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   Articles with "feature set" as a keyword



Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.

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recommendations! Published in 2017 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-6613-4_17

Abstract: This chapter introduces a new method for knowledge extraction from databases for the purpose of finding a discriminative set of features that is also a robust set for within-class classification. Our method is generic and… read more here.

Keywords: feature; breast cancer; optimal feature; feature set ... See more keywords

Multiple feature set with feature selection for anomaly search in videos using hybrid classification

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recommendations! Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6348-z

Abstract: An examination of abnormal activities in video scenes is a very difficult task in computer vision community. An efficient anomaly detection technique to detect anomalies in crowded scenes is presented in this paper. It uses… read more here.

Keywords: feature selection; feature; multiple feature; feature set ... See more keywords

Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.

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recommendations! Published in 2018 at "American journal of ophthalmology"

DOI: 10.1016/j.ajo.2018.07.005

Abstract: PURPOSE To test the hypothesis that contact lens sensor (CLS)-based 24-hour profiles of ocular volume changes contain information complementary to intraocular pressure (IOP) to discriminate between primary open-angle glaucoma (POAG) and healthy (H) eyes. DESIGN… read more here.

Keywords: poag; cls parameters; cls; feature set ... See more keywords
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A study on the effect of psychophysiological signal features on classification methods

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recommendations! Published in 2017 at "Measurement"

DOI: 10.1016/j.measurement.2017.01.019

Abstract: Abstract The most important factor affecting the performance of a BCI (Brain Computer Interface) systems, is classification feature set. Choosing the right features to increase the success of classification is the key point. In BCI… read more here.

Keywords: classification; signal features; psychophysiological signal; effect psychophysiological ... See more keywords

A GAN-based anomaly detector using multi-feature fusion and selection

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-52378-9

Abstract: In numerous applications, abnormal samples are hard to collect, limiting the use of well-established supervised learning methods. GAN-based models which trained in an unsupervised and single feature set manner have been proposed by simultaneously considering… read more here.

Keywords: feature set; multi feature; wave ganomaly; gan based ... See more keywords

Combined LC-MS/MS feature grouping, statistical prioritization, and interactive networking in msFeaST

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recommendations! Published in 2024 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btae584

Abstract: Abstract Summary Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping,… read more here.

Keywords: feature set; set testing; prioritization; untargeted metabolomics ... See more keywords

Ultra-Short-Term Building Cooling Load Prediction Model Based on Feature Set Construction and Ensemble Machine Learning

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3027061

Abstract: As the requirements for the optimal control of building systems increase, the accuracy and speed of load predictions should also increase. However, the accuracy of load predictions is related to not only the prediction algorithm,… read more here.

Keywords: feature; set construction; model; feature set ... See more keywords

Explainable Recommendation via Personalized Features on Dynamic Preference Interactions

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3219076

Abstract: An Explainable Recommendation system has become more prominent because it could convince the user to trust the prediction. However, the existing Explainable Recommendation systems face one of these two limitations. The first limitation is the… read more here.

Keywords: interaction; recommendation; feature set; explainable recommendation ... See more keywords

Feature Set to sEMG Classification Obtained With Fisher Score

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3353044

Abstract: The best way to represent EMG signals for classification is a topic that has been widely studied due to the need to improve precision when identifying the type of movement being performed. However, by increasing… read more here.

Keywords: classification; feature set; set semg; semg classification ... See more keywords

Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2023.3344700

Abstract: This study addresses two critical aspects of gesture classification: data acquisition and feature extraction. It introduces an efficient surface electromyogram (sEMG) acquisition band with seven active electrodes and conducts experiments with eight healthy subjects for… read more here.

Keywords: classification; feature set; gesture classification; feature extraction ... See more keywords

Wearable EEG-Based Depth of Anesthesia Monitoring: A Nonparametric Feature Set

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3390604

Abstract: Objectives: Commercial systems for monitoring the depth of anesthesia (DoA) are often financially inaccessible to developing countries. As an alternative, a wearable single frontal electroencephalogram (EEG) device can be utilized. Nonetheless, most studies addressing DoA… read more here.

Keywords: feature set; depth anesthesia; doa monitoring; feature ... See more keywords