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Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables., , , , и . Health Informatics J., 24 (1): 54-65 (2018)Maximizing pattern separation in discretizing continuous features for classification purposes., и . IJCNN, стр. 1-8. IEEE, (2010)Switching Neural Network: An application to Regression Problems., и . WIRN, том 226 из Frontiers in Artificial Intelligence and Applications, стр. 14-21. IOS Press, (2010)A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution Networks., , , и . SYSINT, том 546 из Lecture Notes in Networks and Systems, стр. 33-42. Springer, (2022)Differential diagnosis of pleural mesothelioma using Logic Learning Machine., , , , , , , , , и . BMC Bioinform., 16 (S-9): S3 (2015)A 5G-IoT enabled Big Data infrastructure for data-driven agronomy., , , , , , , , и . GLOBECOM (Workshops), стр. 588-594. IEEE, (2022)Accellerating PRISM Validation of Vehicle Platooning Through Machine Learning., , , и . ICSRS, стр. 452-456. IEEE, (2019)Identification of safety regions in vehicle platooning via machine learning., , , и . WFCS, стр. 1-4. IEEE, (2018)A Constructive Technique Based on Linear Programming for Training Switching Neural Networks., и . ICANN (2), том 5164 из Lecture Notes in Computer Science, стр. 744-753. Springer, (2008)Feature-based Characterisation of Patient-specific 3D Anatomical Models., , , , , и . STAG, стр. 41-50. Eurographics Association, (2019)