Citation Impact
Citing Papers
Supervised learning with decision tree-based methods in computational and systems biology
2009
Repairing concavities in ROC curves
2005
Bayesian chain classifiers for multidimensional classification
2011
Multi-Label Classification on Tree- and DAG-Structured Hierarchies
2011
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
2021 Standout
Classifier chains for multi-label classification
2011 Standout
Structure-based Markov random field model for representing evolutionary constraints on functional sites
2016
ilastik: interactive machine learning for (bio)image analysis
2019 Standout
agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update
2017 Standout
Applications of contact predictions to structural biology
2017 StandoutNobel
Towards revealing the functions of all genes in plants
2013
A Bayesian Probabilistic Approach for Acoustic Emission‐Based Rail Condition Assessment
2017
Ontology of core data mining entities
2014
Multi-label Classification Using Ensembles of Pruned Sets
2008
An introduction to ROC analysis
2005 Standout
Object-Based Image Classification of Summer Crops with Machine Learning Methods
2014
Challenges of species distribution modeling belowground
2008
A review of performance evaluation measures for hierarchical classifiers
2007
Particle swarm optimization
2007 Standout
Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes
2014 Standout
A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data
2005
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
A survey on semi-supervised learning
2019 Standout
Multi-dimensional classification with Bayesian networks
2011
An extensive experimental comparison of methods for multi-label learning
2012
Classification assessment methods
2018 Standout
A Tutorial on Multilabel Learning
2015 Standout
Recent advances in convolutional neural networks
2017 Standout
In-situ synthesizing carbon nanotubes on cement to develop self-sensing cementitious composites for smart high-speed rail infrastructures
2022 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
2018 Standout
A systematic analysis of performance measures for classification tasks
2009 Standout
Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems
2019
Decision forest: Twenty years of research
2015
Semi-supervised classification trees
2017
A Review on Multi-Label Learning Algorithms
2013 Standout
Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network
2020 Standout
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
2009 Standout
Designing a general type-2 fuzzy expert system for diagnosis of depression
2019 Standout
Ensemble learning: A survey
2018 Standout
Works of Jan Struyf being referenced
Finding explained groups of time-course gene expression profiles with predictive clustering trees
2010
Deriving biased classifiers for better ROC performance
2001
Hierarchical multi-classification
2002
Predicting gene function using hierarchical multi-label decision tree ensembles
2010
Decision trees for hierarchical multi-label classification
2008
Using multi-objective classification to model communities of soil microarthropods
2005
Tree ensembles for predicting structured outputs
2012