Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces. - Enrique Garcia-Ceja; Venet Osmani; Alban Maxhuni; Oscar Mayora (AmI, 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 (ANT/SEIT, 2014)

Long-term Activities Segmentation using Viterbi Algorithm with a k-minimum-consecutive-states Constraint. - Enrique Garcia-Ceja; Ramón F. Brena (ANT/SEIT, 2014)

Contextualized Hand Gesture Recognition with Smartphones. - Enrique Garcia-Ceja; Ramón F. Brena; Carlos Eric Galván-Tejada (MCPR, 2014)

Long-Term Activity Recognition from Wristwatch Accelerometer Data. - Enrique Garcia-Ceja; Ramón F. Brena; José C. Carrasco-Jiménez; Leonardo Garrido (Sensors, 2014)

Building Personalized Activity Recognition Models with Scarce Labeled Data Based on Class Similarities. - Enrique Garcia-Ceja; Ramón F. Brena (UCAmI, 2015)

Activity Recognition Using Community Data to Complement Small Amounts of Labeled Instances. - Enrique Garcia-Ceja; Ramón F. Brena (Sensors, 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)

A crowdsourcing approach for personalization in human activities recognition. - Ramón F. Brena; Enrique Garcia-Ceja (Intell. Data Anal., 2017)

Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. - Enrique Garcia-Ceja; Md. Zia Uddin; Jim Tørresen (ANT/SEIT, 2018)

Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients. - Enrique Garcia-Ceja; Michael Riegler 001; Petter Jakobsen; Jim Tørresen; Tine Nordgreen; Ketil J. Oedegaard; Ole Bernt Fasmer (CBMS, 2018)

Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients. - Enrique Garcia-Ceja; Michael Riegler 001; Petter Jakobsen; Jim Tørresen; Tine Nordgreen; Ketil J. Oedegaard; Ole Bernt Fasmer (MMSys, 2018)

An Improved Three-Stage Classifier for Activity Recognition. - Enrique Garcia-Ceja; Ramón F. Brena (Int. J. Pattern Recognit. Artif. Intell., 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)

Mental health monitoring with multimodal sensing and machine learning: A survey. - Enrique Garcia-Ceja; Michael Riegler 001; Tine Nordgreen; Petter Jakobsen; Ketil J. Oedegaard; Jim Tørresen (Pervasive Mob. Comput., 2018)

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 (ICCMA, 2019)

User Recognition Based on Daily Actigraphy Patterns. - Enrique Garcia-Ceja; Brice Morin (IFIPTM, 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 001; Jim Tørresen (IJCNN, 2019)

Amplifying Integration Tests with CAMP. - Franck Chauvel; Brice Morin; Enrique Garcia-Ceja (ISSRE, 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 (HealthMedia@MM, 2019)

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 (CBMS, 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 (ICPS, 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 (MMSys, 2020)

Optimization of a Chemical Process with Soft-Sensing Technologies. - Enrique Garcia-Ceja; Åsmund Hugo; Brice Morin; Per Olav Hansen (ERCIM News, 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)

CAMP: A tool to amplify software configuration tests. - Franck Chauvel; Brice Morin; Enrique Garcia-Ceja (Softw. Impacts, 2020)

User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. - Enrique Garcia-Ceja; Michael Riegler 001; Anders K. Kvernberg; Jim Tørresen (User Model. User Adapt. Interact., 2020)

A Systematic Mapping Study on Approaches for Al-Supported Security Risk Assessment. - Gencer Erdogan; Enrique Garcia-Ceja; Åsmund Hugo; Phu Hong Nguyen; Sagar Sen (COMPSAC, 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 (MMM (2), 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 (MMM (2), 2021)

Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement. - Ragnhild Halvorsrud; Costas Boletsis; Enrique Garcia-Ceja (MoDELS, 2021)

On The Reliability Of Machine Learning Applications In Manufacturing Environments. - Nicolas Jourdan 001; Sagar Sen; Erik Johannes Husom; Enrique Garcia-Ceja; Tobias Biegel; Joachim Metternich (CoRR, 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)

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 (CAiSE Research Projects Exhibition, 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, 2023)

Multi-View Conformal Learning for Heterogeneous Sensor Fusion. - Enrique Garcia-Ceja (CoRR, 2024)

Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment. - Emilio Ríos Ochoa; Jesús Arturo Pérez Díaz; Enrique Garcia-Ceja; Gerardo Rodriguez-Hernandez (IEEE Access, 2025)

Conformal prediction in multi-user settings: an evaluation. - Enrique Garcia-Ceja; Luciano García-Bañuelos; Nicolas Jourdan 001 (User Model. User Adapt. Interact., 2025)