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Showing 2701–2750 of 9169 papers

TitleStatusHype
An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction—0
DLFormer: Enhancing Explainability in Multivariate Time Series Forecasting using Distributed Lag Embedding—0
Animal behavior classification via deep learning on embedded systems—0
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting—0
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?—0
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series?—0
Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences—0
Does Scaling Law Apply in Time Series Forecasting?—0
Bitcoin: A life in crises—0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference—0
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data—0
Domain Adaptation for Time series Transformers using One-step fine-tuning—0
ANFIS-based prediction of power generation for combined cycle power plant—0
Bitcoin Price Predictive Modeling Using Expert Correction—0
Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes—0
Domain Generalization via Selective Consistency Regularization for Time Series Classification—0
Domain-Independent Automatic Generation of Descriptive Texts for Time-Series Data—0
Domain-invariant Feature Exploration for Domain Generalization—0
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention—0
Do Mature Economies Grow Exponentially?—0
Discovering Invariances in Healthcare Neural Networks—0
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data—0
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks—0
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video—0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization—0
Discovering Hidden Physics Behind Transport Dynamics—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability—0
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space—0
Blind Deinterleaving of Signals in Time Series with Self-attention Based Soft Min-cost Flow Learning—0
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting—0
Doubly Robust Structure Identification from Temporal Data—0
Blitzkriging: Kronecker-structured Stochastic Gaussian Processes—0
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
Downsampling and geometric feature methods for EEG classification tasks with CNNs—0
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets—0
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting—0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
Empirical analysis of daily cash flow time series and its implications for forecasting—0
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting—0
Drift Identification for Lévy alpha-Stable Stochastic Systems—0
Empirical facts characterizing banking crises: an analysis via binary time series—0
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification—0
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
BLUnet: Arithmetic-free Inference with Bit-serialised Table Lookup Operation for Efficient Deep Neural Networks—0
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction—0
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects—0
Direct Method for Training Feed-forward Neural Networks using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions—0
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