Work Force

Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning?

PURPOSE: Machine learning may contribute to understanding the relationship between the external load...

Reshaping Movement Distributions With Limit-Push Robotic Training.

High-cost situations need to be avoided. However, occasionally, cost may only be learned by experien...

Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.

This paper presents an integrated hybrid optimization algorithm for training the radial basis functi...

Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.

PURPOSE: Most of the existing convolutional neural network (CNN)-based medical image segmentation me...

A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks.

Mean square error (MSE) is the most prominent criterion in training neural networks and has been emp...

Recovery and compensation after robotic assisted gait training in chronic stroke survivors.

Gait re-education is a primary rehabilitation goal after stroke. In the last decades, robots with d...

Machine learning and evidence-based training in technical skills.

Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.

PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality that allows p...

Feasibility of robot-based perturbed-balance training during treadmill walking in a high-functioning chronic stroke subject: a case-control study.

BACKGROUND: For stroke survivors, balance deficits that persist after the completion of the rehabili...

Adversarial Threshold Neural Computer for Molecular de Novo Design.

In this article, we propose the deep neural network Adversarial Threshold Neural Computer (ATNC). Th...

PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality.

Several methods have been developed to predict effects of amino acid substitutions on protein stabil...

Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.

Motor deficits are common outcomes of neurological conditions such as stroke. In order to design per...

Investigating the Effect of Simulator Functional Fidelity and Personalized Feedback on Central Venous Catheterization Training.

OBJECTIVE: To compare the effect of simulator functional fidelity (manikin vs a Dynamic Haptic Robot...

Generalising better: Applying deep learning to integrate deleteriousness prediction scores for whole-exome SNV studies.

Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised...

iRSpot-PDI: Identification of recombination spots by incorporating dinucleotide property diversity information into Chou's pseudo components.

Recombination spot identification plays an important role in revealing genome evolution and developi...

Training replicable predictors in multiple studies.

This article considers replicability of the performance of predictors across studies. We suggest a g...

Training for mobility with exoskeleton robot in spinal cord injury patients: a pilot study.

BACKGROUND: Wearable robots are people-oriented robots designed to be worn all day, thus helping in ...

Machine Learning of Partial Charges Derived from High-Quality Quantum-Mechanical Calculations.

Parametrization of small organic molecules for classical molecular dynamics simulations is not trivi...

Virtual Sensors for Advanced Controllers in Rehabilitation Robotics.

In order to properly control rehabilitation robotic devices, the measurement of interaction force an...

The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program.

PURPOSE: Advances in artificial intelligence applied to diagnostic radiology are predicted to have a...

Reviewing Clinical Effectiveness of Active Training Strategies of Platform-Based Ankle Rehabilitation Robots.

OBJECTIVE: This review aims to provide a systematical investigation of clinical effectiveness of act...