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Showing 4801–4825 of 9169 papers

TitleStatusHype
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
bootUR: An R Package for Bootstrap Unit Root Tests—0
Anomaly detection and regime searching in fitness-tracker data—0
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009—0
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation—0
Bootstrapping Non-Stationary Stochastic Volatility—0
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting—0
Anomaly detection and motif discovery in symbolic representations of time series—0
Duration and Interval Hidden Markov Model for Sequential Data Analysis—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets—0
A First Option Calibration of the GARCH Diffusion Model by a PDE Method—0
Action-Affect Classification and Morphing using Multi-Task Representation Learning—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Dual reparametrized Variational Generative Model for Time-Series Forecasting—0
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts—0
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble—0
Contrastive Blind Denoising Autoencoder for Real-Time Denoising of Industrial IoT Sensor Data—0
DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend—0
Boosted p-Values for High-Dimensional Vector Autoregression—0
AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations—0
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