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Titolo Data di pubblicazione Autore(i) File Abstract
GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks 1-gen-2025 Benini, Marco; Bongini, Pietro; Trentin, Edmondo -
Downward-Growing Neural Networks 1-gen-2023 Laveglia, V.; Trentin, E. -
Multivariate Density Estimation with Deep Neural Mixture Models 1-gen-2023 Trentin, E. -
Deep Learning 1-gen-2023 Gori, M.; Precioso, F.; Trentin, E. -
Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings 1-gen-2023 El Gayar, N.; Trentin, E.; Ravanelli, M.; Abbas, H. -
A Novel Representation of Graphical Patterns for Graph Convolution Networks 1-gen-2023 Benini, Marco; Bongini, Pietro; Trentin, Edmondo -
A Neural Probabilistic Graphical Model for Learning and Decision Making in Evolving Structured Environments 1-gen-2022 Trentin, E. -
Asymptotic convergence of soft-constrained neural networks for density estimation 1-gen-2020 Trentin, E. -
Mixtures of Deep Neural Experts for Automated Speech Scoring 1-gen-2020 Papi, S.; Trentin, E.; Gretter, R.; Matassoni, M.; Falavigna, D. -
Recursive neural networks for density estimation over generalized random graphs 1-gen-2018 Bongini, M.; Trentin, E.; Rigutini, L. -
Parzen neural networks: fundamentals, properties, and an application to forensic anthropology 1-gen-2018 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 1-gen-2018 Bongini, M.; Freno, A.; Laveglia, V.; Trentin, E. -
Soft-constrained neural networks for nonparametric density estimation 1-gen-2018 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 1-gen-2017 Cavalli, Fabio; Lusnig, Luca; Trentin, Edmondo -
Proceedings of the 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition 1-gen-2016 Schwenker, F; Abbas, Hm; El Gayar, N; Trentin, Edmondo -
Probabilistically grounded unsupervised training of neural networks 1-gen-2016 Trentin, Edmondo; Bongini, Marco -
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks 1-gen-2016 Trentin, Edmondo -
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins 1-gen-2016 Bongini, M.; Laveglia, V.; Trentin, E. -
On semi-supervised clustering 1-gen-2015 Bongini, Marco; Trentin, Edmondo; Schwenker, Friedhelm -
Maximum-likelihood normalization of features increases the robustness of neural-based spoken human-computer interaction 1-gen-2015 Trentin, Edmondo -
Mostrati risultati da 1 a 20 di 80
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