| 2018 | IGARSS | Randomized RX for Target Detection. | Fatih Nar, Adrian Perez-Suay, Jos Antonio Padrn, Gustau Camps-Valls |
| 2018 | IGARSS | Consistent Regression of Biophysical Parameters with Kernel Methods. | Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls |
| 2018 | IGARSS | Nonlinear Cook Distance for Anomalous Change Detection. | Jos Antonio Padrn-Hidalgo, Adrian Perez-Suay, Fatih Nar, Gustau Camps-Valls |
| 2017 | ICIP | Passive millimeter wave image classification with large scale Gaussian processes. | Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos |
| 2017 | IGARSS | Efficient remote sensing image classification with Gaussian processes and Fourier features. | Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls |
| 2017 | IGARSS | Causal inference in geosciences with kernel sensitivity maps. | Adrian Perez-Suay, Gustau Camps-Valls |
| 2013 | SMC | Comparative Evaluation of Batch and Online Distance Metric Learning Approaches Based on Margin Maximization. | Adrian Perez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herrez, Jess V. Albert |
| 2012 | SSPR | Online Metric Learning Methods Using Soft Margins and Least Squares Formulations. | Adrian Perez-Suay, Francesc J. Ferri |
| 2011 | IBPRIA | An Online Metric Learning Approach through Margin Maximization. | Adrian Perez-Suay, Francesc J. Ferri, Jess V. Albert |
| 2009 | IBPRIA | A Random Extension for Discriminative Dimensionality Reduction and Metric Learning. | Adrian Perez-Suay, Francesc J. Ferri, Jess V. Albert |
| 2008 | ISVC | Scaling Up a Metric Learning Algorithm for Image Recognition and Representation. | Adrian Perez-Suay, Francesc J. Ferri |