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Showing 2751–2800 of 9169 papers

TitleStatusHype
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles—0
Direct Mapping Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implications on Force Field Development—0
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning—0
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting—0
An Extreme Value Theory Approach for Understanding Queue Length Dynamics in Adaptive Corridors—0
DTMamba : Dual Twin Mamba for Time Series Forecasting—0
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting—0
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series—0
DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend—0
Contrastive Blind Denoising Autoencoder for Real-Time Denoising of Industrial IoT Sensor Data—0
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble—0
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts—0
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss—0
Dual reparametrized Variational Generative Model for Time-Series Forecasting—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Directed Chain Generative Adversarial Networks—0
Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences—0
Dimension Reduction for time series with Variational AutoEncoders—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
Duration and Interval Hidden Markov Model for Sequential Data Analysis—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
Bootstrapping Non-Stationary Stochastic Volatility—0
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation—0
Aedes-AI: Neural Network Models of Mosquito Abundance—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Dynamical mixture modeling with fast, automatic determination of Markov chains—0
Dynamical Mode Recognition of Turbulent Flames in a Swirl-stabilized Annular Combustor by a Time-series Learning Approach—0
Dynamical prediction of two meteorological factors using the deep neural network and the long short term memory (1)—0
Dynamical spectral unmixing of multitemporal hyperspectral images—0
Bounds in Wasserstein Distance for Locally Stationary Functional Time Series—0
Dynamical Systems as Temporal Feature Spaces—0
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting—0
Dimensionality reduction for time series data—0
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections—0
Dynamic Asymmetric Causality Tests with an Application—0
Non-Stationary Bandits with Auto-Regressive Temporal Dependency—0
Hidden Markov Neural Networks—0
Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions—0
Dynamic Clustering in Federated Learning—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model—0
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction—0
Dynamic Covariance Models for Multivariate Financial Time Series—0
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian—0
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS—0
Dynamic Deep Convolutional Candlestick Learner—0
Dynamic-Depth Context Tree Weighting—0
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles—0
The leverage effect and other stylized facts displayed by Bitcoin returns—0
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