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   Articles with "classification accuracy" as a keyword



A protocol for automated timber species identification using metabolome profiling

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recommendations! Published in 2019 at "Wood Science and Technology"

DOI: 10.1007/s00226-019-01111-1

Abstract: Using chemical fingerprints for timber species identification is a relatively new, but promising technique. However, little is known about the effect of pre-processing spectral data parameter settings on the timber species classification accuracy. Therefore, this… read more here.

Keywords: timber species; species identification; classification accuracy; parameter ... See more keywords

Entropy with Local Binary Patterns for Efficient Iris Liveness Detection

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recommendations! Published in 2018 at "Wireless Personal Communications"

DOI: 10.1007/s11277-017-5089-z

Abstract: Iris anti-spoofing is one of the most important topics, in which the development is increasing rapidly. This paper introduces an efficient system for detecting iris attacks. The system avoids the segmentation and the normalization stages… read more here.

Keywords: local binary; system; detection; classification accuracy ... See more keywords

Developing Transformed Fuzzy Neural Networks to Enhance Medical Data Classification Accuracy

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recommendations! Published in 2018 at "International Journal of Fuzzy Systems"

DOI: 10.1007/s40815-018-0503-6

Abstract: Abstract Developing an automatic model to precisely and quickly classify medical data is a challenging work due to lack of medical knowledge. This paper presented a transformed fuzzy neural network (TFNN) to enhance medical data… read more here.

Keywords: classification; classification accuracy; data classification; transformed fuzzy ... See more keywords

Classifying running speed conditions using a single wearable sensor: Optimal segmentation and feature extraction methods.

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recommendations! Published in 2018 at "Journal of biomechanics"

DOI: 10.1016/j.jbiomech.2018.01.034

Abstract: Accelerometers have been used to classify running patterns, but classification accuracy and computational load depends on signal segmentation and feature extraction. Stride-based segmentation relies on identifying gait events, a step avoided by using window-based segmentation.… read more here.

Keywords: computational load; feature; segmentation; classification accuracy ... See more keywords

Laser desorption tissue imaging with Differential Mobility Spectrometry.

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recommendations! Published in 2022 at "Experimental and molecular pathology"

DOI: 10.1016/j.yexmp.2022.104759

Abstract: Pathological gross examination of breast carcinoma samples is sometimes laborious. A tissue pre-mapping method could indicate neoplastic areas to the pathologist and enable focused sampling. Differential Mobility Spectrometry (DMS) is a rapid and affordable technology… read more here.

Keywords: breast; mobility spectrometry; tissue; differential mobility ... See more keywords

Critical item (CR) analysis expands the classification accuracy of performance validity tests based on the forced choice paradigm-Replicating previously introduced CR cutoffs within the Word Choice Test.

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recommendations! Published in 2022 at "Neuropsychology"

DOI: 10.1037/neu0000834.supp

Abstract: OBJECTIVE This study was designed to replicate previous research on critical item analysis within the Word Choice Test (WCT). METHOD Archival data were collected from a mixed clinical sample of 119 consecutively referred adults (Mage… read more here.

Keywords: critical item; item analysis; choice; item ... See more keywords

Scoring algorithms for a computer-based cognitive screening tool: An illustrative example of overfitting machine learning approaches and the impact on estimates of classification accuracy.

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recommendations! Published in 2019 at "Psychological assessment"

DOI: 10.1037/pas0000764

Abstract: Computerized cognitive screening tools, such as the self-administered Computerized Assessment of Memory Cognitive Impairment (CAMCI), require little training and ensure standardized administration and could be an ideal test for primary care settings. We conducted a… read more here.

Keywords: machine learning; cross validation; accuracy; classification accuracy ... See more keywords

Neural signatures to emotion-related word stimuli may vary

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recommendations! Published in 2018 at "Nature Human Behaviour"

DOI: 10.1038/s41562-018-0350-3

Abstract: To the Editor — A recent study by Just et al.1 used a Gaussian Naïve Bayes classifier cross-validated with a leave-one-out procedure to correctly classify participants as healthy controls or suicidal ideators with 91% accuracy… read more here.

Keywords: suicidal ideators; classification accuracy; accuracy; neural signatures ... See more keywords

Using Process Data to Improve Classification Accuracy of Cognitive Diagnosis Model.

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recommendations! Published in 2023 at "Multivariate behavioral research"

DOI: 10.1080/00273171.2022.2157788

Abstract: With the advance of computer-based assessments, many process data, such as response times (RTs), action sequences, Eye-tracking data, the log data for collaborative problem-solving (CPS) and mouse click/drag becomes readily available. Findings from previous studies… read more here.

Keywords: model; classification accuracy; process; process data ... See more keywords
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Improved Classification Accuracy for Diagnosing the Early Stage of Parkinson’s Disease Using Alpha Stable Distribution

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recommendations! Published in 2021 at "Iete Journal of Research"

DOI: 10.1080/03772063.2021.1910580

Abstract: Early diagnosis of the neurodegenerative disorder Parkinson’s disease (PD) and Scan without Evidence of Dopaminergic Deficit (SWEDD) is essential for effective patient management in neurodisorders,... read more here.

Keywords: parkinson; classification accuracy; improved classification; parkinson disease ... See more keywords

Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy

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recommendations! Published in 2025 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2025.2498601

Abstract: ABSTRACT Improving tree species classification accuracy often involves complex workflows, constrained by high computational costs, extensive data requirements, and sensitivity to spatiotemporal variations. This study introduces the Change Resistance Filter (CR-Filter), inspired by the stable… read more here.

Keywords: classification accuracy; post processing; tree species; species classification ... See more keywords