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Showing 6901–6950 of 9169 papers

TitleStatusHype
Deep Learning Architectures for FSCV, a Comparison—0
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions—0
Knowledge Extraction with Interval Temporal Logic Decision Trees—0
Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems—0
Retail Demand Forecasting: A Comparative Study for Multivariate Time Series—0
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control—0
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting—0
Deep learning algorithm for data-driven simulation of noisy dynamical system—0
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate—0
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning—0
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision—0
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing—0
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach—0
KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design—0
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning—0
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices—0
DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation—0
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series—0
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data—0
Kinetic theory and Brazilian income distribution—0
Kinetic Compressive Sensing—0
Retrieving Time-Series Differences Using Natural Language Queries—0
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies—0
Revealing hidden dynamics from time-series data by ODENet—0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
Reverse Engineering Chemical Reaction Networks from Time Series Data—0
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach—0
Kernels for time series with irregularly-spaced multivariate observations—0
Kernels for sequentially ordered data—0
Review of Data-centric Time Series Analysis from Sample, Feature, and Period—0
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators—0
Review on Causality Detection Based on Empirical Dynamic Modeling—0
Revisited Large Language Model for Time Series Analysis through Modality Alignment—0
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking—0
An Artificial Spiking Quantum Neuron—0
Revisiting Causality Inference in Memory-less Transition Networks—0
Revisiting clustering as matrix factorisation on the Stiefel manifold—0
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping—0
Kernel Methods for Nonlinear Connectivity Detection—0
Kernel Least Mean Square with Adaptive Kernel Size—0
Kernel Estimation for Panel Data with Heterogeneous Dynamics—0
Revisiting Cont's Stylized Facts for Modern Stock Markets—0
Kernel distance measures for time series, random fields and other structured data—0
Revisiting the Excess Volatility Puzzle Through the Lens of the Chiarella Model—0
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data—0
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting—0
RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks—0
Deep Hedging under Rough Volatility—0
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