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Showing 4651–4700 of 9169 papers

TitleStatusHype
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance—0
Kinetic Compressive Sensing—0
Input Sequence and Parameter Estimation in Impulsive Biomedical Models—0
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data—0
DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation—0
Decoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis—0
KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design—0
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach—0
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting—0
Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection—0
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data—0
Learning to Attack Powergrids with DERs—0
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting—0
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control—0
Knowledge Extraction with Interval Temporal Logic Decision Trees—0
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions—0
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators—0
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability—0
Kolmogorov-Arnold Networks for Time Series Granger Causality Inference—0
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks—0
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis—0
Kolmogorov Space in Time Series Data—0
KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units—0
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data—0
Decoding Causality by Fictitious VAR Modeling—0
Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction—0
Koopman Learning with Episodic Memory—0
Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room—0
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts—0
Automatic Detection Of Noise Events at Shooting Range Using Machine Learning—0
k-Parameter Approach for False In-Season Anomaly Suppression in Daily Time Series Anomaly Detection—0
KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios—0
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting—0
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation—0
Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions—0
Label-Efficient Interactive Time-Series Anomaly Detection—0
Initializing LSTM internal states via manifold learning—0
Initialization of multilayer forecasting artifical neural networks—0
Lagged correlation-based deep learning for directional trend change prediction in financial time series—0
Decision-Aware Conditional GANs for Time Series Data—0
Lagrange regularisation approach to compare nested data sets and determine objectively financial bubbles' inceptions—0
Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming—0
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data—0
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion—0
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services—0
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks—0
Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm—0
Land use/land cover dynamics on vulnerable regions in Uruguay approached by a method combining Maximum Entropy and Population Dynamics—0
Automatic Forecasting via Meta-Learning—0
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks—0
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