Manuel P. Cuéllar
Orcid: 0000-0002-9736-1608Affiliations:
- University of Granada, Department of Computer Science and Artificial Intelligence, Spain
According to our database1,
Manuel P. Cuéllar
authored at least 59 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning.
Quantum Inf. Process., May, 2024
Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning.
Appl. Intell., March, 2024
2023
Quantum Mach. Intell., December, 2023
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit.
Expert Syst. Appl., November, 2023
Appl. Intell., November, 2023
Fast parallel computation of reduced row echelon form to find the minimum distance of linear codes.
Expert Syst. Appl., August, 2023
IEEE Access, 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
ACM Trans. Embed. Comput. Syst., September, 2022
IEEE Internet Things J., 2022
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming.
Expert Syst. Appl., 2022
Electric demand forecasting with neural networks and symbolic time series representations.
Appl. Soft Comput., 2022
IEEE Access, 2022
2021
Genetic algorithms with permutation-based representation for computing the distance of linear codes.
Swarm Evol. Comput., 2021
Sensors, 2021
J. Cell. Autom., 2021
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques.
Int. J. Approx. Reason., 2021
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques.
Int. J. Approx. Reason., 2021
IEEE Access, 2021
2020
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling.
Int. J. Approx. Reason., 2020
2019
Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem.
Appl. Soft Comput., 2019
2018
Energy consumption forecasting based on Elman neural networks with evolutive optimization.
Expert Syst. Appl., 2018
A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
2017
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
2016
J. Ambient Intell. Smart Environ., 2016
2014
Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method.
Sensors, 2014
Knowl. Based Syst., 2014
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers.
Comput. Appl. Eng. Educ., 2014
Proceedings of the Mobile Networks and Management - 6th International Conference, 2014
Proceedings of the ICPRAM 2014, 2014
2013
Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows.
Inf. Sci., 2013
Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Rapid prototyping of semantic applications in smart spaces with a visual rule language.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013
2012
Sensors, 2012
Int. J. Intell. Syst., 2012
2011
Improving learning management through semantic web and social networks in e-learning environments.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Linguistic summarization of long-term trends for understanding change in human behavior.
Proceedings of the FUZZ-IEEE 2011, 2011
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Rev. Iberoam. de Tecnol. del Aprendiz., 2009
2008
IEEE Trans. Syst. Man Cybern. Part B, 2008
2007
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.
Proceedings of the Computational and Ambient Intelligence, 2007
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks.
Proceedings of the ICEIS 2007, 2007
2006
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction.
Expert Syst. J. Knowl. Eng., 2006
2005
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems.
Proceedings of the ICEIS 2005, 2005
An Information System to Perform Services Remotely from a Web Browser.
Proceedings of the ICEIS 2005, 2005
2004
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness.
Proceedings of the ICEIS 2004, 2004
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness.
Proceedings of the ICEIS 2004, 2004