M. Damas - Citegraph

Author Info

Name	Affiliation	Papers
M. DAMAS	Department of Computer Architecture and Computer Technology, Facultad de Ciencias, Campus Universitario Fuentenueva s/n, University of Granada, E-18071 Granada, Spain	64
Collaborators	Citations	PageRank
120	387	33.04
Referers	Referees	References
903	925	541

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100925

Publications (64 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification.	0	0.34	2021
A lexicographic cooperative co-evolutionary approach for feature selection	0	0.34	2021
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification.	0	0.34	2021
Opportunistic Activity Recognition In Iot Sensor Ecosystems Via Multimodal Transfer Learning	0	0.34	2021
Energy-Time Profiling for Machine Learning Methods to EEG Classification.	0	0.34	2021
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification.	0	0.34	2020
Empirical Model of Radio Wave Propagation in the Presence of Vegetation inside Greenhouses Using Regularized Regressions.	0	0.34	2020
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems	0	0.34	2020
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks.	1	0.37	2019
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows.	0	0.34	2019
Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods.	0	0.34	2019
Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach.	1	0.37	2019
SPIRA: an automatic system to support lower limb injury assessment	1	0.37	2019
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI.	6	0.44	2019
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification.	0	0.34	2019
Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures: Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures	0	0.34	2019
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms.	0	0.34	2018
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters.	0	0.34	2018
Intelligent Monitoring of Affective Factors Underlying Sport Performance by Means of Wearable and Mobile Technology.	0	0.34	2018
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters.	0	0.34	2018
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm.	0	0.34	2018
Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers.	0	0.34	2018
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces.	2	0.50	2017
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms.	1	0.37	2017
Automatic 2D Motion Capture System for Joint Angle Measurement.	1	0.40	2017
A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies.	0	0.34	2017
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures	3	0.44	2017
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection.	2	0.40	2017
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification.	5	0.50	2016
First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients	0	0.34	2016
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification.	0	0.34	2016
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition	7	0.48	2015
Multiwindow Fusion for Wearable Activity Recognition.	5	0.41	2015
mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment	6	0.71	2015
On the Development of a Real-Time Multi-sensor Activity Recognition System.	0	0.34	2015
Facilitating trunk endurance assessment by means of mobile health technologies	1	0.38	2015
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications.	47	1.91	2014
Evaluating The Effects Of Signal Segmentation On Activity Recognition	2	0.39	2014
Dealing with the effects of sensor displacement in wearable activity recognition.	31	1.06	2014
Window size impact in human activity recognition.	71	2.10	2014
Physiodroid: An App For Physiological Data Monitoring	1	0.37	2013
Activity recognition based on a multi-sensor meta-classifier	7	0.45	2013
The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming	0	0.34	2013
Human activity recognition based on a sensor weighting hierarchical classifier	28	1.24	2013
Handling Displacement Effects in On-Body Sensor-Based Activity Recognition.	1	0.35	2013
Daily living activity recognition based on statistical feature quality group selection	47	1.49	2012
Detection of (in)activity periods in human body motion using inertial sensors: a comparative study.	15	1.06	2012
A benchmark dataset to evaluate sensor displacement in activity recognition	23	0.92	2012
On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition.	25	0.89	2012
Automatic recognition of daily living activities based on a hierarchical classifier	1	0.39	2011

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