| 2026 | HRI | Confusion Detection from Facial Expressions in Elderly-Robot Interactions: Why Is It Difficult? | Paul Vogt, Yara Bikowski, Matias Valdenegro-Toro |
| 2026 | ICPRAM | Explanation Uncertainty in Tabular Data Models. | Yingsi Gao, mer Tarik zyilmaz, Matias Valdenegro-Toro |
| 2025 | COLING | Cross-Lingual Document Recommendations with Transformer-Based Representations: Evaluating Multilingual Models and Mapping Techniques. | Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli, Matias Valdenegro-Toro |
| 2025 | CVPR | Uncertainty Quantification for Gradient-based Explanations in Neural Networks. | Mihir Mulye, Matias Valdenegro-Toro |
| 2025 | ECAI | Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction. | Miro Miranda, Marcela Charfuelan, Matias Valdenegro-Toro, Andreas Dengel |
| 2025 | EvoMUSART | Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting. | Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich |
| 2025 | Interspeech | Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning. | mer Tarik zyilmaz, Matt Coler, Matias Valdenegro-Toro |
| 2025 | VISIGRAPP | Uncertainty Estimation for Super-Resolution Using ESRGAN. | Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro |
| 2025 | VISIGRAPP | Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning. | Eric Brouwer, Jan Erik van Woerden, Gertjan J. Burghouts, Matias Valdenegro-Toro, Marco Zullich |
| 2025 | VISIGRAPP | Can Bayesian Neural Networks Explicitly Model Input Uncertainty? | Matias Valdenegro-Toro, Marco Zullich |
| 2024 | ECCV | Sanity Checks for Explanation Uncertainty. | Matias Valdenegro-Toro, Mihir Mulye |
| 2024 | ESANN | Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks. | Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich |
| 2023 | CVPR | Difficulty Estimation with Action Scores for Computer Vision Tasks. | Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro |
| 2022 | CVPR | Self-supervised Learning for Sonar Image Classification. | Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro |
| 2022 | CVPR | A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. | Matias Valdenegro-Toro, Daniel Saromo Mori |
| 2021 | CVPR | I Find Your Lack of Uncertainty in Computer Vision Disturbing. | Matias Valdenegro-Toro |
| 2019 | ESANN | Real-time Convolutional Neural Networks for emotion and gender classification. | Matias Valdenegro-Toro, Octavio Arriaga, Paul Plger |
| 2017 | ESANN | Real-time convolutional networks for sonar image classification in low-power embedded systems. | Matias Valdenegro-Toro |