Enrique Garcia-Ceja
Enrique Garcia-Ceja
Tecnologico de Monterrey
Verified email at - Homepage
Cited by
Cited by
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
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
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
Kvasir-Capsule, a video capsule endoscopy dataset
PH Smedsrud, V Thambawita, SA Hicks, H Gjestang, OO Nedrejord, ...
Scientific Data 8 (1), 142, 2021
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
Long-term activity recognition from wristwatch accelerometer data
E Garcia-Ceja, RF Brena, JC Carrasco-Jimenez, L Garrido
Sensors 14 (12), 22500-22524, 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
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
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
Long-term activity recognition from accelerometer data
E Garcia-Ceja, R Brena
Procedia Technology 7, 248-256, 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
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
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
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
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
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 (3), 365-393, 2020
An improved three-stage classifier for activity recognition
E Garcia-Ceja, RF Brena
International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018
Activity recognition using community data to complement small amounts of labeled instances
E Garcia-Ceja, RF Brena
Sensors 16 (6), 877, 2016
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
Frameworks for data-driven quality management in cyber-physical systems for manufacturing: A systematic review
BB Cassoli, N Jourdan, PH Nguyen, S Sen, E Garcia-Ceja, J Metternich
Procedia CIRP 112, 567-572, 2022
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