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Maryam Badar
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 8
Top Topics
Deep Learning
Naive Bayes
Concept Drift
Majority Class
Top Venues
CoRR
Mach. Learn.
MIUA
Comput. Sci. Rev.
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Publications
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Maryam Badar
,
Marco Fisichella
Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization.
Big Data Cogn. Comput.
8 (2) (2024)
Maryam Badar
,
Sandipan Sikdar
,
Wolfgang Nejdl
,
Marco Fisichella
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning.
AAAI
(2024)
Maryam Badar
,
Wolfgang Nejdl
,
Marco Fisichella
FAC-fed: Federated adaptation for fairness and concept drift aware stream classification.
Mach. Learn.
112 (8) (2023)
Niloy Ganguly
,
Dren Fazlija
,
Maryam Badar
,
Marco Fisichella
,
Sandipan Sikdar
,
Johanna Schrader
,
Jonas Wallat
,
Koustav Rudra
,
Manolis Koubarakis
,
Gourab K. Patro
,
Wadhah Zai El Amri
,
Wolfgang Nejdl
A Review of the Role of Causality in Developing Trustworthy AI Systems.
CoRR
(2023)
Maryam Badar
,
Marco Fisichella
,
Vasileios Iosifidis
,
Wolfgang Nejdl
Discrimination and Class Imbalance Aware Online Naive Bayes.
CoRR
(2022)
Maryam Badar
,
Muhammad Haris
,
Anam Fatima
Application of deep learning for retinal image analysis: A review.
Comput. Sci. Rev.
35 (2020)
Muhammad Haris
,
Imran Mahmood
,
Maryam Badar
,
Muhammad Saad Qaisar Alvi
Modeling Safest and Optimal Emergency Evacuation Plan for Large-Scale Pedestrians Environments.
WSC
(2018)
Maryam Badar
,
Muhammad Shahzad
,
M. M. Fraz
Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network.
MIUA
(2018)