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Miguel Damas
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2020 – today
- 2023
- [j26]Juan José Escobar
, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters. Computing 105(11): 2487-2510 (2023) - [c47]Juan José Escobar
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. IWANN (1) 2023: 505-516 - 2022
- [c46]Alberto Ortega
Ant colony optimization for feature selection via a filter-randomized search heuristic. GECCO Companion 2022: 85-88 - [c45]Juan Carlos Gómez-López
Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data. GECCO Companion 2022: 431-434 - [d5]Carlos Bailon
savindi-wijenayaka/test. Zenodo, 2022 - [d4]Salvador Moreno-Gutierrez
ATOPE+Breast, Continuous Monitoring of Training Load in Patients with Breast Cancer during Therapeutic Exercise Intervention. Zenodo, 2022 - 2021
- [j25]Salvador Moreno-Gutierrez
ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer. IEEE Access 9: 16878-16898 (2021) - [j24]Jesús González
A lexicographic cooperative co-evolutionary approach for feature selection. Neurocomputing 463: 59-76 (2021) - [j23]Oresti Banos
Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning. Neural Process. Lett. 53(5): 3169-3197 (2021) - [c44]Javier León
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP 2021: 297-310 - [c43]Juan Carlos Gómez-López
Energy-Time Profiling for Machine Learning Methods to EEG Classification. BIOMESIP 2021: 311-322 - [c42]Alberto Ortega
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification. BIOMESIP 2021: 323-336 - 2020
- [j22]Dora Cama-Pinto
Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions. Sensors 20(22): 6621 (2020) - [c41]Juan José Escobar
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. GECCO Companion 2020: 211-212 - [c40]Javier León, Andrés Ortiz
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS 2020: 774-785 - [d3]Carlos Bailon
The CoVidAffect dataset of mood variations following the COVID-19 outbreak. Zenodo, 2020 - [d2]Carlos Bailon
The CoVidAffect dataset of mood variations following the COVID-19 outbreak in Spain. Zenodo, 2020 - [d1]Carlos Bailon
The CoVidAffect dataset of mood variations following the COVID-19 outbreak in Spain. Zenodo, 2020
2010 – 2019
- 2019
- [j21]Juan José Escobar
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j20]Jesús González
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI. Neurocomputing 333: 407-418 (2019) - [j19]Carlos Bailon
SPIRA: an automatic system to support lower limb injury assessment. J. Ambient Intell. Humaniz. Comput. 10(6): 2111-2123 (2019) - [j18]Carlos Bailon
Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods. Sensors 19(15): 3430 (2019) - [j17]Juan José Escobar
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks. J. Supercomput. 75(7): 3397-3425 (2019) - [c39]Oresti Banos
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows. IWANN (1) 2019: 360-367 - [c38]Jesús González
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach. IWANN (2) 2019: 463-474 - [c37]Juan José Escobar
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. IWANN (2) 2019: 895-907 - 2018
- [j16]Juan José Escobar
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms. J. Comput. Biol. 25(8): 882-893 (2018) - [c36]Salvador Moreno
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm. GECCO (Companion) 2018: 239-240 - [c35]Juan José Escobar
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. GECCO (Companion) 2018: 1862-1869 - [c34]Juan José Escobar
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters. PBio@EuroMPI 2018: 33-43 - [c33]Carlos Bailon
Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology. UCAmI 2018: 1202 - [c32]Salvador Moreno
Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers. UCAmI 2018: 1204 - 2017
- [j15]Juan José Escobar
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures. Clust. Comput. 20(3): 1881-1897 (2017) - [c31]Juan José Escobar
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. EvoApplications (1) 2017: 773-788 - [c30]Juan José Escobar
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms. ICA3PP 2017: 580-590 - [c29]Julio Ortega, Dragi Kimovski
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) 2017: 16-27 - [c28]Carlos Bailon
Automatic 2D Motion Capture System for Joint Angle Measurement. IWANN (2) 2017: 71-81 - [c27]Ignacio Diaz Reyes, Miguel Damas
A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies. IWANN (2) 2017: 709-721 - 2016
- [c26]Salvador Moreno
First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients. IUCC-CSS 2016: 116-123 - [c25]Juan José Escobar
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification. Euro-Par Workshops 2016: 372-383 - [c24]Juan José Escobar
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. IWBBIO 2016: 277-289 - [c23]Carlos Bailon
First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video. UCAmI (1) 2016: 44-55 - 2015
- [j14]Oresti Baños
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition. Neural Process. Lett. 42(1): 5-26 (2015) - [j13]Oresti Banos
mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment. Sensors 15(6): 13159-13183 (2015) - [c22]Oresti Baños
Facilitating trunk endurance assessment by means of mobile health technologies. UbiComp/ISWC Adjunct 2015: 149-152 - [c21]Oresti Banos
On the Development of a Real-Time Multi-sensor Activity Recognition System. IWAAL 2015: 176-182 - [c20]Oresti Baños
Multiwindow Fusion for Wearable Activity Recognition. IWANN (2) 2015: 290-297 - 2014
- [j12]Oresti Baños
Window Size Impact in Human Activity Recognition. Sensors 14(4): 6474-6499 (2014) - [j11]Oresti Baños
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition. Sensors 14(6): 9995-10023 (2014) - [c19]Oresti Baños
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications. IWAAL 2014: 91-98 - [c18]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: 759-765 - 2013
- [j10]Oresti Baños
Human activity recognition based on a sensor weighting hierarchical classifier. Soft Comput. 17(2): 333-343 (2013) - [j9]Jesús González
The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming. IEEE Trans. Educ. 56(2): 199-207 (2013) - [c17]Oresti Baños
Handling Displacement Effects in On-Body Sensor-Based Activity Recognition. IWAAL 2013: 80-87 - [c16]Oresti Baños
Activity Recognition Based on a Multi-sensor Meta-classifier. IWANN (2) 2013: 208-215 - [c15]Oresti Baños, Miguel Damas, Peter Gloessekoetter, Andreas Hermes, Hendrik Mende, Héctor Pomares, Ignacio Rojas:
PhysioDroid: an app for physiological data monitoring. IWBBIO 2013: 297-304 - 2012
- [j8]Oresti Baños
Daily living activity recognition based on statistical feature quality group selection. Expert Syst. Appl. 39(9): 8013-8021 (2012) - [j7]Alberto Olivares
Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study. Sensors 12(5): 5791-5814 (2012) - [j6]Oresti Baños
On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition. Sensors 12(6): 8039-8054 (2012) - [c14]Oresti Baños
A benchmark dataset to evaluate sensor displacement in activity recognition. UbiComp 2012: 1026-1035 - [c13]Oresti Baños
Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities. ISWC 2012: 92-99 - 2011
- [j5]Jesús González
Preface to the special issue on: Emerging Applications of Embedded Systems Research. J. Syst. Archit. 57(10): 867-868 (2011) - [c12]Oresti Baños
Recognition of human physical activity based on a novel hierarchical weighted classification scheme. IJCNN 2011: 2205-2209 - [c11]Oresti Baños
Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier. IWANN (2) 2011: 185-193
2000 – 2009
- 2007
- [c10]Miguel Ángel López, Héctor Pomares, Miguel Damas
Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments. IWANN 2007: 170-177 - [c9]Miguel Ángel López, Héctor Pomares, Miguel Damas
Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces. IWANN 2007: 956-963 - [c8]Miguel Ángel López, Héctor Pomares, Miguel Damas
Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces. IWINAC (1) 2007: 407-415 - 2004
- [j4]Héctor Pomares
Online global learning in direct fuzzy controllers. IEEE Trans. Fuzzy Syst. 12(2): 218-229 (2004) - 2003
- [c7]Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Miguel Damas
Parallel Computation of an Adaptive Optimal RBF Network Predictor. IWANN (2) 2003: 425-432 - 2002
- [j3]Héctor Pomares
A two-stage approach to self-learning direct fuzzy controllers. Int. J. Approx. Reason. 29(3): 267-289 (2002) - 2001
- [j2]Miguel Damas
Parallel dynamic water supply scheduling in a cluster of computers. Concurr. Comput. Pract. Exp. 13(15): 1281-1302 (2001) - [j1]Miguel Damas
HidroBus® system: fieldbus for integrated management of extensive areas of irrigated land. Microprocess. Microsystems 25(3): 177-184 (2001) - [c6]Héctor Pomares, Ignacio Rojas, Jesús González
An Enhanced Self-organizing Controller for Real-time Process-control Applications. FUZZ-IEEE 2001: 856-859 - [c5]Héctor Pomares, Ignacio Rojas, Jesús González
Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm. FUZZ-IEEE 2001: 1479-1482 - [c4]Héctor Pomares, Ignacio Rojas, Jesús González
A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time. IWANN (1) 2001: 530-537 - [c3]Miguel Damas
Hybrid Framework for Neuro-Dynamic Programming Application to Water Supply Networks. IWANN (2) 2001: 719-727 - 2000
- [c2]Miguel Damas
Genetic algorithms and neuro-dynamic programming: application to water supply networks. CEC 2000: 7-14 - [c1]Miguel Damas, Moisés Salmerón, Julio Ortega:
ANNs and GAs for Predictive Controlling of Water Supply Networks. IJCNN (4) 2000: 365-372
Coauthor Index
Oresti Baños
aka: Oresti Banos
aka: Oresti Banos
Antonio F. Díaz
aka: Antonio Francisco Díaz
aka: Antonio Francisco Díaz
Julio Ortega 0001
aka: Julio Ortega Lopera
aka: Julio Ortega Lopera
Ignacio Rojas
aka: Ignacio Rojas Ruiz
aka: Ignacio Rojas Ruiz
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