Citation Impact
Citing Papers
Multi-label learning by instance differentiation
2007
An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
2007
Graded Multilabel Classification: The Ordinal Case
2010
An Automated Individual Feedback and Marking System: An Empirical Study.
2011
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification
2015
Classifier chains for multi-label classification
2011 Standout
Rayyan—a web and mobile app for systematic reviews
2016 Standout
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
2023 Standout
PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement
2016 Standout
Semi-automated screening of biomedical citations for systematic reviews
2010
Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches
2015
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
2021 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Multilabel Classification with Principal Label Space Transformation
2012
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
2015 Standout
Maximum Margin Output Coding
2012
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
2019 Standout
Random k-Labelsets for Multilabel Classification
2010
Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach
2018
Efficient multi-label classification for evolving data streams
2010
Fast multi-label core vector machine
2012
Scalable and efficient multi-label classification for evolving data streams
2012
Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior
2017
Two stage architecture for multi-label learning
2011
Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes
2014 Standout
Survey of intrusion detection systems: techniques, datasets and challenges
2019 Standout
Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification
2009
On label dependence and loss minimization in multi-label classification
2012
A model for multi-label classification and ranking of learning objects
2012
PROMETHEE: A comprehensive literature review on methodologies and applications
2009 Standout
The analysis of reading tasks and texts
1977
Automatic Detection of Comment Propaganda in Chinese Media
2015
Automatic tag recommendation algorithms for social recommender systems
2011
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
Cost-Effective Active Learning for Deep Image Classification
2016
Efficient prediction algorithms for binary decomposition techniques
2011
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
2015
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Preference disaggregation and statistical learning for multicriteria decision support: A review
2010
Learning from imbalanced data: open challenges and future directions
2016 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Multi-dimensional classification with Bayesian networks
2011
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems
2014
A Survey of Deep Active Learning
2021 Standout
Statistical topic models for multi-label document classification
2011
D-Confidence: an active learning strategy to reduce label disclosure complexity in the presence of imbalanced class distributions
2012
An extensive experimental comparison of methods for multi-label learning
2012
A Tutorial on Multilabel Learning
2015 Standout
Adaptive Large Margin Training for Multilabel Classification
2011
Recent advances in convolutional neural networks
2017 Standout
Active Learning Literature Survey
2009 Standout
Ml-rbf: RBF Neural Networks for Multi-Label Learning
2009
Efficient voting prediction for pairwise multilabel classification
2010
An efficient multi-label support vector machine with a zero label
2011
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Compressed labeling on distilled labelsets for multi-label learning
2012
Consensus reaching in social network group decision making: Research paradigms and challenges
2018 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Multi-class batch-mode active learning for image classification
2010
Learning to Learn: On Training Students to Learn from Texts
1981 Standout
Multi-instance multi-label learning
2011
Reconstructive Democratic Theory
1993 Standout
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
2011
How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument
2017 Standout
Handbook of Discourse Analysis
2006
A Review on Multi-Label Learning Algorithms
2013 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
2013
Feature selection for multi-label naive Bayes classification
2009
Ordering based decision making – A survey
2012
A machine learning approach to sentiment analysis in multilingual Web texts
2008
Ensemble learning: A survey
2018 Standout
Ensemble methods for multi-label classification
2014
Binarization With Boosting and Oversampling for Multiclass Classification
2015
Works of Klaus Brinker being referenced
A Unified Model for Multilabel Classification and Ranking
2006
Incorporating diversity in active learning with support vector machines
2003
Text- und Gesprächslinguistik : ein internationales Handbuch zeitgenössischer Forschung
2000
Case-based multilabel ranking
2007
Label ranking by learning pairwise preferences
2008
Zum Textbegriff in der heutigen Linguistik
2014
Learning valued preference structures for solving classification problems
2008
Multilabel classification via calibrated label ranking
2008