| 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 | 90* | 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 | 53 | 2014 |
| Long-term activity recognition from accelerometer data E Garcia-Ceja, R Brena Procedia Technology 7, 248-256, 2013 | 35 | 2013 |
| 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 | 33 | 2017 |
| 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 | 17 | 2014 |
| 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 | 15 | 2015 |
| 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 51, 1-26, 2018 | 12 | 2018 |
| An improved three-stage classifier for activity recognition E Garcia-Ceja, RF Brena International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018 | 10 | 2018 |
| 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 | 9 | 2018 |
| Activity recognition using community data to complement small amounts of labeled instances E Garcia-Ceja, R Brena Sensors 16 (6), 877, 2016 | 9 | 2016 |
| 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 | 9 | 2014 |
| 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 | 6 | 2012 |
| 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 | 5 | 2018 |
| Contextualized hand gesture recognition with smartphones E Garcia-Ceja, R Brena, CE Galván-Tejada Mexican Conference on Pattern Recognition, 122-131, 2014 | 5 | 2014 |
| 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 | 4 | 2014 |
| 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 | 3 | 2018 |
| A crowdsourcing approach for personalization in human activities recognition RF Brena, E Garcia-Ceja Intelligent Data Analysis 21 (3), 721-738, 2017 | 3 | 2017 |
| User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation E Garcia-Ceja, M Riegler, AK Kvernberg, J Torresen User Modeling and User-Adapted Interaction, 1-29, 2019 | 1 | 2019 |
| Fusion of multiple representations extracted from a single sensor’s data for activity recognition using CNNs FM Noori, E Garcia-Ceja, MZ Uddin, M Riegler, J Tørresen 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 1 | 2019 |
| One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression JI Frogner, FM Noori, P Halvorsen, SA Hicks, E Garcia-Ceja, J Torresen, ... Proceedings of the 4th International Workshop on Multimedia for Personal …, 2019 | | 2019 |
Ramon F. BrenaProfessor of Computer Science, Tecnologico de MonterreyVerified email at tec.mx
