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Amaury Lendasse

Showing results (1-10 of 8) with videos related to

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Computational and Mathematical Methods in Medicine|April 11, 2013
Data preprocessing and model design for medicine problemsAlberto Guillén, Amaury Lendasse, Guilherme Barreto
Aging|August 31, 2024
A systematic review of phenotypic and epigenetic clocks used for aging and mortality quantification in humansBrandon Warner, Edward Ratner, Anirban Datta, et al.
Frontiers in Public Health|September 27, 2021
Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment IndexRui Nian, Yijin Xu, Qiang Yuan, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Double quantization of the regressor space for long-term time series prediction: method and proof of stabilityGeoffroy Simon, Amaury Lendasse, Marie Cottrell, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 25, 2013
Long-term time series prediction using OP-ELMAlexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, et al.
IEEE Transactions on Neural Networks|December 17, 2009
OP-ELM: optimally pruned extreme learning machineYoan Miche, Antti Sorjamaa, Patrick Bas, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 4, 2018
Domain Adaption via Feature Selection on Explicit Feature MapWan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, et al.
Genes|December 21, 2018
Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine LearningMeeshanthini V Dogan, Steven R H Beach, Ronald L Simons, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computational and Mathematical Methods in Medicine|April 11, 2013
Data preprocessing and model design for medicine problemsAlberto Guillén, Amaury Lendasse, Guilherme Barreto
Aging|August 31, 2024
A systematic review of phenotypic and epigenetic clocks used for aging and mortality quantification in humansBrandon Warner, Edward Ratner, Anirban Datta, et al.
Frontiers in Public Health|September 27, 2021
Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment IndexRui Nian, Yijin Xu, Qiang Yuan, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Double quantization of the regressor space for long-term time series prediction: method and proof of stabilityGeoffroy Simon, Amaury Lendasse, Marie Cottrell, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 25, 2013
Long-term time series prediction using OP-ELMAlexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, et al.
IEEE Transactions on Neural Networks|December 17, 2009
OP-ELM: optimally pruned extreme learning machineYoan Miche, Antti Sorjamaa, Patrick Bas, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 4, 2018
Domain Adaption via Feature Selection on Explicit Feature MapWan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, et al.
Genes|December 21, 2018
Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine LearningMeeshanthini V Dogan, Steven R H Beach, Ronald L Simons, et al.
Pageof 1