Manuel P. Cuéllar

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Human Activities

Regression Methods

Top Venues

Expert Syst. Appl.

Appl. Soft Comput.

Int. J. Approx. Reason.

Publications

Elfi Fertl, Do Dinh Tan Nguyen, Martin Krueger, Georg Stettinger, Rubén Padial-Allué, Encarnación Castillo, Manuel P. Cuéllar
End-to-End Ultrasonic Hand Gesture Recognition. Sensors 24 (9) (2024)
David Morales, Manuel P. Cuéllar, Diego Pedro Morales
Exploring methods for the generation of visual counterfactuals in the latent space. Pattern Anal. Appl. 27 (3) (2024)
David M. Rodríguez, Manuel P. Cuéllar, Diego Pedro Morales
Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning. Appl. Intell. 54 (5) (2024)
David M. Rodríguez, Manuel P. Cuéllar, Diego Pedro Morales
On the fusion of soft-decision-trees and concept-based models. Appl. Soft Comput. 160 (2024)
Manuel P. Cuéllar, M. C. Pegalajar, C. Cano
Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning. Quantum Inf. Process. 23 (5) (2024)
Manuel P. Cuéllar, Francisco Javier Lobillo, Gabriel Navarro
Fast parallel computation of reduced row echelon form to find the minimum distance of linear codes. Expert Syst. Appl. 224 (2023)
Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing. Sensors 23 (2) (2023)
David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit. Expert Syst. Appl. 230 (2023)
Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez
Time Series Forecasting with Quantum Neural Networks. IWANN (1) (2023)
Eva Andrés, Manuel P. Cuéllar, Gabriel Navarro
Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning. IEEE Access 11 (2023)
Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos
Context-adaptable radar-based people counting via few-shot learning. Appl. Intell. 53 (21) (2023)
Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei
Time series quantum classifiers with amplitude embedding. Quantum Mach. Intell. 5 (2) (2023)
Javier Mendez, Kay Bierzynski, Manuel P. Cuéllar, Diego Pedro Morales
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions. ACM Trans. Embed. Comput. Syst. 21 (5) (2022)
Ramón Rueda Delgado, Manuel P. Cuéllar, Luis G. Baca Ruíz, Maria del Carmen Pegalajar
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming. Expert Syst. Appl. 194 (2022)
David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar
Electric demand forecasting with neural networks and symbolic time series representations. Appl. Soft Comput. 122 (2022)
Javier Mendez, Miguel Molina, Noel Rodriguez, Manuel P. Cuéllar, Diego Pedro Morales
Camera-LiDAR Multi-Level Sensor Fusion for Target Detection at the Network Edge. Sensors 21 (12) (2021)
Manuel Pegalajar Cuéllar, Luis G. Baca Ruíz, Manuel P. Cuéllar, Ramón Rueda Delgado
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques. Int. J. Approx. Reason. 133 (2021)
Javier Mendez, Stephan Schoenfeldt, Xinyi Tang, Jakob Valtl, Manuel P. Cuéllar, Diego Pedro Morales
Automatic Label Creation Framework for FMCW Radar Images Using Camera Data. IEEE Access 9 (2021)
Manuel P. Cuéllar, Ramón Rueda Delgado, Luis G. Baca Ruiz, Maria del Carmen Pegalajar
A Three-valued Logic Approach for Edge Detection Using Cellular Automata. J. Cell. Autom. 15 (5-6) (2021)
Manuel P. Cuéllar, José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro
Genetic algorithms with permutation-based representation for computing the distance of linear codes. Swarm Evol. Comput. 60 (2021)
Manuel P. Cuéllar, José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro
Genetic algorithms with permutation-based representation for computing the distance of linear codes. CoRR (2020)
Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling. Int. J. Approx. Reason. 121 (2020)
Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar, M. Delgado
Straight line programs for energy consumption modelling. Appl. Soft Comput. 80 (2019)
Luis G. Baca Ruíz, Manuel I. Capel, Manuel P. Cuéllar
Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem. Appl. Soft Comput. 76 (2019)
Luis G. Baca Ruiz, Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar
Energy consumption forecasting based on Elman neural networks with evolutive optimization. Expert Syst. Appl. 92 (2018)
Ramón Rueda Delgado, Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling. ICPRAM (2017)
Olmo León, Manuel P. Cuéllar, Miguel Delgado
A novel approach for real-time learning and recognition of human activities. J. Ambient Intell. Smart Environ. 8 (4) (2016)
Manuel P. Cuéllar, María Ros, María J. Martín-Bautista, Yann-Aël Le Borgne, Gianluca Bontempi
An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios. MONAMI (2014)
Olmo León, Manuel P. Cuéllar, Miguel Delgado, Yann-Aël Le Borgne, Gianluca Bontempi
Human Activity Recognition Framework in Monitored Environments. ICPRAM (2014)
Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
A fuzzy ontology for semantic modelling and recognition of human behaviour. Knowl. Based Syst. 66 (2014)
Manuel P. Cuéllar, Maria del Carmen Pegalajar
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers. Comput. Appl. Eng. Educ. 22 (1) (2014)
Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
A survey on ontologies for human behavior recognition. ACM Comput. Surv. 46 (4) (2013)
Natalia Díaz Rodríguez, Johan Lilius, Manuel P. Cuéllar, Miguel Delgado Calvo-Flores
An approach to improve semantics in Smart Spaces using reactive fuzzy rules. IFSA/NAFIPS (2013)
María Ros, Manuel P. Cuéllar, Miguel Delgado, M. Amparo Vila
Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows. Inf. Sci. 220 (2013)
Derek T. Anderson, María Ros, James M. Keller, Manuel P. Cuéllar, Mihail Popescu, Miguel Delgado, M. Amparo Vila
Similarity measure for anomaly detection and comparing human behaviors. Int. J. Intell. Syst. 27 (8) (2012)
Sonia Capel-Cuevas, Nuria López-Ruiz, Antonio Martínez-Olmos, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez, Alberto J. Palma, Ignacio de Orbe-Payá, Luis F. Capitán-Vallvey
A Compact Optical Instrument with Artificial Neural Network for pH Determination. Sensors 12 (5) (2012)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
Improving learning management through semantic web and social networks in e-learning environments. Expert Syst. Appl. 38 (4) (2011)
Manuel P. Cuéllar, María Ros, Miguel Delgado, M. Amparo Vila
An Estimator Update Scheme for Large Teams of Learning Automata. DCAI (2011)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
A common framework for information sharing in e-learning management systems. Expert Syst. Appl. 38 (3) (2011)
Manuel P. Cuéllar, Fernando Berzal Galiano, Pedro González, Nicolás Marín, Javier Martinez-Baena, Ignacio Requena
A.I.P.O.: Aula Interactiva para Prácticas con Ordenador. Rev. Iberoam. de Tecnol. del Aprendiz. 4 (1) (2009)
Miguel Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 38 (2) (2008)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks. ICEIS (2) (2007)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study. IWANN (2007)
Miguel Delgado, Maria del Carmen Pegalajar Jiménez, Manuel P. Cuéllar
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction. Expert Syst. J. Knowl. Eng. 23 (2) (2006)
Manuel P. Cuéllar, Miguel Delgado, Waldo Fajardo, Ramón Pérez-Pérez
An Information System to Perform Services Remotely from a Web Browser. ICEIS (2) (2005)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems. ICEIS (2) (2005)
Manuel P. Cuéllar, Waldo Fajardo, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez, M. A. Navarro
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness. ICEIS (2) (2004)
Manuel P. Cuéllar, A. Navarro, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness. ICEIS (2) (2004)