AIMC Topic: Benchmarking
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Revisiting performance metrics for prediction with rare outcomes.
Statistical methods in medical research
Sep 1, 2021
Machine learning algorithms are increasingly used in the clinical literature, claiming advantages over logistic regression. However, they are generally designed to maximize the area under the receiver operating characteristic curve. While area under ...
EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment.
Sensors (Basel, Switzerland)
Aug 24, 2021
Human action recognition in videos has become a popular research area in artificial intelligence (AI) technology. In the past few years, this research has accelerated in areas such as sports, daily activities, kitchen activities, etc., due to develop...
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features.
International journal of molecular sciences
Aug 19, 2021
Accurate identification of bitter peptides is of great importance for better understanding their biochemical and biophysical properties. To date, machine learning-based methods have become effective approaches for providing a good avenue for identify...
A benchmark for neural network robustness in skin cancer classification.
European journal of cancer (Oxford, England : 1990)
Aug 11, 2021
BACKGROUND: One prominent application for deep learning-based classifiers is skin cancer classification on dermoscopic images. However, classifier evaluation is often limited to holdout data which can mask common shortcomings such as susceptibility t...
Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions.
JAMA network open
Aug 2, 2021
IMPORTANCE: Triage in the emergency department (ED) is a complex clinical judgment based on the tacit understanding of the patient's likelihood of survival, availability of medical resources, and local practices. Although a scoring tool could be valu...
TEM virus images: Benchmark dataset and deep learning classification.
Computer methods and programs in biomedicine
Jul 29, 2021
BACKGROUND AND OBJECTIVE: To achieve the full potential of deep learning (DL) models, such as understanding the interplay between model (size), training strategy, and amount of training data, researchers and developers need access to new dedicated im...
Benchmarking and Testing Machine Learning Approaches with BARRA:CuRDa, a for Cancer Research.
Journal of computational biology : a journal of computational molecular cell biology
Jul 14, 2021
Re: Loc Trinh, Samuel Mingo, Erik B. Vanstrum, et al. Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy. Eur Urol Focus. In press. https://doi.org/10.1016/j.euf.2021.04.001.
European urology focus
Jul 3, 2021
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.
Medical image analysis
Jun 22, 2021
Segmentation of ovary and follicles from 3D ultrasound (US) is the crucial technique of measurement tools for female infertility diagnosis. Since manual segmentation is time-consuming and operator-dependent, an accurate and fast segmentation method i...
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