Search Results - "binary classification problem"

The fundamental role of density functions in the binary classification problem by Martínez-Camblor, Pablo

“…In biomedicine, binary classification problems are involved in diagnostic but also, for instance, in personalized medicine…”
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On the binary classification problem in discriminant analysis using linear programming methods by Olusola, Michael O., Onyeagu, Sydney I.

“…) to model the binary classification problem. In the MSDP formulation, the sum of the proportion of exterior deviations is minimised subject to the group separation constraints, the normalisation constraint, the upper bound constraints…”
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The gROC curve and the optimal classification by Martínez-Camblor, Pablo, Pérez-Fernández, Sonia

“…The binary classification problem (BCP) aims to correctly allocate subjects in one of two possible groups…”
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Semiparametric estimator for the covariate-specific receiver operating characteristic curve by Martínez-Camblor, Pablo, Pardo-Fernández, Juan Carlos

“…The study of the predictive ability of a marker is mainly based on the accuracy measures provided by the so-called confusion matrix. Besides, the area under…”
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PKA2-Net: Prior Knowledge-Based Active Attention Network for Accurate Pneumonia Diagnosis on Chest X-Ray Images by Fu, Yu, Xue, Peng, Zhang, Zhili, Dong, Enqing

“… The PKA 2 -Net uses improved ResNet as the backbone network and consists of residual blocks, novel subject enhancement and background suppression (SEBS…”
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Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease by Erdogdu Sakar, Betul, Serbes, Gorkem, Sakar, C. Okan

“…The recently proposed Parkinson's Disease (PD) telediagnosis systems based on detecting dysphonia achieve very high classification rates in discriminating healthy subjects from PD patients…”
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Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision by Liu, Yaojie, Jourabloo, Amin, Liu, Xiaoming

“… Previous deep learning approaches formulate face anti-spoofing as a binary classification problem…”
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Predicting obsessive-compulsive disorder episodes in adolescents using a wearable biosensor—A wrist angel feasibility study by Lønfeldt, Nicole Nadine, Olesen, Kristoffer Vinther, Das, Sneha, Mora-Jensen, Anna-Rosa Cecilie, Pagsberg, Anne Katrine, Clemmensen, Line Katrine Harder

“…Obsessive-compulsive disorders (OCD) are marked by distress, negative emotions, mental processes and behaviors that are reflected in physiological signals such…”
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Deep learning models to predict primary open-angle glaucoma by Zhou, Ruiwen, Miller, J Philip, Gordon, Mae, Kass, Michael, Lin, Mingquan, Peng, Yifan, Li, Fuhai, Feng, Jiarui, Liu, Lei

“… Additionally, many deep learning techniques treat the time-to-glaucoma prediction as a binary classification problem (glaucoma Yes…”
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Decoding motor imagery tasks using ESI and hybrid feature CNN by Fang, Tao, Song, Zuoting, Zhan, Gege, Zhang, Xueze, Mu, Wei, Wang, Pengchao, Zhang, Lihua, Kang, Xiaoyang

“… In this paper, a new framework is proposed to solve the MI-EEG binary classification problem. Electrophysiological source imaging (ESI…”
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On feature selection for traffic congestion prediction by Yang, Su

“… We formulate it as a binary classification problem. Through extensive experiments with real-world data, we found that a large number of sensors, usually over 100, are relevant to the prediction task at one sensor, which means wide area correlation…”
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Computing Based on Material Training: Application to Binary Classification Problems by Vissol-Gaudin, E., Kotsialos, A., Groves, C., Pearson, C., Zeze, D. A., Petty, M. C.

“…Evolution-in-materio is a form of unconventional computing combining materials' training and evolutionary search algorithms. In previous work, a mixture of…”
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Automatic motor and visuospatial cognition screening with ensemble learning: A computerised clock drawing test approach by Lauraitis, Andrius, Ostreika, Armantas, Palubeckis, Gintaras, Motiejunas, Liudas

“…) mobile application from 15 test subjects (including Huntington Disease (HD), Parkinson Disease (PD), cerebral palsy (CP…”
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Towards Automatic and Fast Annotation of Seismocardiogram Signals Using Machine Learning by Thakkar, Hiren Kumar, Sahoo, Prasan Kumar

“… The annotation scheme is formulated as a binary classification problem. Three binary classifiers such as Naïve Bayes (NB…”
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Automatic Identification of Down Syndrome Using Facial Images with Deep Convolutional Neural Network by Qin, Bosheng, Liang, Letian, Wu, Jingchao, Quan, Qiyao, Wang, Zeyu, Li, Dongxiao

“… Here, we developed a Down syndrome identification method utilizing facial images and deep convolutional neural networks, which quantified the binary classification problem of distinguishing subjects…”
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AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest by Jaén-Vargas, Milagros, Pagán, Josué, Li, Shiyang, Trujillo-Guerrero, María Fernanda, Kazemi, Niloufar, Sansò, Alessio, Codina-Casals, Benito, Abi Zeid Daou, Roy, Serrano Olmedo, Jose Javier

“… before. Furthermore, despite the scoring of these tests being not subjective, the performance of some activities are subject to the physiotherapist’s…”
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A Unified Study on Sequentiality in Universal Classification With Empirically Observed Statistics by Li, Ching-Fang, Wang, I-Hsiang

“…="LaTeX">P_{1} </tex-math></inline-formula>. In the scenario where the knowledge of distributions is replaced by empirically observed statistics from the respective distributions, the gain of sequentiality is less understood when subject…”
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Feature uncertainty bounds for explicit feature maps and large robust nonlinear SVM classifiers by Couellan, Nicolas, Jan, Sophie

“…We consider the binary classification problem when data are large and subject to unknown but bounded uncertainties…”
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EEG classification for the detection of mental states by Vézard, Laurent, Legrand, Pierrick, Chavent, Marie, Faïta-Aïnseba, Frédérique, Trujillo, Leonardo

“…[Display omitted] •A method able to automatically determine mental states of alertness is developed.•A complete protocol of EEG data acquisition is…”
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Integrative Analysis of Open Datasets for Stress Prediction by Ladakis, Ioannis, Fotopoulos, Dimitris, Chouvarda, Ioanna

“…Purpose Stress is the physiological or psychological response to internal or external stressors. By causing physiological and behavioral changes, persistent…”
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