This page has only limited features, please log in for full access.
On 14 March 2020, Spain came to a standstill and the movement of people was restricted with the publication of Royal Decree (RD) 463/2020 and the education sector had to reinvent itself with new rules and procedures. The purpose of this paper is to analyse the impact of the different government regulations and their effect on university teaching planning. Since the approval of RD 555/2020, educational competences were returned to the autonomous communities and each of them implemented different public policies. We will analyse the specific impact on teaching planning and models applied in Catalonia and their development, which vary according to the evolution of the number of COVID-19 infections and which has been marking the political, economic and social agenda since the beginning of the pandemic. The university has moved from teaching in a face-to-face environment to a virtual or semi-virtual or blended learning environment. This change implies a paradigmatic transformation in communication, education, organisation, evaluation and planning, among others. At ESIC Business & Marketing School (ESIC) these pedagogical paradigm shifts have contributed to transform the learning processes in a context of pedagogical innovation.
Javier Bustos Díaz; Teodor Mellen Vinagre; Ruben Nicolas-Sans. University Teaching Planning in Times of COVID-19: Analysis of the Catalan Context and Proposal for a Future Model from ESIC Business and Marketing School Experience. Sustainability 2021, 13, 5936 .
AMA StyleJavier Bustos Díaz, Teodor Mellen Vinagre, Ruben Nicolas-Sans. University Teaching Planning in Times of COVID-19: Analysis of the Catalan Context and Proposal for a Future Model from ESIC Business and Marketing School Experience. Sustainability. 2021; 13 (11):5936.
Chicago/Turabian StyleJavier Bustos Díaz; Teodor Mellen Vinagre; Ruben Nicolas-Sans. 2021. "University Teaching Planning in Times of COVID-19: Analysis of the Catalan Context and Proposal for a Future Model from ESIC Business and Marketing School Experience." Sustainability 13, no. 11: 5936.
Adrián Caballero-Escusol; Ruben Nicolas-Sans; Javier Bustos Díaz. El impacto de las plataformas de podcast en redes sociales: Estudio de caso en las cuentas oficiales de iVoox y Anchor en Instagram, Facebook y Twitter. aDResearch ESIC International Journal of Communication Research 2021, 25, 92 -105.
AMA StyleAdrián Caballero-Escusol, Ruben Nicolas-Sans, Javier Bustos Díaz. El impacto de las plataformas de podcast en redes sociales: Estudio de caso en las cuentas oficiales de iVoox y Anchor en Instagram, Facebook y Twitter. aDResearch ESIC International Journal of Communication Research. 2021; 25 (25):92-105.
Chicago/Turabian StyleAdrián Caballero-Escusol; Ruben Nicolas-Sans; Javier Bustos Díaz. 2021. "El impacto de las plataformas de podcast en redes sociales: Estudio de caso en las cuentas oficiales de iVoox y Anchor en Instagram, Facebook y Twitter." aDResearch ESIC International Journal of Communication Research 25, no. 25: 92-105.
Ruben Nicolas-Sans; Daniel González Ibáñez. Customer basket heterogeneity: how to measure it and some possible business applications. Economic Research-Ekonomska Istraživanja 2020, 1 -21.
AMA StyleRuben Nicolas-Sans, Daniel González Ibáñez. Customer basket heterogeneity: how to measure it and some possible business applications. Economic Research-Ekonomska Istraživanja. 2020; ():1-21.
Chicago/Turabian StyleRuben Nicolas-Sans; Daniel González Ibáñez. 2020. "Customer basket heterogeneity: how to measure it and some possible business applications." Economic Research-Ekonomska Istraživanja , no. : 1-21.
Research presents an analysis of the most recent literature focused on digital transformation in business with special emphasis on the area of marketing. Within the framework of the changes that characterize the digital revolution in the Information Society, the use of Big Data is presented as the most important challenge and innovation of recent years. The use of massive data, only accessible to the largest companies, is seen as an effective tool for building customer loyalty by using data generated by the customers themselves to predict their behavior as consumers. However, this same use of data also raises ethical questions which should be explored.
Cristina Fernández-Rovira; Jesús Álvarez Valdés; Gemma Molleví; Ruben Nicolas-Sans. The digital transformation of business. Towards the datafication of the relationship with customers. Technological Forecasting and Social Change 2020, 162, 120339 .
AMA StyleCristina Fernández-Rovira, Jesús Álvarez Valdés, Gemma Molleví, Ruben Nicolas-Sans. The digital transformation of business. Towards the datafication of the relationship with customers. Technological Forecasting and Social Change. 2020; 162 ():120339.
Chicago/Turabian StyleCristina Fernández-Rovira; Jesús Álvarez Valdés; Gemma Molleví; Ruben Nicolas-Sans. 2020. "The digital transformation of business. Towards the datafication of the relationship with customers." Technological Forecasting and Social Change 162, no. : 120339.
The number of melanoma cancer-related death has increased over the last few years due to the new solar habits. Early diagnosis has become the best prevention method. This work presents a melanoma diagnosis architecture based on the collaboration of several multilabel case-based reasoning subsystems called DERMA. The system has to face up several challenges that include data characterization, pattern matching, reliable diagnosis, and self-explanation capabilities. Experiments using subsystems specialized in confocal and dermoscopy images have provided promising results for helping experts to assess melanoma diagnosis.
Ruben Nicolas; Albert Fornells; Elisabet Golobardes; Guiomar Corral; Susana Puig; Josep Malvehy. DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning. The Scientific World Journal 2014, 2014, 1 -11.
AMA StyleRuben Nicolas, Albert Fornells, Elisabet Golobardes, Guiomar Corral, Susana Puig, Josep Malvehy. DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning. The Scientific World Journal. 2014; 2014 ():1-11.
Chicago/Turabian StyleRuben Nicolas; Albert Fornells; Elisabet Golobardes; Guiomar Corral; Susana Puig; Josep Malvehy. 2014. "DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning." The Scientific World Journal 2014, no. : 1-11.
Some of the real-world problems are represented with just one label but many of today’s issues are currently being defined with multiple labels. This second group is important because multi-label classes provide a more global picture of the problem. From the study of the characteristics of the most influential systems in this area, MlKnn and RAkEL, we can observe that the main drawback of these specific systems is the time required. Therefore, the aim of the current paper is to develop a more efficient system in terms of computation without incurring accuracy loss. To meet this objective we propose MlCBR, a system for multi-label classification based on Case-Based Reasoning. The results obtained highlight the strong performance of our algorithm in comparison with previous benchmark methods in terms of accuracy rates and computational time reduction.
Ruben Nicolas; Andreu Sancho-Asensio; Elisabet Golobardes; Albert Fornells; Albert Orriols-Puig. Multi-label classification based on analog reasoning. Expert Systems with Applications 2013, 40, 5924 -5931.
AMA StyleRuben Nicolas, Andreu Sancho-Asensio, Elisabet Golobardes, Albert Fornells, Albert Orriols-Puig. Multi-label classification based on analog reasoning. Expert Systems with Applications. 2013; 40 (15):5924-5931.
Chicago/Turabian StyleRuben Nicolas; Andreu Sancho-Asensio; Elisabet Golobardes; Albert Fornells; Albert Orriols-Puig. 2013. "Multi-label classification based on analog reasoning." Expert Systems with Applications 40, no. 15: 5924-5931.
Even though there are many tutoring systems to help students achieve their goals in terms of theoretical knowledge, as yet there is no system to foment the acquisition of the competences which form an integral part of university degree programs. This issue is crucial because the Higher Education System is changing in Europe. New educational models are being created to introduce competences which correspond specifically to degree programs. In this work-in-progress the general framework to develop an Intelligent Tutoring System (ITS) based on competences is presented. The system monitorizes the acquisition of theoretical knowledge and also the assessment of the competences related to the subject and it takes corrective actions when needed to fix a negative evolution of the student. The framework is divided into four main phases based on artificial intelligence techniques: construction, location, prediction and reinforcement. The main feature of the proposed framework is the fact that it promotes the academic development of the student in the future educational context by providing guidance and supervision to ensure the successful acquisition of both theoretical knowledge and the corresponding subject-related competences.
David Vernet; Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Alvaro Garcia-Piquer. Work in progress Intelligent tutoring system framework for the acquisition of knowledge and competences. 2010 IEEE Frontiers in Education Conference (FIE) 2010, T4G-1 -T4G-2.
AMA StyleDavid Vernet, Ruben Nicolas, Elisabet Golobardes, Albert Fornells, Alvaro Garcia-Piquer. Work in progress Intelligent tutoring system framework for the acquisition of knowledge and competences. 2010 IEEE Frontiers in Education Conference (FIE). 2010; ():T4G-1-T4G-2.
Chicago/Turabian StyleDavid Vernet; Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Alvaro Garcia-Piquer. 2010. "Work in progress Intelligent tutoring system framework for the acquisition of knowledge and competences." 2010 IEEE Frontiers in Education Conference (FIE) , no. : T4G-1-T4G-2.
Melanoma is one of the most important cancers to study in our current social context. This kind of cancer has increased its frequency in the last few years and its mortality is around twenty percent if it is not early treated. In order to improve the early diagnosis, the problem characterization using Machine Learning (ML) is crucial to identify melanoma patterns. Therefore we need to organize the data so that we can apply ML on it. This paper presents a detailed characterization based on the most relevant knowledge in melanomas problem and how to relate them to apply Data Mining techniques to aid medical diagnosis in melanoma and improve the research in this field.
Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Susana Puig; Cristina Carrera; Josep Malvehy. Identification of Relevant Knowledge for Characterizing the Melanoma Domain. Advances in Intelligent and Soft Computing 2008, 49, 55 -59.
AMA StyleRuben Nicolas, Elisabet Golobardes, Albert Fornells, Susana Puig, Cristina Carrera, Josep Malvehy. Identification of Relevant Knowledge for Characterizing the Melanoma Domain. Advances in Intelligent and Soft Computing. 2008; 49 ():55-59.
Chicago/Turabian StyleRuben Nicolas; Elisabet Golobardes; Albert Fornells; Susana Puig; Cristina Carrera; Josep Malvehy. 2008. "Identification of Relevant Knowledge for Characterizing the Melanoma Domain." Advances in Intelligent and Soft Computing 49, no. : 55-59.
Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Sonia Segura; Susana Puig; Cristina Carrera; Joseph Palou; Josep Malvehy. Using Ensemble-Based Reasoning to Help Experts in Melanoma Diagnosis. 2021, 184, 178 -185.
AMA StyleRuben Nicolas, Elisabet Golobardes, Albert Fornells, Sonia Segura, Susana Puig, Cristina Carrera, Joseph Palou, Josep Malvehy. Using Ensemble-Based Reasoning to Help Experts in Melanoma Diagnosis. . 2021; 184 ():178-185.
Chicago/Turabian StyleRuben Nicolas; Elisabet Golobardes; Albert Fornells; Sonia Segura; Susana Puig; Cristina Carrera; Joseph Palou; Josep Malvehy. 2021. "Using Ensemble-Based Reasoning to Help Experts in Melanoma Diagnosis." 184, no. : 178-185.
David Vernet; Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Carles Garriga; Susana Puig; Josep Malvehy. Pattern Discovery in Melanoma Domain Using Partitional Clustering. 2021, 184, 323 -330.
AMA StyleDavid Vernet, Ruben Nicolas, Elisabet Golobardes, Albert Fornells, Carles Garriga, Susana Puig, Josep Malvehy. Pattern Discovery in Melanoma Domain Using Partitional Clustering. . 2021; 184 ():323-330.
Chicago/Turabian StyleDavid Vernet; Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Carles Garriga; Susana Puig; Josep Malvehy. 2021. "Pattern Discovery in Melanoma Domain Using Partitional Clustering." 184, no. : 323-330.