| 2025 | AAAI | Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution. | Carlos Eiras-Franco, Anna Hedstrm, Marina M.-C. Hhne |
| 2025 | IJCNN | Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning. | Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Carlos Eiras-Franco |
| 2025 | IWANN | Quantitative and Qualitative Evaluation on Local Explainability Models for Anomaly Detection Algorithms. | David Esteban Martnez, Carlos Eiras-Franco, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos |
| 2022 | KES | Sustainable Personalisation and Explainability in Dyadic Data Systems. | Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos |
| 2019 | DATA | Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings. | Carlos Eiras-Franco, Miguel Flores, Vernica Boln-Canedo, Sonia Zaragoza, Rubn Fernndez-Casal, Salvador Naya, Javier Tarro-Saavedra |
| 2017 | ESANN | Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. | Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martnez-Rego |