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Showing 1301–1350 of 9169 papers

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Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor DataCode1
Neural Controlled Differential Equations for Irregular Time SeriesCode1
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information TransformationCode1
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 StudyCode1
AtsPy: Automated Time Series Forecasting in PythonCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series ClassificationCode1
Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease ProgressionCode1
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
On time series representations for multi-label NILMCode1
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWBCode1
Deep ConvLSTM with self-attention for human activity decoding using wearablesCode1
Forecasting in Non-stationary Environments with Fuzzy Time SeriesCode1
Correlation-aware Unsupervised Change-point Detection via Graph Neural NetworksCode1
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time seriesCode1
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative TeacherCode1
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)Code1
Anomaly Detection for Time Series Using VAE-LSTM Hybrid ModelCode1
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov ModelCode1
From Fourier to Koopman: Spectral Methods for Long-term Time Series PredictionCode1
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic PredictionCode1
FastDTW is approximate and Generally Slower than the Algorithm it ApproximatesCode1
Spatio-Temporal Graph Convolution for Resting-State fMRI AnalysisCode1
Human Activity Recognition from Wearable Sensor Data Using Self-AttentionCode1
Construe: a software solution for the explanation-based interpretation of time seriesCode1
An Evaluation of Change Point Detection AlgorithmsCode1
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure EvolutionCode1
Adversarial Attacks on Probabilistic Autoregressive Forecasting ModelsCode1
On the performance of deep learning models for time series classification in streamingCode1
Forecasting Sequential Data using Consistent Koopman AutoencodersCode1
Dimensionality reduction to maximize prediction generalization capabilityCode1
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classificationCode1
Modeling Continuous Stochastic Processes with Dynamic Normalizing FlowsCode1
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-valuesCode1
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity DetectionCode1
Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning TechniquesCode1
Deep reconstruction of strange attractors from time seriesCode1
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series ForecastingCode1
Selecting time-series hyperparameters with the artificial jackknifeCode1
Improving S&P stock prediction with time series stock similarityCode1
Meta-learning framework with applications to zero-shot time-series forecastingCode1
DYNOTEARS: Structure Learning from Time-Series DataCode1
Variable-lag Granger Causality and Transfer Entropy for Time Series AnalysisCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence CaseCode1
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio EstimationCode1
Mind the gap: an experimental evaluation of imputation of missing values techniques in time seriesCode1
Explainable Deep Convolutional Candlestick LearnerCode1
Discovering Nonlinear Relations with Minimum Predictive Information RegularizationCode1
Root Cause Detection Among Anomalous Time Series Using Temporal State AlignmentCode1
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