Sarah Masud Preum

According to our database, Sarah Masud Preum authored at least 52 papers between 2015 and 2024.

Collaborative distances:

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

2024

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product.

Madhusudan Basak, Omar Sharif, Sarah E. Lord, Jacob T. Borodovsky, Lisa A. Marsch, Sandra A. Springer, Edward Nunes, Charlie D. Brackett, Luke J. ArchiBald, Sarah M. Preum

CoRR, 2024

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences.

Subigya Nepal, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Orson Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas Jacobson, Mary Czerwinski, Eric L. Granholm, Andrew T. Campbell

CoRR, 2024

Depth F₁: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability.

Parker Seegmiller, Joseph Gatto, Sarah Masud Preum

CoRR, 2024

Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit.

Parker Seegmiller, Joseph Gatto, Omar Sharif, Madhusudan Basak, Sarah Masud Preum

CoRR, 2024

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse.

Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah Masud Preum

CoRR, 2024

Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data.

Joseph Gatto, Parker Seegmiller, Omar Sharif, Sarah Masud Preum

CoRR, 2024

Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse.

William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments.

Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah Masud Preum

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection.

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit.

Nur Yildirim, Susanna Zlotnikov, Deniz Sayar, Jeremy M. Kahn, Leigh A. Bukowski, Sher Shah Amin, Kathryn A. Riman, Billie S. Davis, John S. Minturn, Andrew J. King, Dan Ricketts, Lu Tang, Venkatesh Sivaraman, Adam Perer, Sarah Masud Preum, James McCann, John Zimmerman

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Deciphering Hate: Identifying Hateful Memes and Their Targets.

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Characterizing Information Seeking Events in Health-Related Social Discourse.

Omar Sharif, Madhusudan Basak, Tanzia Parvin, Ava Scharfstein, Alphonso Bradham, Jacob T. Borodovsky, Sarah E. Lord, Sarah Masud Preum

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones.

Arvind Pillai, Subigya Kumar Nepal, Weichen Wang, Matthew Nemesure, Michael V. Heinz, George D. Price, Damien Lekkas, Amanda C. Collins, Tess Griffin, Benjamin Buck, Sarah Masud Preum, Trevor Cohen, Nicholas C. Jacobson, Dror Ben-Zeev, Andrew T. Campbell

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

CitySpec with shield: A secure intelligent assistant for requirement formalization.

Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Preum, John A. Stankovic, Meiyi Ma

Pervasive Mob. Comput., 2023

Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts.

Joseph Gatto, Sarah Masud Preum

CoRR, 2023

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity.

Joseph Gatto, Omar Sharif, Parker Seegmiller, Philip Bohlman, Sarah Masud Preum

CoRR, 2023

CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization.

Zirong Chen, Issa Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma

CoRR, 2023

Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery.

William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum

CoRR, 2023

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence.

Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum

CoRR, 2023

HealthE: Recognizing Health Advice & Entities in Online Health Communities.

Joseph Gatto, Parker Seegmiller, Garrett M. Johnston, Madhusudan Basak, Sarah Masud Preum

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Scope of Pre-trained Language Models for Detecting Conflicting Health Information.

Joseph Gatto, Madhusudan Basak, Sarah Masud Preum

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints.

Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Preum

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings.

Parker Seegmiller, Sarah Preum

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Chain-of-Thought Embeddings for Stance Detection on Social Media.

Joseph Gatto, Omar Sharif, Sarah Preum

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

emsReACT: A Real-Time Interactive Cognitive Assistant for Cardiac Arrest Training in Emergency Medical Services.

M. Arif Rahman, Leon Jia, Eimara Mirza, Sarah Masud Preum, Homa Alemzadeh, Ronald D. Williams, John A. Stankovic

Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

EMS-BERT: A Pre-Trained Language Representation Model for the Emergency Medical Services (EMS) Domain.

M. Arif Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support.

Arya Kadakia, Sarah Masud Preum, Andrew R. Bohm, Karen L. Fortuna

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

HealthE: Classifying Entities in Online Textual Health Advice.

Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum

CoRR, 2022

An Intelligent Assistant for Converting City Requirements to Formal Specification.

Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities.

Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

2021

A Review of Cognitive Assistants for Healthcare: Trends, Prospects, and Future Directions.

Sarah Masud Preum, Sirajum Munir, Meiyi Ma, Mohammad Samin Yasar, David J. Stone, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic

ACM Comput. Surv., 2021

Challenges and Directions for Ambient Intelligence: A Cyber Physical Systems Perspective.

John A. Stankovic, Meiyi Ma, Sarah Masud Preum, Homa Alemzadeh

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Technical Feasibility, Financial Viability, and Clinician Acceptance: On the Many Challenges to AI in Clinical Practice.

Nur Yildirim, John Zimmerman, Sarah Preum

Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, 2021

2020

Data Sets, Modeling, and Decision Making in Smart Cities: A Survey.

Meiyi Ma, Sarah Masud Preum, Mohsin Y. Ahmed, William Tärneberg, Abdeltawab M. Hendawi, John A. Stankovic

ACM Trans. Cyber Phys. Syst., 2020

MFED: A System for Monitoring Family Eating Dynamics.

Md. Abu Sayeed Mondol, Brooke Bell, Meiyi Ma, Ridwan Alam, Ifat Afrin Emi, Sarah Masud Preum, Kayla de la Haye, Donna Spruijt-Metz, John C. Lach, John A. Stankovic

CoRR, 2020

IMACS - an interactive cognitive assistant module for cardiac arrest cases in emergency medical service: demo abstract.

M. Arif Rahman, Sarah Masud Preum, John A. Stankovic, Leon Jia, Eimara Mirza, Ronald D. Williams, Homa Alemzadeh

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response.

M. Arif Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response.

Sarah Masud Preum, Sile Shu, Homa Alemzadeh, John A. Stankovic

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CognitiveEMS: a cognitive assistant system for emergency medical services.

Sarah Masud Preum, Sile Shu, Mustafa Hotaki, Ronald D. Williams, John A. Stankovic, Homa Alemzadeh

SIGBED Rev., 2019

Information Seeking and Information Processing Behaviors Among Type 2 Diabetics.

Sarah Masud Preum, Kate Clark, Ashley Davis, Konstantine Khutsishvilli, Rupa S. Valdez

CoRR, 2019

A Behavior Tree Cognitive Assistant System for Emergency Medical Services.

Sile Shu, Sarah Masud Preum, Haydon M. Pitchford, Ronald D. Williams, John A. Stankovic, Homa Alemzadeh

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

A Corpus of Drug Usage Guidelines Annotated with Type of Advice.

Sarah Masud Preum, Md. Rizwan Parvez, Kai-Wei Chang, John A. Stankovic

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Towards a cognitive assistant system for emergency response.

Sarah Masud Preum, Sile Shu, Jonathan Ting, Vincent Lin, Ronald D. Williams, John A. Stankovic, Homa Alemzadeh

Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

2017

Preclude2 : Personalized conflict detection in heterogeneous health applications.

Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic

Pervasive Mob. Comput., 2017

Preclude: Conflict detection in textual health advice.

Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

Conflict detection in online textual health advice: demo abstract.

Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

User authentication using wrist mounted inertial sensors: poster abstract.

Md. Abu Sayeed Mondol, Ifat Afrin Emi, Sarah Masud Preum, John A. Stankovic

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Simulating Conflict Detection in Heterogeneous Services of a Smart City: Demo Abstract.

Meiyi Ma, Sarah Masud Preum, John A. Stankovic

Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

CityGuard: A Watchdog for Safety-Aware Conflict Detection in Smart Cities.

Meiyi Ma, Sarah Masud Preum, John A. Stankovic

Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

2016

Detection of Runtime Conflicts among Services in Smart Cities.

Meiyi Ma, Sarah Masud Preum, William Tärneberg, Mohsin Y. Ahmed, Matthew Ruiters, John A. Stankovic

Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

2015

Holmes: A Comprehensive Anomaly Detection System for Daily In-home Activities.

Enamul Hoque, Robert F. Dickerson, Sarah Masud Preum, Mark A. Hanson, Adam T. Barth, John A. Stankovic

Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, 2015

MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction.

Sarah Masud Preum, John A. Stankovic, Yanjun Qi

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015