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TitleStatusHype
Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM)—0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19—0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness—0
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning—0
Action Prediction in Humans and Robots—0
Anomaly Detection for Multivariate Time Series of Exotic Supernovae—0
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges—0
A framework for anomaly detection using language modeling, and its applications to finance—0
Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data—0
Anomaly Detection for Industrial Big Data—0
A Fourier Transform Approach for Automatic Detection of Oysters Spawning—0
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation—0
BrainSymphony: A Transformer-Driven Fusion of fMRI Time Series and Structural Connectivity—0
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle—0
Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces—0
Dynamic Graph Learning based on Graph Laplacian—0
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—0
Anomaly Detection for Fraud in Cryptocurrency Time Series—0
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction—0
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction—0
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning—0
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation—0
Brain Emotional Learning-Based Prediction Model (For Long-Term Chaotic Prediction Applications)—0
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning—0
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification—0
Brain dynamics via Cumulative Auto-Regressive Self-Attention—0
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models—0
A Formally Robust Time Series Distance Metric—0
Bounds in Wasserstein Distance for Locally Stationary Functional Time Series—0
Boundary-enhanced time series data imputation with long-term dependency diffusion models—0
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes—0
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns—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
Bootstrapping Non-Stationary Stochastic Volatility—0
Anomaly detection and motif discovery in symbolic representations of time series—0
Action-Affect Classification and Morphing using Multi-Task Representation Learning—0
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
A First Option Calibration of the GARCH Diffusion Model by a PDE Method—0
Dynamic-Depth Context Tree Weighting—0
Dynamic Factor Models: a Genealogy—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data—0
A first econometric analysis of the CRIX family—0
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble—0
Boosted p-Values for High-Dimensional Vector Autoregression—0
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