[HTML][HTML] Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance
Electronic health records provide rich, heterogeneous data about the evolution of the
patients' health status. However, such data need to be processed carefully, with the aim of …
patients' health status. However, such data need to be processed carefully, with the aim of …
Simpful: a user-friendly python library for fuzzy logic
Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications
related to computer science and engineering, given the capability of fuzzy inference systems …
related to computer science and engineering, given the capability of fuzzy inference systems …
A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks
Munsell soil-colour charts are widely used for soil classification. These charts contain 238
standardised colours in small rectangular chips arranged in seven charts and encoded in …
standardised colours in small rectangular chips arranged in seven charts and encoded in …
Management of construction Safety and Health Plans based on automated content analysis
M Martínez-Rojas, RM Antolín… - Automation in …, 2020 - Elsevier
Safety management in the construction sector continues to be of great concern due to the
high accident rate. Enormous legislative efforts have been made to minimize this problem. In …
high accident rate. Enormous legislative efforts have been made to minimize this problem. In …
Generation and evaluation of factual and counterfactual explanations for decision trees and fuzzy rule-based classifiers
Data-driven classification algorithms have proven highly effective in a range of complex
tasks. However, their output is sometimes questioned, as the reasoning behind it may …
tasks. However, their output is sometimes questioned, as the reasoning behind it may …
pyFUME: a Python package for fuzzy model estimation
Living in the era of" data deluge" demands for an increase in the application and
development of machine learning methods, both in basic and applied research. Among …
development of machine learning methods, both in basic and applied research. Among …
Benefits of ensemble models in road pavement cracking classification
The maintenance of road pavements is an essential task to prevent major deterioration and
to reduce accident rates. In this task, the detection and classification of different types of …
to reduce accident rates. In this task, the detection and classification of different types of …
Toward explainable artificial intelligence through fuzzy systems
Abstract Explainable Artificial Intelligence is a novel paradigm conjugating the effectiveness
of machine learning with the new requirements coming from the integration of intelligent …
of machine learning with the new requirements coming from the integration of intelligent …
Optimizing Customer Retention in the Telecom Industry: A Fuzzy-Based Churn Modeling with Usage Data
Churn is a serious challenge for the telecommunications industry because of the much
higher costs of gaining new customers than maintaining existing ones. Therefore, efforts to …
higher costs of gaining new customers than maintaining existing ones. Therefore, efforts to …
Prevention of falls from heights in construction using an iot system based on fuzzy markup language and JFML
The main cause of fatal accidents in the construction sector are falls from height (FFH) and
the inappropriate use of a harness is commonly associated with these fatalities. Traditional …
the inappropriate use of a harness is commonly associated with these fatalities. Traditional …