Manuel P. Cuéllar

51 papers C 2Misc 2Journal 37Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning.
Quantum Inf. Process.
Manuel P. Cuéllar, Maria del Carmen Pegalajar, C. Cano
2024 J jnl
Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning.
Appl. Intell.
David M. Rodríguez, Manuel P. Cuéllar, Diego Pedro Morales
2024 J jnl
End-to-End Ultrasonic Hand Gesture Recognition.
Sensors
Elfi Fertl, Do Dinh Tan Nguyen, Martin Krueger, Georg Stettinger, Rubén Padial-Allué, Encarnación Castillo, Manuel P. Cuéllar
2024 J jnl
Exploring methods for the generation of visual counterfactuals in the latent space.
Pattern Anal. Appl.
David Morales, Manuel P. Cuéllar, Diego Pedro Morales
2024 — conf
Implementation of Classical Decision Trees in a Quantum Computing Paradigm.
HAIS (1)
Manuel P. Cuéllar, Luis Gonzaga Baca Ruiz, M. C. Pegalajar
2024 J jnl
On the fusion of soft-decision-trees and concept-based models.
Appl. Soft Comput.
David M. Rodríguez, Manuel P. Cuéllar, Diego Pedro Morales
2024 J jnl
What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit.
Quantum Mach. Intell.
Manuel P. Cuéllar
2023 J jnl
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit.
Expert Syst. Appl.
David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar
2023 J jnl
Context-adaptable radar-based people counting via few-shot learning.
Appl. Intell.
Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos
2023 J jnl
Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning.
IEEE Access
Eva Andrés, Manuel P. Cuéllar, Gabriel Navarro
2023 J jnl
Fast parallel computation of reduced row echelon form to find the minimum distance of linear codes.
Expert Syst. Appl.
Manuel P. Cuéllar, Francisco Javier Lobillo, Gabriel Navarro
2023 J jnl
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing.
Sensors
Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos
2023 — conf
Time Series Forecasting with Quantum Neural Networks.
IWANN (1)
Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez
2023 J jnl
Time series quantum classifiers with amplitude embedding.
Quantum Mach. Intell.
Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei
2022 J jnl
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming.
Expert Syst. Appl.
Ramón Rueda Delgado, Manuel P. Cuéllar, Luis G. Baca Ruíz, Maria del Carmen Pegalajar
2022 J jnl
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions.
ACM Trans. Embed. Comput. Syst.
Javier Mendez, Kay Bierzynski, Manuel P. Cuéllar, Diego Pedro Morales
2022 J jnl
Electric demand forecasting with neural networks and symbolic time series representations.
Appl. Soft Comput.
David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar
2021 J jnl
A Three-valued Logic Approach for Edge Detection Using Cellular Automata.
J. Cell. Autom.
Manuel P. Cuéllar, Ramón Rueda Delgado, Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar
2021 J jnl
Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques.
Int. J. Approx. Reason.
Manuel Pegalajar Cuéllar, Luis G. Baca Ruíz, Manuel P. Cuéllar, Ramón Rueda Delgado
2021 J jnl
Automatic Label Creation Framework for FMCW Radar Images Using Camera Data.
IEEE Access
Javier Mendez, Stephan Schoenfeldt, Xinyi Tang, Jakob Valtl, Manuel P. Cuéllar, Diego Pedro Morales
2021 J jnl
Camera-LiDAR Multi-Level Sensor Fusion for Target Detection at the Network Edge.
Sensors
Javier Mendez, Miguel Molina, Noel Rodriguez, Manuel P. Cuéllar, Diego Pedro Morales
2021 J jnl
Genetic algorithms with permutation-based representation for computing the distance of linear codes.
Swarm Evol. Comput.
Manuel P. Cuéllar, José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro
2020 J jnl
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling.
Int. J. Approx. Reason.
Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
2020 J jnl
Genetic algorithms with permutation-based representation for computing the distance of linear codes.
CoRR
Manuel P. Cuéllar, José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro
2019 J jnl
Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem.
Appl. Soft Comput.
Luis G. Baca Ruíz, Manuel I. Capel, Manuel P. Cuéllar
2019 J jnl
Straight line programs for energy consumption modelling.
Appl. Soft Comput.
Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar, Miguel Delgado
2018 J jnl
Energy consumption forecasting based on Elman neural networks with evolutive optimization.
Expert Syst. Appl.
Luis Gonzaga Baca Ruiz, Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar
2017 C conf
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling.
ICPRAM
Ramón Rueda Delgado, Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar
2016 J jnl
A novel approach for real-time learning and recognition of human activities.
J. Ambient Intell. Smart Environ.
Olmo León, Manuel P. Cuéllar, Miguel Delgado
2014 J jnl
A fuzzy ontology for semantic modelling and recognition of human behaviour.
Knowl. Based Syst.
Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2014 — conf
An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios.
MONAMI
Manuel P. Cuéllar, María Ros, María J. Martín-Bautista, Yann-Aël Le Borgne, Gianluca Bontempi
2014 J jnl
Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers.
Comput. Appl. Eng. Educ.
Manuel P. Cuéllar, Maria del Carmen Pegalajar
2014 C conf
Human Activity Recognition Framework in Monitored Environments.
ICPRAM
Olmo León, Manuel P. Cuéllar, Miguel Delgado, Yann-Aël Le Borgne, Gianluca Bontempi
2013 J jnl
A survey on ontologies for human behavior recognition.
ACM Comput. Surv.
Natalia Díaz Rodríguez, Manuel P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2013 — conf
An approach to improve semantics in Smart Spaces using reactive fuzzy rules.
IFSA/NAFIPS
Natalia Díaz Rodríguez, Johan Lilius, Manuel P. Cuéllar, Miguel Delgado Calvo-Flores
2013 J jnl
Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows.
Inf. Sci.
María Ros, Manuel P. Cuéllar, Miguel Delgado, Maria-Amparo Vila
2012 J jnl
A Compact Optical Instrument with Artificial Neural Network for pH Determination.
Sensors
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
2012 J jnl
Similarity measure for anomaly detection and comparing human behaviors.
Int. J. Intell. Syst.
Derek T. Anderson, María Ros, James M. Keller, Manuel P. Cuéllar, Mihail Popescu, Miguel Delgado, Maria-Amparo Vila
2011 J jnl
A common framework for information sharing in e-learning management systems.
Expert Syst. Appl.
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2011 Misc conf
An Estimator Update Scheme for Large Teams of Learning Automata.
DCAI
Manuel P. Cuéllar, María Ros, Miguel Delgado, Maria-Amparo Vila
2011 J jnl
Improving learning management through semantic web and social networks in e-learning environments.
Expert Syst. Appl.
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2009 J jnl
A.I.P.O.: Aula Interactiva para Prácticas con Ordenador.
Rev. Iberoam. de Tecnol. del Aprendiz.
Manuel P. Cuéllar, Fernando Berzal Galiano, Pedro González, Nicolás Marín, Javier Martinez-Baena, Ignacio Requena
2009 — ch.
Multi-Objective Training of Neural Networks.
Encyclopedia of Artificial Intelligence
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2008 J jnl
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B
Miguel Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar Jiménez
2007 — conf
Problems and Features of Evolutionary Algorithms to Build Hybrid Training Methods for Recurrent Neural Networks.
ICEIS (2)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2007 Misc conf
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.
IWANN
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2006 J jnl
Memetic evolutionary training for recurrent neural networks: an application to time-series prediction.
Expert Syst. J. Knowl. Eng.
Miguel Delgado, Maria del Carmen Pegalajar Jiménez, Manuel P. Cuéllar
2005 — conf
An Application of Non-Linear Programming to Train Recurrent Neural Networks in Time Series Prediction Problems.
ICEIS (2)
Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez
2005 — conf
An Information System to Perform Services Remotely from a Web Browser.
ICEIS (2)
Manuel P. Cuéllar, Miguel Delgado, Waldo Fajardo, Ramón Pérez-Pérez
2004 — conf
A Comparative Study of Evolutionary Algorithms for Training Elman Recurrent Neural Networks to Predict Autonomous Indebtedness.
ICEIS (2)
Manuel P. Cuéllar, A. Navarro, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez
2004 — conf
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness.
ICEIS (2)
Manuel P. Cuéllar, Waldo Fajardo, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez, M. Angeles Gonzales Navarro