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Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability., and . CIDM, page 26-31. IEEE, (2013)Comparison of Nested Simulated Annealing and Reactive Tabu Search for Efficient Experimental Designs with Correlated Data., , and . COMPSTAT, page 249-254. Springer, (2002)The partial response SVM., , , and . ESANN, (2021)Societal Issues in Machine Learning: When Learning from Data is Not Enough., , , , , and . ESANN, (2019)Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer., , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 304-313. Springer, (2019)White box radial basis function classifiers with component selection for clinical prediction models., and . Artif. Intell. Medicine, 60 (1): 53-64 (2014)Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning., , , , , and . CEC, page 1-8. IEEE, (2018)The Coming of Age of Interpretable and Explainable Machine Learning Models., , , and . ESANN, (2021)Research directions in interpretable machine learning models., and . ESANN, (2013)Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses., , , , , and . CRoNe, volume 2564 of CEUR Workshop Proceedings, page 44-50. CEUR-WS.org, (2019)