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Found 4 papers, 0 papers with code
Three-way Decisions with Evaluative Linguistic Expressions
We propose a linguistic interpretation of three-way decisions, where the regions of acceptance, rejection, and non-commitment are constructed by using the so-called evaluative linguistic expressions, which are expressions of natural language such as small, medium, very short, quite roughly strong, extremely good, etc.
A Distributional Approach for Soft Clustering Comparison and Evaluation
The development of external evaluation criteria for soft clustering (SC) has received limited attention: existing methods do not provide a general approach to extend comparison measures to SC, and are unable to account for the uncertainty represented in the results of SC algorithms.
Responsible AI in Healthcare
This article discusses open problems, implemented solutions, and future research in the area of responsible AI in healthcare.
A giant with feet of clay: on the validity of the data that feed machine learning in medicine
This paper considers the use of Machine Learning (ML) in medicine by focusing on the main problem that this computational approach has been aimed at solving or at least minimizing: uncertainty.
