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Showing 3151–3175 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
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingCode1
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting—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
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
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series PredictionCode1
Calculating the matrix profile from noisy data—0
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
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model—0
Bootstrap aggregation and confidence measures to improve time series causal discoveryCode0
Deep Learning for Energy Time-Series Analysis and Forecasting—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
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