Rashida Hasan

13 papers C 5Misc 1Journal 1Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Evaluating the Vulnerability of Deepfake Image Detection Models to Adversarial Manipulations.
ISDFS
Prakriti Shakya, Katya Mkrtchyan, Rashida Hasan
2026 C conf
Going beyond Majority Vote: Composite-Aware Soft Voting in Random Forest.
ICPRAM
Cody Laurie, Martin Ha, Elijah Sagaran, Rashida Hasan
2026 — conf
Normalizing Flow for Financial Anomaly Detection: the Impact of Loss Function.
ISDFS
Amir Rashidi, Ruobin Qi, Rashida Hasan
2026 C conf
Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling.
ICPRAM
Luis Olmos, Rashida Hasan
2026 J jnl
Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling.
CoRR
Luis Olmos, Rashida Hasan
2025 — conf
A Comparative Analysis of Object Detection Models for Plant Leaf Counting Under Overlapping Foliage Conditions.
ICDM (Workshops)
Elijah Sagaran, Martin Ha, Olena Molla, Shanlin Qian, Rahi Misra, Mario Giraldo, Rashida Hasan, Li Liu, Xunfei Jiang
2025 C conf
A Feature-based Linguistic and Statistical Framework for AI-Generated Text Detection.
ICMLA
Vaishnavi Sen, Rashida Hasan
2025 — conf
A Multi-Snapshot Sketching Framework for Anomaly Detection in Streaming Graphs.
ICDM (Workshops)
Luis Olmos, Rashida Hasan
2025 — conf
An Adaptive and Unsupervised Graph-based Approach for Fake News Detection.
COINS
Manish Vikrama, Monitha Davuluri, Rashida Hasan
2025 C conf
An Autoencoder-based Feature Selection with Optimized Reconstruction Loss and Feature Scoring.
ICMLA
Monitha Davuluri, Manish Vikrama, Rashida Hasan
2024 Misc conf
A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning.
SAC
Rashida Hasan, Chee-Hung Henry Chu
2022 — conf
DRN: Detection and Removal of Noisy Instances with Self Organizing Map.
ICPRAI (2)
Rashida Hasan, Chee-Hung Henry Chu
2022 C conf
Noise in Datasets: What Are the Impacts on Classification Performance?
ICPRAM
Rashida Hasan, Chee-Hung Henry Chu