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Showing 4951–4975 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
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