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Sheryl Brahnam
Sheryl Brahnam
Other namesS Berlin Brahnam, Sheryl Branham
Professor ITC, Missouri State University
Verified email at missouristate.edu - Homepage
Title
Cited by
Cited by
Year
Local binary patterns variants as texture descriptors for medical image analysis
L Nanni, A Lumini, S Brahnam
Artificial intelligence in medicine 49 (2), 117-125, 2010
6422010
Handcrafted vs. non-handcrafted features for computer vision classification
L Nanni, S Ghidoni, S Brahnam
Pattern recognition 71, 158-172, 2017
5622017
Survey on LBP based texture descriptors for image classification
L Nanni, A Lumini, S Brahnam
Expert Systems with Applications 39 (3), 3634-3641, 2012
3622012
A gender‐based categorization for conflict resolution
SD Brahnam, TM Margavio, MA Hignite, TB Barrier, JM Chin
Journal of management development 24 (3), 197-208, 2005
2962005
Introduction to local binary patterns: new variants and applications
S Brahnam, LC Jain, A Lumini, L Nanni
Local Binary Patterns: New Variants and Applications, 1-13, 2014
1982014
Machine recognition and representation of neonatal facial displays of acute pain
S Brahnam, CF Chuang, FY Shih, MR Slack
Artificial intelligence in medicine 36 (3), 211-222, 2006
1642006
A local approach based on a local binary patterns variant texture descriptor for classifying pain states
L Nanni, S Brahnam, A Lumini
Expert Systems with Applications 37 (12), 7888-7894, 2010
1602010
Gender affordances of conversational agents
S Brahnam, A De Angeli
Interacting with Computers 24 (3), 139-153, 2012
1592012
I hate you! Disinhibition with virtual partners
A De Angeli, S Brahnam
Interacting with computers 20 (3), 302-310, 2008
1432008
Machine assessment of neonatal facial expressions of acute pain
S Brahnam, CF Chuang, RS Sexton, FY Shih
Decision Support Systems 43 (4), 1242-1254, 2007
1352007
Wavelet images and Chou’s pseudo amino acid composition for protein classification
L Nanni, S Brahnam, A Lumini
Amino Acids 43, 657-665, 2012
1332012
Ensemble of convolutional neural networks for bioimage classification
L Nanni, S Ghidoni, S Brahnam
Applied Computing and Informatics 17 (1), 19-35, 2021
1232021
Different approaches for extracting information from the co-occurrence matrix
L Nanni, S Brahnam, S Ghidoni, E Menegatti, T Barrier
PloS one 8 (12), e83554, 2013
1232013
Prediction of protein structure classes by incorporating different protein descriptors into general Chou’s pseudo amino acid composition
L Nanni, S Brahnam, A Lumini
Journal of theoretical biology 360, 109-116, 2014
1212014
An ensemble of convolutional neural networks for audio classification
L Nanni, G Maguolo, S Brahnam, M Paci
Applied Sciences 11 (13), 5796, 2021
1092021
Introduction to neonatal facial pain detection using common and advanced face classification techniques
S Brahnam, L Nanni, R Sexton
Advanced Computational Intelligence Paradigms in Healthcare–1, 225-253, 2007
1052007
Combining visual and acoustic features for audio classification tasks
L Nanni, YMG Costa, DR Lucio, CN Silla Jr, S Brahnam
Pattern Recognition Letters 88, 49-56, 2017
912017
High performing ensemble of convolutional neural networks for insect pest image detection
L Nanni, A Manfè, G Maguolo, A Lumini, S Brahnam
Ecological Informatics 67, 101515, 2022
842022
Comparison of different image data augmentation approaches
L Nanni, M Paci, S Brahnam, A Lumini
Journal of imaging 7 (12), 254, 2021
802021
A classifier ensemble approach for the missing feature problem
L Nanni, A Lumini, S Brahnam
Artificial intelligence in medicine 55 (1), 37-50, 2012
792012
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