Scalable approximate FRNN-OWA classification [PDF]
, 2020 Fuzzy Rough Nearest Neighbour classification with Ordered Weighted Averaging operators (FRNN-OWA) is an algorithm that classifies unseen instances according to their membership in the fuzzy upper and lower approximations of the decision classes. Previous
Cornelis, Chris +2 more
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Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning
Scientific Reports, 2022 Chronic back pain (CBP) is heterogenous and identifying sub-groups could improve clinical decision making. Machine learning can build upon prior sub-grouping approaches by using a data-driven approach to overcome clinician subjectivity, however, only ...
Scott D. Tagliaferri +6 more
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One-class classifiers based on entropic spanning graphs [PDF]
, 2016 One-class classifiers offer valuable tools to assess the presence of outliers in data. In this paper, we propose a design methodology for one-class classifiers based on entropic spanning graphs.
Alippi, Cesare, Livi, Lorenzo
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Passively mode-locked laser using an entirely centred erbium-doped fiber [PDF]
, 2015 This paper describes the setup and experimental results for an entirely centred erbium-doped fiber laser with passively mode-locked output. The gain medium of the ring laser cavity configuration comprises a 3 m length of two-core optical fiber, wherein ...
Ahmad, H +5 more
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Localised edge‐region‐based active contour for medical image segmentation
IET Image Processing, 2021 Segmenting the region of interest (ROI) from medical images is a fundamental but challenging task due to the illumination change and imaging devices. Although many models based on the local region‐based active contour model (LR‐ACM) are proposed to deal ...
Hua‐Xiang Liu +3 more
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Entropy, 2015 The dynamics of brain area influenced by focal epilepsy can be studied using focal and non-focal electroencephalogram (EEG) signals. This paper presents a new method to detect focal and non-focal EEG signals based on an integrated index, termed the focal
Rajeev Sharma +2 more
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On Performance Analysis of a Neutrosophic Bipolar Fuzzy and Texture-Based Model for COVID-19 Detection from Chest X-Rays [PDF]
Neutrosophic Sets and SystemsThis study proposes a novel hybrid framework for rapid and accurate COVID-19 detection from chest X-ray images by integrating Neutrosophic Bipolar Fuzzy Sets (NBFS) with texture-based feature anal ysis.
S. Sanjayprabu +5 more
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An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition [PDF]
, 2010 This paper suggests an automated approach for fault detection and classification in roller bearings, which is based on pattern recognition and principal components analysis of the measured vibration signals.
Trendafilova, I.
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Unsupervised Learning with Normalised Data and Non-Euclidean Norms [PDF]
, 2007 Peer ...
Aggarwal +16 more
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M-CGH: Analysing microarray-based CGH experiments
BMC Bioinformatics, 2004 Background Microarray-based comparative genomic hybridisation (array CGH) is a technique by which variation in relative copy numbers between two genomes can be analysed by competitive hybridisation to DNA microarrays.
Meza-Zepeda Leonardo A +3 more
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