Výsledky vyhľadávania - "binary classification problem"

A decision-making tool for the determination of the distribution center location in a humanitarian logistics network Autor Taouktsis, Xenofon, Zikopoulos, Christos

“…•We propose a novel tool for selecting a distribution center for aid distribution.•We combine knowledge from different fields for a hybrid decision-making…”
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Kinship Verification in Childhood Images Using Vision Transformer Autor Oruganti, Madhu, Meenpal, Toshanlal, Majumdar, Saikat, Tekchandani, Hitesh

“…Facial Kinship Verification involves determining whether two face images belong to relatives, a task that is particularly challenging due to subtle differences…”
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Refined evaluation methods for preventive maintenance of project-level asphalt pavement based on confusion-regression model Autor Li, Yan, Zou, Zhengbo, Zhang, Jiupeng, He, Yinzhang, Huang, Guojing, Li, Junbo

“…•Airport pavement preventive maintenance three-level evaluation index system is established.•PM decisions are considered as the binary classification…”
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Towards robust validation strategies for EO flood maps Autor Landwehr, Tim, Dasgupta, Antara, Waske, Björn

“…Flood maps based on Earth Observation (EO) data inform critical decision-making in almost every stage of the disaster management cycle, directly impacting the…”
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The gROC curve and the optimal classification Autor Martínez-Camblor, Pablo, Pérez-Fernández, Sonia

“…The binary classification problem (BCP) aims to correctly allocate subjects in one of two possible groups. The groups are frequently defined as having or not…”
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About the use of the overlap coefficient in the binary classification context Autor Martínez-Camblor, Pablo

“…The overlap coefficient (OVL) measures the common area between two or more density functions. It has been used for measuring the similarity between…”
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Semiparametric estimator for the covariate-specific receiver operating characteristic curve Autor 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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The fundamental role of density functions in the binary classification problem Autor Martínez-Camblor, Pablo

“…In biomedicine, binary classification problems are involved in diagnostic but also, for instance, in personalized medicine. The objective is to use information…”
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Reducing the overfitting in the gROC curve estimation Autor Martínez-Camblor, Pablo, Díaz-Coto, Susana

“…The generalized receiver-operating characteristic, gROC, curve considers the classification ability of diagnostic tests when both larger and lower values of…”
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Confidence intervals for the length of the receiver-operating characteristic curve based on a smooth estimator Autor Martínez-Camblor, Pablo

“…A good diagnostic test should show different behavior on both the positive and the negative populations. However, this is not enough for having a good…”
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AdaDT: An adaptive decision tree for addressing local class imbalance based on multiple split criteria Autor Yan, Jianjian, Zhang, Zhongnan, Dong, Huailin

“…As it is well known, decision tree is a kind of data-driven classification model, and its primary core is the split criterion. Although a great deal of split…”
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Effective object tracking using extreme learning machine with smoothness and preference regularisation Autor Wang, Baoxian, Wang, Shuigen, Liu, Xun, Yang, Jinglin

“…A novel object tracking method is proposed that takes advantage of the fast learning capability of extreme learning machine (ELM). Specifically, object…”
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Deep template matching for offline handwritten Chinese character recognition Autor Li, Zhiyuan, Xiao, Yi, Wu, Qi, Jin, Min, Lu, Huaxiang

“…Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks provide an end-to-end solution in handwritten Chinese…”
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Sensor Fault Detection Using an Extended Kalman Filter and Machine Learning for a Vehicle Dynamics Controller Autor Ossig, Daniel L., Kurzenberger, Kevin, Speidel, Simon A., Henning, Kay-Uwe, Sawodny, Oliver

“…This paper describes a new sensor fault detection approach for a vehicle dynamics controller. The detection problem is divided into two parts. First, a…”
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Person re-identification by modelling principal component analysis coefficients of image dissimilarities Autor Martinel, N, Micheloni, C

“…Signature-based matching has been the dominant choice for state-of-the-art person re-identification across multiple disjoint cameras. An approach that exploits…”
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The data complexity index to construct an efficient cross-validation method Autor Li, Der-Chiang, Fang, Yao-Hwei, Fang, Y.M. Frank

“…Cross-validation is a widely used model evaluation method in data mining applications. However, it usually takes a lot of effort to determine the appropriate…”
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Learning cellular automata rules for binary classification problem Autor Piwonska, Anna, Seredynski, Franciszek, Szaban, Miroslaw

“…This paper proposes a cellular automata-based solution of a binary classification problem. The proposed method is based on a two-dimensional, three-state…”
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Inferring non-synonymous single-nucleotide polymorphisms-disease associations via integration of multiple similarity networks Autor Wu, Jiaxin, Yang, Silu, Jiang, Rui

“…Detecting associations between human genetic variants and their phenotypic effects is a significant problem in understanding genetic bases of human-inherited…”
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Support Vector Machines (SVMs) Autor Ahmed, Hosameldin, Nandi, Asoke K

“…Support vector machines (SVMs) are one of the most popular machine learning methods used to classify machine health conditions using the selected feature…”
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Discovering Cellular Automata Rules for Binary Classification Problem with Use of Genetic Algorithm Autor Piwonska, A., Seredynski, F., Szaban, M.

“…This paper proposes a cellular automata-based solution of a two-dimensional binary classification problem. The proposed method is based on a two-dimensional,…”
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