Performance improvement via bagging in probabilistic prediction of chaotic time series using similarity of attractors and LOOCV predictable horizon

Por Kurogi, Shuichi, Toidani, Mitsuki, Shigematsu, Ryosuke, Matsuo, Kazuya
Publicado no Neural Comput Appl (2017)

Feasibility study design and methods for a home-based, square-stepping exercise program among older adults with multiple sclerosis: The SSE-MS project

Por Sebastião, Emerson, McAuley, Edward, Shigematsu, Ryosuke, Motl, Robert W.
Publicado no Contemp Clin Trials Commun (2017)

HealtheBrain: an innovative smartphone application to improve cognitive function in older adults

Por Shellington, Erin M., Felfeli, Tina, Shigematsu, Ryosuke, Gill, Dawn P., Petrella, Robert J.
Publicado no Mhealth (2017)

Cognitive changes following multiple-modality exercise and mind-motor training in older adults with subjective cognitive complaints: The M4 study

Por Boa Sorte Silva, Narlon Cassio, Gill, Dawn P., Owen, Adrian M., Liu-Ambrose, Teresa, Hachinski, Vladimir, Shigematsu, Ryosuke, Petrella, Robert J.
Publicado no PLoS One (2018)

Group-based exercise and cognitive-physical training in older adults with self-reported cognitive complaints: The Multiple-Modality, Mind-Motor (M4) study protocol

Por Gregory, Michael A., Gill, Dawn P., Shellington, Erin M., Liu-Ambrose, Teresa, Shigematsu, Ryosuke, Zou, Guangyong, Shoemaker, Kevin, Owen, Adrian M., Hachinski, Vladimir, Stuckey, Melanie, Petrella, Robert J.
Publicado no BMC Geriatr (2016)