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Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering., , , , , , , and . IEEE Access, (2017)Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment, , , , , , , , , and 19 other author(s). Frontiers in Microbiology, (2021)SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting., , , and . RSFDGrC, volume 9437 of Lecture Notes in Computer Science, page 464-474. Springer, (2015)Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms., , and . IJCNN, page 181-188. IEEE, (2011)Health-Related ICT Solutions of Smart Environments for Elderly-Systematic Review., , , , , , , and . IEEE Access, (2020)GAN-Based Image Colorization for Self-Supervised Visual Feature Learning., , , , and . Sensors, 22 (4): 1599 (2022)Challenges in data collection in real-world environments for activity recognition., , , , and . EUROCON, page 1-5. IEEE, (2019)Cluster-size optimization within a cloud-based ETL framework for Big Data., , , , and . IEEE BigData, page 3754-3763. IEEE, (2019)Explainable image analysis for decision support in medical healthcare., , , , and . IEEE BigData, page 4667-4674. IEEE, (2021)Control and Prevention of Personal Stress., , , , , and . IEEE BigData, page 3783-3785. IEEE, (2020)