Using sequences of life-events to predict human lives
Here we represent human lives in a way that shares structural similarity to language, and we
exploit this similarity to adapt natural language processing techniques to examine the …
exploit this similarity to adapt natural language processing techniques to examine the …
Improving deep regression with ordinal entropy
In computer vision, it is often observed that formulating regression problems as a
classification task often yields better performance. We investigate this curious phenomenon …
classification task often yields better performance. We investigate this curious phenomenon …
A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis
Abstract Ulcerative Colitis is an Inflammatory Bowel disease caused by a variety of factors
that lead to a serious impact on the quality of life of the patients if left untreated. Due to …
that lead to a serious impact on the quality of life of the patients if left untreated. Due to …
Improving rf-dna fingerprinting performance in an indoor multipath environment using semi-supervised learning
MKM Fadul, DR Reising, LP Weerasena… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) deployments are expected to reach 75.4 billion by 2025. Roughly
70% of all IoT devices employ weak or no encryption, thus putting them and their connected …
70% of all IoT devices employ weak or no encryption, thus putting them and their connected …
[HTML][HTML] Using computer vision to improve endoscopic disease quantification in therapeutic clinical trials of ulcerative colitis
RW Stidham, L Cai, S Cheng, F Rajaei, T Hiatt… - Gastroenterology, 2024 - Elsevier
Background & Aims Endoscopic assessment of ulcerative colitis (UC) typically reports only
the maximum severity observed. Computer vision methods may better quantify mucosal …
the maximum severity observed. Computer vision methods may better quantify mucosal …
Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity
Automatic image-based severity estimation is an important task in computer-aided
diagnosis. Severity estimation by deep learning requires a large amount of training data to …
diagnosis. Severity estimation by deep learning requires a large amount of training data to …
Multi-feature transformer-based learning for continuous human motion recognition with high similarity using mmWave FMCW radar
YS Chen, KH Cheng, YA Xu, TY Juang - Sensors, 2022 - mdpi.com
Doppler-radar-based continuous human motion recognition recently has attracted extensive
attention, which is a favorable choice for privacy and personal security. Existing results of …
attention, which is a favorable choice for privacy and personal security. Existing results of …
Learning-to-rank meets language: Boosting language-driven ordering alignment for ordinal classification
We present a novel language-driven ordering alignment method for ordinal classification.
The labels in ordinal classification contain additional ordering relations, making them prone …
The labels in ordinal classification contain additional ordering relations, making them prone …
Multi-frequency microwave dielectric properties-based method coupled with SPA-PLSDA algorithm for rapid discrimination of grain mildew
To achieve in-situ monitoring of the occurrence of grain mildew and ensure food safety, this
study took paddy grains as the object and carried out the discrimination of paddy mildew …
study took paddy grains as the object and carried out the discrimination of paddy mildew …
Class distance weighted cross entropy loss for classification of disease severity
G Polat, ÜM Çağlar, A Temizel - Expert Systems with Applications, 2025 - Elsevier
Assessing disease severity with ordinal classes, where each class reflects increasing
severity levels, benefits from loss functions designed for this ordinal structure. Traditional …
severity levels, benefits from loss functions designed for this ordinal structure. Traditional …