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Showing 2951–3000 of 9169 papers

TitleStatusHype
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control—0
Differential Machine Learning for Time Series Prediction—0
Efficient pattern-based anomaly detection in a network of multivariate devices—0
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs—0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
Efficient structure learning with automatic sparsity selection for causal graph processes—0
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation—0
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging—0
Differentially Private Synthetic Control—0
Ego-Network Transformer for Subsequence Classification in Time Series Data—0
Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory—0
EigenNetworks—0
An Ordered Lasso and Sparse Time-Lagged Regression—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
Capturing Temporal Components for Time Series Classification—0
Benchmarking Multivariate Time Series Classification Algorithms—0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data—0
Eliciting Disease Data from Wikipedia Articles—0
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting—0
Elucidation of time-dependent systems biology cell response patterns with time course network enrichment—0
Differentially Private Publication of Electricity Time Series Data in Smart Grids—0
Embarrassingly Simple MixUp for Time-series—0
Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area—0
Independence Testing for Temporal Data—0
Embedded Topic Models Enhanced by Wikification—0
Embedding Symbolic Temporal Knowledge into Deep Sequential Models—0
Case-based reasoning for rare events prediction on strategic sites—0
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling—0
Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities—0
Case ID detection based on time series data -- the mining use case—0
Emotional Expression Classification using Time-Series Kernels—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
Empirical analysis of daily cash flow time series and its implications for forecasting—0
Differentially Private K-means Clustering Applied to Meter Data Analysis and Synthesis—0
Empirical facts characterizing banking crises: an analysis via binary time series—0
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification—0
Empirical observations of ultraslow diffusion driven by the fractional dynamics in languages: Dynamical statistical properties of word counts of already popular words—0
Empirical Quantitative Analysis of COVID-19 Forecasting Models—0
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction—0
Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series—0
Differentially-Private Heat and Electricity Markets Coordination—0
Empirics on the expressiveness of Randomized Signature—0
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
Empowering Time Series Analysis with Large Language Models: A Survey—0
Emulating dynamic non-linear simulators using Gaussian processes—0
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast—0
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models—0
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