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Machine learning

Evidence of emotion-antecedent appraisal checks in electroencephalography and facial electromyography

Eduardo Coutinho, Kornelia Gentsch, [ ... ], Björn W. Schuller

Crop loss identification at field parcel scale using satellite remote sensing and machine learning

Santosh Hiremath, Samantha Wittke, [ ... ], Hiroshi Mamitsuka

Rigid geometry solves “curse of dimensionality” effects in clustering methods: An application to omics data

Shun Adachi

Combining signal and sequence to detect RNA polymerase initiation in ATAC-seq data

Ignacio J. Tripodi, Murad Chowdhury, Margaret Gruca, Robin D. Dowell

A method for rapid machine learning development for data mining with doctor-in-the-loop

Neva J. Bull, Bridget Honan, Neil J. Spratt, Simon Quilty

Trend-following with better adaptation to large downside risks

Teruko Takada, Takahiro Kitajima

Machine learning and statistics to qualify environments through multi-traits in Coffea arabica

Weverton Gomes da Costa, Ivan de Paiva Barbosa, [ ... ], Antonio Carlos Baião de Oliveira

Assessing risk of fibrosis progression and liver-related clinical outcomes among patients with both early stage and advanced chronic hepatitis C

Monica A. Konerman, Dongxia Lu, [ ... ], Akbar K. Waljee

Turing complete neural computation based on synaptic plasticity

Jérémie Cabessa

Poincaré plot analysis of cerebral blood flow signals: Feature extraction and classification methods for apnea detection

Carmen González, Erik W. Jensen, Pedro L. Gambús, Montserrat Vallverdú

Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis

Caroline L. Alves, Tiago Martinelli, [ ... ], Michael Moeckel

Random survival forest model for early prediction of Alzheimer’s disease conversion in early and late Mild cognitive impairment stages

Amna Saeed, Asim Waris, [ ... ], for The Alzheimer’s Disease Neuroimaging Initiative

Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset

Jaakko Sahlsten, Jorma Järnstedt, [ ... ], Kimmo Kaski

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