Arjun Roy

According to our database, Arjun Roy authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study.

Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi

CoRR, 2024

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb.

Swati Swati, Arjun Roy, Eirini Ntoutsi

CoRR, 2024

Adversarial Robustness of VAEs across Intersectional Subgroups.

Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi

CoRR, 2024

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning.

Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.

Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi

CoRR, 2023

Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview.

Arjun Roy, Jan Horstmann, Eirini Ntoutsi

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

WIREs Data Mining Knowl. Discov., 2022

Parity-based cumulative fairness-aware boosting.

Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi

Knowl. Inf. Syst., 2022

Exploiting stance hierarchies for cost-sensitive stance detection of Web documents.

Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze

J. Intell. Inf. Syst., 2022

Learning to Teach Fairness-Aware Deep Multi-task Learning.

Arjun Roy, Eirini Ntoutsi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-fairness Under Class-Imbalance.

Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

Multi-Fair Pareto Boosting.

Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification.

Arjun Roy, Asif Ekbal

Proceedings of the International Joint Conference on Neural Networks, 2021

Fair-Capacitated Clustering.

Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2018

A Deep Ensemble Framework for Fake News Detection and Classification.

Arjun Roy, Kingshuk Basak, Asif Ekbal, Pushpak Bhattacharyya

CoRR, 2018

An Ensemble Approach for Aggression Identification in English and Hindi Text.

Arjun Roy, Prashant Kapil, Kingshuk Basak, Asif Ekbal

Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, 2018