Pattern-Based Recognition Systems: Overcoming the Problem of Mixtures.
Sign Up to like & getrecommendations! Published in 2020 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.0c04062
Abstract: The transformative potential of pattern-based sensing techniques is often hampered by their difficulty in dealing with mixtures of analytes, a drawback that severely limits the applications of this sensing approach (the "problem of mixtures"). We… read more here.
Keywords: pattern based; based recognition; systems overcoming; recognition systems ... See more keywords
Depth-Based Recognition of Shape Outlying Functions
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2017.1336445
Abstract: ABSTRACT A major drawback of many established depth functionals is their ineffectiveness in identifying functions outlying merely in shape. Herein, a simple modification of functional depth is proposed to provide a remedy for this difficulty.… read more here.
Keywords: depth based; shape outlying; outlying functions; based recognition ... See more keywords
A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recognition
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2955447
Abstract: Electroencephalogram (EEG), obtained by wearable devices, can realize effective human health monitoring. Traditional methods based on artificially designed features have achieved valid results in EEG-based recognition, and numerous studies start to apply deep learning techniques… read more here.
Keywords: based recognition; eeg based; cnns; coincidence filtering ... See more keywords
Deep Learning-Based Recognition of Cervical Squamous Interepithelial Lesions
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DOI: 10.3390/diagnostics13101720
Abstract: Cervical squamous intraepithelial lesions (SILs) are precursor lesions of cervical cancer, and their accurate diagnosis enables patients to be treated before malignancy manifests. However, the identification of SILs is usually laborious and has low diagnostic… read more here.
Keywords: recognition cervical; based recognition; deep learning; cervical squamous ... See more keywords