| Temporal Subspace Clustering for Human Motion Segmentation | Dec 1, 2015 | ClusteringMotion Segmentation | —Unverified | 0 |
| GP Kernels for Cross-Spectrum Analysis | Dec 1, 2015 | Gaussian ProcessesTime Series | —Unverified | 0 |
| Sequential visibility-graph motifs | Dec 1, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Rate-Agnostic (Causal) Structure Learning | Dec 1, 2015 | AllTime Series | —Unverified | 0 |
| Minimax Time Series Prediction | Dec 1, 2015 | PredictionTime Series | —Unverified | 0 |
| Bidirectional Recurrent Neural Networks as Generative Models | Dec 1, 2015 | Bayesian InferenceTime Series | —Unverified | 0 |
| Learning Theory and Algorithms for Forecasting Non-stationary Time Series | Dec 1, 2015 | Learning TheoryTime Series | —Unverified | 0 |
| Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels | Dec 1, 2015 | DenoisingGaussian Processes | —Unverified | 0 |
| Recognizing Temporal Linguistic Expression Pattern of Individual with Suicide Risk on Social Media | Nov 30, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| The Automatic Statistician: A Relational Perspective | Nov 26, 2015 | Gaussian ProcessesTime Series | —Unverified | 0 |
| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 |
| Learning Representations Using Complex-Valued Nets | Nov 19, 2015 | Representation LearningTime Series | —Unverified | 0 |
| Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks | Nov 19, 2015 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Graph-based denoising for time-varying point clouds | Nov 16, 2015 | DenoisingTime Series | —Unverified | 0 |
| Probabilistic Segmentation via Total Variation Regularization | Nov 16, 2015 | Density EstimationSegmentation | —Unverified | 0 |
| A genetic algorithm to discover flexible motifs with support | Nov 16, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Signal Fluctuation Sensitivity: an improved metric for optimizing detection of resting-state fMRI networks | Nov 13, 2015 | SensitivityTime Series | —Unverified | 0 |
| Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling | Nov 13, 2015 | Stochastic OptimizationTime Series | —Unverified | 0 |
| Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model | Nov 11, 2015 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Learning to Diagnose with LSTM Recurrent Neural Networks | Nov 11, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Instantaneous Modelling and Reverse Engineering of DataConsistent Prime Models in Seconds! | Nov 11, 2015 | parameter estimationTime Series | —Unverified | 0 |
| A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property | Nov 8, 2015 | AllGeneral Classification | —Unverified | 0 |
| Prediction of Dynamical time Series Using Kernel Based Regression and Smooth Splines | Oct 31, 2015 | Denoisingregression | —Unverified | 0 |
| Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series | Oct 28, 2015 | Change DetectionTime Series | —Unverified | 0 |
| Blitzkriging: Kronecker-structured Stochastic Gaussian Processes | Oct 27, 2015 | Gaussian ProcessesGeneral Classification | —Unverified | 0 |