Designing multi-label classifiers that maximize F measures: State of the art
Multi-label classification problems usually occur in tasks related to information retrieval, like
text and image annotation, and are receiving increasing attention from the machine learning …
text and image annotation, and are receiving increasing attention from the machine learning …
[PDF][PDF] A comprehensive survey on human skin detection
MR Mahmoodi, SM Sayedi - … Journal of Image, Graphics and Signal …, 2016 - mecs-press.org
Human Skin detection is one of the most widely used algorithms in vision literature which
has been numerously exploited both directly and indirectly in multifarious applications. This …
has been numerously exploited both directly and indirectly in multifarious applications. This …
Image pattern recognition in big data: taxonomy and open challenges: survey
Image pattern recognition in the field of big data has gained increasing importance and
attention from researchers and practitioners in many domains of science and technology …
attention from researchers and practitioners in many domains of science and technology …
Pattern recognition in Latin America in the “Big Data” era
A Fernández, Á Gómez, F Lecumberry, Á Pardo… - Pattern Recognition, 2015 - Elsevier
Abstract The “Big Data” era has arisen, driven by the increasing availability of data from
multiple sources such as social media, online transactions, network sensors or mobile …
multiple sources such as social media, online transactions, network sensors or mobile …
Decision forests for machine learning classification of large, noisy seafloor feature sets
Extremely randomized trees (ET) classifiers, an extension of random forests (RF) are applied
to classification of features such as seamounts derived from bathymetry data. This data is …
to classification of features such as seamounts derived from bathymetry data. This data is …
A complete system for candidate polyps detection in virtual colonoscopy
We present a computer-aided detection pipeline for polyp detection in Computer
tomographic colonography. The first stage of the pipeline consists of a simple colon …
tomographic colonography. The first stage of the pipeline consists of a simple colon …
Rapid authentication of Cuscutae Semen with imbalanced sample categories using a handheld near infrared spectrometer
X Peng, X Yu, J Lin, X Liu, Z Jiang… - Journal of Near …, 2025 - journals.sagepub.com
Chinese herbal medicines, primarily derived from plants and natural sources, are widely
incorporated into the formulation of health foods and dietary supplements. Ensuring their …
incorporated into the formulation of health foods and dietary supplements. Ensuring their …
Modelo predictivo multivariable en tiempo real para predecir el desempeño de los estudiantes, en programas virtuales de posgrado, empleando inteligencia artificial
J Rincón, M Vila - American Journal of Distance Education, 2021 - Taylor & Francis
En los últimos años han proliferado los programas de educación virtual en posgrado, con
altas tasas de deserción, implicando múltiples falencias, como la falta de individualización …
altas tasas de deserción, implicando múltiples falencias, como la falta de individualización …
Ensemble learning method for classification: Integrating data envelopment analysis with machine learning
Q An, S Huang, Y Han, Y Zhu - Computers & Operations Research, 2024 - Elsevier
In classification tasks with large sample sets, the use of a single classifier carries the risk of
overfitting. To overcome this issue, an ensemble of classifier models has often been shown …
overfitting. To overcome this issue, an ensemble of classifier models has often been shown …
A new support vector machine with an optimal additive kernel
J Baek, E Kim - Neurocomputing, 2019 - Elsevier
Although the kernel support vector machine (SVM) outperforms linear SVM, its application to
real world problems is limited because the evaluation of its decision function is …
real world problems is limited because the evaluation of its decision function is …