Edmondo Trentin

75 papers A* 1A 4B 7C 3Journal 30Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Employing Discrete Fourier Transform in Representational Learning. CoRR Raoof HojatJalali, Edmondo Trentin
2025	J	`jnl`	GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks. Neural Process. Lett. Marco Benini, Pietro Bongini, Edmondo Trentin
2024	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10-12, 2024, Proceedings ANNPR Ching Yee Suen, Adam Krzyzak, Mirco Ravanelli, Edmondo Trentin, Cem Subakan, Nicola Nobile
2024	—	`conf`	Automatic Interpretation of ANNPR Natasha Sharma, Sona Balogova, Lucia Noskovicova, Françoise Montravers, Jean-Noël Talbot, Edmondo Trentin
2024	—	`conf`	Gaussian-Mixture Neural Networks. ANNPR Duccio Meconcelli, Edmondo Trentin
2023	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings ANNPR Neamat El Gayar, Edmondo Trentin, Mirco Ravanelli, Hazem Abbas
2023	J	`jnl`	Downward-Growing Neural Networks. Entropy Vincenzo Laveglia, Edmondo Trentin
2023	J	`jnl`	Multivariate Density Estimation with Deep Neural Mixture Models. Neural Process. Lett. Edmondo Trentin
2022	—	`conf`	A Novel Representation of Graphical Patterns for Graph Convolution Networks. ANNPR Marco Benini, Pietro Bongini, Edmondo Trentin
2021	J	`jnl`	Mixtures of Deep Neural Experts for Automated Speech Scoring. CoRR Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna
2020	A	`conf`	Mixtures of Deep Neural Experts for Automated Speech Scoring. INTERSPEECH Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna
2020	J	`jnl`	Multivariate Density Estimation with Deep Neural Mixture Models. CoRR Edmondo Trentin
2018	—	`conf`	A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs. ANNPR Vincenzo Laveglia, Edmondo Trentin
2018	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings ANNPR Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin
2018	J	`jnl`	Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. Neural Process. Lett. Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin
2018	—	`conf`	Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation. ANNPR Edmondo Trentin
2018	J	`jnl`	Nonparametric small random networks for graph-structured pattern recognition. Neurocomputing Edmondo Trentin, Ernesto Di Iorio
2018	J	`jnl`	Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. Neural Process. Lett. Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas
2018	J	`jnl`	Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology. Neural Networks Edmondo Trentin, Luca Lusnig, Fabio Cavalli
2018	J	`jnl`	Recursive Neural Networks for Density Estimation Over Generalized Random Graphs. IEEE Trans. Neural Networks Learn. Syst. Marco Bongini, Leonardo Rigutini, Edmondo Trentin
2018	J	`jnl`	Soft-Constrained Neural Networks for Nonparametric Density Estimation. Neural Process. Lett. Edmondo Trentin
2016	—	`conf`	A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins. ANNPR Marco Bongini, Vincenzo Laveglia, Edmondo Trentin
2016	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings ANNPR Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin
2016	—	`conf`	Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks. ANNPR Edmondo Trentin
2015	J	`jnl`	Emotion recognition from speech signals via a probabilistic echo-state network. Pattern Recognit. Lett. Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker
2015	J	`jnl`	Maximum-likelihood normalization of features increases the robustness of neural-based spoken human-computer interaction. Pattern Recognit. Lett. Edmondo Trentin
2015	J	`jnl`	Techniques for dealing with incomplete data: a tutorial and survey. Pattern Anal. Appl. Marco Aste, Massimo Boninsegna, Antonino Freno, Edmondo Trentin
2014	J	`jnl`	Combination of supervised and unsupervised learning for training the activation functions of neural networks. Pattern Recognit. Lett. Ilaria Castelli, Edmondo Trentin
2014	J	`jnl`	Partially supervised learning for pattern recognition. Pattern Recognit. Lett. Friedhelm Schwenker, Edmondo Trentin
2014	J	`jnl`	Pattern classification and clustering: A review of partially supervised learning approaches. Pattern Recognit. Lett. Friedhelm Schwenker, Edmondo Trentin
2013	B	`conf`	Hidden Markov models with graph densities for action recognition. IJCNN Michael Glodek, Edmondo Trentin, Friedhelm Schwenker, Günther Palm
2012	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings ANNPR Nadia Mana, Friedhelm Schwenker, Edmondo Trentin
2012	—	`ed.`	Partially Supervised Learning - First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers PSL Friedhelm Schwenker, Edmondo Trentin
2012	—	`conf`	Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation. ANNPR Marco Bongini, Edmondo Trentin
2012	—	`conf`	Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning. ANNPR Edmondo Trentin, Marco Bongini
2011	—	`conf`	Comparison of Combined Probabilistic Connectionist Models in a Forensic Application. PSL Edmondo Trentin, Luca Lusnig, Fabio Cavalli
2011	—	`book`	Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models Antonino Freno, Edmondo Trentin
2011	—	`conf`	Semi-unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-training of Adaptive Activation Functions. PSL Ilaria Castelli, Edmondo Trentin
2011	—	`conf`	Supervised and Unsupervised Co-training of Adaptive Activation Functions in Neural Nets. PSL Ilaria Castelli, Edmondo Trentin
2010	A	`conf`	Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation. ECAI Antonino Freno, Edmondo Trentin, Marco Gori
2010	—	`conf`	Maximum Echo-State-Likelihood Networks for Emotion Recognition. ANNPR Edmondo Trentin, Stefan Scherer, Friedhelm Schwenker
2010	—	`conf`	Recognition of Sequences of Graphical Patterns. ANNPR Edmondo Trentin, Shujia Zhang, Markus Hagenbuchner
2009	—	`conf`	A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains. ICANN (1) Edmondo Trentin, Leonardo Rigutini
2009	J	`jnl`	A hybrid random field model for scalable statistical learning. Neural Networks Antonino Freno, Edmondo Trentin, Marco Gori
2009	J	`jnl`	Classification of graphical data made easy. Neurocomputing Edmondo Trentin, Ernesto Di Iorio
2009	—	`ch.`	Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs. Innovations in Neural Information Paradigms and Applications Edmondo Trentin, Antonino Freno
2009	A*	`conf`	Scalable pseudo-likelihood estimation in hybrid random fields. KDD Antonino Freno, Edmondo Trentin, Marco Gori
2009	B	`conf`	Scalable statistical learning: A modular bayesian/markov network approach. IJCNN Antonino Freno, Edmondo Trentin, Marco Gori
2009	B	`conf`	Unsupervised nonparametric density estimation: A neural network approach. IJCNN Edmondo Trentin, Antonino Freno
2008	B	`conf`	Classification of molecular structures made easy. IJCNN Edmondo Trentin, Ernesto Di Iorio
2007	—	`conf`	A Simple and Effective Neural Model for the Classification of Structured Patterns. KES (1) Edmondo Trentin, Ernesto Di Iorio
2007	J	`jnl`	Neural-based downlink scheduling algorithm for broadband wireless networks. Comput. Commun. Pasquale Fiengo, Giovanni Giambene, Edmondo Trentin
2007	—	`conf`	Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition. ICANN (2) Edmondo Trentin, Ernesto Di Iorio
2006	—	`conf`	A Novel Connectionist-Oriented Feature Normalization Technique. ICANN (2) Edmondo Trentin
2006	J	`jnl`	Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer. Neurocomputing Edmondo Trentin, Marco Gori
2006	—	`conf`	Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions. ANNPR Edmondo Trentin
2005	C	`conf`	Feature Normalization via ANN/HMM Inversion for Speech Recognition Under Noisy Conditions. MMSP Edmondo Trentin, Marco Gori
2003	A	`conf`	Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive. INTERSPEECH Edmondo Trentin, Marco Matassoni, Marco Gori
2003	J	`jnl`	Noise-tolerant speech recognition: the SNN-TA approach. Inf. Sci. Edmondo Trentin, Marco Matassoni
2003	—	`conf`	Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition. WIRN Edmondo Trentin
2003	J	`jnl`	Robust combination of neural networks and hidden Markov models for speech recognition. IEEE Trans. Neural Networks Edmondo Trentin, Marco Gori
2003	B	`conf`	Toward a modular connectionist model of local chlorophyll concentration from satellite images. IJCNN Edmondo Trentin, Letizia Magnoni, Alfio Andronico
2001	J	`jnl`	A Mixture of Recurrent Neural Networks for Speaker Normalisation. Neural Comput. Appl. Edmondo Trentin, Diego Giuliani
2001	J	`jnl`	A survey of hybrid ANN/HMM models for automatic speech recognition. Neurocomputing Edmondo Trentin, Marco Gori
2001	C	`conf`	Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model. ICANN Edmondo Trentin, Marco Gori
2001	J	`jnl`	Networks with trainable amplitude of activation functions. Neural Networks Edmondo Trentin
2001	A	`conf`	Toward noise-tolerant acoustic models. INTERSPEECH Edmondo Trentin, Marco Gori
2000	—	`conf`	The Regularized SNN-TA Model for Recognition of Noisy Speech. IJCNN (5) Edmondo Trentin, Marco Matassoni
1999	B	`conf`	Activation functions with learnable amplitude. IJCNN Edmondo Trentin
1999	J	`jnl`	Learning Perception for Indoor Robot Navigation with a Hybrid Hidden Markov Model/Recurrent Neural Networks Approach. Connect. Sci. Edmondo Trentin, Roldano Cattoni
1997	J	`jnl`	Estimating the crowding level with a neuro-fuzzy classifier. J. Electronic Imaging Massimo Boninsegna, Tarcisio Coianiz, Edmondo Trentin
1997	J	`jnl`	Speaker Normalization and Model Selection of Combined Neural Networks. Connect. Sci. Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Stefano Merler
1997	B	`conf`	Speaker normalization with a mixture of recurrent networks. ESANN Edmondo Trentin, Diego Giuliani
1995	C	`conf`	Application of Generalized Radial Basis Functions In Speaker Normalization and Identification. ISCAS Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Daniele Falavigna
1994	—	`conf`	Connectionist Speaker Normalization with Generalized Resource Allocating Networks. NIPS Cesare Furlanello, Diego Giuliani, Edmondo Trentin