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Showing 2951–2975 of 9169 papers

TitleStatusHype
Coordination Event Detection and Initiator Identification in Time Series DataCode0
Homological Neural Networks: A Sparse Architecture for Multivariate ComplexityCode0
Representation Learning of Daily Movement Data Using Text EncodersCode0
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer RechargeCode0
Coupled Attention Networks for Multivariate Time Series Anomaly Detection—0
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series—0
COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction—0
Counterfactuals in factor models—0
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models—0
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting—0
Counterfactual Explanations for Multivariate Time-Series without Training Datasets—0
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy—0
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide—0
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier—0
A Comprehensive Survey on Generative Diffusion Models for Structured Data—0
Cough Detection Using Hidden Markov Models—0
DeNOTS: Stable Deep Neural ODEs for Time Series—0
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc—0
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification—0
A Survey of Transformer Enabled Time Series Synthesis—0
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
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