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EEG-Based Eye Movement Recognition Using Brain–Computer Interface and Random Forests
Antoniou, Evangelos, Bozios, Pavlos, Christou, Vasileios, Tzimourta, Katerina D., Kalafatakis, Konstantinos, G. Tsipouras, Markos, Giannakeas, Nikolaos, Tzallas, Alexandros T.
Published in Sensors (Basel, Switzerland) (27.03.2021)
Published in Sensors (Basel, Switzerland) (27.03.2021)
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Validating the Usefulness of the “Random Forests” Classifier to Diagnose Early Glaucoma With Optical Coherence Tomography
Asaoka, Ryo, Hirasawa, Kazunori, Iwase, Aiko, Fujino, Yuri, Murata, Hiroshi, Shoji, Nobuyuki, Araie, Makoto
Published in American journal of ophthalmology (01.02.2017)
Published in American journal of ophthalmology (01.02.2017)
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Detecting knee osteoarthritis and its discriminating parameters using random forests
Kotti, Margarita, Duffell, Lynsey D., Faisal, Aldo A., McGregor, Alison H.
Published in Medical engineering & physics (01.05.2017)
Published in Medical engineering & physics (01.05.2017)
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Automated segmentation of dental CBCT image with prior‐guided sequential random forests
Wang, Li, Gao, Yaozong, Shi, Feng, Li, Gang, Chen, Ken‐Chung, Tang, Zhen, Xia, James J., Shen, Dinggang
Published in Medical physics (Lancaster) (01.01.2016)
Published in Medical physics (Lancaster) (01.01.2016)
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Conditional canonical correlation estimation based on covariates with random forests
Alakuş, Cansu, Larocque, Denis, Jacquemont, Sébastien, Barlaam, Fanny, Martin, Charles-Olivier, Agbogba, Kristian, Lippé, Sarah, Labbe, Aurélie
Published in Bioinformatics (Oxford, England) (09.09.2021)
Published in Bioinformatics (Oxford, England) (09.09.2021)
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Baroreflex sensitivity with different lags and random forests for staging cardiovascular autonomic neuropathy in subjects with diabetes
Petry, Daiana, Mirian de Godoy Marques, Claudia, Brum Marques, Jefferson Luiz
Published in Computers in biology and medicine (01.12.2020)
Published in Computers in biology and medicine (01.12.2020)
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Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests
Yier Lin, Le Kernec, Julien, Shufan Yang, Fioranelli, Francesco, Romain, Olivier, Zhiqin Zhao
Published in IEEE sensors journal (01.12.2018)
Published in IEEE sensors journal (01.12.2018)
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Graph-based image gradients aggregated with random forests
Almeida, Raquel, Kijak, Ewa, Malinowski, Simon, Patrocínio Jr, Zenilton K.G., Araújo, Arnaldo A., Guimarães, Silvio J.F.
Published in Pattern recognition letters (01.02.2023)
Published in Pattern recognition letters (01.02.2023)
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Automatic renal segmentation for MR urography using 3D‐GrabCut and random forests
Yoruk, Umit, Hargreaves, Brian A., Vasanawala, Shreyas S.
Published in Magnetic resonance in medicine (01.03.2018)
Published in Magnetic resonance in medicine (01.03.2018)
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Identifying patients with paroxysmal atrial fibrillation from sinus rhythm ECG using random forests
Myrovali, Evangelia, Hristu-Varsakelis, Dimitrios, Tachmatzidis, Dimitrios, Antoniadis, Antonios, Vassilikos, Vassilios
Published in Expert systems with applications (01.03.2023)
Published in Expert systems with applications (01.03.2023)
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Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
Ramírez, J., Górriz, J.M., Ortiz, A., Martínez-Murcia, F.J., Segovia, F., Salas-Gonzalez, D., Castillo-Barnes, D., Illán, I.A., Puntonet, C.G.
Published in Journal of neuroscience methods (15.05.2018)
Published in Journal of neuroscience methods (15.05.2018)
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