Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …

Medical imaging has evolved from a pure visualization tool to representing a primary source
of analytic approaches toward in vivo disease characterization. Hybrid imaging is an integral …

Route choice in multimodal networks shows a considerable variation between different
individuals and the current situational context. Personalization and situation awareness of …

The accuracy of collaborative-filtering recommender systems largely depends on three
factors: the quality of the rating prediction algorithm, and the quantity and quality of available …

Text preprocessing is a common task in machine learning applications that involves hand-
labeling sets. Although automatic and semi-automatic annotation of text data is a growing …

This article explores the problem of image-based personality questionnaire design.
Compared with the traditional text-based personality questionnaire, the image-based …

This paper positions and explores the topic of image-based personality test. Instead of
responding to text-based questions, the subjects will be provided a set of “choose-your …

Emerging domains such as smart electric grids require decisions to be made autonomously,
based on the observed behaviors of large numbers of connected consumers. Existing …

This paper introduces CLEO, a novel preference elicitation algorithm capable of
recommending complex objects in hybrid domains, characterized by both discrete and …

Many real-world problems have a natural formulation as Multiobjective Optimization
Problems (MOPs), in which multiple conflicting objectives need to be simultaneously …