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Manuel P. Cuéllar
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- affiliation: University of Granada, Department of Computer Science and Artificial Intelligence, Spain
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2020 – today
- 2024
- [j42]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): 3667-3679 (2024) - [j41]David M. Rodríguez, Manuel P. Cuéllar, Diego Pedro Morales:
On the fusion of soft-decision-trees and concept-based models. Appl. Soft Comput. 160: 111632 (2024) - [j40]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): 81 (2024) - [j39]Manuel P. Cuéllar, Maria del Carmen Pegalajar, C. Cano:
Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning. Quantum Inf. Process. 23(5): 179 (2024) - [j38]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): 2740 (2024) - [c19]Manuel P. Cuéllar, Luis Gonzaga Baca Ruiz, M. C. Pegalajar:
Implementation of Classical Decision Trees in a Quantum Computing Paradigm. HAIS (1) 2024: 226-237 - 2023
- [j37]Jessica Giovagnola, Juan B. Moro Megías, Miguel Molina Fernández, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos:
AirLoop: A Simulation Framework for Testing of UAV Services. IEEE Access 11: 23309-23325 (2023) - [j36]Eva Andrés, Manuel P. Cuéllar, Gabriel Navarro:
Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning. IEEE Access 11: 104534-104553 (2023) - [j35]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): 25359-25387 (2023) - [j34]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: 119955 (2023) - [j33]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: 120661 (2023) - [j32]Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei:
Time series quantum classifiers with amplitude embedding. Quantum Mach. Intell. 5(2): 45 (2023) - [j31]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): 804 (2023) - [c18]Manuel P. Cuéllar, Maria del Carmen Pegalajar, Luis G. Baca Ruíz, Carlos Cano Gutierrez:
Time Series Forecasting with Quantum Neural Networks. IWANN (1) 2023: 666-677 - 2022
- [j30]Gianfranco Mauro, Mateusz Chmurski, Lorenzo Servadei, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos:
Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge. IEEE Access 10: 29741-29759 (2022) - [j29]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: 108871 (2022) - [j28]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: 116415 (2022) - [j27]Miguel Molina, Javier Mendez, Diego Pedro Morales, Encarnación Castillo, Marisa López-Vallejo, Manuel Pegalajar:
Power-Efficient Implementation of Ternary Neural Networks in Edge Devices. IEEE Internet Things J. 9(20): 20111-20121 (2022) - [j26]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): 48:1-48:41 (2022) - 2021
- [j25]Borja Saez, Javier Mendez, Miguel Molina, Encarnación Castillo, Manuel Pegalajar, Diego Pedro Morales:
Gesture Recognition With Ultrasounds and Edge Computing. IEEE Access 9: 38999-39008 (2021) - [j24]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: 83329-83339 (2021) - [j23]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: 48-59 (2021) - [j22]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: 48-59 (2021) - [j21]Manuel P. Cuéllar, Ramón Rueda Delgado, Luis Gonzaga Baca Ruiz, Maria del Carmen Pegalajar:
A Three-valued Logic Approach for Edge Detection Using Cellular Automata. J. Cell. Autom. 15(5-6): 407-438 (2021) - [j20]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): 3992 (2021) - [j19]Borja Saez-Mingorance, Javier Mendez-Gomez, Gianfranco Mauro, Encarnación Castillo Morales, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos:
Air-Writing Character Recognition with Ultrasonic Transceivers. Sensors 21(20): 6700 (2021) - [j18]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: 100797 (2021) - 2020
- [j17]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: 23-38 (2020) - [i1]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 abs/2002.12330 (2020)
2010 – 2019
- 2019
- [j16]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: 356-368 (2019) - [j15]Ramón Rueda Delgado, Manuel P. Cuéllar, Maria del Carmen Pegalajar, M. Delgado:
Straight line programs for energy consumption modelling. Appl. Soft Comput. 80: 310-328 (2019) - 2018
- [j14]Luis Gonzaga 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: 380-389 (2018) - [c17]Ramón Rueda Delgado, Luis G. Baca Ruíz, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores, Maria del Carmen Pegalajar Jiménez:
A Comparison Between NARX Neural Networks and Symbolic Regression: An Application for Energy Consumption Forecasting. IPMU (3) 2018: 16-27 - 2017
- [c16]Ramón Rueda Delgado, Luis Gonzaga Baca Ruiz, Patricia Jimeno-Sáez, Manuel Pegalajar Cuéllar, David Pulido-Velazquez, Maria del Carmen Pegalajar:
Experimental Evaluation of Straight Line Programs for Hydrological Modelling with Exogenous Variables. HAIS 2017: 447-458 - [c15]Ramón Rueda Delgado, Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar:
Preliminary Evaluation of Symbolic Regression Methods for Energy Consumption Modelling. ICPRAM 2017: 39-49 - 2016
- [j13]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): 423-436 (2016) - 2014
- [j12]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): 153-166 (2014) - [j11]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: 46-60 (2014) - [j10]Natalia Díaz Rodríguez, Olmo León Cadahía, Manuel Pegalajar Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores:
Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method. Sensors 14(10): 18131-18171 (2014) - [c14]Olmo León, Manuel P. Cuéllar, Miguel Delgado, Yann-Aël Le Borgne, Gianluca Bontempi:
Human Activity Recognition Framework in Monitored Environments. ICPRAM 2014: 487-494 - [c13]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: 401-414 - 2013
- [j9]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): 43:1-43:33 (2013) - [j8]María Ros, Manuel P. Cuéllar, Miguel Delgado, Maria-Amparo Vila:
Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows. Inf. Sci. 220: 86-101 (2013) - [c12]Natalia Díaz Rodríguez, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores:
Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability. DCAI 2013: 45-52 - [c11]Natalia Díaz Rodríguez, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores:
Rapid prototyping of semantic applications in smart spaces with a visual rule language. UbiComp (Adjunct Publication) 2013: 1335-1338 - [c10]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: 436-441 - [c9]Natalia Díaz Rodríguez, Robin Wikström, Johan Lilius, Manuel Pegalajar Cuéllar, Miguel Delgado Calvo-Flores:
Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors. UCAmI 2013: 254-261 - 2012
- [j7]Derek T. Anderson, María Ros, James M. Keller, Manuel P. Cuéllar, Mihail Popescu, Miguel Delgado, Maria-Amparo Vila:
Similarity measure for anomaly detection and comparing human behaviors. Int. J. Intell. Syst. 27(8): 733-756 (2012) - [j6]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): 6746-6763 (2012) - 2011
- [j5]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): 2260-2270 (2011) - [j4]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): 4181-4189 (2011) - [c8]Manuel P. Cuéllar, María Ros, Miguel Delgado, Maria-Amparo Vila:
An Estimator Update Scheme for Large Teams of Learning Automata. DCAI 2011: 209-216 - [c7]María Ros, Manuel Pegalajar Cuéllar, Miguel Delgado, Maria-Amparo Vila, Derek T. Anderson, James M. Keller, Mihail Popescu:
Linguistic summarization of long-term trends for understanding change in human behavior. FUZZ-IEEE 2011: 2080-2087
2000 – 2009
- 2009
- [j3]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): 9-16 (2009) - [r1]Manuel P. Cuéllar, Miguel Delgado, Maria del Carmen Pegalajar Jiménez:
Multi-Objective Training of Neural Networks. Encyclopedia of Artificial Intelligence 2009: 1152-1158 - 2008
- [j2]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): 381-403 (2008) - 2007
- [c6]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: 204-211 - [c5]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: 359-366 - 2006
- [j1]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): 99-115 (2006) - 2005
- [c4]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: 35-42 - [c3]Manuel P. Cuéllar, Miguel Delgado, Waldo Fajardo, Ramón Pérez-Pérez:
An Information System to Perform Services Remotely from a Web Browser. ICEIS (2) 2005: 91-99 - 2004
- [c2]Manuel P. Cuéllar, Waldo Fajardo, Maria del Carmen Pegalajar Jiménez, Ramón Pérez-Pérez, M. Angeles Gonzales Navarro:
An Adaptable Time-Delay Neural Network to Predict the Spanish Economic Indebtedness. ICEIS (2) 2004: 457-460 - [c1]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: 461-464
Coauthor Index
aka: Miguel Delgado Calvo-Flores
aka: Maria del Carmen Pegalajar
aka: Diego P. Morales-Santos
aka: Luis Gonzaga Baca Ruiz
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last updated on 2024-10-23 21:21 CEST by the dblp team
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