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ORCIDArjun Roy 0001
Person information
- affiliation: Leibniz University of Hannover, L3S Research Center, Hannover, Germany
- affiliation: Free University of Berlin, Germany
Other persons with the same name
- Arjun Roy — disambiguation page
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2020 – today
- 2024
[c7]Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi:
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning. IJCNN 2024: 1-8- [i12]Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi:
Adversarial Robustness of VAEs across Intersectional Subgroups. CoRR abs/2407.03864 (2024) - [i11]Swati Swati, Arjun Roy, Eirini Ntoutsi:
Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb. CoRR abs/2407.16892 (2024) - [i10]Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi:
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study. CoRR abs/2409.05215 (2024) - 2023
- [c6]Arjun Roy
, Jan Horstmann, Eirini Ntoutsi:
Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview. FAccT 2023: 89-100 - [i9]Arjun Roy, Jan Horstmann, Eirini Ntoutsi:
Multi-dimensional discrimination in Law and Machine Learning - A comparative overview. CoRR abs/2302.05995 (2023) - [i8]Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi:
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning. CoRR abs/2310.13746 (2023) - 2022
- [j3]Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. J. Intell. Inf. Syst. 58(1): 1-19 (2022) - [j2]Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi:
Parity-based cumulative fairness-aware boosting. Knowl. Inf. Syst. 64(10): 2737-2770 (2022) - [j1]Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi:
A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. 12(3) (2022) - [c5]Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi:
Multi-fairness Under Class-Imbalance. DS 2022: 286-301 - [c4]Arjun Roy, Eirini Ntoutsi:
Learning to Teach Fairness-Aware Deep Multi-task Learning. ECML/PKDD (1) 2022: 710-726 - [i7]Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi:
Parity-based Cumulative Fairness-aware Boosting. CoRR abs/2201.01148 (2022) - [i6]Arjun Roy, Eirini Ntoutsi:
Learning to Teach Fairness-aware Deep Multi-task Learning. CoRR abs/2206.08403 (2022) - 2021
- [c3]Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi:
Fair-Capacitated Clustering. EDM 2021 - [c2]Arjun Roy, Asif Ekbal:
MulCoB-MulFaV: Multimodal Content Based Multilingual Fact Verification. IJCNN 2021: 1-8 - [i5]Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi:
Fair-Capacitated Clustering. CoRR abs/2104.12116 (2021) - [i4]Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi:
Multi-Fair Pareto Boosting. CoRR abs/2104.13312 (2021) - [i3]Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi:
A survey on datasets for fairness-aware machine learning. CoRR abs/2110.00530 (2021) - 2020
- [i2]Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. CoRR abs/2007.15121 (2020)
2010 – 2019
- 2018
- [c1]Arjun Roy, Prashant Kapil, Kingshuk Basak, Asif Ekbal:
An Ensemble Approach for Aggression Identification in English and Hindi Text. TRAC@COLING 2018 2018: 66-73 - [i1]Arjun Roy, Kingshuk Basak, Asif Ekbal, Pushpak Bhattacharyya:
A Deep Ensemble Framework for Fake News Detection and Classification. CoRR abs/1811.04670 (2018)
Coauthor Index
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