Publikationen in Zusammenarbeit mit Forschern von Universidad de Granada (87)

2023

  1. A non-linear multi-objective technique for hybrid peer-to-peer communication

    Information Sciences, Vol. 629, pp. 413-439

2022

  1. Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 83-102

  2. Semiautomatic Grading of Short Texts for Open Answers in Higher Education

    Communications in Computer and Information Science

  3. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 103-139

  4. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 65-81

2021

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

    Applied Intelligence, Vol. 51, Núm. 7, pp. 4162-4198

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

    IEEE Transactions on Instrumentation and Measurement, Vol. 70

  3. Enhancing big data feature selection using a hybrid correlation-based feature selection

    Electronics (Switzerland), Vol. 10, Núm. 23

  4. Modelling dynamics of coronavirus disease 2019 spread for pandemic forecasting based on Simulink

    Physical Biology, Vol. 18, Núm. 4

  5. Multilayer Framework for Botnet Detection Using Machine Learning Algorithms

    IEEE Access, Vol. 9, pp. 48753-48768

  6. On the Use of Meta-Heuristic Algorithms for Automated Test Suite Generation in Software Testing

    Studies in Systems, Decision and Control (Springer Science and Business Media Deutschland GmbH), pp. 149-197

2020

  1. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction

    Applied Soft Computing Journal, Vol. 93

  2. Fast single image haze removal method for inhomogeneous environment using variable scattering coefficient

    CMES - Computer Modeling in Engineering and Sciences, Vol. 123, Núm. 3, pp. 1175-1192

  3. Fuzzy logic expert system for selecting robotic hands using kinematic parameters

    Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Núm. 4, pp. 1553-1564

  4. Managing situations with high number of elements in group decision making

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques

    Expert Systems with Applications, Vol. 127, pp. 187-198

  2. Using clustering methods to deal with high number of alternatives on Group Decision Making

    Procedia Computer Science

2018

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

    Information Sciences, Vol. 467, pp. 87-98

  2. Empathy and virtual agents for learning applications in symbiotic systems

    IEEE Global Engineering Education Conference, EDUCON

  3. Fuzzy logic models for non-programmed decision-making in personnel selection processes based on gamification

    Informatica (Netherlands), Vol. 29, Núm. 1, pp. 1-20