| 2026 | ICAART | Unveiling Concise Counterfactual Explanations and Feature Relevance in Machine Learning through Decision Trees. | Jurandir Silva, Eduardo Aguilar, Rogerio Salvini |
| 2026 | ICPR | Quartet of Experts: Multi-aspect Semantic Guidance for Few-Shot Learning. | Javier Rdenas, Eduardo Aguilar, Petia Radeva |
| 2025 | CAIP | Robust Logit to Enhance Stochastic Neural Network Adversarial Robustness. | Omar Dardour, Eduardo Aguilar, Mourad Zaied, Petia Radeva |
| 2025 | CAIP | LLM-Generated Semantic Co-occurrences for Multi-label Food Recognition. | Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva |
| 2025 | CVPR | Slot Attention-based Feature Filtering for Few-Shot Learning. | Javier Rdenas Cumplido, Eduardo Aguilar, Petia Radeva |
| 2025 | CVPR | Stochastic-based Patch Filtering for Few-Shot Learning. | Javier Rdenas Cumplido, Eduardo Aguilar, Petia Radeva |
| 2025 | VISIGRAPP | Uncertainty-Driven Past-Sample Selection for Replay-Based Continual Learning. | Anxo-Lois Pereira, Eduardo Aguilar, Petia Radeva |
| 2024 | CIARP | An Uncertainty-Driven ScaledYOLOv4 for Open-Pit Mining Helmet Detection. | Roger Calle, Eduardo Aguilar |
| 2024 | CIARP | Towards a Lightweight CNN for Semantic Food Segmentation. | Bastin Muoz, Beatriz Remeseiro, Eduardo Aguilar |
| 2024 | ECCV | Multi-label Out-of-Distribution Detection via Evidential Learning. | Eduardo Aguilar, Bogdan Raducanu, Petia Radeva |
| 2024 | VISIGRAPP | Ontology-Driven Deep Learning Model for Multitask Visual Food Analysis. | Daniel Ponte, Eduardo Aguilar, Mireia Ribera, Petia Radeva |
| 2020 | ICPR | Uncertainty-Aware Data Augmentation for Food Recognition. | Eduardo Aguilar, Bhalaji Nagarajan, Rupali Khatun, Marc Bolaos, Petia Radeva |
| 2020 | ICPR | S2ML-TL Framework for Multi-label Food Recognition. | Bhalaji Nagarajan, Eduardo Aguilar, Petia Radeva |
| 2019 | CAIP | Class-Conditional Data Augmentation Applied to Image Classification. | Eduardo Aguilar, Petia Radeva |
| 2019 | IBPRIA | Food Recognition by Integrating Local and Flat Classifiers. | Eduardo Aguilar, Petia Radeva |
| 2018 | ECCV | Multiple Wavelet Pooling for CNNs. | Aina Ferr, Eduardo Aguilar, Petia Radeva |
| 2017 | ICIAP | Food Recognition Using Fusion of Classifiers Based on CNNs. | Eduardo Aguilar, Marc Bolaos, Petia Radeva |