Miguel Damas

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 42

Top Topics

Feature Selection

Top Venues

GECCO Companion

Publications

Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. IWANN (1) (2023)
Juan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. Computing 105 (11) (2023)
Juan Carlos Gómez-López, Juan José Escobar, Antonio Francisco Díaz, Miguel Damas, Francisco Gil Montoya, Jesús González
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data. GECCO Companion (2022)
Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González
Ant colony optimization for feature selection via a filter-randomized search heuristic. GECCO Companion (2022)
Juan Carlos Gómez-López, Juan José Escobar, Jesús González, Francisco Gil Montoya, Julio Ortega, Mike Burmester, Miguel Damas
Energy-Time Profiling for Machine Learning Methods to EEG Classification. BIOMESIP (2021)
Jesús González, Julio Ortega, Juan José Escobar, Miguel Damas
A lexicographic cooperative co-evolutionary approach for feature selection. Neurocomputing 463 (2021)
Salvador Moreno-Gutierrez, Paula Postigo-Martin, Miguel Damas, Héctor Pomares, Oresti Banos, Manuel Arroyo Morales, Irene Cantarero-Villanueva
ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer. IEEE Access 9 (2021)
Alberto Ortega, Juan José Escobar, Julio Ortega, Jesús González, Alfredo Alcayde, Jorge Munilla, Miguel Damas
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification. BIOMESIP (2021)
Oresti Banos, Alberto Calatroni, Miguel Damas, Héctor Pomares, Daniel Roggen, Ignacio Rojas, Claudia Villalonga
Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning. Neural Process. Lett. 53 (5) (2021)
Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP (2021)
Dora Cama-Pinto, Miguel Damas, Juan Antonio Holgado Terriza, Francisco Manuel Arrabal-Campos, Francisco Gómez-Mula, Juan Antonio Martínez Martínez-Lao, Alejandro Cama-Pinto
Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions. Sensors 20 (22) (2020)
Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS (2020)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. GECCO Companion (2020)
Oresti Banos, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows. IWANN (1) (2019)
Carlos Bailon, Miguel Damas, Héctor Pomares, Daniel Sanabria, Pandelis Perakakis, Carmen Goicoechea, Oresti Banos
Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods. Sensors 19 (15) (2019)
Jesús González, Julio Ortega Lopera, Miguel Damas, Pedro Martín-Smith
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach. IWANN (2) (2019)
Carlos Bailon, Miguel Damas, Héctor Pomares, Oresti Banos
SPIRA: an automatic system to support lower limb injury assessment. J. Ambient Intell. Humaniz. Comput. 10 (6) (2019)
Juan José Escobar, Julio Ortega Lopera, Antonio Francisco Díaz, Jesús González, Miguel Damas
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures. Concurr. Comput. Pract. Exp. 31 (6) (2019)
Juan José Escobar, Julio Ortega, Antonio F. Díaz, Jesús González, Miguel Damas
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks. J. Supercomput. 75 (7) (2019)
Jesús González, Julio Ortega, Miguel Damas, Pedro Martín-Smith, John Q. Gan
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI. Neurocomputing 333 (2019)
Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. IWANN (2) (2019)
Salvador Moreno, Julio Ortega, Miguel Damas, Antonio F. Díaz, Jesús González, Héctor Pomares
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm. GECCO (Companion) (2018)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms. J. Comput. Biol. 25 (8) (2018)
Carlos Bailon, Miguel Damas, Héctor Pomares, Daniel Sanabria, Pandelis Perakakis, Carmen Goicoechea, Oresti Baños
Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology. UCAmI (2018)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters. PBio@EuroMPI (2018)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. GECCO (Companion) (2018)
Salvador Moreno, Miguel Damas, Ignacio Rojas, Victor Amezcua, Pilar Gutierrez-Pastor, Oresti Baños
Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers. UCAmI (2018)
Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) (2017)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Beatriz Prieto
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. EvoApplications (1) (2017)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Antonio F. Díaz
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures. Clust. Comput. 20 (3) (2017)
Carlos Bailon, Miguel Damas, Héctor Pomares, Oresti Baños
Automatic 2D Motion Capture System for Joint Angle Measurement. IWANN (2) (2017)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms. ICA3PP (2017)
Ignacio Diaz Reyes, Miguel Damas, José Antonio Moral-Muñoz, Oresti Baños
A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies. IWANN (2) (2017)
Carlos Bailon, Miguel Damas, Héctor Pomares, Oresti Baños
First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video. UCAmI (1) (2016)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. IWBBIO (2016)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification. Euro-Par Workshops (2016)
Salvador Moreno, Miguel Damas, Héctor Pomares, José Antonio Moral-Muñoz, Oresti Baños
First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients. IUCC-CSS (2016)
Oresti Baños, Jae Hun Bang, Dong Uk Kang, Choong Seon Hong, Sungyoung Lee, José Antonio Moral-Muñoz, Miguel Damas, Ignacio Diaz Reyes, Héctor Pomares, Ignacio Rojas, Claudia Villalonga, Manuel Arroyo Morales
Facilitating trunk endurance assessment by means of mobile health technologies. UbiComp/ISWC Adjunct (2015)
Oresti Baños, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition. Neural Process. Lett. 42 (1) (2015)
Oresti Banos, José Antonio Moral-Muñoz, Ignacio Diaz Reyes, Manuel Arroyo Morales, Miguel Damas, Enrique Herrera-Viedma, Choong Seon Hong, Sungyong Lee, Héctor Pomares, Ignacio Rojas, Claudia Villalonga
mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment. Sensors 15 (6) (2015)
Oresti Banos, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga, Sungyoung Lee
On the Development of a Real-Time Multi-sensor Activity Recognition System. IWAAL (2015)
Oresti Baños, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas Ruiz, Claudia Villalonga, Choong Seon Hong, Sungyoung Lee
Multiwindow Fusion for Wearable Activity Recognition. IWANN (2) (2015)
Oresti Baños, Rafael García, Juan Antonio Holgado Terriza, Miguel Damas, Héctor Pomares, Ignacio Rojas Ruiz, Alejandro Saez, Claudia Villalonga
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications. IWAAL (2014)
Oresti Baños, Juan Manuel Galvez, Miguel Damas, Héctor Pomares, Ignacio Rojas
Window Size Impact in Human Activity Recognition. Sensors 14 (4) (2014)
Oresti Baños, Máté Attila Tóth, Miguel Damas, Héctor Pomares, Ignacio Rojas
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition. Sensors 14 (6) (2014)
Oresti Baños, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Evaluating the effects of signal segmentation on activity recognition. IWBBIO (2014)
Jesús González, Héctor Pomares, Miguel Damas, Pablo García-Sánchez, Manuel Rodriguez-Alvarez, José M. Palomares
The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming. IEEE Trans. Educ. 56 (2) (2013)
Oresti Baños, Miguel Damas, Peter Gloessekoetter, Andreas Hermes, Hendrik Mende, Héctor Pomares, Ignacio Rojas
PhysioDroid: an app for physiological data monitoring. IWBBIO (2013)
Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas
Handling Displacement Effects in On-Body Sensor-Based Activity Recognition. IWAAL (2013)
Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas
Activity Recognition Based on a Multi-sensor Meta-classifier. IWANN (2) (2013)
Oresti Baños, Miguel Damas, Héctor Pomares, Fernando Rojas, Blanca L. Delgado-Márquez, Olga Valenzuela
Human activity recognition based on a sensor weighting hierarchical classifier. Soft Comput. 17 (2) (2013)
Oresti Baños, Miguel Damas, Héctor Pomares, Alberto Prieto, Ignacio Rojas
Daily living activity recognition based on statistical feature quality group selection. Expert Syst. Appl. 39 (9) (2012)
Alberto Olivares, Javier Ramírez, Juan Manuel Górriz, Gonzalo Olivares, Miguel Damas
Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study. Sensors 12 (5) (2012)
Oresti Baños, Alberto Calatroni, Miguel Damas, Héctor Pomares, Ignacio Rojas, Hesam Sagha, José del R. Millán, Gerhard Tröster, Ricardo Chavarriaga, Daniel Roggen
Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities. ISWC (2012)
Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas
On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition. Sensors 12 (6) (2012)
Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas, Máté Attila Tóth, Oliver Amft
A benchmark dataset to evaluate sensor displacement in activity recognition. UbiComp (2012)
Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas
Recognition of human physical activity based on a novel hierarchical weighted classification scheme. IJCNN (2011)
Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas
Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier. IWANN (2) (2011)
Jesús González, Miguel Damas, Javier Díaz, Pedro A. Castillo
Preface to the special issue on: Emerging Applications of Embedded Systems Research. J. Syst. Archit. 57 (10) (2011)
Miguel Ángel López, Héctor Pomares, Miguel Damas, Eduardo Madrid, Alberto Prieto, Francisco J. Pelayo, Eva María de la Plaza Hernández
Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces. IWANN (2007)
Miguel Ángel López, Héctor Pomares, Miguel Damas, Alberto Prieto, Eva María de la Plaza Hernández
Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces. IWINAC (1) (2007)
Miguel Ángel López, Héctor Pomares, Miguel Damas, Antonio Díaz Estrella, Alberto Prieto, Francisco J. Pelayo, Eva María de la Plaza Hernández
Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments. IWANN (2007)
Héctor Pomares, Ignacio Rojas Ruiz, Jesús González, Miguel Damas, Begoña Pino, Alberto Prieto
Online global learning in direct fuzzy controllers. IEEE Trans. Fuzzy Syst. 12 (2) (2004)
Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Miguel Damas
Parallel Computation of an Adaptive Optimal RBF Network Predictor. IWANN (2) (2003)
Héctor Pomares, Ignacio Rojas, Jesús González, Fernando Rojas, Miguel Damas, F. J. Fernández
A two-stage approach to self-learning direct fuzzy controllers. Int. J. Approx. Reason. 29 (3) (2002)
Miguel Damas, A. M. Prados, F. Gómez, Gonzalo Olivares
system: fieldbus for integrated management of extensive areas of irrigated land. Microprocess. Microsystems 25 (3) (2001)
Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas
A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time. IWANN (1) (2001)
Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas, Alberto Prieto
Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm. FUZZ-IEEE (2001)
Héctor Pomares, Ignacio Rojas, Jesús González, Miguel Damas, Alberto Prieto
An Enhanced Self-organizing Controller for Real-time Process-control Applications. FUZZ-IEEE (2001)
Miguel Damas, Moisés Salmerón, Julio Ortega Lopera, Gonzalo Olivares
Hybrid Framework for Neuro-Dynamic Programming Application to Water Supply Networks. IWANN (2) (2001)
Miguel Damas, Moisés Salmerón, Julio Ortega Lopera, Gonzalo Olivares, Héctor Pomares
Parallel dynamic water supply scheduling in a cluster of computers. Concurr. Comput. Pract. Exp. 13 (15) (2001)
Miguel Damas, Moisés Salmerón, Antonio F. Díaz, J. Ortega, Alberto Prieto, Gonzalo Olivares
Genetic algorithms and neuro-dynamic programming: application to water supply networks. CEC (2000)
Miguel Damas, Moisés Salmerón, Julio Ortega
ANNs and GAs for Predictive Controlling of Water Supply Networks. IJCNN (4) (2000)