The Classification Performance of a Three-Product Cyclone
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5425-y
Abstract: Conventional (two products) cyclone have been widely used for classification in most mineral plants. But it is hard to satisfy the requirements of some productions by changing the parameter, such as cylindrical length and cone… read more here.
Keywords: three product; cyclone; classification performance; product cyclone ... See more keywords
Effect of excitation parameters on motion characteristics and classification performance of rigid-flexible coupled elastic screen surface for moist coal
Sign Up to like & getrecommendations! Published in 2020 at "Advanced Powder Technology"
DOI: 10.1016/j.apt.2019.12.029
Abstract: Abstract Elastic screen surfaces are widely used for classification of moist steam coal. In this study, a novel rigid-flexible coupled elastic screen surface was proposed, and its motion characteristics were investigated. Furthermore, the effect of… read more here.
Keywords: screen; elastic screen; classification performance; screen surface ... See more keywords
Multivariate comparison of classification performance measures
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2017.12.004
Abstract: Abstract The assessment of the classification performance can be based on class indices, such as sensitivity, specificity and precision, which describe the classification results achieved on each modelled class. However, in several situations, it is… read more here.
Keywords: classification; comparison classification; performance measures; multivariate comparison ... See more keywords
Evaluating classification performance: Receiver operating characteristic and expected utility.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000515.supp
Abstract: One primary advantage of receiver operating characteristic (ROC) analysis is considered to be its ability to quantify classification performance independently of factors such as prior probabilities and utilities of classification outcomes. This article argues the… read more here.
Keywords: utility; expected utility; classification performance; receiver operating ... See more keywords
Multi–class Classification Performance Curve
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3186444
Abstract: Quality of predictive models is a critical factor. Many evaluation measures have been proposed for binary and multi–class datasets. However, less attention has been paid to graphical representation of the classification performance, where the ROC… read more here.
Keywords: curve; multi class; classification performance;
Applying Combined Action Observation and Motor Imagery to Enhance Classification Performance in a Brain–Computer Interface System for Stroke Patients
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190798
Abstract: Motor imagery (MI) and action observation (AO) are mental practices commonly applied in brain–computer interface (BCI) systems for stroke rehabilitation. However, previous studies have reported that combined AO and MI (AOMI) is more effective than… read more here.
Keywords: classification; stroke patients; classification performance; motor imagery ... See more keywords
Budget-based classification of Parkinson's disease from resting state EEG.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3235040
Abstract: Early detection is vital for future neuroprotective treatments of Parkinson's disease (PD). Resting state electroencephalographic (EEG) recording has shown potential as a cost-effective means to aid in detection of neurological disorders such as PD. In… read more here.
Keywords: classification performance; classification; parkinson disease; disease resting ... See more keywords
Constructing a Virtual Space for Enhancing the Classification Performance of Fuzzy Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2018.2889020
Abstract: Clustering offers a general methodology and comes with a remarkably rich conceptual and algorithmic framework for data analysis and data interpretation. As one of the most representative algorithms of fuzzy clustering, fuzzy C-means (FCM) is… read more here.
Keywords: fuzzy clustering; matrix; classification performance; virtual space ... See more keywords
A Unified Framework for Comparing the Classification Performance Between Quad-, Compact-, and Dual-Polarimetric SARs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3067314
Abstract: Polarimetric synthetic aperture radar (SAR) has been extensively used in various remote sensing applications. In this article, a unified framework is designed to compare the classification performance of different polarimetric systems, which include quad-polarimetric (QP),… read more here.
Keywords: performance; classification performance; unified framework; dual polarimetric ... See more keywords
Formal definition of the MARS method for quantifying the unique target class discoveries of selected machine classifiers.
Sign Up to like & getrecommendations! Published in 2022 at "F1000Research"
DOI: 10.12688/f1000research.110567.2
Abstract: Conventional binary classification performance metrics evaluate either general measures (accuracy, F score) or specific aspects (precision, recall) of a model's classifying ability. As such, these metrics, derived from the model's confusion matrix, provide crucial insight… read more here.
Keywords: classification performance; formal definition; performance metrics; mars method ... See more keywords
The Pragmatic Classification of Upper Extremity Motion in Neurological Patients: A Primer
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2019.00996
Abstract: Recent advances in wearable sensor technology and machine learning (ML) have allowed for the seamless and objective study of human motion in clinical applications, including Parkinson's disease, and stroke. Using ML to identify salient patterns… read more here.
Keywords: motion; classification; classification performance; approach ... See more keywords