Arkaitz Artetxe

According to our database, Arkaitz Artetxe authored at least 20 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

CatSight, a direct path to proper multi-variate time series change detection: perceiving a concept drift through common spatial pattern.

Arantzazu Florez, Itsaso Rodríguez-Moreno, Arkaitz Artetxe, Igor García Olaizola, Basilio Sierra

Int. J. Mach. Learn. Cybern., September, 2023

Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing.

Igor García Olaizola, Jan Lukas Bruse, Juan Odriozola, Arkaitz Artetxe, David Velásquez, Marco Quartulli, Jorge Posada

IEEE Computer Graphics and Applications, 2023

2022

A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems.

David Velásquez, Enrique Pérez, Xabier Oregui, Arkaitz Artetxe, Jorge Manteca, Jordi Escayola Mansilla, Mauricio Toro, Mikel Maiza, Basilio Sierra

IEEE Access, 2022

2021

Measurement Time Reduction by Means of Mathematical Modeling of Enzyme Mediated RedOx Reaction in Food Samples Biosensors.

Arantzazu Florez, Elena Murga, Itziar Ortiz de Zarate, Arrate Jaureguibeitia, Arkaitz Artetxe, Basilio Sierra

Sensors, 2021

2020

Balanced training of a hybrid ensemble method for imbalanced datasets: a case of emergency department readmission prediction.

Arkaitz Artetxe, Manuel Graña, Andoni Beristain, Sebastián A. Ríos

Neural Comput. Appl., 2020

2018

Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model.

Nekane Larburu, Arkaitz Artetxe, Vanessa Escolar, Ainara Lozano, Jon Kerexeta

Mob. Inf. Syst., 2018

Predictive models for hospital readmission risk: A systematic review of methods.

Arkaitz Artetxe, Andoni Beristain, Manuel Graña

Comput. Methods Programs Biomed., 2018

Predicting 30-day Readmission in Heart Failure using Machine Learning Techniques.

Jon Kerexeta, Arkaitz Artetxe, Vanessa Escolar, Ainara Lozano, Nekane Larburu

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

Using Anticipative Hybrid Extreme Rotation Forest to predict emergency service readmission risk.

Arkaitz Artetxe, Borja Ayerdi, Manuel Graña, Sebastián A. Ríos

J. Comput. Sci., 2017

Emergency Department Readmission Risk Prediction: A Case Study in Chile.

Arkaitz Artetxe, Manuel Graña, Andoni Beristain, Sebastián A. Ríos

Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

2016

A platform for user empowerment through Self Ecological Momentary Assessment / Intervention.

Roberto Álvarez, Ane Murua, Arkaitz Artetxe, Gorka Epelde, Andoni Beristain

EAI Endorsed Trans. Future Intell. Educ. Environ., 2016

Predicting 30-Day Emergency Readmission Risk.

Arkaitz Artetxe, Andoni Beristain, Manuel Graña, Ariadna Besga

Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016

Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization.

Arkaitz Artetxe, Gorka Epelde, Andoni Beristain, Ane Murua, Roberto Álvarez

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2014

Design and Development of a Mobile Cardiac Rehabilitation System.

Iker Mesa, Eider Sanchez, Carlos Toro, Javier Díaz, Arkaitz Artetxe, Manuel Graña, Frank Guijarro, Cesar Martinez, José Manuel Jiménez, Shabs Rajasekharan, Jose Antonio Alarcon, Alessandro De Mauro

Cybern. Syst., 2014

Hygehos Home: an innovative remote follow-up system for chronic patients.

Eduardo Carrasco, Eider Sanchez, Arkaitz Artetxe, Carlos Toro, Manuel Graña, Frank Guijarro, José María Susperregui, Agustin Aguirre

Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Activity Classification Using Mobile Phone based Motion Sensing and Distributed Computing.

Arkaitz Artetxe, Andoni Beristain, Luis Kabongo

Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

2013

Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer.

Eider Sanchez, Carlos Toro, Arkaitz Artetxe, Manuel Graña, Cesar Sanín, Edward Szczerbicki, Eduardo Carrasco, Frank Guijarro

Pattern Recognit. Lett., 2013

Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems.

Arkaitz Artetxe, Eider Sanchez, Carlos Toro, Cesar Sanín, Edward Szczerbicki, Manuel Graña, Jorge Posada

Cybern. Syst., 2013

2012

A Semantic Clinical Decision Support System: conceptual architecture and implementation guidelines.

Eider Sanchez, Carlos Toro, Arkaitz Artetxe, Manuel Graña, Eduardo Carrasco, Frank Guijarro

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Speed-up of a Knowledge-Based Clinical Diagnosis System using Reflexive Ontologies.

Arkaitz Artetxe, Eider Sanchez, Carlos Toro, Cesar Sanín, Edward Szczerbicki, Manuel Graña, Jorge Posada

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012