Maria Mahbub - RankMe

18 papers A* 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging large language models to automate the identification of healthcare access barriers for veterans. Int. J. Medical Informatics Sudarshan Srinivasan, Caitlin Rizy, Maria Mahbub, David Bolme, Alina Peluso, Jodie Trafton, Ioana Danciu
2025	J	`jnl`	Adaptive anomaly detection for identifying attacks in cyber-physical systems: A systematic literature review. Artif. Intell. Rev. Pablo Moriano, Steven C. Hespeler, Mingyan Li, Maria Mahbub
2025	J	`jnl`	HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data. CoRR Maria Mahbub, Robert J. Klein, Myvizhi Esai Selvan, Rowena Yip, Claudia I. Henschke, Providencia Morales, Ian Goethert, Olivera Kotevska, Mayanka Chandra Shekar, Sean R. Wilkinson, Eileen McAllister, Samuel M. Aguayo, Zeynep H. Gümüs, Ioana Danciu, VA Million Veteran Program
2025	J	`jnl`	ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property. CoRR Maria Mahbub, Vanessa Lama, Sanjay Das, Brian Starks, Christopher Polchek, Saffell Silvers, Lauren Deck, Prasanna Balaprakash, Tirthankar Ghosal
2024	J	`jnl`	A Compound Data Poisoning Technique with Significant Adversarial Effects on Transformer-based Sentiment Classification Tasks. ACM J. Data Inf. Qual. Edmon Begoli, Maria Mahbub, Linsey Passarella, Sudarshan Srinivasan
2024	J	`jnl`	Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review. CoRR Pablo Moriano, Steven C. Hespeler, Mingyan Li, Maria Mahbub
2024	J	`jnl`	Advancing NLP Security by Leveraging LLMs as Adversarial Engines. CoRR Sudarshan Srinivasan, Maria Mahbub, Amir Sadovnik
2024	J	`jnl`	Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images. CoRR Arka Daw, Megan Hong-Thanh Chung, Maria Mahbub, Amir Sadovnik
2024	J	`jnl`	Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach. CoRR Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight
2024	—	`conf`	Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models. AISec@CCS Camila Roa, Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Amir Sadovnik
2023	J	`jnl`	Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes. CoRR Maria Mahbub, Ian Goethert, Ioana Danciu, Kathryn Knight, Sudarshan Srinivasan, Suzanne Tamang, Karine Rozenberg-Ben-Dror, Hugo Solares, Susana B. Martins, Edmon Begoli, Gregory D. Peterson
2023	J	`jnl`	cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning. IEEE Access Maria Mahbub, Edmon Begoli, Susana B. Martins, Alina Peluso, Suzanne Tamang, Gregory D. Peterson
2022	J	`jnl`	BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task. CoRR Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D. Peterson
2022	J	`jnl`	BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task. Bioinform. Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Gregory D. Peterson
2022	A*	`conf`	Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. SIGIR Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub
2021	—	`conf`	Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks. SP (Workshops) Sudarshan Srinivasan, Edmon Begoli, Maria Mahbub, Kathryn Knight
2021	J	`jnl`	The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations. CoRR Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli
2020	—	`conf`	The Transformers for Polystores - The Next Frontier for Polystore Research. Poly/DMAH@VLDB Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub