School of Informatics AUTh
B. Liu, K. Pliakos, C. Vens, G. Tsoumakas. (2020) Local Imbalance based Ensemble for Predicting Interactions between Novel Drugs and Targets. Machine Learning for Pharma and Healthcare Applications Workshop (PharML 2020)
B. Liu, G. Tsoumakas. Dealing with Class Imbalance in Classifier Chains via Random Undersampling. Knowledge-Based Systems 192 (2020): 105292.
B. Liu, G. Tsoumakas, (2019) Synthetic Oversampling of Multi-label Data Based on Local Label Distribution, 2019 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany.
Bin Liu, Grigorios Tsoumakas, (2019) Synthetic Oversampling of Multi-Label Data based on Local Label Distribution: Supplementary Material, ECML-PKDD
B. Liu, G. Tsoumakas, (2018) Making Classifier Chains Resilient to Class Imbalance, 10th Asian Conference on Machine Learning (ACML 2018), Beijing, China