Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools. - Denysde Medina Sotolongo; Natalia Martínez; Zoila Zenaida García; María del Carmen Chávez; María Matilde García Lorenzo (IWINAC (2), 2007)

Features Selection Through FS-Testors in Case-Based Systems of Teaching-Learning. - Natalia Martínez; Maikel León; Zoila Zenaida García (MICAI, 2007)

A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain. - Mauricio González; Javier Schandy; Nicolás Wainstein; Martín Bertrán; Natalia Martínez; Leonardo Barboni; Álvaro Gómez (AMMDS, 2014)

An open tool for input function estimation and quantification of dynamic PET FDG brain scans. - Martín Bertrán; Natalia Martínez; Guillermo Carbajal; Alicia Fernández; Álvaro Gómez (Int. J. Comput. Assist. Radiol. Surg., 2016)

Learning to Collaborate for User-Controlled Privacy. - Martín Bertrán; Natalia Martínez; Afroditi Papadaki; Qiang Qiu 001; Miguel R. D. Rodrigues; Guillermo Sapiro (CoRR, 2018)

Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video. - Natalia Martínez; Martín Bertrán; Guillermo Sapiro; Hau-Tieng Wu (ICIP, 2019)

Adversarially Learned Representations for Information Obfuscation and Inference. - Martín Bertrán; Natalia Martínez; Afroditi Papadaki; Qiang Qiu 001; Miguel R. D. Rodrigues; Galen Reeves; Guillermo Sapiro (ICML, 2019)

Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare. - Natalia Martínez; Martín Bertrán; Guillermo Sapiro (CoRR, 2019)

Minimax Pareto Fairness: A Multi Objective Perspective. - Natalia Martínez; Martín Bertrán; Guillermo Sapiro (ICML, 2020)

Attention-Based Network for Weak Labels in Neonatal Seizure Detection. - Dmitry Yu. Isaev; Dmitry Tchapyjnikov; C. Michael Cotten; David Tanaka; Natalia Martínez; Martín Bertrán; Guillermo Sapiro; David E. Carlson (MLHC, 2020)

Instance-based Generalization in Reinforcement Learning. - Martín Bertrán; Natalia Martínez; Mariano Phielipp; Guillermo Sapiro (NeurIPS, 2020)

Blind Pareto Fairness and Subgroup Robustness. - Natalia Martínez; Martín Bertrán; Afroditi Papadaki; Miguel R. D. Rodrigues; Guillermo Sapiro (ICML, 2021)

Federating for Learning Group Fair Models. - Afroditi Papadaki; Natalia Martínez; Martín Bertrán; Guillermo Sapiro; Miguel R. D. Rodrigues (CoRR, 2021)

Distributionally Robust Group Backwards Compatibility. - Martín Bertrán; Natalia Martínez; Alex Oesterling; Guillermo Sapiro (CoRR, 2021)

Minimax Demographic Group Fairness in Federated Learning. - Afroditi Papadaki; Natalia Martínez; Martín Bertrán; Guillermo Sapiro; Miguel R. D. Rodrigues (FAccT, 2022)

Minimax Fairness in Machine Learning. - Natalia Martínez (2022)

Self-Calibrating Circuit for Implantable Current Stimulators. - Natalia Martínez; Matías R. Miguez; Juan Sapriza; Joel Gak; Alfredo Arnaud (LASCAS, 2023)

Ultra-Low Power Heart Rate Estimation with VCO-based ADCs. - Leidy Mabel Alvero-Gonzalez; Carlos Perez; Natalia Martínez; Ana Mejon; Eric Gutierrez (PRIME, 2023)

Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers. - Natalia Martínez; Martín Bertrán; Guillermo Sapiro (AISTATS, 2024)

Federated Fairness without Access to Sensitive Groups. - Afroditi Papadaki; Natalia Martínez; Martín Bertrán; Guillermo Sapiro; Miguel R. D. Rodrigues (CoRR, 2024)

A programmable charge-balanced current stimulation circuit for implantable medical devices. - Leonardo Agis; Natalia Martínez; Augusto Sbarbaro-Benech; Alfredo Arnaud; Matías R. Miguez (ISCAS, 2025)

A SoC for an active implantable microsystem for closed-loop optogenetic neuromodulation. - Natalia Martínez; Berkay Özbek; Yan Liu 016; Dorian Haci; Peilong Feng; Ahmad Shah Idil; Sara S. Ghoreishizadeh; Nick Donaldson; Patrick Degenaar; Andrew Jackson 001; Timothy G. Constandinou (ISCAS, 2025)

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces. - Natalia Martínez; Juan Sapriza; Pasquale Davide Schiavone; Giovanni Ansaloni; Luke Bashford; Andrew Jackson 001; David Atienza; Timothy G. Constandinou (ISCAS, 2025)