Mass Detection in Mammograms Using a Robust Deep Learning Model. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Rami Haffar; Nidhi Pandey; Md. Mostafa Kamal Sarker; Sebastian Kohan; Josep Guma; Santiago Romaní; Domenec Puig (CCIA, 2019)

Explaining Misclassification and Attacks in Deep Learning via Random Forests. - Rami Haffar; Josep Domingo-Ferrer; David Sánchez 001 (MDAI, 2020)

Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning. - Najeeb Moharram Jebreel; Rami Haffar; Ashneet Khandpur Singh; David Sánchez 001; Josep Domingo-Ferrer; Alberto Blanco-Justicia (PSD, 2020)

Explaining Image Misclassification in Deep Learning via Adversarial Examples. - Rami Haffar; Najeeb Moharram Jebreel; Josep Domingo-Ferrer; David Sánchez 001 (MDAI, 2021)

Measuring Fairness in Machine Learning Models via Counterfactual Examples. - Rami Haffar; Ashneet Khandpur Singh; Josep Domingo-Ferrer; Najeeb Jebreel (MDAI, 2022)

Generating Deep Learning Model-Specific Explanations at the End User's Side. - Rami Haffar; Najeeb Jebreel; David Sánchez 001; Josep Domingo-Ferrer (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022)

Explaining predictions and attacks in federated learning via random forests. - Rami Haffar; David Sánchez 001; Josep Domingo-Ferrer (Appl. Intell., 2023)

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. - Rami Haffar; Francesca Naretto; David Sánchez 001; Anna Monreale; Josep Domingo-Ferrer (FUZZ, 2024)

Contributions to Explainability and Attack Detection in Deep Learning - Rami Haffar (2024)

Multi-Task Faces (MTF) dataset. - Rami Haffar (IEEE DataPort, 2024)

Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks. - Rami Haffar; David Sánchez 001; Josep Domingo-Ferrer (IEEE Access, 2025)