Time series data mining for the Gaia variability analysis. - Krzysztof Nienartowicz; Diego Ordóñez Blanco; Leanne Guy; Berry Holl; Isabelle Lecoeur-Taïbi; Nami Mowlavi; Lorenzo Rimoldini; Idoia Ruiz; Maria Süveges; Laurent Eyer (CoRR, 2014)

Metric Learning for Novelty and Anomaly Detection. - Marc Masana; Idoia Ruiz; Joan Serrat 002; Joost van de Weijer 001; Antonio M. López 001 (BMVC, 2018)

Learning Multi-Object Tracking and Segmentation From Automatic Annotations. - Lorenzo Porzi; Markus Hofinger; Idoia Ruiz; Joan Serrat 002; Samuel Rota Bulò; Peter Kontschieder (CVPR, 2020)

Rank-based ordinal classification. - Joan Serrat 002; Idoia Ruiz (ICPR, 2020)

Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation. - Idoia Ruiz; Bogdan Raducanu; Rakesh Mehta; Jaume Amores (Eng. Appl. Artif. Intell., 2020)

Weakly Supervised Multi-Object Tracking and Segmentation. - Idoia Ruiz; Lorenzo Porzi; Samuel Rota Bulò; Peter Kontschieder; Joan Serrat 002 (WACV (Workshops), 2021)

Hierarchical Novelty Detection for Traffic Sign Recognition. - Idoia Ruiz; Joan Serrat 002 (Sensors, 2022)

Deep Metric Learning for re-identification, tracking and hierarchical novelty detection - Idoia Ruiz (2023)