DRRN: Differential rectification & refinement network for ischemic infarct segmentation by Wenxue Zhou, Wenming Yang, Qingmin Liao

“…With the prior knowledge that asymmetric analysis of anatomical structures can provide discriminative information, plenty of symmetry‐based approaches have emerged to detect abnormalities in brain images. …”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…Specifically, for the auxiliary constraint, a set of convolutional structures are involved into a conventional network to act as a discriminator, then adversarial network is established. …”
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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation by Jae-Hyun Seo, Yong Hee Lee, Yong-Hyuk Kim

“…Evolutionary algorithms were used to select important features. Discriminant functions, such as support vector machine (SVM), k-nearest neighbors algorithm (k-NN), and variant k-NN (k-VNN), were adopted in discriminant analysis. …”
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ADGAN: Adaptive Domain Medical Image Synthesis Based on Generative Adversarial Networks by Liming Xu, Yanrong Lei, Bochuan Zheng, Jiancheng Lv, Weisheng Li

“…Additionally, spectral normalization is introduced into the discriminator to control discriminative performance and indirectly enhance the image synthesis ability of the generator. …”
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Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder by Zexin Li, Kaiji Yang, Lili Zhang, Chiju Wei, Peixuan Yang, Wencan Xu

“…The classifier developed in this study has the superb discriminative ability for thyroid nodules. However, it needs validation in cytologically indeterminate thyroid nodules before clinical use.…”
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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

“…By using machine learning algorithm, a discriminant model and a hierarchical model were trained.ResultsThe discriminant model was used to distinguish between healthy people and stroke patients. …”
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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss by Guofa Li, Lisha Huang, Liangwen Tang, Chunli Han, Yaoyu Chen, Heng Xie, Shen Li, Gang Xu

“…The results showed that our proposed ADCSLL was more discriminative than most of the other compared state-of-the-art methods. …”
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Estimation of rice yield using multivariate analysis techniques based on meteorological parameters by Ajay Sharma, Joginder Kumar, Mandeep Redhu, Parveen Kumar, Mohit Godara, Pushpa Ghiyal, Pingping Fu, Mehdi Rahimi

“…It utilizes stepwise multiple regression, discriminant function analysis and logistic regression techniques to forecast crop yield in specific districts of Haryana. …”
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Heart rate dynamics for cognitive load estimation in a driving simulation task by Karina Rollandovna Arutyunova, Anastasiia Vladimirovna Bakhchina, Daniil Igorevich Konovalov, Mane Margaryan, Andrei Viktorovich Filimonov, Ivan Sergeevich Shishalov

“…We found gender and age effects on discriminative accuracy of HR and HRV metrics which were related to subjective ratings of CL. …”
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Frailty Assessment Tools in Chronic Kidney Disease: A Systematic Review and Meta-analysis by Alisha Puri, Anita M. Lloyd, Aminu K. Bello, Marcello Tonelli, Sandra M. Campbell, Karthik Tennankore, Sara N. Davison, Stephanie Thompson

“…The modified FFP (self-reported) showed acceptable discriminative validity and agreement with the FFP in patients with KF. …”
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Text steganalysis using AdaBoost by SUI Xin-guang, SHEN Lei, YAN Ji-kun, ZHU Zhong-liang

“…The statistical models and features of natural texts was analyzed,and it was pointed out that embedding mes-sages in texts will change the features of them.According to the changes,a blind detecting method was designed using AdaBoost.Five basic parameters of texts was extracted as distinguished feature vectors to discriminate natural texts and stego-texts effectively using AdaBoost.Experimental results show the high accuracy and reliability of the method.…”
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A Three-Dimensional Anisotropic Diffusion Equation-Based Video Recognition Model for Classroom Concentration Evaluation in English Language Teaching by Yanghong Liu, Jintao Liu

“…The two features complement each other, and the fused features are more discriminative, which provides a strong basis for the live determination of face images. …”
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The Dorsiflexion Range of Motion Screen: A Validation Study by Phillip J Plisky, Garrett S Bullock, Mary Beth Garner, Risa Ricard, Josh Hayden, Bethany Huebner, Kate Schwartzkopf-Phifer, Kyle Kiesel

“… # Purpose The purpose of this study was to determine the reliability and discriminant validity of a novel closed-chain ankle DF ROM test, the standing ankle dorsiflexion screen (SADS)…”
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Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG) by Ahmed M. A. Mohamed, Osman N. Uçan, Oğuz Bayat, Adil Deniz Duru

“…Six classifiers, including logistic regression (LR), K-Nearest Neighbors (KNN), linear discriminant (LD), decision tree (DT), support vector machine (SVM), and Gaussian Naive Bayes (GNB) are used to discriminate the resting states of the brain based on the extracted features. …”
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3D Face Modeling Algorithm for Film and Television Animation Based on Lightweight Convolutional Neural Network by Cheng Di, Jing Peng, Yihua Di, Siwei Wu

“…Aiming at the problem that the feature extraction algorithm based on the difference criterion cannot effectively extract the discriminative information, the Generalized Multiple Maximum Dispersion Difference Criterion (GMMSD) and the corresponding feature extraction algorithm are proposed. …”
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Could Selectively Skipping of the Repetitive Thinking Questionnaire among a Series of Self-Report Scales in a Study Be a Coping Strategy? by İ. Volkan GÜLÜM, İhsan DAĞ

“…All participants have completed the Experiences in Close Relationships – Revised Inventory, Repetitive Thinking Questionnaire, Cognitive Flexibility Inventory and Brief Symptom Inventory.Results: To test our hypothesis series of ANOVA, MANOVA and discriminant analysis were conducted. According the variance analysis, the IRT group had more psychopathology symptoms and attachment anxiety than the LRT group and less than the HRT group. …”
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Variables Selection from the Patterns of the Features Applied to Spectroscopic Data—An Application Case by José L. Romero-Béjar, Francisco Javier Esquivel, José Antonio Esquivel

“…Spectrometers provide a large amount of data, the so-called “big data” type, which requires the use of multivariate statistical techniques, mainly principal component analysis, cluster analysis, and discriminant analysis. This work is focused on reducing the dimensionality of the data by selecting a small subset of variables to characterize the samples and presents a mathematical methodology for the selection of the most efficient variables. …”
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BiomiX, a user-friendly bioinformatic tool for democratized analysis and integration of multiomics data by Cristian Iperi, Álvaro Fernández-Ochoa, Guillermo Barturen, Jacques-Olivier Pers, Nathan Foulquier, Eleonore Bettacchioli, Marta Alarcón-Riquelme, PRECISESADS Flow Cytometry Study Group, PRECISESADS Clinical Consortium, Divi Cornec, Anne Bordron, Christophe Jamin

“…BiomiX fine-tunes MOFA models, to optimize factors number selection, distinguishing between cohorts and providing tools to interpret discriminative MOFA factors. The interpretation relies on innovative bibliography research on Pubmed, which provides the articles most related to the discriminant factor contributors. …”
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Discrete Wilson Lines in F-Theory by Volker Braun

“…The base manifolds used are a toric Fano variety and a smooth toric threefold coming from a reflexive polyhedron. The discriminant locus of the elliptically fibered Calabi-Yau fourfold can be chosen such that one irreducible component is not simply connected (namely, an Enriques surface) and supports a non-Abelian gauge theory.…”
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Progress in quality assessment of Italian saffron by Irene Locatelli, Davide Pedrali, Silvia Grassi, Susanna Buratti, Annamaria Giorgi, Luca Giupponi

“…Best results were obtained by linear discriminant analysis models with accuracy in calibration (92.7%), cross-validation (86.4%) and prediction (87.0%). …”
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