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2020 – today
- 2024
[i1]Maria Zampella, Urtzi Otamendi, Xabier Belaunzaran, Arkaitz Artetxe, Igor G. Olaizola, Giuseppe Longo, Basilio Sierra:
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling. CoRR abs/2411.07634 (2024)- 2023
- [j12]Igor García Olaizola
, Jan Lukas Bruse, Juan Odriozola, Arkaitz Artetxe, David Velásquez, Marco Quartulli, Jorge Posada:
Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing. IEEE Computer Graphics and Applications 43(1): 53-64 (2023) - [j11]Arantzazu Florez, Itsaso Rodríguez-Moreno, Arkaitz Artetxe, Igor García Olaizola, Basilio Sierra:
CatSight, a direct path to proper multi-variate time series change detection: perceiving a concept drift through common spatial pattern. Int. J. Mach. Learn. Cybern. 14(9): 2925-2944 (2023) - 2022
- [j10]David Velásquez, Enrique Pérez, Xabier Oregui, Arkaitz Artetxe, Jorge Manteca, Jordi Escayola Mansilla, Mauricio Toro, Mikel Maiza, Basilio Sierra:
A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems. IEEE Access 10: 72024-72036 (2022) - 2021
- [j9]Arantzazu Florez, Elena Murga, Itziar Ortiz de Zarate, Arrate Jaureguibeitia, Arkaitz Artetxe, Basilio Sierra:
Measurement Time Reduction by Means of Mathematical Modeling of Enzyme Mediated RedOx Reaction in Food Samples Biosensors. Sensors 21(9): 2990 (2021) - 2020
- [j8]Arkaitz Artetxe, Manuel Graña, Andoni Beristain, Sebastián A. Ríos:
Balanced training of a hybrid ensemble method for imbalanced datasets: a case of emergency department readmission prediction. Neural Comput. Appl. 32(10): 5735-5744 (2020)
2010 – 2019
- 2018
- [j7]Arkaitz Artetxe, Andoni Beristain, Manuel Graña:
Predictive models for hospital readmission risk: A systematic review of methods. Comput. Methods Programs Biomed. 164: 49-64 (2018) - [j6]Nekane Larburu, Arkaitz Artetxe, Vanessa Escolar, Ainara Lozano, Jon Kerexeta:
Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model. Mob. Inf. Syst. 2018: 1546210:1-1546210:11 (2018) - [c8]Jon Kerexeta, Arkaitz Artetxe, Vanessa Escolar, Ainara Lozano, Nekane Larburu:
Predicting 30-day Readmission in Heart Failure using Machine Learning Techniques. HEALTHINF 2018: 308-315 - 2017
- [j5]Arkaitz Artetxe, Borja Ayerdi, Manuel Graña, Sebastián A. Ríos:
Using Anticipative Hybrid Extreme Rotation Forest to predict emergency service readmission risk. J. Comput. Sci. 20: 154-161 (2017) - [c7]Arkaitz Artetxe, Manuel Graña, Andoni Beristain, Sebastián A. Ríos:
Emergency Department Readmission Risk Prediction: A Case Study in Chile. IWINAC (2) 2017: 11-20 - 2016
- [j4]Roberto Álvarez, Ane Murua, Arkaitz Artetxe, Gorka Epelde, Andoni Beristain:
A platform for user empowerment through Self Ecological Momentary Assessment / Intervention. EAI Endorsed Trans. Future Intell. Educ. Environ. 2(7): e4 (2016) - [c6]Arkaitz Artetxe, Gorka Epelde, Andoni Beristain, Ane Murua, Roberto Álvarez:
Gaining Insight from Physical Activity Data using a Similarity-based Interactive Visualization. VISIGRAPP (2: IVAPP) 2016: 117-124 - [c5]Arkaitz Artetxe, Andoni Beristain, Manuel Graña, Ariadna Besga:
Predicting 30-Day Emergency Readmission Risk. SOCO-CISIS-ICEUTE 2016: 3-12 - 2014
- [j3]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:
Design and Development of a Mobile Cardiac Rehabilitation System. Cybern. Syst. 45(2): 92-108 (2014) - [c4]Arkaitz Artetxe, Andoni Beristain, Luis Kabongo:
Activity Classification Using Mobile Phone based Motion Sensing and Distributed Computing. InMed 2014: 1-10 - [c3]Eduardo Carrasco, Eider Sanchez, Arkaitz Artetxe, Carlos Toro, Manuel Graña, Frank Guijarro, José María Susperregui, Agustin Aguirre:
Hygehos Home: an innovative remote follow-up system for chronic patients. InMed 2014: 261-270 - 2013
- [j2]Arkaitz Artetxe, Eider Sanchez, Carlos Toro, Cesar Sanín, Edward Szczerbicki, Manuel Graña, Jorge Posada:
Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems. Cybern. Syst. 44(2-3): 187-203 (2013) - [j1]Eider Sanchez, Carlos Toro, Arkaitz Artetxe, Manuel Graña, Cesar Sanín, Edward Szczerbicki, Eduardo Carrasco, Frank Guijarro:
Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer. Pattern Recognit. Lett. 34(14): 1758-1768 (2013) - 2012
- [c2]Eider Sanchez, Carlos Toro, Arkaitz Artetxe, Manuel Graña, Eduardo Carrasco, Frank Guijarro:
A Semantic Clinical Decision Support System: conceptual architecture and implementation guidelines. KES 2012: 1390-1399 - [c1]Arkaitz Artetxe, Eider Sanchez, Carlos Toro, Cesar Sanín, Edward Szczerbicki, Manuel Graña, Jorge Posada:
Speed-up of a Knowledge-Based Clinical Diagnosis System using Reflexive Ontologies. KES 2012: 1480-1489
Coauthor Index
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