ArticleTop (Berlin, Germany)2021
Mathematical optimization in classification and regression trees.
Article in Top (Berlin, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
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- Mapping the complexity of ME/CFS: Evidence for abnormal energy metabolism, altered immune profile, and vascular dysfunction.Cell reports. Medicine · 2025Article
- A Machine Learning-Based Guide for Repeated Laboratory Testing in Pediatric Emergency Departments.Diagnostics (Basel, Switzerland) · 2025Article
- AI-assisted exposure-response data analysis: Quantifying heterogeneous causal effects of exposures on survival times.Global epidemiology · 2025Article
- Role of PLA2R domain antibodies and epitope spreading in risk stratification and prediction of proteinuria remission in primary membranous nephropathy.Scientific reports · 2025Article
- Data-based regression models for predicting remifentanil pharmacokinetics.Indian journal of anaesthesia · 2024Article
- A novel adaptive weight bi-directional long short-term memory (AWBi-LSTM) classifier model for heart stroke risk level prediction in IoT.PeerJ. Computer science · 2024Article
- Research on Pedestrian Crossing Decision Models and Predictions Based on Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data.Sensors (Basel, Switzerland) · 2022Article
- Machine Learning-Based Prediction of Specific Energy Consumption for Cut-Off Grinding.Sensors (Basel, Switzerland) · 2022Article
- Assessment of the influence of features on a classification problem: An application to COVID-19 patients.European journal of operational research · 2022Article
- Exploring the Whole Rashomon Set of Sparse Decision Trees.Advances in neural information processing systems · 2022Article
- Fast Sparse Decision Tree Optimization via Reference Ensembles.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2022Article
- On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19.European journal of operational research · 2021Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Classification and regression trees, as well as their variants, are off-the-shelf methods in Machine Learning. In this paper, we review recent contributions within the Continuous Optimization and the Mixed-Integer Linear Optimization paradigms to develop novel formulations in this research area. We compare those in terms of the nature of the decision variables and the constraints required, as well as the optimization algorithms proposed. We illustrate how these powerful formulations enhance the flexibility of tree models, being better suited to incorporate desirable properties such as cost-sensitivity, explainability, and fairness, and to deal with complex data, such as functional data.
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