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Keyword

classifier chains

Description: Classifier chains are multi-label machine-learning methods that predict labels sequentially, using earlier label predictions to inform later ones.
Wikidata ID: wiki/Q5128441
OpenAlex ID: keywords/classifier-chains
Classifier chains for multi-label classification
2011 · Jesse Read, Bernhard Pfahringer, et al. · Machine Learning · 2,293
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An extensive experimental comparison of methods for multi-label learning
2012 · Gjorgji Madjarov, Dragi Kocev, et al. · Pattern Recognition · 727
Classifier Chains for Multi-label Classification
2009 · Jesse Read, Bernhard Pfahringer, et al. · Lecture notes in computer science · 607
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Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains
2010 · Weiwei Cheng, Eyke H llermeier, et al. · International Conference on Machine Learning · 370
Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter
2019 · Muhammad Okky Ibrohim, Indra Budi · 243
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Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
2017 · Jinseok Nam, Eneldo Loza Mencía, et al. · neural information processing systems · 140
Bayesian chain classifiers for multidimensional classification
2011 · Julio H. Zaragoza, Luis Enrique Sucar, et al. · 130
Classifier Chains: A Review and Perspectives
2021 · Jesse Read, Bernhard Pfahringer, et al. · Journal of Artificial Intelligence Research · 129
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A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains
2013 · Eduardo Correa Goncalves, Alexandre Plastino, et al. · Proceedings - International Conference on Tools with Artificial Intelligence, TAI · 123
Efficient monte carlo methods for multi-dimensional learning with classifier chains
2013 · Jesse Read, Luca Martino, et al. · Pattern Recognition · 112
Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions
2021 · Eman Abdelmaksoud, Shaker El-Sappagh, et al. · IEEE Access · 110
Scalable-effort classifiers for energy-efficient machine learning
2015 · Swagath Venkataramani, Anand Raghunathan, et al. · Proceedings - ACM IEEE Design Automation Conference · 107
Multi-label classification with Bayesian network-based chain classifiers
2013 · L. Enrique Sucar, Concha Bielza, et al. · Pattern Recognition Letters · 101
Scalable Multi-label Classification
2010 · Jesse Read · Research Commons (University of Waikato) · 89
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Scalable multi-output label prediction: From classifier chains to classifier trellises
2015 · Jesse Read, Luca Martino, et al. · Pattern Recognition · 83
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An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels
2017 · Liu, W., Tsang, I., et al. · Max Planck Digital Library · 81
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A novel reasoning mechanism for multi-label text classification
2020 · Ran Wang, Robert Ridley, et al. · Information Processing & Management · 77
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction
2013 · Dominik Heider, Robin Senge, et al. · Bioinformatics · 74
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Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms
2018 · Bassam Al-Salemi, Masri Ayob, et al. · Information Processing & Management · 72
On the optimality of classifier chain for multi-label classification
2015 · Weiwei Liu, Ivor W. Tsang · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · 71
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A Machine Learning-Based Recommender System for Improving Students Learning Experiences
2020 · Nacim Yanes, Ayman Mohamed Mostafa, et al. · IEEE Access · 70
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Performance comparison of multi-label learning algorithms on clinical data for chronic diseases
2015 · Damien Zufferey, Thomas Hofer, et al. · Computers in Biology and Medicine · 68
Multi-label classification based ensemble learning for human activity recognition in smart home
2020 · Manan Jethanandani, Abhishek Sharma, et al. · Internet of Things · 61
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification
2013 · Robin Senge, Juan José del Coz, et al. · Studies in classification, data analysis, and knowledge organization · 61
Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion
2022 · Yingping Li, Samy Ammari, et al. · Cancers · 60
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Works count: 465
Citation count: 8,749
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