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Elderly-centered usability heuristics for augmented reality design and development
Augmented reality (AR) technology is making rapid progress and gaining high popularity, substantially due to the variety of new possibilities that it...
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Domain independent heuristics for online stochastic contingent planning
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions....
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Formalization of Research Heuristics for the Problems of Cognitive Sociology
The paper deals with the problems of the formalization of research heuristics used to solve problems of cognitive sociology. The proposed approach is...
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Online learning of variable ordering heuristics for constraint optimisation problems
Solvers for constraint optimisation problems exploit variable and value ordering heuristics. Numerous expert-designed heuristics exist, while recent...
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Learning heuristics for weighted CSPs through deep reinforcement learning
Weighted constraint satisfaction problems (WCSPs) are one of the most important constraint programming models aiming to find a cost-minimal solution....
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Genetic algorithms and heuristics hybridized for software architecture recovery
Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches...
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A meta-heuristics based framework of cluster label optimization in MR images using stable random walk
Cluster labeling is a problem of finding optimal clusters by maximizing the similarity within clusters. Generally, classical optimization methods are...
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The Formalized Heuristics for Typological Analysis of Society
AbstractThis paper deals with the problems of formalizing research heuristics used in the process of empirical typologization of social objects or...
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A Hybrid Meta-heuristics Algorithm: XGBoost-Based Approach for IDS in IoT
In recent years, the importance of the Internet of Things (IoT) and its applications has increased. IoT networks are diverse, allowing for various...
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An Empirical Evaluation of Constrained Feature Selection
While feature selection helps to get smaller and more understandable prediction models, most existing feature-selection techniques do not consider...
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How do referees integrate evaluation criteria into their overall judgment? Evidence from grant peer review
Little is known whether peer reviewers use the same evaluation criteria and how they integrate the criteria into their overall judgment. This study...
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Understanding the role of human-inspired heuristics for retrieval models
Relevance estimation is one of the core concerns of information retrieval (IR) studies. Although existing retrieval models gained much success in...
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Team usability testing: development and validation of a groupware usability evaluation method
As virtual teamwork became widespread, the importance of the usability of groupware has increased, as groupware must have high usability in order to...
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Local Branching Relaxation Heuristics for Integer Linear Programs
Large Neighborhood Search (LNS) is a popular heuristic algorithm for solving combinatorial optimization problems (COP). It starts with an initial...
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An empirical evaluation of defect prediction approaches in within-project and cross-project context
The software defect prediction approaches are evaluated, in within-project context only, with only a few other approaches, according to distinct...
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Public Transparency in Brazil: Evaluation of Transparency Websites and Portals of Local Governments with More Than 200 Thousand Inhabitants
Analyzing the usability of transparency websites and local government portals has been the subject of scientific discussion. Instead of discussing...
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WAVE: designing a heuristics-based three-way breadth-first search on GPUs
Breadth-first search (BFS) is a building block for improving the performance of many iterative graph algorithms. In addition to conventional BFS...
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Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking Selection
It has been proven that non-elitist evolutionary algorithms (EAs) with proper selection mechanisms, including the recently proposed power-law ranking...
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An empirical study of fault localization in Python programs
Despite its massive popularity as a programming language, especially in novel domains like data science programs, there is comparatively little...
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Optimization of heterogeneous systems with AI planning heuristics and machine learning: a performance and energy aware approach
Heterogeneous computing systems provide high performance and energy efficiency. However, to optimally utilize such systems, solutions that distribute...
