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TitleStatusHype
Information Theory Inspired Pattern Analysis for Time-series Data—0
The DeepCAR Method: Forecasting Time-Series Data That Have Change PointsCode0
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting—0
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference—0
Measuring city-scale green infrastructure drawdown dynamics using internet-connected sensors in Detroit—0
FedST: Secure Federated Shapelet Transformation for Time Series Classification—0
Enhancing Energy System Models Using Better Load Forecasts—0
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts—0
Task-Oriented Prediction and Communication Co-Design for Haptic Communications—0
Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data—0
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early ClassificationCode0
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification—0
CNTS: Cooperative Network for Time SeriesCode0
Infinite-Dimensional Diffusion Models—0
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions—0
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting—0
Ergodic characterization of non-ergodic anomalous diffusion processes—0
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones—0
Graphical estimation of multivariate count time series—0
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data—0
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models—0
A Transformer-based Deep Learning Algorithm to Auto-record Undocumented Clinical One-Lung Ventilation Events—0
Excess risk bound for deep learning under weak dependence—0
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand—0
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?—0
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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