Analysis of traffic accident severity using decision rules via decision trees

J Abellán, G López, J De OñA - Expert Systems with Applications, 2013 - Elsevier
A Decision Tree (DT) is a potential method for studying traffic accident severity. One of its
main advantages is that Decision Rules (DRs) can be extracted from its structure. And these …

Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring

J Abellán, CJ Mantas - Expert Systems with Applications, 2014 - Elsevier
Previous studies about ensembles of classifiers for bankruptcy prediction and credit scoring
have been presented. In these studies, different ensemble schemes for complex classifiers …

Credal-C4. 5: Decision tree based on imprecise probabilities to classify noisy data

CJ Mantas, J Abellan - Expert Systems with Applications, 2014 - Elsevier
In the area of classification, C4. 5 is a known algorithm widely used to design decision trees.
In this algorithm, a pruning process is carried out to solve the problem of the over-fitting. A …

Nonparametric predictive inference for system reliability using the survival signature

FPA Coolen, T Coolen-Maturi… - Proceedings of the …, 2014 - journals.sagepub.com
The survival signature has recently been presented as an attractive concept to aid
quantification of system reliability. It has similar characteristics as the system signature …

A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov bounds

MS Kovalev, LV Utkin - Neural Networks, 2020 - Elsevier
A new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is
proposed for explaining machine learning survival models. The algorithm is developed to …

A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems

LH Yang, YM Wang, YX Lan, L Chen, YG Fu - Knowledge-Based Systems, 2017 - Elsevier
Rule reduction is one of the research objectives in numerous successful rule-based
systems. In some analyses, too many useless rules may be a concern in a rule-based …

Automated classification between age-related macular degeneration and diabetic macular edema in OCT image using image segmentation

J Sugmk, S Kiattisin… - The 7th 2014 biomedical …, 2014 - ieeexplore.ieee.org
Age-related macular degeneration (AMD) and Diabetic macular edema (DME) are to lead
causes to make a visual loss in people. People are suffered from the use of many time to …

Imprecise weighted extensions of random forests for classification and regression

LV Utkin, MS Kovalev, FPA Coolen - Applied Soft Computing, 2020 - Elsevier
One of the main problems of using the random forests (RF) in classification and regression
tasks is a lack of sufficient data which fall into certain leaves of trees in order to estimate the …

[PDF][PDF] Nonparametric Predictive Inference.

FPA Coolen - 2011 - tahanimaturi.com
Nonparametric Predictive Inference (NPI) is a statistical methodology based on Hill's
assumption A (n)[30], which gives a direct conditional probability for a future observable …

A framework for extended belief rule base reduction and training with the greedy strategy and parameter learning

W Bi, F Gao, A Zhang, S Bao - Multimedia Tools and Applications, 2022 - Springer
The extended belief rule-based system has been used in the field of decision making in
recent years for its advantage of expressing various kinds of information under uncertainty …