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Showing 3151–3200 of 9169 papers

TitleStatusHype
A Deep Learning Model for Heterogeneous Dataset Analysis -- Application to Winter Wheat Crop Yield Prediction—0
G-NM: A Group of Numerical Time Series Prediction Models—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator—0
Transformer Training Strategies for Forecasting Multiple Load Time SeriesCode0
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting—0
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingCode1
Stock Price Prediction using Dynamic Neural Networks—0
Successive one-sided Hodrick-Prescott filter with incremental filtering algorithm for nonlinear economic time series—0
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionCode2
The Chebyshev Polynomials Of The First Kind For Analysis Rates Shares Of Enterprises—0
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification—0
Calculating the matrix profile from noisy data—0
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series PredictionCode1
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions—0
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsCode2
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series—0
Bootstrap aggregation and confidence measures to improve time series causal discoveryCode0
Deep Learning for Energy Time-Series Analysis and Forecasting—0
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model—0
Probabilistic Learning of Multivariate Time Series with Temporal IrregularityCode0
Unbiased Learning of Deep Generative Models with Structured Discrete RepresentationsCode0
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon TasksCode1
Reducing Uncertainties of a Chained Hydrologic-hydraulic Model to Improve Flood Forecasting Using Multi-source Earth Observation Data—0
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingCode2
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time SeriesCode1
Adaptive Modeling of Satellite-Derived Nighttime Lights Time-Series for Tracking Urban Change Processes Using Machine Learning—0
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series ForecastingCode0
Solar Active Regions Detection Via 2D Circular Kernel Time Series Transformation, Entropy and Machine Learning Approach—0
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based AlgorithmsCode0
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative StudyCode0
Inferring dynamic regulatory interaction graphs from time series data with perturbations—0
Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand ForecastCode0
Making forecasting self-learning and adaptive -- Pilot forecasting rack—0
Coupled Attention Networks for Multivariate Time Series Anomaly Detection—0
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal BootstrappingCode1
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting—0
Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting ApproachCode1
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient EncoderCode0
Explaining a machine learning decision to physicians via counterfactualsCode0
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic InformationCode0
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation LearningCode1
Share, Collaborate, Benchmark: Advancing Travel Demand Research through rigorous open-source collaboration—0
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data ChallengeCode0
Feature Programming for Multivariate Time Series PredictionCode1
Improving Estimation of the Koopman Operator with Kolmogorov-Smirnov Indicator FunctionsCode0
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI ForecastingCode0
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural RepresentationsCode1
Self-Interpretable Time Series Prediction with Counterfactual Explanations—0
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning—0
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