Manuel P. Cuéllar

According to our database1, Manuel P. Cuéllar authored at least 35 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling.
Int. J. Approx. Reason., 2020

Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem.
Appl. Soft Comput., 2019

Straight line programs for energy consumption modelling.
Appl. Soft Comput., 2019

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

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

A novel approach for real-time learning and recognition of human activities.
J. Ambient Intell. Smart Environ., 2016

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

A fuzzy ontology for semantic modelling and recognition of human behaviour.
Knowl. Based Syst., 2014

Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers.
Comput. Appl. Eng. Educ., 2014

An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios.
Proceedings of the Mobile Networks and Management - 6th International Conference, 2014

Human Activity Recognition Framework in Monitored Environments.
Proceedings of the ICPRAM 2014, 2014

Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows.
Inf. Sci., 2013

A survey on ontologies for human behavior recognition.
ACM Comput. Surv., 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

An approach to improve semantics in Smart Spaces using reactive fuzzy rules.
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

A Compact Optical Instrument with Artificial Neural Network for pH Determination.
Sensors, 2012

Similarity measure for anomaly detection and comparing human behaviors.
Int. J. Intell. Syst., 2012

Improving learning management through semantic web and social networks in e-learning environments.
Expert Syst. Appl., 2011

A common framework for information sharing in e-learning management systems.
Expert Syst. Appl., 2011

Linguistic summarization of long-term trends for understanding change in human behavior.
Proceedings of the FUZZ-IEEE 2011, 2011

An Estimator Update Scheme for Large Teams of Learning Automata.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011

Multi-Objective Training of Neural Networks.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A.I.P.O.: Aula Interactiva para Prácticas con Ordenador.
Rev. Iberoam. de Tecnol. del Aprendiz., 2009

Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2008

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

Memetic evolutionary training for recurrent neural networks: an application to time-series prediction.
Expert Syst. J. Knowl. Eng., 2006

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

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