation with a Hybrid Hidden Markov Model/Recurrent Neural Networks Approach. Connect. Sci. 11 (3-4) (1999)
Edmondo Trentin, Diego Giuliani
Speaker normalization with a mixture of recurrent networks. ESANN (1997)
Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Stefano Merler
Speaker Normalization and Model Selection of Combined Neural Networks. Connect. Sci. 9 (1) (1997)
Massimo Boninsegna, Tarcisio Coianiz, Edmondo Trentin
Estimating the crowding level with a neuro-fuzzy classifier. J. Electronic Imaging 6 (3) (1997)
Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Daniele Falavigna
Application of Generalized Radial Basis Functions In Speaker Normalization and Identification. ISCAS (1995)
Cesare Furlanello, Diego Giuliani, Edmondo Trentin
Connectionist Speaker Normalization with Generalized Resource Allocating Networks. NIPS (1994)