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ORCIDSarah Masud Preum
Sarah M. Preum – Sarah Preum
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2020 – today
- 2024
[j7]Subigya Nepal
, Arvind Pillai, William Campbell, Talie Massachi, Michael V. Heinz, Ashmita Kunwar, Eunsol Soul Choi, Xuhai Xu, Joanna Kuc, Jeremy F. Huckins, Jason Holden, Sarah M. Preum, Colin Depp, Nicholas C. Jacobson, Mary P. Czerwinski, Eric L. Granholm, Andrew T. Campbell:
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(4): 186:1-186:44 (2024)- [c32]Omar Sharif, Madhusudan Basak, Tanzia Parvin, Ava Scharfstein, Alphonso Bradham, Jacob T. Borodovsky, Sarah E. Lord, Sarah Masud Preum:
Characterizing Information Seeking Events in Health-Related Social Discourse. AAAI 2024: 22350-22358 - [c31]Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum:
Deciphering Hate: Identifying Hateful Memes and Their Targets. ACL (1) 2024: 8347-8359 - [c30]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:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CHI 2024: 451:1-451:18 - [c29]Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum:
Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection. EACL (Student Research Workshop) 2024: 162-174 - [c28]Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah Masud Preum:
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments. EMNLP 2024: 12061-12081 - [c27]William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum:
Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse. ICWSM 2024: 1315-1327 - [i26]Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum:
Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection. CoRR abs/2402.09738 (2024) - [i25]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:
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. CoRR abs/2402.13437 (2024) - [i24]Joseph Gatto, Parker Seegmiller, Omar Sharif, Sarah Masud Preum:
Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data. CoRR abs/2403.03304 (2024) - [i23]Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah Masud Preum:
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse. CoRR abs/2403.03336 (2024) - [i22]Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum:
Deciphering Hate: Identifying Hateful Memes and Their Targets. CoRR abs/2403.10829 (2024) - [i21]Parker Seegmiller, Joseph Gatto, Omar Sharif, Madhusudan Basak, Sarah Masud Preum:
Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit. CoRR abs/2404.01147 (2024) - [i20]Parker Seegmiller, Joseph Gatto, Sarah Masud Preum:
Depth F1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability. CoRR abs/2406.14695 (2024) - [i19]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:
MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. CoRR abs/2409.09570 (2024) - [i18]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:
A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product. CoRR abs/2410.01633 (2024) - [i17]Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah M. Preum:
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments. CoRR abs/2410.03594 (2024) - [i16]Joseph Gatto, Parker Seegmiller, Timothy E. Burdick, Sarah Masud Preum:
In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages. CoRR abs/2411.06549 (2024) - 2023
- [j6]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:
Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 174:1-174:38 (2023) - [j5]Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Preum, John A. Stankovic, Meiyi Ma:
CitySpec with shield: A secure intelligent assistant for requirement formalization. Pervasive Mob. Comput. 92: 101802 (2023) - [c26]Arya Kadakia, Sarah Masud Preum, Andrew R. Bohm, Karen L. Fortuna:
Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support. HEALTHINF 2023: 581-592 - [c25]M. Arif Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic:
EMS-BERT: A Pre-Trained Language Representation Model for the Emergency Medical Services (EMS) Domain. CHASE 2023: 34-43 - [c24]M. Arif Rahman, Leon Jia, Eimara Mirza, Sarah Masud Preum, Homa Alemzadeh, Ronald D. Williams, John A. Stankovic:
emsReACT: A Real-Time Interactive Cognitive Assistant for Cardiac Arrest Training in Emergency Medical Services. DCOSS-IoT 2023: 120-128 - [c23]Joseph Gatto, Omar Sharif, Sarah Preum:
Chain-of-Thought Embeddings for Stance Detection on Social Media. EMNLP (Findings) 2023: 4154-4161 - [c22]Parker Seegmiller, Sarah Preum:
Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings. EMNLP 2023: 9600-9611 - [c21]Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Preum:
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. ICHI 2023: 601-609 - [c20]Joseph Gatto, Madhusudan Basak, Sarah Masud Preum:
Scope of Pre-trained Language Models for Detecting Conflicting Health Information. ICWSM 2023: 221-232 - [c19]Joseph Gatto, Parker Seegmiller, Garrett M. Johnston, Madhusudan Basak, Sarah Masud Preum:
HealthE: Recognizing Health Advice & Entities in Online Health Communities. ICWSM 2023: 1024-1033 - [i15]Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum:
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. CoRR abs/2301.07051 (2023) - [i14]William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum:
Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. CoRR abs/2301.11508 (2023) - [i13]Zirong Chen, Issa Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma:
CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization. CoRR abs/2302.09665 (2023) - [i12]Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Masud Preum:
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. CoRR abs/2303.09366 (2023) - [i11]Omar Sharif, Madhusudan Basak, Tanzia Parvin, Ava Scharfstein, Alphonso Bradham, Jacob T. Borodovsky, Sarah E. Lord, Sarah Masud Preum:
Characterizing Information Seeking Events in Health-Related Social Discourse. CoRR abs/2308.09156 (2023) - [i10]Joseph Gatto, Omar Sharif, Parker Seegmiller, Philip Bohlman, Sarah Masud Preum:
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity. CoRR abs/2309.06541 (2023) - [i9]Joseph Gatto, Sarah Masud Preum:
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts. CoRR abs/2309.09877 (2023) - [i8]Parker Seegmiller, Sarah Masud Preum:
Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings. CoRR abs/2310.15010 (2023) - [i7]Joseph Gatto, Omar Sharif, Sarah Masud Preum:
Chain-of-Thought Embeddings for Stance Detection on Social Media. CoRR abs/2310.19750 (2023) - 2022
- [c18]Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma:
CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities. SMARTCOMP 2022: 32-39 - [c17]Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma:
An Intelligent Assistant for Converting City Requirements to Formal Specification. SMARTCOMP 2022: 174-176 - [i6]Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma:
CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities. CoRR abs/2206.03132 (2022) - [i5]Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Masud Preum, John A. Stankovic, Meiyi Ma:
An Intelligent Assistant for Converting City Requirements to Formal Specification. CoRR abs/2206.07152 (2022) - [i4]Joseph Gatto, Madhusudan Basak, Sarah Masud Preum:
Scope of Pre-trained Language Models for Detecting Conflicting Health Information. CoRR abs/2209.11102 (2022) - [i3]Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum:
HealthE: Classifying Entities in Online Textual Health Advice. CoRR abs/2210.03246 (2022) - 2021
- [j4]Sarah Masud Preum, Sirajum Munir, Meiyi Ma, Mohammad Samin Yasar, David J. Stone, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic:
A Review of Cognitive Assistants for Healthcare: Trends, Prospects, and Future Directions. ACM Comput. Surv. 53(6): 130:1-130:37 (2021) - [c16]Nur Yildirim, John Zimmerman, Sarah Preum:
Technical Feasibility, Financial Viability, and Clinician Acceptance: On the Many Challenges to AI in Clinical Practice. HUMAN@AAAI Fall Symposium 2021 - [c15]John A. Stankovic, Meiyi Ma, Sarah Masud Preum, Homa Alemzadeh:
Challenges and Directions for Ambient Intelligence: A Cyber Physical Systems Perspective. CogMI 2021: 232-241 - 2020
- [j3]Meiyi Ma, Sarah Masud Preum, Mohsin Y. Ahmed, William Tärneberg, Abdeltawab M. Hendawi, John A. Stankovic:
Data Sets, Modeling, and Decision Making in Smart Cities: A Survey. ACM Trans. Cyber Phys. Syst. 4(2): 14:1-14:28 (2020) - [c14]Sarah Masud Preum, Sile Shu, Homa Alemzadeh, John A. Stankovic:
EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response. AAAI 2020: 13350-13355 - [c13]M. Arif Rahman, Sarah Masud Preum, Ronald D. Williams, Homa Alemzadeh, John A. Stankovic:
GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response. AAAI 2020: 13356-13362 - [c12]M. Arif Rahman, Sarah Masud Preum, John A. Stankovic, Leon Jia, Eimara Mirza, Ronald D. Williams, Homa Alemzadeh:
IMACS - an interactive cognitive assistant module for cardiac arrest cases in emergency medical service: demo abstract. SenSys 2020: 621-622 - [i2]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:
MFED: A System for Monitoring Family Eating Dynamics. CoRR abs/2007.05831 (2020)
2010 – 2019
- 2019
- [j2]Sarah Masud Preum, Sile Shu, Mustafa Hotaki, Ronald D. Williams, John A. Stankovic, Homa Alemzadeh:
CognitiveEMS: a cognitive assistant system for emergency medical services. SIGBED Rev. 16(2): 51-60 (2019) - [c11]Sile Shu, Sarah Masud Preum, Haydon M. Pitchford, Ronald D. Williams, John A. Stankovic, Homa Alemzadeh:
A Behavior Tree Cognitive Assistant System for Emergency Medical Services. IROS 2019: 6188-6195 - [i1]Sarah Masud Preum, Kate Clark, Ashley Davis, Konstantine Khutsishvilli, Rupa S. Valdez:
Information Seeking and Information Processing Behaviors Among Type 2 Diabetics. CoRR abs/1910.12444 (2019) - 2018
- [c10]Sarah Masud Preum, Sile Shu, Jonathan Ting, Vincent Lin, Ronald D. Williams, John A. Stankovic, Homa Alemzadeh:
Towards a cognitive assistant system for emergency response. ICCPS 2018: 347-348 - [c9]Sarah Masud Preum, Md. Rizwan Parvez, Kai-Wei Chang, John A. Stankovic:
A Corpus of Drug Usage Guidelines Annotated with Type of Advice. LREC 2018 - 2017
- [j1]Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic:
Preclude2 : Personalized conflict detection in heterogeneous health applications. Pervasive Mob. Comput. 42: 226-247 (2017) - [c8]Meiyi Ma, Sarah Masud Preum, John A. Stankovic:
CityGuard: A Watchdog for Safety-Aware Conflict Detection in Smart Cities. IoTDI 2017: 259-270 - [c7]Meiyi Ma, Sarah Masud Preum, John A. Stankovic:
Simulating Conflict Detection in Heterogeneous Services of a Smart City: Demo Abstract. IoTDI 2017: 275-276 - [c6]Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic:
Conflict detection in online textual health advice: demo abstract. IPSN 2017: 267-268 - [c5]Md. Abu Sayeed Mondol, Ifat Afrin Emi, Sarah Masud Preum, John A. Stankovic:
User authentication using wrist mounted inertial sensors: poster abstract. IPSN 2017: 309-310 - [c4]Sarah Masud Preum, Md. Abu Sayeed Mondol, Meiyi Ma, Hongning Wang, John A. Stankovic:
Preclude: Conflict detection in textual health advice. PerCom 2017: 286-296 - 2016
- [c3]Meiyi Ma, Sarah Masud Preum, William Tärneberg, Mohsin Y. Ahmed, Matthew Ruiters, John A. Stankovic:
Detection of Runtime Conflicts among Services in Smart Cities. SMARTCOMP 2016: 1-10 - 2015
- [c2]Sarah Masud Preum, John A. Stankovic, Yanjun Qi:
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction. CIKM 2015: 433-442 - [c1]Enamul Hoque, Robert F. Dickerson, Sarah Masud Preum, Mark A. Hanson, Adam T. Barth, John A. Stankovic:
Holmes: A Comprehensive Anomaly Detection System for Daily In-home Activities. DCOSS 2015: 40-51
Coauthor Index
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last updated on 2025-01-09 20:38 CET by the dblp team
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