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Machine learning algorithms

A shallow convolutional neural network for blind image sharpness assessment

Shaode Yu, Shibin Wu, Lei Wang, Fan Jiang, Yaoqin Xie, Leida Li

published 01 May 2017

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Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

Raymond Salvador, Joaquim Radua, Erick J. Canales-Rodríguez, Aleix Solanes, Salvador Sarró, José M. Goikolea, Alicia Valiente, Gemma C. Monté, María del Carmen Natividad, Amalia Guerrero-Pedraza, Noemí Moro, Paloma Fernández-Corcuera, Benedikt L. Amann, Teresa Maristany, Eduard Vieta, Peter J. McKenna, Edith Pomarol-Clotet

published 20 Apr 2017

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Electricity forecasting on the individual household level enhanced based on activity patterns

Krzysztof Gajowniczek, Tomasz Ząbkowski

published 19 Apr 2017

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Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans

published 13 Apr 2017

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Predicting functional decline and survival in amyotrophic lateral sclerosis

Mei-Lyn Ong, Pei Fang Tan, Joanna D. Holbrook

published 13 Apr 2017

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Use of a machine learning framework to predict substance use disorder treatment success

Laura Acion, Diana Kelmansky, Mark van der Laan, Ethan Sahker, DeShauna Jones, Stephan Arndt

published 10 Apr 2017

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Driver behavior profiling: An investigation with different smartphone sensors and machine learning

Jair Ferreira Júnior, Eduardo Carvalho, Bruno V. Ferreira, Cleidson de Souza, Yoshihiko Suhara, Alex Pentland, Gustavo Pessin

published 10 Apr 2017

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The influence of the negative-positive ratio and screening database size on the performance of machine learning-based virtual screening

Rafał Kurczab, Andrzej J. Bojarski

published 06 Apr 2017

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A study of the transferability of influenza case detection systems between two large healthcare systems

Ye Ye, Michael M. Wagner, Gregory F. Cooper, Jeffrey P. Ferraro, Howard Su, Per H. Gesteland, Peter J. Haug, Nicholas E. Millett, John M. Aronis, Andrew J. Nowalk, Victor M. Ruiz, Arturo López Pineda, Lingyun Shi, Rudy Van Bree, Thomas Ginter, Fuchiang Tsui

published 05 Apr 2017

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Exploration of machine learning techniques in predicting multiple sclerosis disease course

Yijun Zhao, Brian C. Healy, Dalia Rotstein, Charles R. G. Guttmann, Rohit Bakshi, Howard L. Weiner, Carla E. Brodley, Tanuja Chitnis

published 05 Apr 2017

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Relevance popularity: A term event model based feature selection scheme for text classification

Guozhong Feng, Baiguo An, Fengqin Yang, Han Wang, Libiao Zhang

published 05 Apr 2017

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Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Stephen F. Weng, Jenna Reps, Joe Kai, Jonathan M. Garibaldi, Nadeem Qureshi

published 04 Apr 2017

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An improved chaotic fruit fly optimization based on a mutation strategy for simultaneous feature selection and parameter optimization for SVM and its applications

Fei Ye, Xin Yuan Lou, Lin Fu Sun

published 03 Apr 2017

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