| Predictive models for hospital readmission risk: A systematic review of methods A Artetxe, A Beristain, M Grana Computer methods and programs in biomedicine 164, 49-64, 2018 | 242 | 2018 |
| A hybrid machine-learning ensemble for anomaly detection in real-time industry 4.0 systems D Velasquez, E Perez, X Oregui, A Artetxe, J Manteca, JE Mansilla, ... IEEE Access 10, 72024-72036, 2022 | 64 | 2022 |
| Artificial intelligence to prevent mobile heart failure patients decompensation in real time: Monitoring‐based predictive model N Larburu, A Artetxe, V Escolar, A Lozano, J Kerexeta Mobile Information Systems 2018 (1), 1546210, 2018 | 41 | 2018 |
| Balanced training of a hybrid ensemble method for imbalanced datasets: a case of emergency department readmission prediction A Artetxe, M Graña, A Beristain, S Ríos Neural Computing and Applications 32 (10), 5735-5744, 2020 | 37 | 2020 |
| Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer E Sanchez, C Toro, A Artetxe, M Graña, C Sanin, E Szczerbicki, ... Pattern Recognition Letters 34 (14), 1758-1768, 2013 | 36 | 2013 |
| Using anticipative hybrid extreme rotation forest to predict emergency service readmission risk A Artetxe, B Ayerdi, M Graña, S Rios Journal of Computational Science 20, 154-161, 2017 | 17 | 2017 |
| Acoustic emission as a reliable technique for filiform corrosion monitoring on coated AA7075-T6: Tailored data processing C Abarkane, AM Florez-Tapia, J Odriozola, A Artetxe, M Lekka, ... Corrosion Science 214, 110964, 2023 | 16 | 2023 |
| Experience‐based SEEG planning: from retrospective data to automated electrode trajectories suggestions D Scorza, G Amoroso, C Cortés, A Artetxe, Á Bertelsen, M Rizzi, ... Healthcare technology letters 5 (5), 167-171, 2018 | 15 | 2018 |
| Predicting 30-day Readmission in Heart Failure using Machine Learning Techniques. J Kerexeta, A Artetxe, V Escolar, A Lozano, N Larburu HEALTHINF, 308-315, 2018 | 13 | 2018 |
| Predicting 30-day emergency readmission risk A Artetxe, A Beristain, M Graña, A Besga International Workshop on Soft Computing Models in Industrial and …, 2016 | 11 | 2016 |
| Impact of reflexive ontologies in semantic clinical decision support systems A Artetxe, E Sanchez, C Toro, C Sanín, E Szczerbicki, M Graña, J Posada Cybernetics and Systems 44 (2-3), 187-203, 2013 | 10 | 2013 |
| Heart failure readmission or early death risk factor analysis: A case study in a telemonitoring program A Artetxe, N Larburu, N Murga, V Escolar, M Graña International Conference on Innovation in Medicine and Healthcare, 244-253, 2017 | 8 | 2017 |
| CatSight, a direct path to proper multi-variate time series change detection: perceiving a concept drift through common spatial pattern A Florez, I Rodriguez-Moreno, A Artetxe, IG Olaizola, B Sierra International Journal of Machine Learning and Cybernetics 14 (9), 2925-2944, 2023 | 7 | 2023 |
| Exploring multi-agent reinforcement learning for unrelated parallel machine scheduling M Zampella, U Otamendi, X Belaunzaran, A Artetxe, IG Olaizola, B Sierra, ... The Journal of Supercomputing 81 (4), 1-26, 2025 | 6 | 2025 |
| Gocardio: A novel approach for mobility in cardiac monitoring I Mesa, E Sanchez, J Diaz, C Toro, A Artetxe InImpact: The Journal of Innovation Impact 6 (1), 110, 2016 | 6 | 2016 |
| Activity classification using mobile phone based motion sensing and distributed computing A Artetxe, A Beristain, L Kabongo Innovation in Medicine and Healthcare 2014, 1-10, 2014 | 6 | 2014 |
| A Semantic Clinical Decision Support System: conceptual architecture and implementation guidelines E Sanchez, C Toro, A Artetxe, M Graña, E Carrasco, F Guijarro Advances in Knowledge-Based and Intelligent Information and Engineering …, 2012 | 6 | 2012 |
| Emergency department readmission risk prediction: A case study in Chile A Artetxe, M Graña, A Beristain, S Ríos International Work-Conference on the Interplay Between Natural and …, 2017 | 5 | 2017 |
| REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models D Forniés-Tabuenca, A Uribe, U Otamendi, A Artetxe, JC Rivera, ... arXiv preprint arXiv:2506.07759, 2025 | 4 | 2025 |
| Visual analytics platform for centralized COVID-19 digital contact tracing IG Olaizola, JL Bruse, J Odriozola, A Artetxe, D Velásquez, M Quartulli, ... IEEE Computer Graphics and Applications 43 (1), 53-64, 2022 | 4 | 2022 |
