Miguel Damas

According to our database1, Miguel Damas authored at least 48 papers between 2000 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2018
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters.
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018

Prediction of energy consumption in a NSGA-II-based evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures.
Cluster Computing, 2017

A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies.
Proceedings of the Advances in Computational Intelligence, 2017

A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces.
Proceedings of the Advances in Computational Intelligence, 2017

Automatic 2D Motion Capture System for Joint Angle Measurement.
Proceedings of the Advances in Computational Intelligence, 2017

Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients.
Proceedings of the 15th International Conference on Ubiquitous Computing and 8th Communications and International Symposium on Cyberspace Safety and Security, 2016

2015
mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment.
Sensors, 2015

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.
Neural Processing Letters, 2015

Multiwindow Fusion for Wearable Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

On the Development of a Real-Time Multi-sensor Activity Recognition System.
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015

Facilitating trunk endurance assessment by means of mobile health technologies.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition.
Sensors, 2014

Window Size Impact in Human Activity Recognition.
Sensors, 2014

Evaluating the effects of signal segmentation on activity recognition.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

2013
The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming.
IEEE Trans. Education, 2013

Human activity recognition based on a sensor weighting hierarchical classifier.
Soft Comput., 2013

PhysioDroid: an app for physiological data monitoring.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Activity Recognition Based on a Multi-sensor Meta-classifier.
Proceedings of the Advances in Computational Intelligence, 2013

Handling Displacement Effects in On-Body Sensor-Based Activity Recognition.
Proceedings of the Ambient Assisted Living and Active Aging, 2013

2012
Detection of (In)activity Periods in Human Body Motion Using Inertial Sensors: A Comparative Study.
Sensors, 2012

On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition.
Sensors, 2012

Daily living activity recognition based on statistical feature quality group selection.
Expert Syst. Appl., 2012

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities.
Proceedings of the 16th International Symposium on Wearable Computers, 2012

A benchmark dataset to evaluate sensor displacement in activity recognition.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011
Preface to the special issue on: Emerging Applications of Embedded Systems Research.
Journal of Systems Architecture - Embedded Systems Design, 2011

Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier.
Proceedings of the Advances in Computational Intelligence, 2011

Recognition of human physical activity based on a novel hierarchical weighted classification scheme.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2007
Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces.
Proceedings of the Computational and Ambient Intelligence, 2007

Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments.
Proceedings of the Computational and Ambient Intelligence, 2007

2004
Online global learning in direct fuzzy controllers.
IEEE Trans. Fuzzy Systems, 2004

2003
Parallel Computation of an Adaptive Optimal RBF Network Predictor.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002
A two-stage approach to self-learning direct fuzzy controllers.
Int. J. Approx. Reasoning, 2002

2001
HidroBus® system: fieldbus for integrated management of extensive areas of irrigated land.
Microprocessors and Microsystems, 2001

Parallel dynamic water supply scheduling in a cluster of computers.
Concurrency and Computation: Practice and Experience, 2001

A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time.
Proceedings of the Connectionist Models of Neurons, 2001

Hybrid Framework for Neuro-Dynamic Programming Application to Water Supply Networks.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

An Enhanced Self-organizing Controller for Real-time Process-control Applications.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
ANNs and GAs for Predictive Controlling of Water Supply Networks.
IJCNN (4), 2000


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