Sfoglia per Autore
Deep Learning
2023-01-01 Gori, M.; Precioso, F.; Trentin, E.
Multivariate Density Estimation with Deep Neural Mixture Models
2023-01-01 Trentin, E
Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings
2023-01-01 El Gayar, N.; Trentin, E.; Ravanelli, M.; Abbas, H.
Downward-Growing Neural Networks
2023-01-01 Laveglia, V.; Trentin, E.
A Novel Representation of Graphical Patterns for Graph Convolution Networks
2022-01-01 Benini, M.; Bongini, P.; Trentin, E.
A Neural Probabilistic Graphical Model for Learning and Decision Making in Evolving Structured Environments
2022-01-01 Trentin, E.
Asymptotic convergence of soft-constrained neural networks for density estimation
2020-01-01 Trentin, E.
Mixtures of Deep Neural Experts for Automated Speech Scoring
2020-01-01 Papi, Sara; Trentin, Edmondo; Gretter, Roberto; Matassoni, Marco; Falavigna, Daniele
Recursive neural networks for density estimation over generalized random graphs
2018-01-01 Bongini, M.; Trentin, E.; Rigutini, L.
Parzen neural networks: fundamentals, properties, and an application to forensic anthropology
2018-01-01 Trentin, E.; Lusnig, Luca; Cavalli, F.
Dynamic hybrid random fields for the probabilistic graphical modeling of sequential data: definitions, algorithms, and an application to bioinformatics
2018-01-01 Bongini, M.; Freno, A.; Laveglia, V.; Trentin, E.
Soft-constrained neural networks for nonparametric density estimation
2018-01-01 Trentin, Edmondo
Use of pattern recognition and neural networks for non-metric sex diagnosis from lateral shape of calvarium: an innovative model for computer-aided diagnosis in forensic and physical anthropology
2017-01-01 Cavalli, Fabio; Lusnig, Luca; Trentin, Edmondo
Proceedings of the 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition
2016-01-01 Schwenker, F; Abbas, Hm; El Gayar, N; Trentin, Edmondo
Probabilistically grounded unsupervised training of neural networks
2016-01-01 Trentin, Edmondo; Bongini, Marco
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins
2016-01-01 Bongini, M.; Laveglia, V.; Trentin, E.
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks
2016-01-01 Trentin, Edmondo
On semi-supervised clustering
2015-01-01 Bongini, Marco; Trentin, Edmondo; Schwenker, Friedhelm
Emotion recognition from speech signals via a probabilistic echo-state network
2015-01-01 Trentin, Edmondo; Scherer, Stefan; Schwenker, Friedhelm
Techniques for dealing with incomplete data: a tutorial and survey
2015-01-01 Aste, Marco; Boninsegna, Massimo; Freno, Antonino; Trentin, Edmondo
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