research
∙
08/02/2022
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling
Extracting knowledge from unlabeled texts using machine learning algorit...
share
research
∙
06/07/2021
Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem
With the popularity of Machine Learning (ML) solutions, algorithms and d...
research
∙
11/30/2020
Using dynamical quantization to perform split attempts in online tree regressors
A central aspect of online decision tree solutions is evaluating the inc...
research
∙
07/31/2020
Rethinking Defaults Values: a Low Cost and Efficient Strategy to Define Hyperparameters
Machine Learning (ML) algorithms have been successfully employed by a va...
research
∙
06/04/2019
A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers
For many machine learning algorithms, predictive performance is critical...
research
∙
03/29/2019
Online Multi-target regression trees with stacked leaf models
The amount of available data raises at large steps. Developing machine l...
research
∙
12/05/2018