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Showing 4601–4650 of 9169 papers

TitleStatusHype
Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality—0
Causal Analysis of Generic Time Series Data Applied for Market Prediction—0
NLP Based Anomaly Detection for Categorical Time Series—0
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPsCode0
From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecastingCode1
Learning Sequential Latent Variable Models from Multimodal Time Series DataCode0
STD: A Seasonal-Trend-Dispersion Decomposition of Time SeriesCode1
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting—0
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks—0
Scale Dependencies and Self-Similar Models with Wavelet Scattering SpectraCode1
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential EquationsCode0
Sintel: A Machine Learning Framework to Extract Insights from SignalsCode3
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting—0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization—0
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions—0
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors—0
STONet: A Neural-Operator-Driven Spatio-temporal Network—0
Benign Overfitting in Time Series Linear Models with Over-Parameterization—0
Time Series Clustering for Grouping Products Based on Price and Sales Patterns—0
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach—0
Assessing Differentially Private Variational Autoencoders under Membership InferenceCode0
Nonparametric Analysis of Dynamic Random Utility Models—0
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting—0
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series DataCode1
Time Series of Non-Additive Metrics: Identification and Interpretation of Contributing Factors of Variance by Linear Decomposition—0
Learning Probability Distributions in Macroeconomics and Finance—0
Stability of China's Stock Market: Measure and Forecast by Ricci Curvature on Network—0
Neural Topic Modeling of Psychotherapy Sessions—0
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey—0
A quantum generative model for multi-dimensional time series using Hamiltonian learning—0
Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents—0
Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets—0
SRMD: Sparse Random Mode DecompositionCode0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models—0
Deep Normed Embeddings for Patient RepresentationCode0
Variational Heteroscedastic Volatility ModelCode0
Lyapunov-Guided Representation of Recurrent Neural Network PerformanceCode0
Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC AlgorithmCode1
Random Similarity Forests—0
Configuration and Collection Factors for Side-Channel Disassembly—0
On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series—0
Optimization of IoT-Enabled Physical Location Monitoring Using DT and VAR—0
Multi-Label Clinical Time-Series Generation via Conditional GANCode1
Prognostic classification based on random convolutional kernel—0
Transformer-Based Self-Supervised Learning for Emotion Recognition—0
Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach—0
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products—0
The market drives ETFs or ETFs the market: causality without Granger—0
T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery—0
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