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Aplicaciones anidadas

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Dates

Dates

May 4 and 5, 2026

Location

Location

classroom Gamesaclassroom
Ismael Sánchez Bella Building

University of Navarra

 

Contact

Virginia Gracia 
datai@unav.es
Tel. 948 425 600
Ext. 803226

Aplicaciones anidadas

Aplicaciones anidadas

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The Institute of data Science data Artificial Intelligence (DATAI) at the University of Navarra is organizing the 5th conference , which will be held on May 4 and 5, 2026.

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These conference are open to any researcher or student of doctorate, from any national or international institution.

The conference will be entirely face-to-face and free of charge, but registration is required.

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Registration

Si estás interesado en participar o asistir, la fecha límite de envío del formulario es el Lunes, 23 de marzo. 

If you are interested in participating or attend, the deadline submitting the form   Monday, March 23.  

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Enrollment period

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  These are the core topic deadlines:  

 

→ Submission of presentations:   May 1, 2026.  

→ attendance registration :   until fill in .  

→ conference dates:   May 4 and 5, 2026.  

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Submission of presentations

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→ Submit the presentation a    PDF file without links.  

→ Under no circumstances will you be allowed to connect   your own computer.  

→ Presentations may be delivered in either English or Spanish, but the slides must be:   written in English.  

Presentations should be sent, preferably in PDF format, to the email address datai@unav.es

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Aplicaciones anidadas

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Program

  *Program subject to change.  

 

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V Jornadas científicas de DATAI_programa

MONDAY, MAY 4

 

Time presentationdegree scroll speaker
4:00–4:15 p.m. Attendee registration
4:15–4:30 p.m. Opening of the conference
SECTION 1: Computational Methods for Health and Biomedicine
4:30 PM – 4:50 PM Perspectives on Data Sharing and AI Among Participants in Renal Clinical Studies Verónica Aramendía Vidaurreta
4:50 PM – 5:10 PM Toward the virtual cell through generative AI Mikel Hernaez Arrazola
5:10 PM – 5:30 PM  Addressing covariate shift through conformal training in single-cell data Leire Moriones Imirizaldu
5:50 PM – 6:10 PM  SARVI - System for Automated Recognition and Validation of ICD-10 Diagnoses Julen Rodríguez Meneses
6:10 PM – 6:30 PM Dynamic Mode Decomposition for Identifying Biomechanical Biomarkers in Mice with Gait Abnormalities  Jaime Ulayar Arroyo

 

 

TUESDAY, MAY 5

 

Time presentationdegree scroll speaker
9:00–9:15 Attendee registration
SECTION 2: Models and Methods
9:15–9:35 Fuzzy inference systems based on inclusion operators  Carolina Díaz Montarroso
9:35–9:55  Classifying pedestrian-friendliness based on topology  Sahily Estradé Fernández
9:55–10:15 Semi-Linear Gaussian Bayesian Networks Aitor Oviedo Madrid
10:15–10:35 Forecasting in the Age of Foundation Models: A Review of Models and Guidelines for Use Pedro Gómez Tejerina
10:35–10:55 Operators for the processing and interpretation of information in fuzzy sets - subject Francisco Javier Talavera Andújar
10:55–11:15 Hexagonal Tiling by area Integration: A framework for Isotropic Image Processing and Learning  Juan Pedro Garcia Ortiz
11:15–11:45 COFFEE
SECTION 3: Accountability, Validation, and Algorithmic Trust
11:45 a.m. – 12:05 p.m. Explainability in the healthcare sector  Mishell Cadena Yanez
12:05–12:25 Enhancing Fairness in AI Systems: A Study on Uncertainty Quantification for Banking Applications.  Davut Emre Tasar
12:25–12:45 Explainable Artificial Intelligence for Material finding  Valentín Vassilev Galindo
12:45–1:05 p.m. Hybrid Predictive Models with Statistical Guarantees  Alberto García Galindo
1:05 PM – 1:25 PM Performance metrics for using a machine learning model on application samples Eddy Rodriguez Cotrina
1:25 PM – 1:45 PM Estimating Model Performance Using Venn-Abers Predictors Daniel Pinto Holguín
1:45 PM – 3:30 PM FOOD
BLOCK 4 (1st ): Applications in Industry, Finance, and Engineering
3:30 PM – 3:50 PM A Methodological Framework for Visualizing Emotional Dynamics in Banking Services Ainhoa Guerrero San Martin
3:50 PM – 4:10 PM Reduced-Order Models for WRRF Operation – DARROW Case Study César Arenas Prado
4:10 PM – 4:30 PM  A Comparative Study of Machine Learning Algorithms for Small-Data Regression in Steel Hot Rolling  Cristina Rodríguez García
4:30 PM – 4:50 PM  Advances in Assessing Railway Track Quality Using Machine Learning Techniques Adrián Sansiñena Rodríguez
4:50 PM – 5:10 PM COFFEE
BLOCK 4 (Part 2): Applications in Industry, Finance, and Engineering
5:10 PM – 5:30 PM Optimizing Corporate Loan Pricing in the Face of Limited Data: A Causal Framework and Empirical Evidence Ignacio José Stivala
5:30 PM – 5:50 PM Physics-Informed Machine Learning for Aircraft Jet Engine Fuel Consumption  Fran Velásquez
5:50 PM – 6:20 PM Mitigating model risk model optimal market-making models  Miguel Zaballa Pardo
6:20 PM – 6:40 PM SPC/MSPC Approaches Applied to Manufacturing  Jorge Santiago Rodríguez Peñalosa

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LOCATION OF THE CONFERENCE

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Institute of data Science data Artificial Intelligence (DATAI).
University of Navarra.
classroom Gamesaclassroom .
Ismael Sánchez Bella Building.
Carretera de la Universidad s/n, 31009 Pamplona (Navarra)

 

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