Ignacio Serna - RankMe

35 papers A 1B 5Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Rapid Test for Accuracy and Bias of Face Recognition Technology. WACV Manuel Knott, Ignacio Serna, Ethan Mann, Pietro Perona
2025	J	`jnl`	A Rapid Test for Accuracy and Bias of Face Recognition Technology. CoRR Manuel Knott, Ignacio Serna, Ethan Mann, Pietro Perona
2025	J	`jnl`	Cultural Alien Sampler: Open-ended art generation balancing originality and coherence. CoRR Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann, Mar Canet Sola, Hassan Abu Alhaija, Ignacio Serna, Nasim Rahaman, Bernhard Schölkopf, Iyad Rahwan
2025	J	`jnl`	Latent Feature Alignment: Discovering Biased and Interpretable Subpopulations in Face Recognition Models. CoRR Ignacio Serna
2024	J	`jnl`	Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art. CoRR Alejandro Hernandez, Levin Brinkmann, Ignacio Serna, Nasim Rahaman, Hassan Abu Alhaija, Hiromu Yakura, Mar Canet Sola, Bernhard Schölkopf, Iyad Rahwan
2024	J	`jnl`	Empirical evidence of Large Language Model's influence on human spoken communication. CoRR Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann, Ignacio Serna, Prateek Gupta, Iyad Rahwan
2024	—	`—`	Understanding bas at multiple levels in computer vision algorithms with a focus on Face Recognition ; Comprendiendo el sesgo a Mmúltiples niveles en algoritmos de visión artificial con aplicación al Reconocimiento Facial. Ignacio Serna
2023	J	`jnl`	Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment. SN Comput. Sci. Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia
2023	J	`jnl`	Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment. CoRR Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia
2023	—	`conf`	Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs. ICDAR Workshops (1) Alejandro Peña, Aythami Morales, Julian Fiérrez, Ignacio Serna, Javier Ortega-Garcia, Iñigo Puente, Jorge Córdova, Gonzalo Cordova
2023	J	`jnl`	Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs. CoRR Alejandro Peña, Aythami Morales, Julian Fiérrez, Ignacio Serna, Javier Ortega-Garcia, Iñigo Puente, Jorge Córdova, Gonzalo Cordova
2023	J	`jnl`	Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach. CoRR Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia
2023	B	`conf`	Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma. COMPSAC Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia
2023	J	`jnl`	OTB-morph: One-Time Biometrics via Morphing. CoRR Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Aythami Morales, Ignacio Serna
2023	J	`jnl`	OTB-morph: One-time Biometrics via Morphing. Mach. Intell. Res. Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Aythami Morales, Ignacio Serna
2022	J	`jnl`	FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment. CoRR Javier Hernandez-Ortega, Julian Fiérrez, Ignacio Serna, Aythami Morales
2022	—	`conf`	IFBiD: Inference-Free Bias Detection. SafeAI@AAAI Ignacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia
2022	—	`conf`	OTB-morph: One-Time Biometrics via Morphing applied to Face Templates. WACV (Workshops) Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Ignacio Serna, Aythami Morales
2022	J	`jnl`	Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning. Artif. Intell. Ignacio Serna, Aythami Morales, Julian Fiérrez, Nick Obradovich
2022	J	`jnl`	SetMargin loss applied to deep keystroke biometrics with circle packing interpretation. Pattern Recognit. Aythami Morales, Julian Fiérrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna
2021	B	`conf`	FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment. FG Javier Hernandez-Ortega, Julian Fiérrez, Ignacio Serna, Aythami Morales
2021	B	`conf`	Facial Expressions as a Vulnerability in Face Recognition. ICIP Alejandro Peña, Aythami Morales, Ignacio Serna, Julian Fiérrez, Àgata Lapedriza
2021	J	`jnl`	IFBiD: Inference-Free Bias Detection. CoRR Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia
2021	J	`jnl`	OTB-morph: One-Time Biometrics via Morphing applied to Face Templates. CoRR Mahdi Ghafourian, Julian Fiérrez, Rubén Vera-Rodríguez, Ignacio Serna, Aythami Morales
2021	J	`jnl`	SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation. CoRR Aythami Morales, Julian Fiérrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna
2020	—	`conf`	Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics. SafeAI@AAAI Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan
2020	—	`conf`	Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. CVPR Workshops Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez
2020	J	`jnl`	Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. CoRR Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez
2020	J	`jnl`	Facial Expressions as a Vulnerability in Face Recognition. CoRR Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Àgata Lapedriza
2020	B	`conf`	FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. ICMI Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez
2020	J	`jnl`	FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. CoRR Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez
2020	B	`conf`	InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. ICPR Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez
2020	J	`jnl`	InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. CoRR Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez
2020	J	`jnl`	SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning. CoRR Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan
2019	J	`jnl`	Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics. CoRR Ignacio Serna, Aythami Morales, Julian Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan