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Showing 2651–2700 of 9169 papers

TitleStatusHype
Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis—0
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning—0
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging—0
Discovering Signals from Web Sources to Predict Cyber Attacks—0
Discovering Latent Covariance Structures for Multiple Time Series—0
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting—0
Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries—0
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering—0
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm—0
Discret2Di -- Deep Learning based Discretization for Model-based Diagnosis—0
Discovering Potential Correlations via Hypercontractivity—0
Self and mutually exciting point process embedding flexible residuals and intensity with discretely Markovian dynamics—0
An improved LogNNet classifier for IoT application—0
Beyond Time: Cross-Dimensional Frequency Supervision for Time Series Forecasting—0
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data—0
Discretizing Logged Interaction Data Biases Learning for Decision-Making—0
Discriminative Functional Connectivity Measures for Brain Decoding—0
Discriminative State Space Models—0
A new look at the anthropogenic global warming consensus: an econometric forecast based on the ARIMA model of paleoclimate series—0
Disease Trajectory Maps—0
Beyond Predictions in Neural ODEs: Identification and Interventions—0
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models—0
Discovering ordinary differential equations that govern time-series—0
Animal behavior classification via deep learning on embedded systems—0
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting—0
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data—0
ANFIS-based prediction of power generation for combined cycle power plant—0
Disk storage management for LHCb based on Data Popularity estimator—0
Bidirectional Recurrent Neural Networks as Generative Models—0
Distance-to-Mean Continuous Conditional Random Fields to Enhance Prediction Problem in Traffic Flow Data—0
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention—0
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain—0
Bifurcation Spiking Neural Network—0
Distinguishing noise from chaos: objective versus subjective criteria using Horizontal Visibility Graph—0
Discovering Invariances in Healthcare Neural Networks—0
Distributed Estimation of Sparse Inverse Covariances—0
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks—0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization—0
Distributed Online Learning with Multiple Kernels—0
Distributed Reconstruction of Nonlinear Networks: An ADMM Approach—0
Discovering Hidden Physics Behind Transport Dynamics—0
An interpretable LSTM neural network for autoregressive exogenous model—0
Distributional Vector Autoregression: Eliciting Macro and Financial Dependence—0
Distribution estimation and change-point estimation for time series via DNN-based GANs—0
Distribution Regression for Sequential Data—0
District Wise Price Forecasting of Wheat in Pakistan using Deep Learning—0
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models—0
Diverse Counterfactual Explanations for Anomaly Detection in Time Series—0
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
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