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Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation., , and . ECAI, volume 215 of Frontiers in Artificial Intelligence and Applications, page 427-432. IOS Press, (2010)Scalable statistical learning: A modular bayesian/markov network approach., , and . IJCNN, page 890-897. IEEE Computer Society, (2009)Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive., , and . INTERSPEECH, page 1805-1808. ISCA, (2003)Speaker normalization with a mixture of recurrent networks., and . ESANN, D-Facto public, (1997)A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs., and . ANNPR, volume 11081 of Lecture Notes in Computer Science, page 78-89. Springer, (2018)A Novel Representation of Graphical Patterns for Graph Convolution Networks., , and . ANNPR, volume 13739 of Lecture Notes in Computer Science, page 16-27. Springer, (2022)Mixtures of Deep Neural Experts for Automated Speech Scoring., , , , and . INTERSPEECH, page 3845-3849. ISCA, (2020)Multivariate Density Estimation with Deep Neural Mixture Models.. CoRR, (2020)Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks.. ANNPR, volume 9896 of Lecture Notes in Computer Science, page 68-79. Springer, (2016)A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins., , and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 257-268. Springer, (2016)