| A Deep Learning Approach for Dynamic Balance Sheet Stress Testing. | 0 | 0.34 | 2022 |
| Behavioral biometrics & continuous user authentication on mobile devices: A survey | 1 | 0.35 | 2021 |
| Dialog Speech Sentiment Classification for Imbalanced Datasets. | 0 | 0.34 | 2021 |
| Stochastic Transformer Networks with Linear Competing Units - Application to end-to-end SL Translation. | 0 | 0.34 | 2021 |
| Power-law mixtures of bayesian forests for value added tax audit case selection. | 0 | 0.34 | 2020 |
| Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. | 1 | 0.37 | 2018 |
| Amortized Context Vector Inference for Sequence-to-Sequence Networks. | 0 | 0.34 | 2018 |
| A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data | 0 | 0.34 | 2018 |
| Latent subspace modeling of sequential data under the maximum entropy discrimination framework. | 0 | 0.34 | 2018 |
| Quantum Statistics-Inspired Neural Attention. | 0 | 0.34 | 2018 |
| A Variational Recurrent Neural Network for Session-Based Recommendations using Bayesian Personalized Ranking. | 0 | 0.34 | 2017 |
| Deep Bayesian Matrix Factorization. | 0 | 0.34 | 2017 |
| A probabilistic approach for failure localization | 0 | 0.34 | 2017 |
| Software defect prediction using doubly stochastic Poisson processes driven by stochastic belief networks. | 4 | 0.39 | 2016 |
| A novel corporate credit rating system based on Student's-t hidden Markov models. | 5 | 0.47 | 2016 |
| Maximum entropy discrimination factor analyzers. | 2 | 0.37 | 2016 |
| Sparse Bayesian Recurrent Neural Networks | 2 | 0.39 | 2015 |
| Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases | 1 | 0.35 | 2015 |
| Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling. | 1 | 0.35 | 2015 |
| Developing Public Transport Network systems: The DIANA approach | 0 | 0.34 | 2014 |
| A Nonstationary Hidden Markov Model With Approximately Infinitely-Long Time-Dependencies | 1 | 0.36 | 2014 |
| A Non-stationary Infinite Partially-Observable Markov Decision Process. | 0 | 0.34 | 2014 |
| Maximum Entropy Discrimination Denoising Autoencoders. | 0 | 0.34 | 2014 |
| A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments. | 0 | 0.34 | 2014 |
| A conditional random field-based model for joint sequence segmentation and classification | 15 | 0.69 | 2013 |
| A latent variable Gaussian process model with Pitman-Yor process priors for multiclass classification. | 0 | 0.34 | 2013 |
| The Infinite-Order Conditional Random Field Model for Sequential Data Modeling | 6 | 0.60 | 2013 |
| Corrigendum to "Maximum-margin classification of sequential data with infinitely-long temporal dependencies" [Expert Systems with Applications 40 (11) (2013) 4519-4527]. | 0 | 0.34 | 2013 |
| Margin-maximizing classification of sequential data with infinitely-long temporal dependencies | 5 | 0.44 | 2013 |
| A Markov random field-regulated Pitman-Yor process prior for spatially constrained data clustering | 5 | 0.41 | 2013 |
| A Mixture Gaussian Process Conditional Heteroscedasticity Model with Power-Law Nature | 0 | 0.34 | 2012 |
| The echo state conditional random field model for sequential data modeling | 1 | 0.35 | 2012 |
| A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling | 1 | 0.36 | 2012 |
| The Kernel Pitman-Yor Process | 0 | 0.34 | 2012 |
| Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models | 1 | 0.35 | 2012 |
| A Quantum-Statistical Approach Toward Robot Learning by Demonstration | 1 | 0.38 | 2012 |
| A possibilistic clustering approach toward generative mixture models | 5 | 0.44 | 2012 |
| A spatially-constrained normalized Gamma process prior | 1 | 0.35 | 2012 |
| A Spatially-Constrained Normalized Gamma Process for Data Clustering. | 0 | 0.34 | 2012 |
| The copula echo state network | 3 | 0.39 | 2012 |
| A reservoir-driven non-stationary hidden Markov model | 2 | 0.43 | 2012 |
| A Coupled Indian Buffet Process Model for Collaborative Filtering. | 2 | 0.38 | 2012 |
| A nonparametric Bayesian approach toward robot learning by demonstration | 14 | 0.70 | 2012 |
| Numerical optimization using synergetic swarms of foraging bacterial populations | 6 | 0.45 | 2011 |
| A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional | 24 | 0.86 | 2011 |
| A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures | 21 | 0.86 | 2011 |
| Deformable probability maps: Probabilistic shape and appearance-based object segmentation | 4 | 0.42 | 2011 |
| Robust Visual Behavior Recognition | 29 | 1.06 | 2010 |
| Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model | 53 | 2.27 | 2009 |
| The infinite Hidden Markov random field model. | 0 | 0.34 | 2009 |
