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08/16/2023
Continuous Sweep: an improved, binary quantifier
Quantification is a supervised machine learning task, focused on estimat...
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10/26/2022
Imputation of missing values in multi-view data
When missing values occur in multi-view data, all features in a view are...
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08/12/2021
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification
Multi-view data refers to a setting where features are divided into feat...
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07/29/2021
The Bradly-Terry Regression Trunk approach for modelling preference data with small trees
This paper introduces the Bradley-Terry Regression Trunk model, a novel ...
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02/16/2021
The MELODIC family for simultaneous binary logistic regression in a reduced space
Logistic regression is a commonly used method for binary classification....
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10/30/2020
View selection in multi-view stacking: Choosing the meta-learner
Multi-view stacking is a framework for combining information from differ...
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11/26/2019
The Early Roots of Statistical Learning in the Psychometric Literature: A review and two new results
Machine and Statistical learning techniques become more and more importa...
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11/06/2018