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Multi-objective Genetic Algorithm for Variable Selection in Multivariate Classification Problems: A Case Study in Verification of Biodiesel Adulteration.

, , , , , , , , and . ICCS, volume 51 of Procedia Computer Science, page 346-355. Elsevier, (2015)

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Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem., , , , , and . Int. J. Nat. Comput. Res., 4 (1): 31-42 (2014)Quality Control Based on Species Classification of Herbal Medicines Using Hyperspectral Imaging and Machine Learning., , , and . WHISPERS, page 1-5. IEEE, (2023)Variable selection as a non-completely decomposable problem: a case study in multivariate calibration., , , and . GECCO (Companion), page 1399-1402. ACM, (2017)Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine Learning., , , , and . ICIP, page 2870-2874. IEEE, (2023)Hybrid Genetic-Fuzzy Algorithm for Variable Selection in Spectroscopy., , , , and . ICAISC (2), volume 7895 of Lecture Notes in Computer Science, page 24-35. Springer, (2013)Turbine Hill Chart Generation Using Artificial Neural Network., , , and . Advances in Intelligent Systems Research and Innovation, volume 379 of Studies in Systems, Decision and Control, Springer, (2022)Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms., , , , and . Pattern Recognit. Lett., 27 (5): 393-407 (2006)A Linear Semi-infinite Programming Strategy for Constructing Optimal Wavelet Transforms in Multivariate Calibration Problems., , , , and . Journal of Chemical Information and Computer Sciences, 43 (3): 928-933 (2003)Generation of Two Turbine Hill Chart Using Artificial Neural Networks., , , and . IEEE Conf. on Intelligent Systems, page 457-462. IEEE, (2020)Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover., , , and . GECCO (Companion), page 1461-1462. ACM, (2016)