Speed-up of a Knowledge-Based Clinical Diagnosis System using Reflexive Ontologies. - Arkaitz Artetxe; Eider Sanchez; Carlos Toro 001; Cesar Sanín; Edward Szczerbicki; Manuel Graña; Jorge Posada 001 (KES, 2012)

A Semantic Clinical Decision Support System: conceptual architecture and implementation guidelines. - Eider Sanchez; Carlos Toro 001; Arkaitz Artetxe; Manuel Graña; Eduardo Carrasco; Frank Guijarro (KES, 2012)

Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems. - Arkaitz Artetxe; Eider Sanchez; Carlos Toro 001; Cesar Sanín; Edward Szczerbicki; Manuel Graña; Jorge Posada 001 (Cybern. Syst., 2013)

Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer. - Eider Sanchez; Carlos Toro 001; Arkaitz Artetxe; Manuel Graña; Cesar Sanín; Edward Szczerbicki; Eduardo Carrasco; Frank Guijarro (Pattern Recognit. Lett., 2013)

Activity Classification Using Mobile Phone based Motion Sensing and Distributed Computing. - Arkaitz Artetxe; Andoni Beristain; Luis Kabongo (InMed, 2014)

Hygehos Home: an innovative remote follow-up system for chronic patients. - Eduardo Carrasco; Eider Sanchez; Arkaitz Artetxe; Carlos Toro 001; Manuel Graña; Frank Guijarro; José María Susperregui; Agustin Aguirre (InMed, 2014)

Design and Development of a Mobile Cardiac Rehabilitation System. - Iker Mesa; Eider Sanchez; Carlos Toro 001; Javier Díaz; Arkaitz Artetxe; Manuel Graña; Frank Guijarro; Cesar Martinez; José Manuel Jiménez; Shabs Rajasekharan; Jose Antonio Alarcon; Alessandro De Mauro (Cybern. Syst., 2014)

Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization. - Arkaitz Artetxe; Gorka Epelde; Andoni Beristain; Ane Murua; Roberto Álvarez 001 (VISIGRAPP (2: IVAPP), 2016)

Predicting 30-Day Emergency Readmission Risk. - Arkaitz Artetxe; Andoni Beristain; Manuel Graña; Ariadna Besga (SOCO-CISIS-ICEUTE, 2016)

A platform for user empowerment through Self Ecological Momentary Assessment / Intervention. - Roberto Álvarez 001; Ane Murua; Arkaitz Artetxe; Gorka Epelde; Andoni Beristain (EAI Endorsed Trans. Future Intell. Educ. Environ., 2016)

Emergency Department Readmission Risk Prediction: A Case Study in Chile. - Arkaitz Artetxe; Manuel Graña; Andoni Beristain; Sebastián A. Ríos (IWINAC (2), 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)

Predicting 30-day Readmission in Heart Failure using Machine Learning Techniques. - Jon Kerexeta; Arkaitz Artetxe; Vanessa Escolar; Ainara Lozano; Nekane Larburu (HEALTHINF, 2018)

Predictive models for hospital readmission risk: A systematic review of methods. - Arkaitz Artetxe; Andoni Beristain; Manuel Graña (Comput. Methods Programs Biomed., 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)

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)

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)

A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems. - David Velásquez 001; Enrique Pérez; Xabier Oregui; Arkaitz Artetxe; Jorge Manteca; Jordi Escayola Mansilla; Mauricio Toro; Mikel Maiza; Basilio Sierra (IEEE Access, 2022)

Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing. - Igor García Olaizola; Jan Lukas Bruse; Juan Odriozola; Arkaitz Artetxe; David Velásquez 001; Marco Quartulli; Jorge Posada 001 (IEEE Computer Graphics and Applications, 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., 2023)

Mathematical formulations for the scheduling of unrelated parallel machines considering machine availability and eligibility. - Alejandro Uribe; Urtzi Otamendi; Arkaitz Artetxe; Juan Carlos Rivera (Expert Syst. Appl., 2025)

Exploring multi-agent reinforcement learning for unrelated parallel machine scheduling. - Maria Zampella; Urtzi Otamendi; Xabier Belaunzaran; Arkaitz Artetxe; Igor G. Olaizola; Basilio Sierra; Giuseppe Longo (J. Supercomput., 2025)

Lynxsight: change-point detection through different distance-based common spatial patterns. - Arantzazu Florez; Itsaso Rodríguez-Moreno; Ane M. Florez-Tapia; Arkaitz Artetxe; Basilio Sierra (J. Supercomput., 2025)

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models. - Diego Forniés-Tabuenca; Alejandro Uribe; Urtzi Otamendi; Arkaitz Artetxe; Juan Carlos Rivera; Oier Lopez de Lacalle (CoRR, 2025)