Surveys

Artificial intelligence, bias and clinical safety.

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

Performing quality control to detect image artifacts and data-processing errors is crucial in struct...

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks.

Traditional recommender systems rely on user profiling based on either user ratings or reviews throu...

Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.

Fear of pain demonstrates significant prognostic value regarding the development of persistent muscu...

Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.

Nowadays, automatic tumor detection from brain images is extremely significant for many diagnostic a...

Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.

The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determinatio...

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.

Deep learning is a branch of artificial intelligence where networks of simple interconnected units a...

An extensive experimental survey of regression methods.

Regression is a very relevant problem in machine learning, with many different available approaches....

Using a stacked-autoencoder neural network model to estimate sea state bias for a radar altimeter.

This paper constructed a stacked-autoencoder neural network model (SAE model) to estimate sea state ...

Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding.

Person re-identification (Re-ID) aims to match identities across non-overlapping camera views. Resea...

Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...

A Survey of Multi-task Learning Methods in Chemoinformatics.

Despite the increasing volume of available data, the proportion of experimentally measured data rema...

Evaluation of the bias and precision of regression techniques and machine learning approaches in total dissolved solids modeling of an urban aquifer.

TDS is modeled for an aquifer near an unlined landfill in Canada. Canadian Drinking Water Guidelines...

A Survey of the Techniques for The Identification and Classification of Human Actions from Visual Data.

Recognition of human actions form videos has been an active area of research because it has applicat...

Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.

Detection of defects including cracks and spalls on wall surface in high-rise buildings is a crucial...

Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network.

Unmanned aerial vehicles (UAVs) require data-link system to link ground data terminals to the real-t...

Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study.

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) has the potential to transform the clinical p...

A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.

Cancer genomic analysis requires accurate identification of somatic variants in sequencing data. Man...

A Novel Classification and Identification Scheme of Emitter Signals Based on Ward's Clustering and Probabilistic Neural Networks with Correlation Analysis.

The rapid development of modern communication technology makes the identification of emitter signals...

Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors.

Machine learning and data mining approaches are being successfully applied to different fields of li...

Newborn self-inflating manual resuscitators: precision robotic testing of safety and reliability.

AIM: A controlled bench test was undertaken to determine the performance variability among a range o...