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Showing 4551–4600 of 9169 papers

TitleStatusHype
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
Capsule Neural Networks as Noise Stabilizer for Time Series Data—0
An Optimal Reduction of TV-Denoising to Adaptive Online Learning—0
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs—0
Efficient pattern-based anomaly detection in a network of multivariate devices—0
Cap or No Cap? What Can Governments Do to Promote EV Sales?—0
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control—0
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting—0
An Optimally Weighted Echo State Neural Network for Highly Chaotic Time Series Modelling—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning—0
Capacity of the covariance perceptron—0
Efficient Model Selection for Time Series Forecasting via LLMs—0
Can we imitate the principal investor's behavior to learn option price?—0
Efficient Modeling and Forecasting of the Electricity Spot Price—0
Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis—0
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?—0
Can Transformers Predict Vibrations?—0
A General Framework for Uncertainty Quantification via Neural SDE-RNN—0
Active Tuning—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion—0
Efficiently Discovering Frequent Motifs in Large-scale Sensor Data—0
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity—0
Efficient Inverse Multiagent Learning—0
Can Time-Series Foundation Models Perform Building Energy Management Tasks?—0
An OPC UA-based industrial Big Data architecture—0
Efficient Interpretable Nonlinear Modeling for Multiple Time Series—0
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition—0
Can time series forecasting be automated? A benchmark and analysis—0
A General Framework for Hypercomplex-valued Extreme Learning Machines—0
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering—0
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series—0
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data—0
Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19—0
A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information—0
Canonical Time Warping for Alignment of Human Behavior—0
A Non-linear Function-on-Function Model for Regression with Time Series Data—0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data—0
Efficient combination of pairswise feature networks—0
Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy—0
Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?—0
Efficient and Consistent Robust Time Series Analysis—0
Can LLMs Serve As Time Series Anomaly Detectors?—0
Efficiency of the Moscow Stock Exchange before 2022—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Can GANs Learn the Stylized Facts of Financial Time Series?—0
Anomaly Subsequence Detection with Dynamic Local Density for Time Series—0
A General Description of Growth Trends—0
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