Clustering-Based EMT Model for Predicting Student Performance
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-04578-4
Abstract: Predicting students’ performance has emerged as an attractive task among researchers. They use supervised and unsupervised educational data mining (EDM) techniques to build an understandable and effective model. This helps decision makers enhance the performance… read more here.
Keywords: based emt; clustering based; relevant features; model ... See more keywords
Determining Relevant Features in Activity Recognition Via Wearable Sensors on the MYO Armband
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-04628-x
Abstract: The applications of wearable sensors in daily life are increasing day by day. The wearable sensor technologies provide a wide range of knowledge that can be utilized by human gesture/action systems. Although the electromyography (EMG)… read more here.
Keywords: wearable sensors; relevant features; recognition; determining relevant ... See more keywords
IMG-19. RADIOMICS AND SUPERVISED DEEP LEARNING TO PREDICT MOLECULAR SUBGROUPS IN MEDULLOBLASTOMA BASED ON WHOLE TUMOR VOLUME LABELING: A SINGLE CENTER MULTIPARAMETRIC MR ANALYSIS
Sign Up to like & getrecommendations! Published in 2020 at "Neuro-Oncology"
DOI: 10.1093/neuonc/noaa222.354
Abstract: Abstract PURPOSE Medulloblastoma (MB) is a complex pathology. Four molecular subgroups have been unveiled (Wingless-WNT, Sonic Hedgehog-SHH, Group 3-G3 and Group 4-G4), characterized by significant differences in patient clinical outcome. We investigated the utility of… read more here.
Keywords: molecular subgroups; volume; analysis; relevant features ... See more keywords
Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features From Multiblock Data.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3155875
Abstract: One of the important issues associated with real-life high-dimensional data analysis is how to extract significant and relevant features from multiview data. The multiset canonical correlation analysis (MCCA) is a well-known statistical method for multiview… read more here.
Keywords: relevant features; correlation analysis; canonical correlation; extraction ... See more keywords
Learning Output Relevant Features by Joint Autoencoder.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3185588
Abstract: Classical regression is a supervised task that uses target output to guide the modeling. Generally, the original input contains both output relevant and irrelevant information, whereas the latter may decrease the predictive performance to a… read more here.
Keywords: predictive performance; output; joint autoencoder; output relevant ... See more keywords
Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3169998
Abstract: A fundamental challenge in learning is the presence of nonlinear redundancies and dependencies in the data. To address this, we propose a Fourier-based approach to characterize feature redundancies, in unsupervised learning, and feature-label dependencies, in… read more here.
Keywords: fourier based; sufficiently informative; fourier; feature ... See more keywords
Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2488-4
Abstract: BackgroundParkinson’s Disease (PD) is a chronic neurodegenerative disease associated with motor problems such as gait impairment. Different systems based on 3D cameras, accelerometers or gyroscopes have been used in related works in order to study… read more here.
Keywords: gait impairment; disease; relevant features; gait ... See more keywords
Effects of Linguistic Labels on Visual Attention in Children and Young Adults
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2018.00358
Abstract: Effects of linguistic labels on learning outcomes are well-established; however, developmental research examining possible mechanisms underlying these effects have provided mixed results. We used a novel paradigm where 8-year-olds and adults were simultaneously trained on… read more here.
Keywords: effects linguistic; linguistic labels; relevant features; attention ... See more keywords
An Ensemble Feature Selection Approach to Identify Relevant Features from EEG Signals
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11156983
Abstract: Identifying relevant data to support the automatic analysis of electroencephalograms (EEG) has become a challenge. Although there are many proposals to support the diagnosis of neurological pathologies, the current challenge is to improve the reliability… read more here.
Keywords: feature selection; ensemble feature; selection; relevant features ... See more keywords
Relevant Features of Polypharmacologic Human-Target Antimicrobials Discovered by Machine-Learning Techniques
Sign Up to like & getrecommendations! Published in 2020 at "Pharmaceuticals"
DOI: 10.3390/ph13090204
Abstract: Polypharmacologic human-targeted antimicrobials (polyHAM) are potentially useful in the treatment of complex human diseases where the microbiome is important (e.g., diabetes, hypertension). We previously reported a machine-learning approach to identify polyHAM from FDA-approved human targeted… read more here.
Keywords: machine; machine learning; features polypharmacologic; relevant features ... See more keywords