An Ensemble Approach for Aggression Identification in English and Hindi Text. - Arjun Roy 001; Prashant Kapil; Kingshuk Basak; Asif Ekbal (TRAC@COLING 2018, 2018)

A Deep Ensemble Framework for Fake News Detection and Classification. - Arjun Roy 001; Kingshuk Basak; Asif Ekbal; Pushpak Bhattacharyya (CoRR, 2018)

Fair-Capacitated Clustering. - Tai Le Quy; Arjun Roy 001; Gunnar Friege; Eirini Ntoutsi (EDM, 2021)

MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification. - Arjun Roy 001; Asif Ekbal (IJCNN, 2021)

Multi-Fair Pareto Boosting. - Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (CoRR, 2021)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (CoRR, 2021)

Multi-fairness Under Class-Imbalance. - Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (DS, 2022)

Learning to Teach Fairness-Aware Deep Multi-task Learning. - Arjun Roy 001; Eirini Ntoutsi (ECML/PKDD (1), 2022)

Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. - Arjun Roy 001; Pavlos Fafalios; Asif Ekbal; Xiaofei Zhu; Stefan Dietze (J. Intell. Inf. Syst., 2022)

Parity-based cumulative fairness-aware boosting. - Vasileios Iosifidis; Arjun Roy 001; Eirini Ntoutsi (Knowl. Inf. Syst., 2022)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Wenbin Zhang 002; Eirini Ntoutsi (WIREs Data Mining Knowl. Discov., 2022)

Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview. - Arjun Roy 001; Jan Horstmann; Eirini Ntoutsi (FAccT, 2023)

FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning. - Arjun Roy 001; Christos Koutlis; Symeon Papadopoulos; Eirini Ntoutsi (CoRR, 2023)

Exploring Fusion Techniques in Multimodal Ai-based Recruitment: Insights From Faircvdb. - Swati; Arjun Roy 001; Eirini Ntoutsi (EWAF, 2024)

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning. - Arjun Roy 001; Christos Koutlis; Symeon Papadopoulos; Eirini Ntoutsi (IJCNN, 2024)

Adversarial Robustness of VAEs across Intersectional Subgroups. - Chethan Krishnamurthy Ramanaik; Arjun Roy 001; Eirini Ntoutsi (CoRR, 2024)

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study. - Emmanouil Panagiotou; Arjun Roy 001; Eirini Ntoutsi (CoRR, 2024)

Achieving Socio-Economic Parity through the Lens of EU AI Act. - Arjun Roy 001; Stavroula Rizou; Symeon Papadopoulos; Eirini Ntoutsi (FAccT, 2025)

ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders. - Chethan Krishnamurthy Ramanaik; Arjun Roy 001; Eirini Ntoutsi (CoRR, 2025)