LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "ensemble classifiers" as a keyword



Stability investigation of multi-objective heuristic ensemble classifiers

Sign Up to like & get
recommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-018-0789-6

Abstract: Stability analysis of heuristic ensemble classifiers, which are designed by using heuristic methods, is a significant topic due to the stochastic nature of heuristic algorithms. Considering the importance of this issue, the novelty of this… read more here.

Keywords: heuristic ensemble; objective heuristic; multi objective; stability investigation ... See more keywords

Ensemble of classifiers and wavelet transformation for improved recognition of Fuhrman grading in clear-cell renal carcinoma

Sign Up to like & get
recommendations! Published in 2017 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2017.04.005

Abstract: Abstract The paper presents an improved system to recognition of Fuhrman grading in clear-cell renal carcinoma using an ensemble of classifiers. The novelty of solution includes the segmentation applying wavelet transformation in preprocessing stage, application… read more here.

Keywords: wavelet transformation; recognition fuhrman; fuhrman grading; ensemble classifiers ... See more keywords

Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2018.2886341

Abstract: The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of… read more here.

Keywords: number; ensemble size; less comprehensive; number components ... See more keywords

RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2024.3514115

Abstract: The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing methods extract a subset of rules for approximation… read more here.

Keywords: visualization; anomalous rules; ensemble classifiers; scalable matrix ... See more keywords

Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment

Sign Up to like & get
recommendations! Published in 2020 at "Shock and Vibration"

DOI: 10.1155/2020/8899487

Abstract: In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining… read more here.

Keywords: damage detection; structural damage; ensemble classifiers; wavelet transform ... See more keywords

ENCAP: Computational prediction of tumor T cell antigens with ensemble classifiers and diverse sequence features

Sign Up to like & get
recommendations! Published in 2024 at "PLOS ONE"

DOI: 10.1371/journal.pone.0307176

Abstract: Cancer immunotherapy enhances the body’s natural immune system to combat cancer, offering the advantage of lowered side effects compared to traditional treatments because of its high selectivity and efficacy. Utilizing computational methods to identify tumor… read more here.

Keywords: classifiers diverse; ensemble classifiers; tumor cell; cell antigens ... See more keywords