Component-based simulation on the Web? - Michael Pidd; Noelia Oses; Roger J. Brooks (WSC, 1999)

Component-based simulation. - Noelia Oses (2002)

Critical issues in the development of component-based discrete simulation. - Noelia Oses; Michael Pidd; Roger J. Brooks (Simul. Model. Pract. Theory, 2004)

Markov chain applications in the slot machine industry. - Noelia Oses (OR Insight, 2008)

Bitz & Pizzas: Optimal stopping strategy for a slot machine bonus game. - Noelia Oses (OR Insight, 2009)

Embodied Moving-Target Seeking with Prediction and Planning. - Noelia Oses; Matej Hoffmann; Randal A. Koene (HAIS (2), 2010)

Positive Predictive Value based dynamic K-Nearest Neighbor. - Iñigo Mendialdua; Noelia Oses; Basilio Sierra; Elena Lazkano (KES, 2012)

Image-Based Delineation of Built Heritage Masonry for Automatic Classification. - Noelia Oses; Fadi Dornaika (ICIAR, 2013)

Image-Based Delineation and Classification of Built Heritage Masonry. - Noelia Oses; Fadi Dornaika; Abdelmalik Moujahid (Remote. Sens., 2014)

Fine grained recognition of masonry walls for built heritage assessment. - Noelia Oses; Fadi Dornaika; Abdelmalik Moujahid (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2015)

Dynamic Pricing Patterns on an Internet Distribution Channel: The Case Study of Bilbao's Hotels in 2013. - Noelia Oses Fernández; Jon Kepa Gerrikagoitia; Aurkene Alzua-Sorzabal (ENTER, 2015)

Evidence of hotels' dynamic pricing patterns on an Internet distribution channel: the case study of the Basque Country's hotels in 2013-2014. - Noelia Oses; Jon Kepa Gerrikagoitia; Aurkene Alzua (J. Inf. Technol. Tour., 2016)

Determining input variable ranges given a trained regression model and an output range. - Noelia Oses; Aritz Legarretaetxebarria; Marco Quartulli; Igor G. Olaizola; Mikel Serrano (INDIN, 2019)

Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range. - Noelia Oses; Aritz Legarretaetxebarria; Marco Quartulli; Igor García; Mikel Serrano (CoRR, 2019)

Machine Learning for olive phenology prediction and base temperature optimisation. - Noelia Oses; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola; Susanna Marchi; Diego Guidotti (GIoTS, 2020)

Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction. - Noelia Oses; Izar Azpiroz; Susanna Marchi; Diego Guidotti; Marco Quartulli; Igor G. Olaizola (Sensors, 2020)

Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods. - Izar Azpiroz; Noelia Oses; Marco Quartulli; Igor G. Olaizola; Diego Guidotti; Susanna Marchi (Remote. Sens., 2021)