Enrique Garcia-Ceja

According to our database, Enrique Garcia-Ceja authored at least 37 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-View Conformal Learning for Heterogeneous Sensor Fusion.

Enrique Garcia-Ceja

CoRR, 2024

2023

A Criminologist's Guide to R: Crime by the NumbersJacob Kaplan, Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 432 pp., ISBN 9781032244075.

Enrique Garcia-Ceja

Technometrics, October, 2023

Conformal Prediction in Multi-User Settings: An Evaluation.

Enrique Garcia-Ceja, Luciano García-Bañuelos, Nicolas Jourdan

CoRR, 2023

ProAmbitIon: Online Process Conformance Checking with Ambiguities Driven by the Internet of Things.

Marco Franceschetti, Ronny Seiger, Mauricio Jacobo González González, Enrique Garcia-Ceja, Luis Armando Rodriguez Flores, Luciano García-Bañuelos, Barbara Weber

Proceedings of the Research Projects Exhibition Papers Presented at the 35th International Conference on Advanced Information Systems Engineering (CAiSE 2023), 2023

2021

Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains.

Erik Molino-Minero-Re, Antonio A. Aguileta, Ramón F. Brena, Enrique Garcia-Ceja

Sensors, 2021

On The Reliability Of Machine Learning Applications In Manufacturing Environments.

Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich

CoRR, 2021

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

Ragnhild Halvorsrud, Costas Boletsis, Enrique Garcia-Ceja

Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021

Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy.

Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features.

Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

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

Gencer Erdogan, Enrique Garcia-Ceja, Åsmund Hugo, Phu Hong Nguyen, Sagar Sen

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

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

Enrique Garcia-Ceja, Michael Riegler, Anders K. Kvernberg, Jim Tørresen

User Model. User Adapt. Interact., 2020

CAMP: A tool to amplify software configuration tests.

Franck Chauvel, Brice Morin, Enrique Garcia-Ceja

Softw. Impacts, 2020

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

Enrique Garcia-Ceja, Brice Morin, Anton Aguilar-Rivera, Michael Alexander Riegler

J. Medical Syst., 2020

Optimization of a Chemical Process with Soft-Sensing Technologies.

Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen

ERCIM News, 2020

Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros.

Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo Lewi Hammer, Mathias Lux, Michael Alexander Riegler, Steven Alexander Hicks

Proceedings of the 11th ACM Multimedia Systems Conference, 2020

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

Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen

Proceedings of the IEEE Conference on Industrial Cyberphysical Systems, 2020

PSYKOSE: A Motor Activity Database of Patients with Schizophrenia.

Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil J. Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, Michael Alexander Riegler

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression.

Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler

Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care, 2019

Amplifying Integration Tests with CAMP.

Franck Chauvel, Brice Morin, Enrique Garcia-Ceja

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

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

Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen

Proceedings of the International Joint Conference on Neural Networks, 2019

User Recognition Based on Daily Actigraphy Patterns.

Enrique Garcia-Ceja, Brice Morin

Proceedings of the Trust Management XIII - 13th IFIP WG 11.11 International Conference, 2019

Towards the Automation of a Chemical Sulphonation Process with Machine Learning.

Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen

Proceedings of the 7th International Conference on Control, Mechatronics and Automation, 2019

2018

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

Enrique Garcia-Ceja, Michael Riegler, Tine Nordgreen, Petter Jakobsen, Ketil J. Oedegaard, Jim Tørresen

Pervasive Mob. Comput., 2018

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

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

Inf. Fusion, 2018

An Improved Three-Stage Classifier for Activity Recognition.

Enrique Garcia-Ceja, Ramón F. Brena

Int. J. Pattern Recognit. Artif. Intell., 2018

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

Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients.

Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

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

Enrique Garcia-Ceja, Md. Zia Uddin, Jim Tørresen

Proceedings of the 9th International Conference on Ambient Systems, 2018

2017

A crowdsourcing approach for personalization in human activities recognition.

Ramón F. Brena, Enrique Garcia-Ceja

Intell. Data Anal., 2017

2016

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

Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora

IEEE J. Biomed. Health Informatics, 2016

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

Enrique Garcia-Ceja, Ramón F. Brena

Sensors, 2016

2015

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

Enrique Garcia-Ceja, Ramón F. Brena

Proceedings of the Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015

2014

Long-Term Activity Recognition from Wristwatch Accelerometer Data.

Enrique Garcia-Ceja, Ramón F. Brena, José C. Carrasco-Jiménez, Leonardo Garrido

Sensors, 2014

Contextualized Hand Gesture Recognition with Smartphones.

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

Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

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

Enrique Garcia-Ceja, Ramón F. Brena

Proceedings of the 5th International Conference on Ambient Systems, 2014

Evaluation of Four Classifiers as Cost Function for Indoor Location Systems.

Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Enrique Garcia-Ceja, José C. Carrasco-Jiménez, Ramón F. Brena

Proceedings of the 5th International Conference on Ambient Systems, 2014

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

Enrique Garcia-Ceja, Venet Osmani, Alban Maxhuni, Oscar Mayora

Proceedings of the Ambient Intelligence, European Conference, 2014