A5090246872- AI-based Problem Solving and Planning
- Evolutionary Algorithms and Applications
- Network Security and Intrusion Detection
- Metaheuristic Optimization Algorithms Research
- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Machine Learning and Data Classification
- Data Mining Algorithms and Applications
- AI in cancer detection
- Gene expression and cancer classification
- Advanced Malware Detection Techniques
- Advanced Multi-Objective Optimization Algorithms
- Neural Networks and Applications
- Cutaneous Melanoma Detection and Management
- Job Satisfaction and Organizational Behavior
- Complex Network Analysis Techniques
- Diverse Aspects of Tourism Research
- Image Retrieval and Classification Techniques
- Text and Document Classification Technologies
- Information and Cyber Security
- Constraint Satisfaction and Optimization
- Machine Learning in Bioinformatics
- Rough Sets and Fuzzy Logic
- Time Series Analysis and Forecasting
- Workplace Spirituality and Leadership
Universitat Ramon Llull
2008-2024
IQ Samhällsbyggnad
2022
La Salle University
2008-2011
Intel (United States)
2006
Multiobjective evolutionary clustering algorithms are based on the optimization of several objective functions that guide search following a cycle algorithms. Their capabilities allow them to find better solutions than with conventional if suitable individual representation is selected. This paper provides detailed analysis three most relevant and useful representations-prototype-based, label-based, graph-based-through wide set synthetic data sets. Moreover, they also compared Experiments...
Mass tourism is growing uncontrolled in many destinations worldwide. Negative impacts emerge from it, transforming the city and influencing on locals’ lifestyle well-being. However, debates contradictions real impact communities. From that, a deeper analysis of this issue needed to understand how people perceive its effects. A quantitative study was conducted two mature Spain: Barcelona Sevilla. One major findings research importance support manage tourism. Practical managerial implications...
Purpose The purpose of this research paper is to provide with a strategic approach reduce organizational turnover by identifying undergraduates' work values. In order do so, the undertook two different studies. first one focused on values, while second explored alignment between values and current human resources retention strategies. Design/methodology/approach follows mixed-method combining Work Values Scale (EVAT) applied 293 hospitality undergraduates bachelor's degree in Tourism...
Minimizing the gap between students' expectations and company value propositions is essential to improve professional development of students, reduce turnover foster organizational commitment, so, career advisors have become key players connect students with potential employers. This especially relevant in this COVID-19 time when millions jobs been destroyed there a high level uncertainty regarding what will happen future. Thus, aim research investigate relationship personality traits their...
DESMAI is a framework for helping experts in breast cancer diagnosis. It allows to explore digital mammographic image databases according certain topology criteria when they need decide whether sample benign or malignant. In this way, are provided with complementary information enhance their interpretations and predictions. The core of the application SOMCBR system, which variant Case-Based Reasoning system featured by organizing case memory using Self-Organizing Map. article presents...
Abstract This paper presents a methodology conceived as support system to identify unknown materials by means of the automatic recognition their Raman spectra. Initially, design and implementation were framed in an artistic context where spectra analyzed belong pigments. The analysis pigmentation used artwork constitutes one most important contributions its global study. proposes systematically spectra, following way analysts usually work laboratory but avoiding assessment subjectivity. It...
The incidence of breast cancer varies greatly among countries, but statistics show that every year 720,000 new cases will be diagnosed world-wide. However, a low percentage women who suffer it can detected using mammography methods. Therefore, is necessary to develop strategies detect its formation in early stages. Many machine learning techniques have been applied order help doctors the diagnosis decision process, definition and application are complex, getting results which not often...