The widespread implementation of machine learning in safety-critical domains has raised ethical concerns regarding algorithmic discrimination. In such settings, the integration of fairness-aware algorithms with
The proposed methodology is a three-step process: (1) multi-objective constrained optimization of a patient's data set, using Pareto-based elitist multi-objective evolutionary algorithms to maximize accuracy and minimize the complexity (number of rules) of classifiers, subject to interpretability constr...
In the field of security, multi-objective security games (MOSGs) allow defenders to simultaneously protect targets from multiple heterogeneous attackers. MOSGs aim to simultaneously maximize all the heterogeneous payoffs, e.g., life, money, and crime rate, without merging heterogeneous attackers. In...
This year has been the hardest of my life. Everything had started to unravel and I found myself lost without him. In the beginning I just auto-piloted everything while basically still in shock. I tried to do what I thought was right not considering myself at all but, at the end of ...
Target management in manufacturing enterprises in the application of engineering projects 翻译结果2复制译文编辑译文朗读译文返回顶部 Application of objective management in manufacturing enterprise construction project 翻译结果3复制译文编辑译文朗读译文返回顶部 Application of objective management in manufacturing enterpr...
Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main
Investors were cheered by the news that the company had secured a three year, US$500 million project with the Nigerian government for the paving and widening of a road in the Shgamu-Benin area of the country. Like many Frontier market companies, the...
4.3 Subjective Risk-Taking Effects Incentive options have also been promoted as a means to overcome a manager's hesitance to take on risky projects. A manager's personal risk aversion may make him reluctant to adopt a risky project even if it is value maximizing from the company's perspective...
Given a text for sentiment analysis, identifying whether it is subjective or objective, if subjective, whether positive or negative, whether sentiment is implicit or explicit, whether it is irony or not, each serving as seperate objective across different levels. 1.2 Typical Approaches Typical ...
Some examples of such problems include semantic annotation of images [9] (an image consists of multiple objects where each object corresponds to a label), sentiment analysis of user texts [9] (user review of a product can have multiple sentiments) etc. In real world scenario, it has ...