Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks by Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno

“…The considered problems present a high intrinsic difficulty when extracting specific relevant features for discriminating the involved subclasses. Our solution is based on convolutional neural networks since these models had proven better capabilities to extract good features when compared to hand-crafted ones. …”
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ABPI against Colour Duplex Scan: A Screening Tool for Detection of Peripheral Arterial Disease in Low Resource Setting Approach to Validation by Janaka Weragoda, Rohini Seneviratne, Manuj C. Weerasinghe, S. M. Wijeyaratne

“…Narrowing of luminal diameter of lower limb arteries 50% or more was considered as haemodynamically significant and having PAD. The discriminative performance of the ABPI was assessed using Receiver Operator Characteristic (ROC) curve and calculating the area under the curve (AUC). …”
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Investigating the CREDIT History of Supernova Remnants as Cosmic-Ray Sources by Anton Stall, Chun Khai Loo, Philipp Mertsch

“…The decision tree that we have trained on simulated data is able to discriminate with very high significance between the null hypothesis of a smooth distribution of sources and the scenario with a stochastic distribution of individual sources. …”
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Automating the quantification of coastal change using historical aerial photography: A case study along the coastline of county Cork, Ireland by Emma Chalençon, Fiona Cawkwell, Michael O’Shea, Jimmy Murphy

“…The approach relies on the Normalised Green–Blue Difference Index (NGBDI), which is versatile enough to discriminate disparate coastal vegetation environments, at different resolutions and in various lighting and seasonal conditions. …”
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Dual-Granularity Feature Alignment for Change Detection in Remote Sensing Images by Feng Zhou, Xinyu Zhang, Hui Shuai, Renlong Hang, Shanshan Zhu, Tianyu Geng

“…Deep learning has emerged as the preferred method for remote sensing change detection owing to its ability to automatically extract discriminative features from bitemporal images. However, few methods simultaneously consider heterogeneous appearance of objects and affine geometric difference between bitemporal images, both of which contribute to pseudochange. …”
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Application of mean maximum Young’s modulus value as a new parameter for differential diagnosis of prostate diseases by Nailei Huang, Xinge Cao, Zhong Li, Haoyu Wang, Wei Zhao, Jun Shi

“…M-Emax was statistically correlated with and good discriminability for PCa and BPH. There was a nonlinear dose-response relationship between m-Emax and PCa risk, as well as between m-Emax and BPH risk. …”
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Exploration of Lipid Metabolism Alterations in Children with Active Tuberculosis Using UHPLC-MS/MS by Baixu Sun, Fang Liu, Qingqin Yin, Tingting Jiang, Min Fang, Li Duan, Shuting Quan, Xue Tian, Adong Shen, Kaixia Mi, Lin Sun

“…Plasma samples obtained from 70 active TB children, 21 non-TB infectious disease children, and 21 healthy controls were analyzed by a partial least-squares discriminant analysis model in the training set, and 12 metabolites were identified that can separate children with TB from non-TB controls. …”
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Identification of the Aerosol Types over Athens, Greece: The Influence of Air-Mass Transport by D. G. Kaskaoutis, P. G. Kosmopoulos, H. D. Kambezidis, P. T. Nastos

“…Based on both AOD550 and FM values three main aerosol types have been discriminated corresponding to urban/industrial aerosols, clean maritime conditions, and coarse-mode, probably desert dust, particles. …”
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Serum and Cerebrospinal Fluid Cytokine Biomarkers for Diagnosis of Multiple Sclerosis by Ekaterina Martynova, Mehendi Goyal, Shikhar Johri, Vinay Kumar, Timur Khaibullin, Albert A. Rizvanov, Subhash Verma, Svetlana F. Khaiboullina, Manoj Baranwal

“…Also, these binary classifier models had the accuracy in the range of 70-78% (serum) and 60-69% (CSF) to discriminate between the progressive (primary and secondary progressive) and relapsing-remitting forms of MS. …”
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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios by Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente

“…To the best of our knowledge, this system is the only one that offers interpretability together with a semi‐supervised approach in an industrial setting. Our system discriminates between causes and effects of anomalies and also achieved the best performance for 11 types of anomalies out of 20 with an overall recall of 0.9577, a precision of 0.9977, and a F1‐score of 0.9711.…”
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Airborne Mapping of Atmospheric Ammonia in a Mixed Discrete and Diffuse Emission Environment by David M. Tratt, Clement S. Chang, Eric R. Keim, Kerry N. Buckland, Morad Alvarez, Olga Kalashnikova, Sina Hasheminassab, Michael J. Garay, Yaning Miao, William C. Porter, Francesca M. Hopkins, Payam Pakbin, Mohammad Sowlat

“…At this pixel resolution, ammonia plumes emitted by individual facilities could be clearly discriminated and their dispersion characteristics inferred. …”
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Free-caged rearing modes regulate chicken intestinal metabolism by influencing gut microbial homeostasis by Tao Li, Peng Wang, Zhuo Zhi, Tong Guo, Jie Zhou, Huiya Zhang, Chang Cao, Yingjie Cai, Yuxiao Li, Jianqin Zhang

“…We identified 32 metabolites and 367 microbial species significantly affected by the rearing mode. Linear discriminant analysis Effect Size (LefSe) highlighted five key microorganisms, Gemmiger formicilis, Bacteria unclassified, Bacteroides sp. …”
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Differences Between Lovastatin and Simvastatin Hydrolysis in Healthy Male and Female Volunteers: Gut Hydrolysis of Lovastatin is Twice that of Simvastatin by Tom B. Vree, Erik Dammers, Ivan Ulc, Stefan Horkovics-Kovats, Miroslav Ryska, IJsbrand Merkx

“…In the fan of data points, subgroups could be distinguished, each showing a different regression line and with a different Y-intercept (AUCtβ-hydroxy acid). 3-Lovastatin hydrolysis was higher than simvastatin hydrolysis. 4-It was possible to discriminate between hydrolysis of both lovastatin and simvastatin by plasma/liver or tissue esterase activity.…”
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Minimal operational theories: classical theories with quantum features by Davide Rolino, Marco Erba, Alessandro Tosini, Paolo Perinotti

“…Additionally, we establish the pairwise independence of the properties of simpliciality, strong causality, and local discriminability.…”
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Optimization of Jamming Type Selection for Countering Multifunction Radar Based on Generative Adversarial Imitation Learning by Tianjian Yang, You Chen, Siyi Cheng, Xing Wang, Xi Zhang

“…Secondly, based on generative adversarial theory, the discriminator measures the difference between the generated and expert strategies. …”
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A Novel Two-Stage Spectrum-Based Approach for Dimensionality Reduction: A Case Study on the Recognition of Handwritten Numerals by Mohammad Amin Shayegan, Saeed Aghabozorgi, Ram Gopal Raj

“…Although there are different conventional approaches for feature selection, such as Principal Component Analysis, Random Projection, and Linear Discriminant Analysis, selecting optimal, effective, and robust features is usually a difficult task. …”
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Contributions of distractor dwelling, skipping, and revisiting to age differences in visual search by Iris Wiegand, Mariska van Pouderoijen, Joukje M. Oosterman, Kay Deckers, Gernot Horstmann

“…Abstract Visual search becomes slower with aging, particularly when targets are difficult to discriminate from distractors. Multiple distractor rejection processes may contribute independently to slower search times: dwelling on, skipping of, and revisiting of distractors, measurable by eye-tracking. …”
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Ability of Human Auditory Perception to Distinguish Human-Imitated Speech by Khalid Zaman, Kai Li, Islam J. A. M. Samiul, Yasufumi Uezu, Shunsuke Kidani, Masashi Unoki

“…Human auditory perception (HAP) has been widely studied to understand its mechanisms, with HAP-based acoustic features and metrics applied in various applications to assess sound quality and discriminate sound events. Leveraging these insights, this study specifically aims to evaluate HAP’s effectiveness in differentiating genuine from imitated speech through a systematic subject test. …”
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Real Life Cancer Comorbidity in Greek Patients with Diabetes Mellitus Followed Up at a Single Diabetes Center: An Unappreciated New Diabetes Complication by Anastasia Thanopoulou, Demetrios Pectasides

“…No specific characteristics discriminate patients with cancer. Therefore presymptomatic cancer detection and prevention strategies may have to be incorporated into the annual systematic evaluation of our patients.…”
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Image recoloring detection based on inter-channel correlation by Nuo CHEN, Shuren QI, Yushu ZHANG, Mingfu XUE, Zhongyun HUA

“…Image recoloring is an emerging editing technique that can change the color style of an image by modifying pixel values.With the rapid proliferation of social networks and image editing techniques, recolored images have seriously hampered the authenticity of the communicated information.However, there are few works specifically designed for image recoloring.Existing recoloring detection methods still have much improvement space in conventional recoloring scenarios and are ineffective in dealing with hand-crafted recolored images.For this purpose, a recolored image detection method based on inter-channel correlation was proposed for conventional recoloring and hand-crafted recoloring scenarios.Based on the phenomenon that there were significant disparities between camera imaging and recolored image generation methods, the hypothesis that recoloring operations might destroy the inter-channel correlation of natural images was proposed.The numerical analysis demonstrated that the inter-channel correlation disparities can be used as an important discriminative metric to distinguish between recolored images and natural images.Based on such new prior knowledge, the proposed method obtained the inter-channel correlation feature set of the image.The feature set was extracted from the channel co-occurrence matrix of the first-order differential residuals of the differential image.In addition, three detection scenarios were assumed based on practical situations, including scenarios with matching and mismatching between training-testing data, and scenario with hand-crafted recoloring.Experimental results show that the proposed method can accurately identify recolored images and outperforms existing methods in all three hypothetical scenarios, achieving state-of-the-art detection accuracy.In addition, the proposed method is less dependent on the amount of training data and can achieve fairly accurate prediction results with limited training data.…”
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