Semi-supervised Co-ensembling for AutoML

• Enhancing Semi-supervised Learning with a Meta-feature Based Safeguard System

  2025 Lecture notes in computer science conference-paper Computer Science Machine Learning and Algorithms

  1

  citations
• Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential

  2022 Engineering Applications of Artificial Intelligence article Engineering Geotechnical Engineering and Soil Mechanics

  53

  citations
• AutoML: state of the art with a focus on anomaly detection, challenges, and research directions

  2022 International Journal of Data Science and Analytics article Computer Science Machine Learning and Data Classification

  132

  citations

3 results

• Random Forests

  2001 Machine Learning article Mathematics Statistical Methods and Inference Open access

  134,047

  citations
• Scikit-learn: Machine Learning in Python

  2012 ORBi (University of Liège) article Computer Science Computational Physics and Python Applications Open access

  63,589

  citations
• The WEKA data mining software

  2009 ACM SIGKDD Explorations Newsletter article Computer Science Data Mining Algorithms and Applications Open access

  17,864

  citations
• Individual Comparisons by Ranking Methods

  1945 Biometrics Bulletin article Mathematics Probability and Statistical Research

  15,316

  citations
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006 article Computer Science Machine Learning and Data Classification

  11,155

  citations
• Ensemble Methods in Machine Learning

  2000 Lecture notes in computer science conference-paper Computer Science Neural Networks and Applications

  8,152

  citations
• Random search for hyper-parameter optimization

  2012 article Computer Science Advanced Multi-Objective Optimization Algorithms

  7,867

  citations
• Practical Bayesian Optimization of Machine Learning Algorithms

  2012 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

  6,312

  citations
• Combining labeled and unlabeled data with co-training

  1998 conference-paper Computer Science Machine Learning and Algorithms Open access

  5,624

  citations
• Semi-Supervised Learning Literature Survey

  2005 article Computer Science Machine Learning and Algorithms

  3,823

  citations
• Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

  2018 IEEE Transactions on Pattern Analysis and Machine Intelligence article Computer Science Adversarial Robustness in Machine Learning

  2,880

  citations
• A survey on semi-supervised learning

  2019 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

  2,684

  citations
• Neural Architecture Search: A Survey

  2018 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

  1,802

  citations
• Auto-WEKA

  2013 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Machine Learning and Data Classification

  1,371

  citations
• Efficient and robust automated machine learning

  2015 Neural Information Processing Systems article Computer Science Machine Learning and Data Classification

  1,246

  citations
• Tri-training: exploiting unlabeled data using three classifiers

  2005 IEEE Transactions on Knowledge and Data Engineering article Computer Science Machine Learning and Algorithms

  1,194

  citations
• Ensemble selection from libraries of models

  2004 conference-abstract Computer Science Machine Learning and Data Classification

  873

  citations
• Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA

  2019 ˜The œSpringer series on challenges in machine learning book-chapter Computer Science Machine Learning and Data Classification Open access

  673

  citations
• Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

  2013 Knowledge and Information Systems article Computer Science Machine Learning and Algorithms Open access

  581

  citations
• Semi-Supervised Learning with Ladder Networks

  2015 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

  579

  citations