Global multi-output decision trees for interaction prediction

A multiple kernel learning algorithm for drug-target interaction prediction

(2016) André C. A. Nascimento et al.   BMC BIOINFORMATICS

Protein-protein interaction prediction based on multiple kernels and partial network with linear programming

(2016) Lei Huang et al.   BMC Systems Biology

Human Protein Subcellular Localization with Integrated Source and Multi-label Ensemble Classifier

(2016) Xiaotong Guo et al.   Scientific Reports

Predicting drug side effects by multi-label learning and ensemble learning

(2015) Wen Zhang et al.   BMC BIOINFORMATICS

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Classifying pairs with trees for supervised biological network inference

(2015) Marie Schrynemackers et al.   Molecular BioSystems

A structured view on pattern mining-based biclustering

(2015) Rui Henriques et al.   PATTERN RECOGNITION

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Optimizing drug–target interaction prediction based on random walk on heterogeneous networks

(2015) Abhik Seal et al.   Journal of Cheminformatics

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On protocols and measures for the validation of supervised methods for the inference of biological networks

(2013) Marie Schrynemackers et al.   Frontiers in Genetics

Network regression with predictive clustering trees

(2012) Daniela Stojanova et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach

(2012) Xin Li et al.   DECISION SUPPORT SYSTEMS

Introduction to the special issue on learning from multi-label data

(2012) Grigorios Tsoumakas et al.   MACHINE LEARNING

On label dependence and loss minimization in multi-label classification

(2012) Krzysztof Dembczyński et al.   MACHINE LEARNING

Flaws in evaluation schemes for pair-input computational predictions

(2012) Yungki Park et al.   NATURE METHODS

Tree ensembles for predicting structured outputs

(2012) Dragi Kocev et al.   PATTERN RECOGNITION

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING

Predicting labels for dyadic data

(2010) Aditya Krishna Menon et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Random k-Labelsets for Multilabel Classification

(2010) Grigorios Tsoumakas et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Supervised learning with decision tree-based methods in computational and systems biology

(2009) Pierre Geurts et al.   Molecular BioSystems

Prediction of drug-target interaction networks from the integration of chemical and genomic spaces

(2008) Y. Yamanishi et al.   BIOINFORMATICS

Decision trees for hierarchical multi-label classification

(2008) Celine Vens et al.   MACHINE LEARNING