Alejandro Acien

Orcid: 0000-0002-2689-1257

According to our database1, Alejandro Acien authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach.
J. Am. Medical Informatics Assoc., 2024

2023
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
TypeNet: Deep Learning Keystroke Biometrics.
IEEE Trans. Biom. Behav. Identity Sci., 2022

Mobile behavioral biometrics for passive authentication.
Pattern Recognit. Lett., 2022

SetMargin loss applied to deep keystroke biometrics with circle packing interpretation.
Pattern Recognit., 2022

BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection.
Pattern Recognit., 2022

Statistical Keystroke Synthesis for Improved Bot Detection.
CoRR, 2022

Mobile Passive Authentication through Touchscreen and Background Sensor Data.
Proceedings of the International Workshop on Biometrics and Forensics, 2022

2021
BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb.
Eng. Appl. Artif. Intell., 2021

2020
BeCAPTCHA: Bot Detection in Smartphone Interaction using Touchscreen Biometrics and Mobile Sensors.
CoRR, 2020

Be-CAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors.
CoRR, 2020

Assessing the Quality of Swipe Interactions for Mobile Biometric Systems.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

TypeNet: Scaling up Keystroke Biometrics.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Modeling the Complexity of Signature and Touch-Screen Biometrics using the Lognormality Principle.
Proceedings of the Lognormality Principle and its Applications in e-Security, 2020

2019
Active detection of age groups based on touch interaction.
IET Biom., 2019

Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease.
CoRR, 2019

MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns.
CoRR, 2019

Keystroke Mobile Authentication: Performance of Long-Term Approaches and Fusion with Behavioral Profiling.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Characterization of the Handwriting Skills as a Biomarker for Parkinson's Disease.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018
Measuring the Gender and Ethnicity Bias in Deep Models for Face Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2015
e-BioSign tool: Towards scientific assessment of dynamic signatures under forensic conditions.
Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015


  Loading...