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Showing 3751–3775 of 9169 papers

TitleStatusHype
Self-Organization Towards 1/f Noise in Deep Neural NetworksCode0
AI enabled RPM for Mental Health Facility—0
Regular Time-series Generation using SGM—0
Interpretable Classification of Early Stage Parkinson's Disease from EEG—0
Dataset Bias in Human Activity Recognition—0
Diffusion-based Conditional ECG Generation with Structured State Space ModelsCode1
Synthcity: facilitating innovative use cases of synthetic data in different data modalitiesCode2
Deep Learning Enables Reduced Gadolinium Dose for Contrast-Enhanced Blood-Brain Barrier Opening—0
Leveraging Vision-Language Models for Granular Market Change Prediction—0
Planning of Fast Charging Infrastructure for Electric Vehicles in a Distribution System and Prediction of Dynamic Price—0
Probabilistic Traffic Forecasting with Dynamic RegressionCode0
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence—0
Predictive Modeling of Coronal Hole Areas Using Long Short-Term Memory Networks—0
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care UnitCode1
Temporal-lobe Epilepsy: Harmonic and Anharmonic Periodicity in Microeletrode Voltage—0
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics—0
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models—0
Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy—0
Ordinal methods for a characterization of evolving functional brain networks—0
Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks—0
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification—0
Unsupervised Driving Event Discovery Based on Vehicle CAN-data—0
ViTs for SITS: Vision Transformers for Satellite Image Time SeriesCode2
Persistence-Based Discretization for Learning Discrete Event Systems from Time Series—0
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