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Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface., , and . J. Intell. Fuzzy Syst., 33 (5): 3103-3111 (2017)Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms., , , and . Appl. Soft Comput., (2018)An unsupervised technique to discretize numerical values by fuzzy partitions., , , and . J. Ambient Intell. Smart Environ., 10 (3): 289-300 (2018)Early-stage atherosclerosis detection using deep learning over carotid ultrasound images., , and . Appl. Soft Comput., (2016)METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking., , , , , and . Bioinform., 37 (11): 1515-1520 (2021)Evaluation of low-power devices for smart greenhouse development., , , , , and . J. Supercomput., 79 (9): 10277-10299 (June 2023)An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture., , , , , and . Intelligent Environments (Workshops), volume 26 of Ambient Intelligence and Smart Environments, page 130-138. IOS Press, (2019)Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23)., , , and . Intelligent Environments (Workshops), volume 32 of Ambient Intelligence and Smart Environments, page 47-48. IOS Press, (2023)Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery., , and . IWINAC (1), volume 9107 of Lecture Notes in Computer Science, page 358-367. Springer, (2015)When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey., , , , , , , , and . CoRR, (2020)