| 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 | 268* | 2016 |
| HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy H Borgli, V Thambawita, PH Smedsrud, S Hicks, D Jha, SL Eskeland, ... Scientific data 7 (1), 283, 2020 | 258 | 2020 |
| 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 | 247 | 2018 |
| 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 | 117 | 2017 |
| Kvasir-Capsule, a video capsule endoscopy dataset PH Smedsrud, V Thambawita, SA Hicks, H Gjestang, OO Nedrejord, ... Scientific Data 8 (1), 142, 2021 | 98 | 2021 |
| Long-term activity recognition from wristwatch accelerometer data E Garcia-Ceja, RF Brena, JC Carrasco-Jimenez, L Garrido Sensors 14 (12), 22500-22524, 2014 | 89 | 2014 |
| 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 | 76 | 2018 |
| Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy D Jha, S Ali, K Emanuelsen, SA Hicks, V Thambawita, E Garcia-Ceja, ... MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech …, 2021 | 75 | 2021 |
| 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 | 66 | 2018 |
| Long-term activity recognition from accelerometer data E Garcia-Ceja, R Brena Procedia Technology 7, 248-256, 2013 | 50 | 2013 |
| Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls P Jakobsen, E Garcia-Ceja, M Riegler, LA Stabell, T Nordgreen, ... Plos one 15 (8), e0231995, 2020 | 41 | 2020 |
| 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 | 37 | 2018 |
| Building personalized activity recognition models with scarce labeled data based on class similarities E Garcia-Ceja, R Brena Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and …, 2015 | 36 | 2015 |
| 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 30, 365-393, 2020 | 26 | 2020 |
| 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 | 26 | 2019 |
| Psykose: A motor activity database of patients with schizophrenia P Jakobsen, E Garcia-Ceja, LA Stabell, KJ Oedegaard, JO Berle, ... 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 23 | 2020 |
| 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 | 20 | 2014 |
| Activity recognition using community data to complement small amounts of labeled instances E Garcia-Ceja, RF Brena Sensors 16 (6), 877, 2016 | 19 | 2016 |
| An improved three-stage classifier for activity recognition E Garcia-Ceja, RF Brena International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018 | 18 | 2018 |
| A crowdsourcing approach for personalization in human activities recognition RF Brena, E Garcia-Ceja Intelligent Data Analysis 21 (3), 721-738, 2017 | 15 | 2017 |
Michael Alexander RieglerSimula Research Laboratory, Oslo Metropolitan University (OsloMet), University of TromsøVerified email at simula.no
