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Listar por autor "Herrera-Viedma, Enrique"

Mostrando ítems 1-20 de 54

    • 25 years at Knowledge-Based Systems: A bibliometric analysis 

      Cobo, Manuel Jesús; Martínez, Mª Ángeles ; Fujita, Hamido; Herrera-Viedma, Enrique (Knowledge-Based Systems, 05/2015)
      In commemoration of the Anniversary 25th of KnoSys we present a bibliometric analysis of the scientific content of the journal during the period 1991–2014. This analysis shows the conceptual evolution of the journal and ...

    • A Bibliometric Overview of the International Journal of Interactive Multimedia and Artificial Intelligence 

      Herrera-Viedma, Enrique; Baier-Fuentes, Hugo; Cascón-Katchadourian, Jesús; Merigó, José; Martínez, M A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) published its first issue ten years ago. Currently, IJIMAI is indexed in the important database Emerging Sources Citation Index. This ...

    • A Fuzzy Linguistic RFM Model Applied to Campaign Management 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Blasco, María Francisca; García-Madariaga, Jesús (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of three ...

    • A Granular Computing Based Approach for Improving the Consistency of Intuitionistic Reciprocal Preference Relations 

      Cabrerizo, Francisco Javier; Pérez, Ignacio Javier; Morente-Molinera, Juan Antonio ; Alonso, Sergio; Herrera-Viedma, Enrique (Studies in Fuzziness and Soft Computing, 2021)
      Pairwise comparison between alternatives is the preference elicitation method most used in decision making. To model it, a mathematical model based on the concept of preference relation has been proposed. When preference ...

    • A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives 

      Morente-Molinera, Juan Antonio; Kou, G; Pérez, Javier Ignacio; Pérez, Ignacio Javier; Samuylov, K.; Selamat, Ali; Herrera-Viedma, Enrique (Applied Soft Computing, 07/2018)
      One of the main challenges that the appearance of Web 2.0 and the overall spreading of the Internet have generated is how to tackle with the high number of users and information available. This problem is also inherited ...

    • A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak 

      Liu, Xian-Xian; Fong, Simon James; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Applied intelligence, 2021)
      Measuring the spread of disease during a pandemic is critically important for accurately and promptly applying various lockdown strategies, so to prevent the collapse of the medical system. The latest pandemic of COVID-19 ...

    • A Novel Android Application Design Based on Fuzzy Ontologies to Carry Out Local Based Group Decision Making Processes 

      Morente-Molinera, Juan Antonio ; Wikstroem, R.; Carlsson, Christer; Cabrerizo, Francisco Javier; Perez, I. J.; Herrera-Viedma, Enrique (Modeling decisions for artificial intelligence, (MDAI 2016), 2016)
      The appearance of Web 2.0 and mobile technologies, the increase of users participating on the Internet and the high amount of available information have created the necessity of designing tools capable of making the most ...

    • A recommender system based on implicit feedback for selective dissemination of ebooks 

      Núñez-Valdez, Edward Rolando; Quintana, David; González-Crespo, Rubén ; Isasi, Pedro; Herrera-Viedma, Enrique (Information Sciences, 10/2018)
      In this study, we describe a recommendation system for electronic books. The approach is based on implicit feedback derived from user's interaction with electronic content. User's behavior is tracked through several ...

    • A Web Information System to Improve the Digital Library Service Quality 

      Cabrerizo, Francisco Javier; Martínez, Mª Ángeles ; López-Gijón, J.; Chiclana, Francisco; Herrera-Viedma, Enrique (Frontiers in Artificial Intelligence and Applications, 2015)
      To asses the quality of the services provided by a digital library, traditional measures, such as the size of its collection, have usually been utilized. However, service quality also has to be evaluated by considering ...

    • Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes 

      Kamal, M.S; Northcote, A; Chowdhury, L; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Institute of Electrical and Electronics Engineers Inc., 2021)
      There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine ...

    • An Adaptive Feedback Mechanism for Consensus Reaching Processes Based on Individuals’ Credibility 

      Cabrerizo, Francisco Javier; Pérez, Ignacio Javier; Morente-Molinera, Juan Antonio ; Alonso, Sergio; Herrera-Viedma, Enrique (Proceedings of the 52ND annual Hawait international conference on system sciences, 2019)
      In group decision making, the decision made should be the one of highest consensus. Numerous consensus reaching processes have been developed as a part of the decision process. Within a consensus reaching process, a notable ...

    • An automatic procedure to create fuzzy ontologies from users’ opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods 

      Morente-Molinera, Juan Antonio ; Kou, Gang; Pang, C.; Cabrerizo, Francisco Javier; Herrera-Viedma, Enrique (Information Sciences, 02/2019)
      The high amount of information that users continually provides to the Internet is unorganized and difficult to interpret. Unluckily, there is no point in having high amounts of information that we cannot work with. Therefore, ...

    • Analysing discussions in social networks using group decision making methods and sentiment analysis 

      Morente-Molinera, Juan Antonio ; Kou, G; Peng, Y.; Torres-Albero, C.; Herrera-Viedma, Enrique (Information Sciences, 06/2018)
      Social networks are one of the most preferred environments for people to carry out debates. Since a large amount of people can participate in the process, there is a need for tools that can analyse these discussions and ...

    • Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models 

      James Fong, Simon; Lobo Marques, João Alexandre; Li, G.; Dey, Nilanjan; González-Crespo, Rubén; Herrera-Viedma, Enrique; Bernardo Gois, F. Nauber; Xavier Neto, José (Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
      A significant number of people infected by COVID19 do not get sick immediately but become carriers of the disease. These patients might have a certain incubation period. However, the classical compartmental model, SEIR, ...

    • Analyzing the Scientific Evolution of Social Work Using Science Mapping 

      Martínez Sánchez, María Ángeles ; Cobo, Manuel Jesús; Herrera Gómez, Manuel; Herrera-Viedma, Enrique (Research on Social Work Practice, 03/2015)
      Objectives: This article reports the first science mapping analysis of the social work field, which shows its conceptual structure and scientific evolution. Methods: Science Mapping Analysis Software Tool, a bibliometric ...

    • Un análisis bibliométrico de la producción académica española en la categoría de Trabajo Social del Journal Citation Report 

      Martínez Sánchez, María Ángeles ; Díaz Herrera, Miguel ; Lima Fernández, Ana Isabel; Herrera Gómez, Manuel; Herrera-Viedma, Enrique (Cuadernos de Trabajo Social, 12/2014)
      El objetivo de este trabajo es identificar y analizar la producción científica española en el área de Trabajo Social según las bases de datos bibliográficas de referencia internacional propiedad de Thomson Reuter, Web of ...

    • Automatic detection of lung nodule in CT scan slices using CNN segmentation schemes: A study 

      Kadry, Seifedine; Herrera-Viedma, Enrique; González-Crespo, Rubén; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      The lung is one of the prime respiratory organs in human physiology, and its abnormality will severely disrupt the respiratory system. Lung Nodule (LN) is one of the abnormalities, and early screening and treatment are ...

    • Bibliometric Tools for Discovering Information in Database 

      Herrera-Viedma, Enrique; Martínez, M. Angeles; Herrera Gómez, Manuel (Trends in applied knowledge-based systems and data science, 2016)
      In bibliometrics, there are two main procedures to explore a research field: performance analysis and science mapping. Performance analysis aims at evaluating groups of scientific actors (countries, universities, departments, ...

    • Characterizing highly cited papers in Social Work through H-Classics 

      Martínez Sánchez, María Ángeles ; Herrera Gómez, Manuel; Jiménez Contreras, Evaristo; Ruiz, A.; Herrera-Viedma, Enrique (Scientometrics, 02/2015)
      Highly cited papers are an important reference point in a research field. H-Classics is a new identification method of highly cited papers that is based on the H-index and is sensitive to the own characteristics of any ...

    • Classification of Breast Thermal Images into Healthy/Cancer Group Using Pre-Trained Deep Learning Schemes 

      Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      In the women's community, Breast Cancer (BC) is a severe disease. The World Health Organization reported in 2020 that 2.26 million deaths occur due to BC. BC is curable if detected early. Since thermal imaging is non-invasive ...