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Xabier Larrayoz
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2020 – today
- 2023
- [c3]Xabier Larrayoz, Nuria Lebeña, Arantza Casillas, Alicia Pérez:
Representation Exploration and Deep Learning Applied to the Early Detection of Pathological Gambling Risks. CLEF (Working Notes) 2023: 693-705 - [c2]Juan Martínez-Romo, Lourdes Araujo, Xabier Larrayoz, Maite Oronoz, Alicia Pérez:
OBSER-MENH at eRisk 2023: Deep Learning-Based Approaches for Symptom Detection in Depression and Early Identification of Pathological Gambling Indicators. CLEF (Working Notes) 2023: 706-717 - [c1]Xabier Larrayoz, Nuria Lebeña, Arantza Casillas, Alicia Pérez:
Eating Disorders Detection by means of Deep Learning. IberLEF@SEPLN 2023 - 2021
- [i3]Marc Rocas, Alberto García-González, Sergio Zlotnik, Xabier Larráyoz, Pedro Díez:
Nonintrusive Uncertainty Quantification for automotive crash problems with VPS/Pamcrash. CoRR abs/2102.07673 (2021) - [i2]Marc Rocas, Alberto García-González, Xabier Larrayoz, Pedro Díez:
Adaptive surrogates of crashworthiness models for multi-purpose engineering analyses accounting for uncertainty. CoRR abs/2103.16202 (2021) - 2020
- [i1]Fabiola Cavaliere, Sergio Zlotnik, Rubén Sevilla, Xabier Larrayoz, Pedro Díez:
Nonintrusive reduced order model for parametric solutions of inertia relief problems. CoRR abs/2012.01961 (2020)
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