Work Force

Estimating complicated baselines in analytical signals using the iterative training of Bayesian regularized artificial neural networks.

The present work deals with the development of a new baseline correction method based on the compara...

Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach.

BACKGROUND: Protein secondary structure prediction (SSP) has been an area of intense research intere...

Ghrelin and hormonal markers under exercise training in patients with heart failure with preserved ejection fraction: results from the Ex-DHF pilot study.

BACKGROUND: Over 50% of patients with symptomatic heart failure (HF) experience HF with preserved ej...

Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL).

Success in extracting biological relationships is mainly dependent on the complexity of the task as ...

Ability of electrical stimulation therapy to improve the effectiveness of robotic training for paretic upper limbs in patients with stroke.

We investigated whether untriggered neuromuscular electrical stimulation (NMES) can increase the eff...

Does robot-assisted gait training improve ambulation in highly disabled multiple sclerosis people? A pilot randomized control trial.

BACKGROUND: Robotic training is commonly used to assist walking training in patients affected by mul...

The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.

Artificial neural networks (ANNs) are powerful computational tools that are designed to replicate th...

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks.

Weight elimination offers a simple and efficient improvement of training algorithm of feedforward ne...

Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks.

In this paper, we predict air pollutant concentration using a feedforward artificial neural network ...

Neural network training as a dissipative process.

This paper analyzes the practical issues and reports some results on a theory in which learning is m...

Evaluation of the effectiveness of robotic gait training and gait-focused physical therapy programs for children and youth with cerebral palsy: a mixed methods RCT.

BACKGROUND: Robot assisted gait training (RAGT) is considered to be a promising approach for improvi...

Task-specific ankle robotics gait training after stroke: a randomized pilot study.

BACKGROUND: An unsettled question in the use of robotics for post-stroke gait rehabilitation is whet...

Surgical Training in the Robotic Surgery Era: The Importance of Structured Programs.

Overground walking training with the i-Walker, a robotic servo-assistive device, enhances balance in patients with subacute stroke: a randomized controlled trial.

BACKGROUND: Patients affected by mild stroke benefit more from physiological overground walking trai...

Evaluation of tactical training in team handball by means of artificial neural networks.

While tactical performance in competition has been analysed extensively, the assessment of training ...

Integrated Analysis of Expression Profile Based on Differentially Expressed Genes in Middle Cerebral Artery Occlusion Animal Models.

Stroke is one of the most common causes of death, only second to heart disease. Molecular investigat...

A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps.

As one of the most recent popular swarm intelligence techniques, artificial bee colony algorithm is ...

Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.

As one important post-translational modification of prokaryotic proteins, pupylation plays a key rol...

Learning statistical models of phenotypes using noisy labeled training data.

OBJECTIVE: Traditionally, patient groups with a phenotype are selected through rule-based definition...

Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels.

Classification algorithms based on different forms of support vector machines (SVMs) for dealing wit...

Combined effects of robot‑assisted gait training and botulinum toxin type A on spastic equinus foot in patients with chronic stroke: a pilot, single blind, randomized controlled trial.

BACKGROUND: Despite the growing evidence about the use of robotic gait training in neurorehabilitati...