Bin Liu

According to our database, Bin Liu authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fine-grained selective similarity integration for drug-target interaction prediction.

Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas

Briefings Bioinform., March, 2023

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues.

Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas

IEEE Intell. Syst., 2023

2022

Multi-label sampling based on local label imbalance.

Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas

Pattern Recognit., 2022

Multiple similarity drug-target interaction prediction with random walks and matrix factorization.

Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos

Briefings Bioinform., 2022

Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery.

Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas

Appl. Intell., 2022

2021

Addressing class imbalance in multi-label data

Bin Liu

PhD thesis, 2021

Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction.

Bin Liu, Grigorios Tsoumakas

CoRR, 2021

2020

Dealing with class imbalance in classifier chains via random undersampling.

Bin Liu, Grigorios Tsoumakas

Knowl. Based Syst., 2020

2019

Synthetic Oversampling of Multi-label Data Based on Local Label Distribution.

Bin Liu, Grigorios Tsoumakas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Making Classifier Chains Resilient to Class Imbalance.

Bin Liu, Grigorios Tsoumakas

Proceedings of The 10th Asian Conference on Machine Learning, 2018