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Showing 2401–2450 of 9169 papers

TitleStatusHype
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
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?—0
Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?—0
Can LLMs Serve As Time Series Anomaly Detectors?—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
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?—0
Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon—0
Can automated smoothing significantly improve benchmark time series classification algorithms?—0
Can Agent-Based Models Probe Market Microstructure?—0
Anomaly detection with Wasserstein GAN—0
Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks—0
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression—0
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series?—0
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression—0
Anomaly Detection with HMM Gauge Likelihood Analysis—0
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements—0
Calibration window selection based on change-point detection for forecasting electricity prices—0
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers—0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification—0
Calibration of Machine Learning Classifiers for Probability of Default Modelling—0
Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data—0
Calibration-free B0 correction of EPI data using structured low rank matrix recovery—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce—0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
Calibration and Filtering of Exponential L\'evy Option Pricing Models—0
Calibrating Agent-based Models to Microdata with Graph Neural Networks—0
Anomaly Detection on IT Operation Series via Online Matrix Profile—0
Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning—0
Anomaly Detection on Graph Time Series—0
Active queue management: First steps toward a new control-theoretic viewpoint—0
Calculation of Sub-bands 1,2,5,6 for 64-Point Complex FFT and Its extension to N (=2^N) Point FFT—0
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings—0
Calculating the matrix profile from noisy data—0
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data—0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline—0
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization—0
Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences—0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting—0
Caformer: Rethinking Time Series Analysis from Causal Perspective—0
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder—0
Anomaly Detection Models for IoT Time Series Data—0
A Fuzzy Time Series-Based Model Using Particle Swarm Optimization and Weighted Rules—0
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing—0
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series—0
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