Enrique Garcia-Ceja

45 papers A 4B 4Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conformal prediction in multi-user settings: an evaluation. User Model. User Adapt. Interact. Enrique Garcia-Ceja, Luciano García-Bañuelos, Nicolas Jourdan
2025	—	`conf`	MNIST Dataset Classification via Multiview Topological Data Analysis. MICAI (1) Kaled Corona-Romero, Enrique Garcia-Ceja, Omar Mendoza-Montoya
2025	J	`jnl`	Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment. IEEE Access Emilio Ríos Ochoa, Jesús Arturo Pérez Díaz, Enrique Garcia-Ceja, Gerardo Rodriguez-Hernandez
2025	—	`conf`	Water Quality Classification via Cost-Efficient Machine Learning: A Case Study in Nuevo León. MICAI (1) Kaled Corona-Romero, Gerardo Alejandro Fumagal-González, Enrique Garcia-Ceja, Miguel González-Mendoza
2024	J	`jnl`	Multi-View Conformal Learning for Heterogeneous Sensor Fusion. CoRR Enrique Garcia-Ceja
2023	J	`jnl`	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. Technometrics Enrique Garcia-Ceja
2023	J	`jnl`	Conformal Prediction in Multi-User Settings: An Evaluation. CoRR Enrique Garcia-Ceja, Luciano García-Bañuelos, Nicolas Jourdan
2023	—	`conf`	ProAmbitIon: Online Process Conformance Checking with Ambiguities Driven by the Internet of Things. CAiSE Research Projects Exhibition Marco Franceschetti, Ronny Seiger, Mauricio Jacobo González González, Enrique Garcia-Ceja, Luis Armando Rodriguez Flores, Luciano García-Bañuelos, Barbara Weber
2021	B	`conf`	A Systematic Mapping Study on Approaches for Al-Supported Security Risk Assessment. COMPSAC Gencer Erdogan, Enrique Garcia-Ceja, Åsmund Hugo, Phu Hong Nguyen, Sagar Sen
2021	A	`conf`	Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement. MoDELS Ragnhild Halvorsrud, Costas Boletsis, Enrique Garcia-Ceja
2021	—	`conf`	HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler
2021	J	`jnl`	Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains. Sensors Erik Molino-Minero-Re, Antonio A. Aguileta, Ramón F. Brena, Enrique Garcia-Ceja
2021	—	`conf`	Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. MMM (2) 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
2021	J	`jnl`	On The Reliability Of Machine Learning Applications In Manufacturing Environments. CoRR Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich
2020	—	`conf`	A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process. ICPS Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen
2020	J	`jnl`	A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process. CoRR Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen
2020	J	`jnl`	A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data. J. Medical Syst. Enrique Garcia-Ceja, Brice Morin, Anton Aguilar-Rivera, Michael Alexander Riegler
2020	J	`jnl`	CAMP: A tool to amplify software configuration tests. Softw. Impacts Franck Chauvel, Brice Morin, Enrique Garcia-Ceja
2020	J	`jnl`	Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. CoRR 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
2020	J	`jnl`	Optimization of a Chemical Process with Soft-Sensing Technologies. ERCIM News Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen
2020	B	`conf`	PSYKOSE: A Motor Activity Database of Patients with Schizophrenia. CBMS 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
2020	A	`conf`	Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. MMSys 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
2020	J	`jnl`	Towards the Automation of a Chemical Sulphonation Process with Machine Learning. CoRR Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen
2020	J	`jnl`	User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. User Model. User Adapt. Interact. Enrique Garcia-Ceja, Michael Riegler, Anders K. Kvernberg, Jim Tørresen
2019	A	`conf`	Amplifying Integration Tests with CAMP. ISSRE Franck Chauvel, Brice Morin, Enrique Garcia-Ceja
2019	B	`conf`	Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs. IJCNN Farzan Majeed Noori, Enrique Garcia-Ceja, Md. Zia Uddin, Michael Riegler, Jim Tørresen
2019	—	`conf`	One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. HealthMedia@MM Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler
2019	—	`conf`	Towards the Automation of a Chemical Sulphonation Process with Machine Learning. ICCMA Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin, Per Olav Hansen, Espen Martinsen, An Ngoc Lam, Øystein Haugen
2019	—	`conf`	User Recognition Based on Daily Actigraphy Patterns. IFIPTM Enrique Garcia-Ceja, Brice Morin
2018	J	`jnl`	An Improved Three-Stage Classifier for Activity Recognition. Int. J. Pattern Recognit. Artif. Intell. Enrique Garcia-Ceja, Ramón F. Brena
2018	—	`conf`	Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. ANT/SEIT Enrique Garcia-Ceja, Md. Zia Uddin, Jim Tørresen
2018	A	`conf`	Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients. MMSys Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer
2018	J	`jnl`	Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive Mob. Comput. Enrique Garcia-Ceja, Michael Riegler, Tine Nordgreen, Petter Jakobsen, Ketil J. Oedegaard, Jim Tørresen
2018	B	`conf`	Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients. CBMS Enrique Garcia-Ceja, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, Ole Bernt Fasmer
2018	J	`jnl`	Multi-view stacking for activity recognition with sound and accelerometer data. Inf. Fusion Enrique Garcia-Ceja, Carlos Eric Galván-Tejada, Ramón F. Brena
2017	J	`jnl`	A crowdsourcing approach for personalization in human activities recognition. Intell. Data Anal. Ramón F. Brena, Enrique Garcia-Ceja
2016	J	`jnl`	Activity Recognition Using Community Data to Complement Small Amounts of Labeled Instances. Sensors Enrique Garcia-Ceja, Ramón F. Brena
2016	J	`jnl`	Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step. IEEE J. Biomed. Health Informatics Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora
2015	J	`jnl`	Automatic Stress Detection in Working Environments from Smartphones' Accelerometer Data: A First Step. CoRR Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora
2015	—	`conf`	Building Personalized Activity Recognition Models with Scarce Labeled Data Based on Class Similarities. UCAmI Enrique Garcia-Ceja, Ramón F. Brena
2014	—	`conf`	Contextualized Hand Gesture Recognition with Smartphones. MCPR Enrique Garcia-Ceja, Ramón F. Brena, Carlos Eric Galván-Tejada
2014	—	`conf`	Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces. AmI Enrique Garcia-Ceja, Venet Osmani, Alban Maxhuni, Oscar Mayora
2014	—	`conf`	Evaluation of Four Classifiers as Cost Function for Indoor Location Systems. ANT/SEIT Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Enrique Garcia-Ceja, José C. Carrasco-Jiménez, Ramón F. Brena
2014	J	`jnl`	Long-Term Activity Recognition from Wristwatch Accelerometer Data. Sensors Enrique Garcia-Ceja, Ramón F. Brena, José C. Carrasco-Jiménez, Leonardo Garrido
2014	—	`conf`	Long-term Activities Segmentation using Viterbi Algorithm with a k-minimum-consecutive-states Constraint. ANT/SEIT Enrique Garcia-Ceja, Ramón F. Brena