2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

“…Subsequently, considering discriminant information, a Supervised Two-dimensional UMAP algorithm (2DSUMAP) is proposed. …”
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A Panel of Blood Biomarkers for the Diagnosis of Transient Ischemic Attacks by Daisy Guamán-Pilco, Elena Palà, Marcel Lamana-Vallverdú, Anna Penalba, Paula García-Rodríguez, Marta Rubiera, Alejandro Bustamante, Soledad Pérez-Sánchez, Joan Montaner

“…ApoC-III, IL-6, and vWF were the most effective biomarkers in discriminating TIAs from mimics after adjustment for clinical variables. …”
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IAPCP: An Effective Cross-Project Defect Prediction Model via Intra-Domain Alignment and Programming-Based Distribution Adaptation by Nana Zhang, Kun Zhu, Dandan Zhu

“…Intra-domain programming can directly learn a nonparametric linear transfer defect predictor with strong discriminative capacity by solving a probabilistic annotation matrix (PAM) based on the adjusted features of the source project. …”
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Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features by Weidong Song, Guohui Jia, Hong Zhu, Di Jia, Lin Gao

“…In this work, we introduce a novel multiscale dilated convolutional module that can learn rich deep convolutional features, making the crack features acquired under a complex background more discriminant. Moreover, in the upsampling module process, the high spatial resolution features of the shallow network are fused to obtain more refined pixel-level pavement crack detection results. …”
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Signatures of Core-envelope Rotational Misalignment in the Mixed-mode Asteroseismology of Kepler-56 by J. M. Joel Ong

“…More detailed asteroseismic modeling, and spectroscopic follow-up, will be required to fully elucidate the full spin–orbit geometry of the Kepler-56 system, and potentially discriminate between hypotheses for how it formed.…”
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Comparative analysis of Fenghuang Dancong, Tieguanyin, and Dahongpao teas using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry and chemomet... by Zhangwei Li

“…In addition, chemometric methods such as hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were used for distinguishing and classifying the three types of oolong teas on the basis of the similarities and differences in the volatile components. …”
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Multiperson Interactive Activity Recognition Based on Interaction Relation Model by Hongbin Tu, Renyu Xu, Rui Chi, Yuanyuan Peng

“…Experimental results suggest that the proposed method in the paper could capture the discriminative relation information for multiperson interactive activity recognition, which further validates the efficiency of the hybrid learning model.…”
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Generating context-specific sports training plans by combining generative adversarial networks. by Juquan Tan, Jingwen Chen

“…The proposed GAN framework combines numeric and motion features using a generator-discriminator architecture to produce tailored training plans. …”
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Research on the improvement method of imbalance of ground penetrating radar image data by Ligang Cao, Lei Liu, Congde Lu, Ruimin Chen

“…We have made a number of improvements to the generator and discriminator, as well as to the newly added encoder. …”
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Individual Contribution-Based Spatial-Temporal Attention on Skeleton Sequences for Human Interaction Recognition by Xing Liu, Bo Gao

“…Second, capturing both spatial information from skeleton structures and temporal information from interaction sequences is crucial for discriminative interaction feature representation. Third, the different contributions of each participant especially in asymmetric interactions are often overlooked. …”
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EEG-DGRN: dynamic graph representation network for subject-independent ERP detection by Jiabin Zhu, Xuanyu Jin, Yuhang Ming, Wanzeng Kong

“…Existing event-related potential (ERP) detection methods inadequately consider the dynamic connectivity of EEG signals and event response differences between subjects, limiting the discriminability of task-related features.Methods In this article, we propose EEG-DGRN, a dynamic graph representation network designed for subject-independent ERP detection. …”
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Comparing the Mini-BESTest with the Berg Balance Scale to Evaluate Balance Disorders in Parkinson's Disease by Laurie A. King, Kelsey C. Priest, Arash Salarian, Don Pierce, Fay B. Horak

“…Consequently, the Mini-BESTest is more effective than the Berg for predicting UPDRS Motor score (P<0.001 Mini-BESTest versus P=0.86 Berg), and for discriminating between those with and without postural response deficits as measured by the H&Y (ROC differential P=0.06). …”
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On improving interoperability for cross‐domain multi‐finger fingerprint matching using coupled adversarial learning by Md Mahedi Hasan, Nasser Nasrabadi, Jeremy Dawson

“…In this study, to address this issue, the authors propose a coupled adversarial learning framework to learn a fingerprint representation in a low‐dimensional subspace that is discriminative and domain‐invariant in nature. In fact, using a conditional coupled generative adversarial network, the authors project both the contactless and the contact‐based fingerprint into a latent subspace to explore the hidden relationship between them using class‐specific contrastive loss and ArcFace loss. …”
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Comparing subsampling strategies for metagenomic analysis in microbial studies using amplicon sequence variants versus operational taxonomic units. by Daniel Segura, Divya Sharma, Osvaldo Espin-Garcia

“…We used 199 samples of infant-gut microbiome data from the DIABIMMUNE project to generate ASVs and OTUs, then generated subsamples based on five existing biologically driven subsampling methods and two data driven methods. Linear discriminant analysis Effect Size (LEfSe) was used to assess differential representation of taxa between the subsamples and the overall sample. …”
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Validation, Adaptation and Assessment of Orofacial Esthetic Scale in Hindi Language by Paulina, Pankaj Dhawan, Neha Jain, Uswah Khan

“…Statistical Analysis Used: Discriminant and convergent validity and reliability were measured. …”
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Detection of Adulteration of Extra Virgin Olive Oil via Laser-Induced Breakdown Spectroscopy and Ultraviolet-Visible-Near-Infrared Absorption Spectroscopy: A Comparative Study by Eleni Nanou, Marios Bekogianni, Theodoros Stamatoukos, Stelios Couris

“…., fused), by Linear Discriminant Analysis (LDA), Support Vector Machines (SVMs), and Logistic Regression (LR). …”
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The Opportunistic Nature of Soviet Jewish Policy by Boris N. Mironov

“…However, as a rule, this was not the result of official antisemitism, Russophobia or any ethnophobia in its pure form. Jews were discriminated against in the pre-war period, primarily due to the fierce struggle for political power at the top, and in the post-war period - due to the transition of a significant part of the Jewish diaspora into opposition to the Soviet regime and a continued desire to emigrate. …”
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Polarimetric image recovery method with domain-adversarial learning for underwater imaging by Fei Tian, Jiuming Xue, Zhedong Shi, Hongling Luo, Wanyuan Cai, Wei Tao

“…The designed water-type classifier and domain-adversarial learning strategy enable the multi-encoder to output domain-independent features, the decoder outputs clear images consistent with the ground truths with the help of the discriminator and generative-adversarial learning strategy, and there is another decoder responsible for outputting DoLP image. …”
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Liquid Chromatography-Mass Spectrometry-Based Untargeted Metabolomics Analysis of Differential Metabolites in Three Types of Boza Made from Different Raw Materials by WANG Qi, GAO Yan, XUE Juanjuan, ZENG Jun, HUO Xiangdong, ZHAO Zhongkai

“…Multivariate statistical techniques such as principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to screening for differential metabolites, and pathway enrichment analysis of differential metabolites was carried out. …”
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Characteristics of the Bacterial Community in Alpine Meadows in Response to Altitude and Aspect in the Qilian Mountains, Northwest China by Qiang Li, Ying Zhang, Xiaoni Liu, Fan Yang

“…Specifically, the Shannon and Chao1 indices of soil bacteria initially increased and then decreased with increasing altitude, with the Shannon index being lower in shady aspects compared to sunny aspects, and the Chao1 index being lower in sunny aspects above an altitude of 3400 m compared to shady aspects at the exact altitudes. Using Linear Discriminant Analysis Effect Size analysis, we identified 77 bacterial species in the research area, with key ecological functions primarily associated with nitrification, aerobic ammonia oxidation, and chitinolysis. …”
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