| 2026 | ESANN | SMOTE k-out: Enhancing Class Separability through Outer Synthetic Sampling. | Vernica Boln-Canedo, Jos Luis Morillo-Salas, Laura Morn-Fernndez, Amparo Alonso-Betanzos |
| 2026 | ESANN | Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data. | Samuel Surez-Marcote, Abhijeet Vishwasrao, Ricardo Vinuesa, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2025 | ICANN | Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2025 | IDEAL | Fast and Frugal Transfer Learning via Precomputed Features and Adaptive Normalization. | Daniel Vila-Cruz, Vernica Boln-Canedo, Laura Morn-Fernndez |
| 2024 | ICMLA | Mutual Information-Based Feature Selection for Federated Learning Environments. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | ESANN | Green Machine Learning. | Vernica Boln-Canedo, Laura Morn-Fernndez, Brais Cancela, Amparo Alonso-Betanzos |
| 2023 | ESANN | Efficient feature selection for domain adaptation using Mutual Information Maximization. | Guillermo Castillo Garca, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2023 | ESANN | Logarithmic division for green feature selection: an information-theoretic approach. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2022 | ESANN | Feature selection for transfer learning using particle swarm optimization and complexity measures. | Vernica Boln-Canedo, Guillermo Castillo Garca, Laura Morn-Fernndez |
| 2022 | IJCNN | Less is more: Low-precision feature selection for wearables. | Samuel Surez-Marcote, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2022 | KES | Reduced precision discretization based on information theory. | Brais Ares, Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2021 | IWANN | Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? | Laura Morn-Fernndez, Vernica Boln-Canedo |
| 2020 | ESANN | Do we need hundreds of classifiers or a good feature selection? | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2017 | ESANN | A distributed approach for classification using distance metrics. | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2016 | ESANN | Data complexity measures for analyzing the effect of SMOTE over microarrays. | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |