MLR-OOD: a Markov chain based Likelihood Ratio method for Out-Of-Distribution detection of genomic sequences.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of molecular biology"
DOI: 10.1016/j.jmb.2022.167586
Abstract: Machine learning or deep learning models have been widely used for taxonomic classification of metagenomic sequences and many studies reported high classification accuracy. Such models are usually trained based on sequences in several training classes… read more here.
Keywords: likelihood ratio; ood; markov chain; mlr ood ... See more keywords
Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3171582
Abstract: Deep learning methods have shown outstanding potential in dermatology for skin lesion detection and identification. However, they usually require annotations beforehand and can only classify lesion classes seen in the training set. Moreover, large-scale, open-sourced… read more here.
Keywords: ood; skin lesion; detection; lesion ... See more keywords
Robust Cough Detection with Out-of-Distribution Detection.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3264783
Abstract: Cough is an important defense mechanism of the respiratory system and is also a symptom of lung diseases, such as asthma. Acoustic cough detection collected by portable recording devices is a convenient way to track… read more here.
Keywords: robust cough; ood; cough detection; detection ... See more keywords
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3222044
Abstract: Data augmentation (DA) is a widely used technique for enhancing the training of deep neural networks. Recent DA techniques which achieve state-of-the-art performance always meet the need for diversity in augmented training samples. However, an… read more here.
Keywords: ood; resmooth detecting; data augmentation; ood samples ... See more keywords
African Americans now Outpace Whites in Opioid-Involved Overdose Deaths: A Comparison of Temporal Trends from 1999-2018.
Sign Up to like & getrecommendations! Published in 2020 at "Addiction"
DOI: 10.1111/add.15233
Abstract: AIMS To estimate racial differences in rates of opioid-involved overdose deaths (OOD) between Whites and African Americans in the U.S. from 1999 to 2018 to (1) identify racial variation in the temporal trends of OOD… read more here.
Keywords: opioid involved; 1999 2018; ood; african americans ... See more keywords
Opioid Overdose Deaths Among Formerly Incarcerated Persons and the General Population: North Carolina, 2000‒2018.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of public health"
DOI: 10.2105/ajph.2021.306621
Abstract: Objectives. To compare opioid overdose death (OOD) rates among formerly incarcerated persons (FIPs) from 2016 to 2018 with the North Carolina population and with OOD rates from 2000 to 2015. Methods. We performed a retrospective… read more here.
Keywords: ood; among formerly; opioid overdose; ood rates ... See more keywords