Maryam Badar

Computational Methods for Exudates Detection and Macular Edema Estimation in Retinal Images: A Survey

M. Fraz, S. Barman, A. Malik, 2018, Archives of Computational Methods in Engineering.

Segmentation of Ocular Pathologies Using Deep Convolutional Neural Network

Maryam Badar, Muhammad Haris, Amna Abdalla Mohammed Khalid, 2019, 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).

Discrimination and Class Imbalance Aware Online Naive Bayes

W. Nejdl, Maryam Badar, M. Fisichella, 2022, ArXiv.

Computational Methods for Exudates Detection and Macular Edema Estimation in Retinal Images: A Survey

S. A. Barman, M. Fraz, Maryam Badar, 2018, Archives of Computational Methods in Engineering.

A Review of the Role of Causality in Developing Trustworthy AI Systems

Gourab K. Patro, Manolis Koubarakis, W. Nejdl, 2023, ArXiv.

MODELING SAFEST AND OPTIMAL EMERGENCY EVACUATION PLAN FOR LARGE-SCALE PEDESTRIANS ENVIRONMENTS

Imran Mahmood, Muhammad Haris, Maryam Badar, 2018, 2018 Winter Simulation Conference (WSC).

Application of deep learning for retinal image analysis: A review

Muhammad Haris, Maryam Badar, Anam Fatima, 2020, Comput. Sci. Rev..

Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network

Muhammad Moazam Fraz, Maryam Badar, M. Shahzad, 2018, MIUA.

FAC-fed: Federated adaptation for fairness and concept drift aware stream classification

W. Nejdl, Maryam Badar, M. Fisichella, 2023, Machine Learning.

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Sandipan Sikdar, Maryam Badar, M. Fisichella, 2024, AAAI.

Analyzing Effect of Crowd Formations on Evacuation Plans using Crowd Simulation and Analysis Framework

Maryam Badar, Muhammad Haris, Azhar Mohd Ibrahim, 2022 .