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Linear discriminant analysis

Sex classification using the human sacrum: Geometric morphometrics versus conventional approaches

Viktoria A. Krenn, Nicole M. Webb, Cinzia Fornai, Martin Haeusler

Entropy-based discrimination between translated Chinese and original Chinese using data mining techniques

Kanglong Liu, Rongguang Ye, Liu Zhongzhu, Rongye Ye

Applying machine learning to explore the association between biological stress and near misses in emergency medicine residents

Sonnet Xu, Judith E. Arnetz, Bengt B. Arnetz

Song type variations of Louisiana Waterthrush (Parkesia motacilla) and their geographic distributions

W. Ross Silcock, Shari L. Schwartz, John U. Carlini, Stephen J. Dinsmore

Undersampling bankruptcy prediction: Taiwan bankruptcy data

Haoming Wang, Xiangdong Liu

Gut microbiota profiles of young South Indian children: Child sex-specific relations with growth

Nirupama Shivakumar, Ambily Sivadas, [ ... ], Arpita Mukhopadhyay

Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio

Isuru Jayarathne, Michael Cohen, Senaka Amarakeerthi

Iterative taxonomic study of Pareiorhaphis hystrix (Siluriformes, Loricariidae) suggests a single, yet phenotypically variable, species in south Brazil

Patrícia C. Fagundes, Edson H. L. Pereira, Roberto E. Reis

Learning machine approach reveals microbial signatures of diet and sex in dog

Elisa Scarsella, Bruno Stefanon, [ ... ], Misa Sandri

Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study

Milla Juutinen, Cassia Wang, [ ... ], Antti Vehkaoja

Raman Spectroscopy characterization extracellular vesicles from bovine placenta and peripheral blood mononuclear cells

Han Zhang, Ana Caroline Silva, [ ... ], Anhong Zhou

Learning to localize sounds in a highly reverberant environment: Machine-learning tracking of dolphin whistle-like sounds in a pool

Sean F. Woodward, Diana Reiss, Marcelo O. Magnasco

Mid-price prediction based on machine learning methods with technical and quantitative indicators

Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis

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