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Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion

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Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion

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Integrating Neural Interfaces with Machine Learning: Enabling Self-Sufficient and Ubiquitous Prosthetic and Diagnostic Devices

High-resolution population maps derived from Sentinel-1 and Sentinel-2

The multimodality cell segmentation challenge: toward universal solutions

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning

The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation

End-to-end kernel learning via generative random Fourier features

Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?

Ageing-aware battery discharge prediction with deep learning

Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF

Information theoretic limits of learning a sparse rule

Technology Strategy in Dynamic Environments: A Computational Analysis of the Automation of Routines, the Organization of AI, and the Evaluation of Technology Risk

Local invertibility and sensitivity of atomic structure-feature mappings

Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Risk prediction error signaling: A two-component response?

Robust Distributed Learning

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Fast Automatic Smoothing for Generalized Additive Models

SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices

Predictive models for assessing the passive solar and daylight potential of neighborhood designs: A comparative proof-of-concept study