| Deep autoregressive models with spectral attention | 0 | 0.34 | 2023 |
| Multi-Source Change-Point Detection over Local Observation Models | 0 | 0.34 | 2023 |
| Unsupervised learning of global factors in deep generative models | 0 | 0.34 | 2023 |
| Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection | 0 | 0.34 | 2022 |
| Medical Data Wrangling With Sequential Variational Autoencoders | 0 | 0.34 | 2022 |
| Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health | 0 | 0.34 | 2020 |
| Assessment of e-Social Activity in Psychiatric Patients. | 1 | 0.40 | 2019 |
| Deep Sequential Models for Suicidal Ideation from Multiple Source Data. | 0 | 0.34 | 2019 |
| Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. | 0 | 0.34 | 2019 |
| A Comparison Of Clipping Strategies For Importance Sampling. | 0 | 0.34 | 2018 |
| Change-point detection in hierarchical circadian models | 0 | 0.34 | 2018 |
| Heterogeneous Multi-output Gaussian Process Prediction. | 2 | 0.38 | 2018 |
| Particle Filter Tracking Of Complex Stochastic Systems Applied To In Silico Wavefront Propagation | 0 | 0.34 | 2018 |
| Patient-Tailored In Silico 3d Simulations And Models From Electroanatomical Maps Of The Left Atrium | 0 | 0.34 | 2018 |
| Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution. | 1 | 0.35 | 2018 |
| Active Sensing in Human Activity Recognition. | 0 | 0.34 | 2017 |
| Human Activity Recognition by Combining a Small Number of Classifiers. | 8 | 0.66 | 2016 |
| Smelly Parallel Mcmc Chains | 3 | 0.40 | 2015 |
| Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation | 1 | 0.40 | 2015 |
| Discriminative Spectral Learning Of Hidden Markov Models For Human Activity Recognition | 0 | 0.34 | 2015 |
| Bayesian Nonparametric Crowdsourcing | 0 | 0.34 | 2015 |
| Individual performance calibration using physiological stress signals | 0 | 0.34 | 2015 |
| Grouped sparsity algorithm for multichannel intracardiac ECG synchronization | 1 | 0.40 | 2014 |
| An Automated Screening System for Tuberculosis | 4 | 0.46 | 2014 |
| Cross-products LASSO | 0 | 0.34 | 2013 |
| Algorithms for maximum-likelihood bandwidth selection in kernel density estimators | 8 | 0.76 | 2012 |
| Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review | 2 | 0.39 | 2012 |
| Hierarchical Dynamic Model for Human Daily Activity Recognition. | 6 | 0.61 | 2012 |
| Long term human activity recognition with automatic orientation estimation | 1 | 0.38 | 2012 |
| Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs. | 2 | 0.47 | 2012 |
| Human activity recognition using inertial sensors with invariance to sensor orientation | 9 | 0.62 | 2012 |
| Sparse spectral analysis of atrial fibrillation electrograms | 1 | 0.37 | 2012 |
| Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations | 0 | 0.34 | 2011 |
| Improving sale performance prediction using support vector machines | 2 | 0.36 | 2011 |
| Extended input space support vector machine. | 0 | 0.34 | 2011 |
| Bayesian joint recovery of correlated signals in Distributed Compressed Sensing | 2 | 0.37 | 2010 |
| Individual identification using personality traits | 2 | 0.37 | 2010 |
| Optimal sensor selection in binary heterogeneous sensor networks | 10 | 0.63 | 2009 |
| On The Uncertainty In Sequential Hypothesis Testing | 4 | 0.60 | 2008 |
| A simulated annealing approach to speaker segmentation in audio databases | 0 | 0.34 | 2008 |
| Compressive Sensing Detection Of Stochastic Signals | 6 | 0.47 | 2008 |
| A New Cost Function For Binary Classification Problems Based On The Distributions Of The Soft Output For Each Class | 0 | 0.34 | 2007 |
| Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks | 0 | 0.34 | 2007 |
| Optimal Sensor Selection in Heterogeneous Sensor Networks. | 1 | 0.36 | 2007 |
| A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network | 9 | 0.68 | 2007 |
| Distributed Hypothesis Testing Using Local Learning Based Classifiers | 1 | 0.85 | 2006 |
| Particle filtering algorithms for tracking a maneuvering target using a network of wireless dynamic sensors | 4 | 0.48 | 2006 |
| A Monte Carlo Method For Joint Node Location And Maneuvering Target Tracking In A Sensor Network | 3 | 0.52 | 2006 |
| A Fixed-Point Algorithm for Finding the Optimal Covariance Matrix in Kernel Density Modeling. | 1 | 0.46 | 2006 |
| Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives | 15 | 0.95 | 2005 |
