Enrique Garcia-Ceja

发表

Multi-view stacking for activity recognition with sound and accelerometer data

Ramón F. Brena, Carlos Eric Galván-Tejada, Enrique Garcia-Ceja, 2018, Inf. Fusion.

Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition

Jim Tørresen, Enrique Garcia-Ceja, Md. Zia Uddin, 2018, ANT/SEIT.

A crowdsourcing approach for personalization in human activities recognition

Ramón F. Brena, Enrique Garcia-Ceja, R. Brena, 2017, Intell. Data Anal..

Long-Term Activity Recognition from Accelerometer Data

Ramón F. Brena, Enrique Garcia-Ceja, R. Brena, 2013 .

User Recognition Based on Daily Actigraphy Patterns

Brice Morin, Enrique Garcia-Ceja, Brice Morin, 2019, IFIPTM.

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data

Brice Morin, Michael Alexander Riegler, Enrique Garcia-Ceja, 2020, Journal of Medical Systems.

User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation

Jim Torresen, Enrique Garcia-Ceja, Michael Riegler, 2019, User Modeling and User-Adapted Interaction.

Long-Term Activity Recognition from Wristwatch Accelerometer Data

Ramón F. Brena, Leonardo Garrido, Enrique Garcia-Ceja, 2014, Sensors.

Amplifying Integration Tests with CAMP

Enrique Garcia-Ceja, Franck Chauvel, Brice Morin, 2019, 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE).

Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients

Michael Riegler, Jim Tørresen, Ole Bernt Fasmer, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

Evaluation of Four Classifiers as Cost Function for Indoor Location Systems

Ramón F. Brena, Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, 2014, ANT/SEIT.

CAMP: A tool to amplify software configuration tests

Enrique Garcia-Ceja, Franck Chauvel, Brice Morin, 2020, Softw. Impacts.

Contextualized Hand Gesture Recognition with Smartphones

Ramón F. Brena, Carlos Eric Galván-Tejada, Enrique Garcia-Ceja, 2014, MCPR.

Long-term Activities Segmentation using Viterbi Algorithm with a k-minimum-consecutive-states Constraint

Ramón F. Brena, Enrique Garcia-Ceja, 2014, ANT/SEIT.

Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients

Michael Riegler, Jim Tørresen, Ole Bernt Fasmer, 2018, MMSys.

A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process

Øystein Haugen, Åsmund Hugo, Enrique Garcia-Ceja, 2020, 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS).

Activity Recognition Using Community Data to Complement Small Amounts of Labeled Instances

Ramón F. Brena, Enrique Garcia-Ceja, R. Brena, 2016, Sensors.

Optimization of a Chemical Process with Soft-Sensing Technologies

Brice Morin, Åsmund Hugo, Enrique Garcia-Ceja, 2020, ERCIM News.

Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces

Oscar Mayora-Ibarra, Alban Maxhuni, Venet Osmani, 2014, AmI.

Building Personalized Activity Recognition Models with Scarce Labeled Data Based on Class Similarities

Ramón F. Brena, Enrique Garcia-Ceja, R. Brena, 2015, UCAmI.

Fusion of Multiple Representations Extracted from a Single Sensor’s Data for Activity Recognition Using CNNs

Michael Riegler, Jim Tørresen, Enrique Garcia-Ceja, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

An Improved Three-Stage Classifier for Activity Recognition

Ramón F. Brena, Enrique Garcia-Ceja, R. Brena, 2018, Int. J. Pattern Recognit. Artif. Intell..

Mental health monitoring with multimodal sensing and machine learning: A survey

Michael Riegler, Jim Tørresen, Enrique Garcia-Ceja, 2018, Pervasive Mob. Comput..

Automatic Stress Detection in Working Environments From Smartphones’ Accelerometer Data: A First Step

Oscar Mayora-Ibarra, Venet Osmani, Enrique Garcia-Ceja, 2015, IEEE Journal of Biomedical and Health Informatics.

Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement

Enrique Garcia-Ceja, Costas Boletsis, Ragnhild Halvorsrud, 2021, 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS).

On The Reliability Of Machine Learning Applications In Manufacturing Environments pdf

Joachim Metternich, Enrique Garcia-Ceja, Tobias Biegel, 2021, ArXiv.

A Systematic Mapping Study on Approaches for Al-Supported Security Risk Assessment

Gencer Erdogan, Phu H. Nguyen, Åsmund Hugo, 2021, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).