Contrastive Explanations for a Deep Learning Model on Time-Series Data. - Jokin Labaien; Ekhi Zugasti; Xabier De Carlos (DaWaK, 2020)

DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss. - Jokin Labaien; Ekhi Zugasti; Xabier De Carlos (CoRR, 2021)

A framework for adapting online prediction algorithms to outlier detection over time series. - Alaiñe Iturria; Jokin Labaien; Santi Charramendieta; Aizea Lojo; Javier Del Ser; Francisco Herrera (Knowl. Based Syst., 2022)

Diagnostic spatio-temporal transformer with faithful encoding. - Jokin Labaien; Tsuyoshi Idé; Pin-Yu Chen; Ekhi Zugasti; Xabier De Carlos (Knowl. Based Syst., 2023)

Improving Transformers using Faithful Positional Encoding. - Tsuyoshi Idé; Jokin Labaien; Pin-Yu Chen (CoRR, 2024)

Managing Sources of Uncertainty in Utilizing AI in Development and Deployment of Safety-Critical Autonomous Systems. - Robert Lowe; Maria Ulan; Thanh Hai Bui; Ana Adell; Jokin Labaien; Axel Brando (ICSA Companion, 2025)