Enhancing soft computing techniques to actively address imbalanced regression problems

This paper has been supported in part by the ERDF A way of making Europe/Health Institute Carlos III/Spanish Ministry of Science, Innovation and Universities (grant number PI20/00711), by the ERDF A way of making Europe/Regional Government of Andalusia/Ministry of Economic Transformation, Industry, Knowledge and Universities (grant numbers P18-RT-2248 and B-CTS-536-UGR20) and by the MCIN/AEI/10.13039/50110001103 (grant numbers PID2019-107793GB-I00 and PID2020-119478GB-I00). Funding for open access charge: Universidad de Granada / CBUA

Sustainable development as a pedagogical challenge for the 21st century university

Actualmente los organismos internacionales implicados en la educación, le asignan a las universidades la responsabilidad social en el abordaje interdisciplinar de los principales retos mundiales. Entre ellos ha de citarse la sostenibilidad, la inclusión educativa y la cooperación al desarrollo, buscando sinergias que permitan hacer realidad estos desafíos en las aulas de los centros de Educación Superior. El objetivo de este trabajo es investigar las oportunidades y barreras universitarias para emprender tales misiones. La metodología consiste, en primer lugar, en construir un marco teórico que permita establecer relaciones entre educación para la sostenibilidad, inclusión, pobreza y movilidad. En una segunda parte se aborda la técnica del aprendizaje servicio y la ecologización del currículum universitario, a nivel conceptual y desde las percepciones de docentes universitarios, a partir de un estudio cualitativo realizado en la Facultad de Educación de la Universidad de Málaga. Las conclusiones desvelan la relación entre una educación que vele por la justicia social y ambiental, además de las dificultades para trabajar la sostenibilidad, debidas a la falta de formación del profesorado universitarioCurrently, international organizations in¬volved in education assign to universities the social responsibility of designing inter¬disciplinary approaches to the study of major global challenges. These global challenges, including sustainability, educational inclu¬sion and development cooperation, present an opportunity for seeking synergies that will make the study of these challenges a reality in the classrooms of higher education centers. The objective of this work is to in¬vestigate the opportunities and barriers uni¬versities face for undertaking such missions. The methodology consists, in the first place, of constructing a theoretical framework that allows for establishing relationships within education for studying sustainability, inclu¬sion, poverty and mobility. The second part deals with the technique of service learning and environmentalization of the university curriculum. We address the latter at a con¬ceptual level as well as from perceptions of university teachers based on a qualitative study done by the Faculty of Education of the University of Malaga. The conclusions reveal the relationship between an educa¬tion that ensures social and environmental justice, in addition to the difficulties of work¬ing towards sustainability due to the lack of training of university teaching staff

Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems

In the specialized literature, researchers can find a large number of proposals for solving regression problems that come from different research areas. However, researchers tend to use only proposals from the area in which they are experts. This paper analyses the performance of a large number of the available regression algorithms from some of the most known and widely used software tools in order to help non-expert users from other areas to properly solve their own regression problems and to help specialized researchers developing well-founded future proposals by properly comparing and identifying algorithms that will enable them to focus on significant further developments. To sum up, we have analyzed 164 algorithms that come from 14 main different families available in 6 software tools (Neural Networks, Support Vector Machines, Regression Trees, Rule-Based Methods, Stacking, Random Forests, Model trees, Generalized Linear Models, Nearest Neighbor methods, Partial Least Squares and Principal Component Regression, Multivariate Adaptive Regression Splines, Bagging, Boosting, and other methods) over 52 datasets. A new measure has also been proposed to show the goodness of each algorithm with respect to the others. Finally, a statistical analysis by non-parametric tests has been carried out over all the algorithms and on the best 30 algorithms, both with and without bagging. Results show that the algorithms from Random Forest, Model Tree and Support Vector Machine families get the best positions in the rankings obtained by the statistical tests when bagging is not considered. In addition, the use of bagging techniques significantly improves the performance of the algorithms without excessive increase in computational times.This work was supported in part by the University of Córdoba under the project PPG2019-UCOSOCIAL-03, and in part by the Spanish Ministry of Science, Innovation and Universities under Grant TIN2015- 68454-R and Grant TIN2017-89517-P

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

Fuzzy systems have been used widely thanks to their ability to successfully solve a wide range of problems in different application fields. However, their replication and application require a high level of knowledge and experience. Furthermore, few researchers publish the software and/or source code associated with their proposals, which is a major obstacle to scientific progress in other disciplines and in industry. In recent years, most fuzzy system software has been developed in order to facilitate the use of fuzzy systems. Some software is commercially distributed, but most software is available as free and open-source software, reducing such obstacles and providing many advantages: quicker detection of errors, innovative applications, faster adoption of fuzzy systems, etc. In this paper, we present an overview of freely available and open-source fuzzy systems software in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well-founded future work. To accomplish this, we propose a two-level taxonomy, and we describe the main contributions related to each field. Moreover, we provide a snapshot of the status of the publications in this field according to the ISI Web of Knowledge. Finally, some considerations regarding recent trends and potential research directions are presentedThis work was supported in part by the Spanish Ministry of Economy and Competitiveness under Grants TIN2014-56633-C3-3-R and TIN2014-57251-P, the Andalusian Government under Grants P10-TIC-6858 and P11-TIC-7765, and the GENIL program of the CEI BioTIC GRANADA under Grant PYR-2014-2S

X Jornadas de Trabajo en el Ámbito Social y VIII Jornadas de Interlocución Municipal. Fundación Isonomía 2009

VIII Jornadas de Interlocución Municipal. X Jornadas de Trabajo en el Ámbito Socia