박기범, generalized learning vector quantization
2018.11.28
박기범
구본혁, Classification of Imbalanced data by oversampling in kernel space of support vector machine
2018.11.29
구본혁
김현호, RNN-DBSCAN A Density based clustering Algorithm Using Reverse Nearest Neighbor Density Estimates
김현호
석슬기, Negative Correlation Learning for Classification Ensembles
2018.11.02
석슬기
박기범, rotation forest
김현호, A local-density based spatial clustering algorithm with noise
하지현, Locally linear ensemble for regression
2018.11.01
하지현
이재호, A Penalized Matrix Decomposition and its Applications
이재호
이두열, Optimal false alarm controlled SVDD for multivariate process monitoring
이두열
박연탁_20181031_KRNN
박연탁
한민석, Clustering by fast search and find of density peaks
한민석
구본혁, A weighted support vector machine for data classification
이두열, Supervised Adaptive Incremental Clustering for data stream of chunks
2018.10.19
이재호, XGBoost; A Scalable Tree Boosting System
2018.10.08
한민석, AdaBoost.RT; a boosting algorithm for regression problems
2018.10.05
