• Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence 

      Manresa-Yee, Cristina; Ramis, Silvia; Buades, José M. (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing personalized services. Data for machine learning ...
    • OBOE: an Explainable Text Classification Framework 

      del Águila Escobar, Raúl A.; Suárez-Figueroa, Mari Carmen; Fernández-López, Mariano (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Explainable Artificial Intelligence (XAI) has recently gained visibility as one of the main topics of Artificial Intelligence research due to, among others, the need to provide a meaningful justification of the reasons ...
    • STEG-XAI: explainable steganalysis in images using neural networks 

      Kuchumova, Eugenia; Martínez-Monterrubio, Sergio Mauricio; Recio-Garcia, Juan A. (Multimedia Tools and Applications, 2024)
      Multimedia content’s development and technological evolution have enhanced and even facilitated the application of steganography as a means to introduce hidden messages for cybercrime-related purposes. Artificial intelligence ...
    • Symbolic AI for XAI: Evaluating LFIT inductive programming for explaining biases in machine learning 

      Ortega, Alfonso; Fierrez, Julian; Morales, Aythami; Wang, Zilong; de la Cruz, Marina (MDPI, 2021)
      Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) ...
    • Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning 

      Ortega, Alfonso; Fierrez, Julian; Morales, Aythami; Wang, Zilong; De la Cruz, Marina; Alonso, César Luis; Ribeiro, Tony (Computers, 2021)
      Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) ...