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A Parallel Convolution and Decision Fusion-Based Flower Classification Method
This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.
Date:
August 4, 2022
Creator:
Jia, Lianyin; Zhai, Hongsong; Yuan, Xiaohui; Jiang, Ying & Ding, Jiaman
System:
The UNT Digital Library
A Gaze into the Internal Logic of Graph Neural Networks, with Logic
Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.
Date:
August 4, 2022
Creator:
Tarau, Paul
System:
The UNT Digital Library
COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications
Article studying the problem of incorporating corpus, ontology, and semantic predications to learn the embeddings of MeSH terms. The authors propose a novel framework, Corpus, Ontology, and Semantic predications-based MeSH term embedding (COS), to generate high-quality MeSH term embeddings.
Date:
May 4, 2021
Creator:
Ding, Juncheng & Jin, Wei
System:
The UNT Digital Library
Action unit classification for facial expression recognition using active learning and SVM
Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.
Date:
April 4, 2021
Creator:
Yao, Li; Wan, Yan & Xu, Bugao
System:
The UNT Digital Library
TS: A powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data
This article proposes a new truncated statistic method (TS) by utilizing a truncated method to find the genes that have a true contribution to the genetic association. The proposed truncated statistic outperforms existing methods. It can be employed to detect novel traits associated genes using GWAS summary data.
Date:
May 4, 2020
Creator:
Zhang, Jianjun; Guo, Xuan; Gonzales, Samantha; Yang, Jingjing & Wang, Xuexia
System:
The UNT Digital Library