Rashida Hasan

According to our database, Rashida Hasan authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Evaluating the Vulnerability of Deepfake Image Detection Models to Adversarial Manipulations.

Prakriti Shakya, Katya Mkrtchyan, Rashida Hasan

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

Normalizing Flow for Financial Anomaly Detection: the Impact of Loss Function.

Amir Rashidi, Ruobin Qi, Rashida Hasan

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling.

Luis Olmos, Rashida Hasan

Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, 2026

Going beyond Majority Vote: Composite-Aware Soft Voting in Random Forest.

Cody Laurie, Martin Ha, Elijah Sagaran, Rashida Hasan

Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, 2026

2025

A Feature-based Linguistic and Statistical Framework for AI-Generated Text Detection.

Vaishnavi Sen, Rashida Hasan

Proceedings of the International Conference on Machine Learning and Applications, 2025

An Autoencoder-based Feature Selection with Optimized Reconstruction Loss and Feature Scoring.

Monitha Davuluri, Manish Vikrama, Rashida Hasan

Proceedings of the International Conference on Machine Learning and Applications, 2025

A Comparative Analysis of Object Detection Models for Plant Leaf Counting Under Overlapping Foliage Conditions.

Elijah Sagaran, Martin Ha, Olena Molla, Shanlin Qian, Rahi Misra, Mario Giraldo, Rashida Hasan, Li Liu, Xunfei Jiang

Proceedings of the IEEE International Conference on Data Mining, 2025

A Multi-Snapshot Sketching Framework for Anomaly Detection in Streaming Graphs.

Luis Olmos, Rashida Hasan

Proceedings of the IEEE International Conference on Data Mining, 2025

An Adaptive and Unsupervised Graph-based Approach for Fake News Detection.

Manish Vikrama, Monitha Davuluri, Rashida Hasan

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

2024

A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning.

Rashida Hasan, Chee-Hung Henry Chu

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2022

Noise in Datasets: What Are the Impacts on Classification Performance?

Rashida Hasan, Chee-Hung Henry Chu

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

DRN: Detection and Removal of Noisy Instances with Self Organizing Map.

Rashida Hasan, Chee-Hung Henry Chu

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022