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Showing 4951–5000 of 9169 papers

TitleStatusHype
An Improvement of PAA on Trend-Based Approximation for Time Series—0
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering—0
Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries—0
An Improved Online Penalty Parameter Selection Procedure for _1-Penalized Autoregressive with Exogenous Variables—0
AE SemRL: Learning Semantic Association Rules with Autoencoders—0
A Convolutional Neural Network Approach to Supernova Time-Series Classification—0
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science—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 Potential Correlations via Hypercontractivity—0
An improved LogNNet classifier for IoT application—0
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data—0
Beyond Predictions in Neural ODEs: Identification and Interventions—0
Discovering ordinary differential equations that govern time-series—0
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models—0
Animal behavior classification via deep learning on embedded systems—0
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data—0
Discovering Invariances in Healthcare Neural Networks—0
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention—0
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks—0
Discovering Hidden Physics Behind Transport Dynamics—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
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets—0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
ANFIS-based prediction of power generation for combined cycle power plant—0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization—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
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
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss—0
Directed Chain Generative Adversarial Networks—0
Dimension Reduction for time series with Variational AutoEncoders—0
Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences—0
Aedes-AI: Neural Network Models of Mosquito Abundance—0
Dimensionality reduction for time series data—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
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS—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
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights—0
Digital Twin Framework for Time to Failure Forecasting of Wind Turbine Gearbox: A Concept—0
Benign Overfitting in Time Series Linear Models with Over-Parameterization—0
An Explainer for Temporal Graph Neural Networks—0
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