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Showing 7301–7350 of 9169 papers

TitleStatusHype
Architectural Tricks for Deep Learning in Remote Photoplethysmography—0
An Information Theory Approach on Deciding Spectroscopic Follow UpsCode0
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data—0
Dynamic Time Warp Convolutional Networks—0
Deep Hedging: Learning to Simulate Equity Option MarketsCode0
Seasonally-Adjusted Auto-Regression of Vector Time Series—0
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data—0
Optimal Transport Based Change Point Detection and Time Series Segment Clustering—0
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis—0
Novel semi-metrics for multivariate change point analysis and anomaly detection—0
Framework for Inferring Following Strategies from Time Series of Movement DataCode0
DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingCode0
Generalizing to unseen domains via distribution matchingCode0
Variational Bayesian inference of hidden stochastic processes with unknown parameters—0
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning—0
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings—0
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data—0
Research and application of time series algorithms in centralized purchasing data—0
LFZip: Lossy compression of multivariate floating-point time series data via improved predictionCode0
Identifying Predictive Causal Factors from News Streams—0
Detecting correlations and triangular arbitrage opportunities in the Forex by means of multifractal detrended cross-correlations analysis—0
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devicesCode0
Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries—0
Convolutional Conditional Neural ProcessesCode0
Harnessing the power of Topological Data Analysis to detect change points in time seriesCode0
Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMsCode0
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters—0
Textual Data for Time Series Forecasting—0
High dimensional regression for regenerative time-series: an application to road traffic modelingCode0
Self-attention for raw optical Satellite Time Series ClassificationCode0
Wasserstein total variation filtering—0
Winning the ICCV 2019 Learning to Drive Challenge—0
MLAT: Metric Learning for kNN in Streaming Time Series—0
Inference of Binary Regime Models with Jump Discontinuities—0
Critical Transitions in Intensive Care Units: A Sepsis Case Study—0
Study of the impact of climate change on precipitation in Paris area using method based on iterative multiscale dynamic time warping (IMS-DTW)—0
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community—0
Generalised learning of time-series: Ornstein-Uhlenbeck processes—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
Order patterns, their variation and change points in financial time series and Brownian motion—0
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis—0
You May Not Need Order in Time Series Forecasting—0
Coupling Oceanic Observation Systems to Study Mesoscale Ocean DynamicsCode0
Temporal Network Sampling—0
Forecasting under Long Memory and Nonstationarity—0
Variationally Inferred Sampling Through a Refined BoundCode0
Scalable Gradients and Variational Inference for Stochastic Differential Equations—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
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