Enrique Garcia-Ceja
Enrique Garcia-Ceja
Research Scientist, SINTEF
Dirección de correo verificada de sintef.no - Página principal
TítuloCitado porAño
Automatic stress detection in working environments from smartphones’ accelerometer data: a first step
E Ceja, V Osmani, O Mayora
IEEE Journal of Biomedical and Health Informatics 20 (4), 1053-1060, 2016
81*2016
Long-term activity recognition from wristwatch accelerometer data
E Garcia-Ceja, R Brena, J Carrasco-Jimenez, L Garrido
Sensors 14 (12), 22500-22524, 2014
462014
Long-term activity recognition from accelerometer data
E Garcia-Ceja, R Brena
Procedia Technology 7, 248-256, 2013
342013
Multi-View Stacking for Activity Recognition with Sound and Accelerometer Data
E Garcia-Ceja, CE Galván-Tejada, R Brena
Information Fusion 40, 45 - 56, 2017
282017
Evaluation of four classifiers as cost function for indoor location systems
CE Galván-Tejada, JP García-Vázquez, E García-Ceja, ...
Procedia Computer Science 32, 453-460, 2014
162014
Building personalized activity recognition models with scarce labeled data based on class similarities
E Garcia-Ceja, R Brena
International conference on ubiquitous computing and ambient intelligence …, 2015
132015
Detecting Walking in Synchrony through Smartphone Accelerometer and Wi-Fi traces
E Garcia-Ceja, V Osmani, A Maxhuni, O Mayora
European Conference, AmI 2014 8850, 33-46, 2014
92014
Activity recognition using community data to complement small amounts of labeled instances
E Garcia-Ceja, R Brena
Sensors 16 (6), 877, 2016
72016
Mental health monitoring with multimodal sensing and machine learning: A survey
E Garcia-Ceja, M Riegler, T Nordgreen, P Jakobsen, KJ Oedegaard, ...
Pervasive and Mobile Computing, 2018
62018
An improved three-stage classifier for activity recognition
E Garcia-Ceja, RF Brena
International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018
62018
Classification of recurrence plots’ distance matrices with a convolutional neural network for activity recognition
E Garcia-Ceja, MZ Uddin, J Torresen
Procedia computer science 130, 157-163, 2018
62018
Real Time Activity Recognition Using a Cell Phone’s Accelerometer and Wi-Fi
E Garcia-Ceja, R Brena
Workshop Proceedings of the 8th International Conference on Intelligent …, 2012
62012
Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients
E Garcia-Ceja, M Riegler, P Jakobsen, J Tørresen, T Nordgreen, ...
Proceedings of the 9th ACM Multimedia Systems Conference, 472-477, 2018
52018
Contextualized hand gesture recognition with smartphones
E Garcia-Ceja, R Brena, CE Galván-Tejada
Mexican Conference on Pattern Recognition, 122-131, 2014
52014
Long-term Activities Segmentation using Viterbi Algorithm with a k-minimum-consecutive-states Constraint
E Garcia-Ceja, R Brena
Procedia Computer Science 32, 553-560, 2014
42014
Motor activity based classification of depression in unipolar and bipolar patients
E Garcia-Ceja, M Riegler, P Jakobsen, J Torresen, T Nordgreen, ...
2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018
32018
A crowdsourcing approach for personalization in human activities recognition
RF Brena, E Garcia-Ceja
Intelligent Data Analysis 21 (3), 721-738, 2017
32017
The detecting and predicting mood transitions in bipolar disorder study protocol (a sub-study of the Introducing Mental Health through Adaptive Technology (INTROMAT) project)
P Jakobsen, OB Fasmer, M Riegler, E Garcia-Ceja, TEG Henriksen, ...
BIPOLAR DISORDERS 21, 68-69, 2019
2019
ssr: Semi-Supervised Regression Methods. An R package
E Garcia-Ceja
https://cran.r-project.org/web/packages/ssr/index.html, 2019
2019
User Recognition Based on Daily Actigraphy Patterns
E Garcia-Ceja, B Morin
International Conference on Trust Management (IFIPTM), 2019
2019
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Artículos 1–20