| Mixtures of Deep Neural Experts for Automated Speech Scoring. | 1 | 0.41 | 2020 |
| Recursive Neural Networks for Density Estimation Over Generalized Random Graphs. | 3 | 0.37 | 2018 |
| Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. | 0 | 0.34 | 2018 |
| Soft-Constrained Neural Networks for Nonparametric Density Estimation. | 0 | 0.34 | 2018 |
| Nonparametric small random networks for graph-structured pattern recognition. | 1 | 0.35 | 2018 |
| Maximum-likelihood normalization of features increases the robustness of neural-based spoken human-computer interaction | 2 | 0.38 | 2015 |
| Emotion recognition from speech signals via a probabilistic echo-state network | 11 | 0.56 | 2015 |
| Techniques for dealing with incomplete data: a tutorial and survey | 12 | 0.72 | 2015 |
| Partially supervised learning for pattern recognition. | 0 | 0.34 | 2014 |
| Combination of supervised and unsupervised learning for training the activation functions of neural networks | 5 | 0.42 | 2014 |
| Pattern classification and clustering: A review of partially supervised learning approaches | 35 | 1.08 | 2014 |
| Hidden Markov models with graph densities for action recognition | 2 | 0.36 | 2013 |
| Towards a novel probabilistic graphical model of sequential data: fundamental notions and a solution to the problem of parameter learning | 3 | 0.51 | 2012 |
| Towards a novel probabilistic graphical model of sequential data: a solution to the problem of structure learning and an empirical evaluation | 3 | 0.44 | 2012 |
| Semi-unsupervised weighted maximum-likelihood estimation of joint densities for the co-training of adaptive activation functions | 3 | 0.73 | 2011 |
| Supervised and unsupervised co-training of adaptive activation functions in neural nets | 5 | 0.83 | 2011 |
| Recognition of sequences of graphical patterns | 0 | 0.34 | 2010 |
| Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation | 3 | 0.43 | 2010 |
| Maximum echo-state-likelihood networks for emotion recognition | 2 | 0.39 | 2010 |
| A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains | 3 | 0.40 | 2009 |
| Scalable statistical learning: a modular Bayesian/Markov network approach | 5 | 0.61 | 2009 |
| Scalable pseudo-likelihood estimation in hybrid random fields | 9 | 0.73 | 2009 |
| Classification of graphical data made easy | 2 | 0.36 | 2009 |
| Classification of molecular structures made easy | 1 | 0.35 | 2008 |
| A simple and effective neural model for the classification of structured patterns | 2 | 0.39 | 2007 |
| Unbiased SVM density estimation with application to graphical pattern recognition | 0 | 0.34 | 2007 |
| Neural-based downlink scheduling algorithm for broadband wireless networks | 16 | 0.94 | 2007 |
| Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer. | 4 | 0.71 | 2006 |
| A novel connectionist-oriented feature normalization technique | 1 | 0.36 | 2006 |
| Simple and effective connectionist nonparametric estimation of probability density functions | 4 | 0.49 | 2006 |
| Feature Normalization via ANN/HMM Inversion for Speech Recognition Under Noisy Conditions | 0 | 0.34 | 2005 |
| Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition | 1 | 0.43 | 2003 |
| Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive | 1 | 0.36 | 2003 |
| Noise-tolerant speech recognition: the SNN-TA approach | 3 | 0.43 | 2003 |
| Toward noise-tolerant acoustic models | 1 | 0.38 | 2001 |
| A Mixture of Recurrent Neural Networks for Speaker Normalisation | 5 | 0.46 | 2001 |
| Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model | 4 | 0.55 | 2001 |
| Networks with trainable amplitude of activation functions. | 48 | 2.99 | 2001 |
| A survey of hybrid ANN/HMM models for automatic speech recognition | 69 | 4.64 | 2001 |
| Learning Perception For Indoor Robot Navigation With A Hybrid Hidden Markov Model/Recurrent Neural Networks Approach | 4 | 0.41 | 1999 |
| Estimating the crowding level with a neuro-fuzzy classifier | 1 | 0.49 | 1997 |
| Speaker Normalization and Model Selection of Combined Neural Networks | 4 | 0.55 | 1997 |
| Speaker normalization with a mixture of recurrent networks | 4 | 0.67 | 1997 |
| Applications Of Generalized Radial Basis Functions In Speaker Normalization And Identification | 0 | 0.34 | 1995 |
| Connectionist Speaker Normalization with Generalized Resource Allocating Networks | 3 | 1.21 | 1994 |
