Feature engineering of EEG applied to mental disorders: a systematic mapping study S García-Ponsoda, J García-Carrasco, MA Teruel, A Maté, J Trujillo Applied Intelligence 53 (20), 23203-23243, 2023 | 14 | 2023 |
A methodology based on rebalancing techniques to measure and improve fairness in artificial intelligence algorithms A Lavalle, A Maté, J Trujillo, J García Carrasco CEUR, 2022 | 5 | 2022 |
Law modeling for fairness requirements elicitation in artificial intelligence systems A Lavalle, A Maté, J Trujillo, J García-Carrasco International Conference on Conceptual Modeling, 423-432, 2022 | 4 | 2022 |
Detecting and understanding vulnerabilities in language models via mechanistic interpretability J García-Carrasco, A Maté, J Trujillo arXiv preprint arXiv:2407.19842, 2024 | 3 | 2024 |
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability J García-Carrasco, A Maté, JC Trujillo International Conference on Artificial Intelligence and Statistics, 3322-3330, 2024 | 3 | 2024 |
A data-driven methodology for guiding the selection of preprocessing techniques in a machine learning pipeline J García-Carrasco, A Maté, J Trujillo International Conference on Advanced Information Systems Engineering, 34-42, 2023 | 2 | 2023 |
Exploration and Implementation of Quantum Phase Estimation Algorithms J García Carrasco | | 2020 |
A Conceptual Model-Based Approach for Exploiting Large Language Model Embeddings in Automatic Data Integration J García-Carrasco, A Reina, A Lavalle, A Maté, J Trujillo Available at SSRN 5024901, 0 | | |
Do Different Language Models Share Task-Specific Mechanisms? A Mechanistic Interpretability Analysis J García-Carrasco, A Maté, J Trujillo A Mechanistic Interpretability Analysis, 0 | | |