Block Randomized Optimization for Adaptive Hypergraph Learning. - George Karantaidis; Ioannis Sarridis; Constantine Kotropoulos (ICIP, 2019)

Neural Factorization Applied to Interaction Matrix for Recommendation. - Ioannis Sarridis; Constantine Kotropoulos (EUSIPCO, 2021)

Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation. - Georgios Karantaidis; Ioannis Sarridis; Constantine Kotropoulos (Signal Process. Image Commun., 2021)

Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models. - Ioannis Sarridis; Christos Koutlis; Olga Papadopoulou; Symeon Papadopoulos (BigMM, 2022)

Image Driven Optimal Personalized Route Recommendation. - Ioannis Sarridis; Georgios Karantaidis; Constantine Kotropoulos (IVMSP, 2022)

InDistill: Transferring Knowledge From Pruned Intermediate Layers. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Ioannis Kompatsiaris (CoRR, 2022)

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou (PKDD/ECML Workshops (1), 2023)

An Autoregressive Graph Convolutional Long Short-Term Memory Hybrid Neural Network for Accurate Prediction of COVID-19 Cases. - Myrsini Ntemi; Ioannis Sarridis; Constantine Kotropoulos (IEEE Trans. Comput. Soc. Syst., 2023)

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes. - Georgia Baltsou; Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos (FG, 2024)

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou (ICMR, 2024)

FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (WACV (Workshops), 2024)

BAdd: Bias Mitigation through Bias Addition. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou (CoRR, 2024)

MAVias: Mitigate any Visual Bias. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou (CoRR, 2024)

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. - Pietro Melzi; Ruben Tolosana; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Ivan DeAndres-Tame; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Weisong Zhao; Xiangyu Zhu 001; et al. (Inf. Fusion, 2024)

Face-swapping Based Data Augmentation for ID Document and Selfie Face Verification. - Elmokhtar Mohamed Moussa; Ioannis Sarridis; Emmanouil Krasanakis; Nathan Ramoly; Symeon Papadopoulos; Ahmad Montaser Awal; Lara Younes (WACV (Workshops), 2025)

InDistill: Information flow-preserving knowledge distillation for model compression. - Ioannis Sarridis; Christos Koutlis; Giorgos Kordopatis-Zilos; Ioannis Kompatsiaris; Symeon Papadopoulos (WACV, 2025)

Mitigating Viewer Impact From Disturbing Imagery Using AI Filters: A User-Study. - Ioannis Sarridis; Jochen Spangenberg; Olga Papadopoulou; Symeon Papadopoulos (Int. J. Hum. Comput. Interact., 2025)

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation. - Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou (CoRR, 2025)