Staffing & Scheduling

Predicting Neuromuscular Engagement to Improve Gait Training with a Robotic Ankle Exoskeleton.

The clinical efficacy of robotic rehabilitation interventions hinges on appropriate neuromuscular re...

Normalization Techniques in Training DNNs: Methodology, Analysis and Application.

Normalization techniques are essential for accelerating the training and improving the generalizatio...

Robust Vector BOTDA Signal Processing with Probabilistic Machine Learning.

This paper presents a novel probabilistic machine learning (PML) framework to estimate the Brillouin...

Cracking double-blind review: Authorship attribution with deep learning.

Double-blind peer review is considered a pillar of academic research because it is perceived to ensu...

Commercially Available Artificial Intelligence Algorithms of Interest to Pediatric Radiology: The Growing Gap Between Potential Use and Data Training.

A Scoping Review on the Use of Machine Learning in Return-to-Work Studies: Strengths and Weaknesses.

PURPOSE: Decisions to increase work participation must be informed and timely to improve return to w...

Gigapixel end-to-end training using streaming and attention.

Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...

Increasing-Margin Adversarial (IMA) training to improve adversarial robustness of neural networks.

BACKGROUND AND OBJECTIVE: Deep neural networks (DNNs) are vulnerable to adversarial noises. Adversar...

Accurate prediction of isothermal gas chromatographic Kováts retention indices.

We describe a freely available web server called Retention Index Predictor (RIpred) (https://ripred....

Discovery of a Novel DCAF1 Ligand Using a Drug-Target Interaction Prediction Model: Generalizing Machine Learning to New Drug Targets.

DCAF1 functions as a substrate recruitment subunit for the RING-type CRL4 and the HECT family EDVP E...

Computerised emergency work-up for mass-like brain MRI lesions: can explainable AI support radiologists?

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review.

BACKGROUND: Communication is a crucial element of every health care profession, rendering communicat...

Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective.

Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging (dMRI) ...

Human-Robot Collaborations in Smart Manufacturing Environments: Review and Outlook.

The successful implementation of Human-Robot Collaboration (HRC) has become a prominent feature of s...

ReachingBot: An automated and scalable benchtop device for highly parallel Single Pellet Reach-and-Grasp training and assessment in mice.

BACKGROUND: The single pellet reaching and grasp (SPRG) task is a behavioural assay widely used to s...

The comparison data forest: A new comparison data approach to determine the number of factors in exploratory factor analysis.

Developing psychological assessment instruments often involves exploratory factor analyses, during w...

Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting.

A fuzzy cognitive map (FCM) is a graph-based knowledge representation model wherein the connections ...

Learning Performance of Weighted Distributed Learning With Support Vector Machines.

The divide-and-conquer strategy is a very effective method of dealing with big data. Noisy samples i...

Current trends in chromatographic prediction using artificial intelligence and machine learning.

Artificial intelligence (AI) and machine learning (ML) gained tremendous growth and are rapidly beco...

Topology-Based and Conformation-Based Decoys Database: An Unbiased Online Database for Training and Benchmarking Machine-Learning Scoring Functions.

Machine-learning-based scoring functions (MLSFs) have gained attention for their potential to improv...

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes.

This paper presents a novel, autonomous learning system working in real-time for face recognition. M...