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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

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Advances on Real Time M/EEG Neural Feature Extraction

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features

Navigating the Loop: From Control Systems to Neural Networks and Back

On the number of regions of piecewise linear neural networks

Assessing the Performance of Deep Learning Predictions for Dynamic Aperture of a Hadron Circular Particle Accelerator

RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition

No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO

Multi-Scale and Multimodal Species Distribution Modeling