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TitleStatusHype
Label-efficient Time Series Representation Learning: A Review—0
Continuous-time convolutions model of event sequencesCode0
Fourier-RNNs for Modelling Noisy Physics Data—0
Checking the Statistical Assumptions Underlying the Application of the Standard Deviation and RMS Error to Eye-Movement Time Series: A Comparison between Human and Artificial Eyes—0
Forecasting the Turkish Lira Exchange Rates through Univariate Techniques: Can the Simple Models Outperform the Sophisticated Ones?—0
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape—0
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies—0
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification—0
Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates—0
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking—0
Estimating Driver Personality Traits from On-Road Driving Data—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
Short-Term Memory Convolutions—0
High-Dimensional Granger Causality for Climatic Attribution—0
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series—0
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series DataCode0
Unsupervised Deep Learning for IoT Time Series—0
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification—0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust—0
Penalized Quasi-likelihood Estimation and Model Selection in Time Series Models with Parameters on the Boundary—0
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information—0
Market-Based Probability of Stock Returns—0
Noise-cleaning the precision matrix of fMRI time series—0
Importance attribution in neural networks by means of persistence landscapes of time series—0
Identifiability of latent-variable and structural-equation models: from linear to nonlinear—0
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