Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. - Axel Brando; José A. Rodríguez-Serrano; Mauricio Ciprian; Roberto Maestre; Jordi Vitrià (ECML/PKDD (3), 2018)

Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis. - José Mena; Axel Brando; Oriol Pujol; Jordi Vitrià (IbPRIA (1), 2019)

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians. - Axel Brando; José A. Rodríguez-Serrano; Jordi Vitrià; Alberto Rubio (NeurIPS, 2019)

Building Uncertainty Models on Top of Black-Box Predictive APIs. - Axel Brando; Damià Torres; José A. Rodríguez-Serrano; Jordi Vitrià (IEEE Access, 2020)

Deep Non-crossing Quantiles through the Partial Derivative. - Axel Brando; Joan Gimeno; José A. Rodríguez-Serrano; Jordi Vitrià (AISTATS, 2022)

Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors. - Axel Brando; Isabel Serra; Enrico Mezzetti; Jaume Abella 001; Francisco J. Cazorla (ECRTS, 2022)

Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning - Axel Brando (2022)

Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning. - Axel Brando; Isabel Serra; Enrico Mezzetti; Francisco J. Cazorla; Jaume Abella 001 (SafeAI@AAAI, 2023)

Retrospective Uncertainties for Deep Models using Vine Copulas. - Natasa Tagasovska; Firat Ozdemir; Axel Brando (AISTATS, 2023)

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI. - Jaume Abella 001; Jon Pérez 001; Cristofer Englund; Bahram Zonooz; Gabriele Giordana; Carlo Donzella; Francisco J. Cazorla; Enrico Mezzetti; Isabel Serra; Axel Brando; Irune Agirre; Fernando Eizaguirre; et al. (DATE, 2023)

EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. - Fabio Pavanello; Cédric Marchand 002; Ian O'Connor; Régis Orobtchouk; Fabien Mandorlo; Xavier Letartre; Sébastien Cueff; Elena-Ioana Vatajelu; Giorgio Di Natale; Benoit Cluzel; Aurelien Coillet; Benoît Charbonnier; et al. (ETS, 2023)

NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. - Fabio Pavanello; Cédric Marchand 002; Ian O'Connor; Régis Orobtchouk; Fabien Mandorlo; Xavier Letartre; Sébastien Cueff; Elena-Ioana Vatajelu; Giorgio Di Natale; Benoit Cluzel; Aurelien Coillet; Benoît Charbonnier; et al. (CoRR, 2023)

Contextual dataset from a Public Service Media. - Paula Gómez Duran; Jordi Vitrià; Axel Brando (Zenodo, 2023)

On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems. - Axel Brando; Isabel Serra; Enrico Mezzetti; Francisco J. Cazorla; Jon Pérez-Cerrolaza; Jaume Abella 001 (Computer, 2023)

Main sources of variability and non-determinism in AD software: taxonomy and prospects to handle them. - Miguel Alcon; Axel Brando; Enrico Mezzetti; Jaume Abella 001; Francisco J. Cazorla (Real Time Syst., 2023)

Safety-Relevant AI-Based System Robustification with Neural Network Ensembles. - Adrià Aldomà; Axel Brando; Francisco J. Cazorla; Jaume Abella 001 (IOLTS, 2024)

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models. - Lucas Berry; Axel Brando; David Meger (UAI, 2024)

GPU Implementation of Semantic Diverse DMR and TMR for High-Integrity AI-Based Functionalities. - Martí Caro; Axel Brando; Jaume Abella 001 (Zenodo, 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)

Leveraging Image-Based Transformations to Mitigate Adversarial Attacks in AI-Based Safety-Critical Systems. - Martí Caro; Axel Brando; Jaume Abella 001 (IOLTS, 2025)

Semantic Diverse DMR and TMR for High-Integrity AI-Based Function Efficiency. - Martí Caro; Axel Brando; Jaume Abella 001 (ACM Trans. Cyber Phys. Syst., 2025)

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix. - Unai Gurbindo; Axel Brando; Jaume Abella 001; Caroline König (CoRR, 2025)

Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models. - Lucas Berry; Axel Brando; Wei-Di Chang; Juan Camilo Gamboa Higuera; David Meger (CoRR, 2025)

Probing the Embedding Space of Transformers via Minimal Token Perturbations. - Eddie Conti; Alejandro Astruc; Álvaro Parafita; Axel Brando (CoRR, 2025)