Ignacio Serna

According to our database, Ignacio Serna authored at least 17 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

OTB-morph: One-time Biometrics via Morphing.

Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Aythami Morales, Ignacio Serna

Mach. Intell. Res., December, 2023

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment.

Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia

SN Comput. Sci., September, 2023

Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach.

Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia

CoRR, 2023

Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs.

Alejandro Peña, Aythami Morales, Julian Fiérrez, Ignacio Serna, Javier Ortega-Garcia, Iñigo Puente, Jorge Córdova, Gonzalo Cordova

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma.

Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

SetMargin loss applied to deep keystroke biometrics with circle packing interpretation.

Aythami Morales, Julian Fiérrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna

Pattern Recognit., 2022

Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning.

Ignacio Serna, Aythami Morales, Julian Fiérrez, Nick Obradovich

Artif. Intell., 2022

OTB-morph: One-Time Biometrics via Morphing applied to Face Templates.

Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Ignacio Serna, Aythami Morales

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

IFBiD: Inference-Free Bias Detection.

Ignacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

IFBiD: Inference-Free Bias Detection.

Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia

CoRR, 2021

Facial Expressions as a Vulnerability in Face Recognition.

Alejandro Peña, Aythami Morales, Ignacio Serna, Julian Fiérrez, Àgata Lapedriza

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment.

Javier Hernandez-Ortega, Julian Fiérrez, Ignacio Serna, Aythami Morales

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning.

Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan

CoRR, 2020

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics.

Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez

Proceedings of the 25th International Conference on Pattern Recognition, 2020

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment.

Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment.

Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics.

Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan

Proceedings of the Workshop on Artificial Intelligence Safety, 2020