Submissions from 2023
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing, Ankita Agarwal, Tanvi Banerjee, Joy Gockel, Saniya LeBlanc, Joe Walker, and John Middendorf
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure, Ankita Agarwal, Tanvi Banerjee, William Romine, Krishnaprasad Thirunarayan, Lingwei Chen, and Mia Cajita
A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students, Josephine Graft, William Romine, Brooklynn Watts, Noah Schroeder, Tawsik Jawad, and Tanvi Banerjee
Code Execution Capability as a Metric for Machine Learning–Assisted Software Vulnerability Detection Models, Daniel Grahn, Lingwei Chen, and Junjie Zhang
Computer-Supported Expert-Guided Experiential Learning Tool for Advanced Healthcare Skills, Dixit Patel, Thomas Wischgoll, Yong Pei, Angie Castle, Anne Proulx, Danielle Gainer, Timothy Crawford, Autumn James, Ashutosh Shivakumar, Colleen Elizabeth Pennington, Hanna Peterson, Carolina Beatriz Nadal Medina, Sindhu Kumari, Mark Alow, Sri Lekha Koppaka, Cassandra Mae Patel, Joshua Patel, Neha Priyadarshani, and Paul Hershberger
Center for Cyber-Physical Systems: Immersive Visualization and Simulation Environment, Thomas Wischgoll
Overcoming Uncertainties in Molecular Visualization, Thomas Wischgoll
Metaverse: Technologies for Virtual Worlds, Thomas Wischgoll, Andre Stork, Herbert Schilling, and Gerik Scheuermann
Detecting Suspicious Transactions in a Virtual-Currency-Enabled Online Social Network, Yadong Zhou, Bowen Hu, Junjie Zhang, Liyuan Sun, Xingyu Zhu, and Ting Liu
Submissions from 2022
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure, Ankita Agarwal, Krishnaprasad Thirunarayan, William Romine, Amanuel Alambo, Mia Cajita, and Tanvi Banerjee
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization, Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, and Mia Cajita
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature, Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, and Michael Raymer
Delaunay Walk for Fast Nearest Neighbor: Accelerating Correspondence Matching for ICP, James D. Anderson, Ryan M. Raettig, Josh Larson, Scott L. Nykl, Clark N. Taylor, and Thomas Wischgoll
A First Look at References From the Dark to the Surface Web World: A Case Study in Tor, Derek Doran and Mahdieh Zabihimayvan
An Interactive Game with Virtual Reality Immersion to Improve Cultural Sensitivity in Healthcare, Paul J. Hershberger, Yong Pei, Timothy N. Crawford, Sabrina M. Neeley, Thomas Wischgoll, Dixit B. Patel, Miteshkumar M. Vasoya, Angie Castle, Sankalp Mishra, Lahari Surapaneni, Aman A. Pogaku, Aishwarya Bositty, and Todd Pavlack
On the Suitability of Current Augmented Reality Head-Mounted Devices, Sadan Suneesh Menon and Thomas Wischgoll
Augmented Reality in Nursing Education - A Pilot Study, Suneesh Sadan Menon, Cindra Holland, Sharon Farra, Thomas Wischgoll, and Marlene Stuber
Machine Learning for Aiding Blood Flow Velocity Estimation Based on Angiography, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, and Zifeng Yang
Machine Learning for Angiography-Based Blood Flow Velocity Prediction, Swati Padhee, Mark Johnson, Hang Yi, Tanvi Banerjee, and Zifeng Yang
Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study, Swati Padhee, Gary K. Nave Jr, Tanvi Banerjee, Daniel M. Abrams, and Nirmish Shah
Explainable Deep Learning: A Field Guide for the Uninitiated, Gabrielle Ras, Ning Xie, Marcel van Gerven, and Derek Doran
Toward Mental Effort Measurement Using Electrodermal Activity Features, William Romine, Noah Schroeder, Tanvi Banerjee, and Josephine Graft
Submissions from 2021
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination, Ankita Agarwal, William Romine, and Tanvi Banerjee
Leveraging Natural Language Processing To Mine Issues on Twitter During the COVID-19 Pandemic, Ankita Agarwal, Preetham Salehundam, Swati Padhee, William Romine, and Tanvi Wright State University - Main Campus
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles, Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, and Michael Raymer
Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment, Monireh Ebrahimi, Md Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Aaron Eberhart, Derek Doran, HyeongSik Kim, and Pascal Hitzler
Uncertainty-aware Visualization in Medical Imaging - A Survey, Christina Gillmann, Dorothee Saur, Thomas Wischgoll, and Gerik Scheuermann
Ten Open Challenges in Medical Visualization, Chritina Gillmann, Noeska N. Smit, Eduard Groller, Bernhard Preim, Anna Vilanova, and Thomas Wischgoll
An Analysis of C/C++ Datasets for Machine Learning-Assisted Software Vulnerability Detection, Daniel Grahn and Junjie Zhang
UFuzzer: Lightweight Detection of PHP-Based Unrestricted File Upload Vulnerabilities Via Static-Fuzzing Co-Analysis, Jin Huang, Junjie Zhang, Jialun Liu, and Chuang Li
A Usability Analysis on the Development of Caregiver Assessment Using Serious Gaming Technology (CAST) Version 2.0: A Research Update, Jennifer C. Hughes, JoAnna Evans, Garrett Goodman, Alexandrea Oliver, Tanvi Banerjee, John G. Hughes, and Larry Lawhorne
A Framework for Uncertainty-Aware Visual Analytics of Proteins, Robin G. C. Maack, Michael L. Raymer, Thomas Wischgoll, Hans Hagen, and Christina Gillmann
Context-aware Website Fingerprinting over Encrypted Proxies, Xiaobo Ma, Mawei Shi, Bingyu An, Jianfeng Li, Daniel Xiapu Luo, Junjie Zhang, and Xiaohong Guan
Using Augmented Reality to Enhance Nursing Education, Sadan Suneesh Menon, Thomas Wischgoll, Sharon Farra, and Cindra Holland
Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples, Gary K. Nave Jr, Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Nirmish Shah, and Daniel M. Abrams
Classification of Pain Dynamics in Sickle Cell Disease from Mobile App Reporting, Gary Nave, Swati Padhee, Amanuel Alambo, Kumar Utkarsh, Tanvi Banerjee, Nirmish Shah, and Daniel M. Abrams
Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits, Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave, and Nirmish Shah
Can Subjective Pain Be Inferred From Objective Physiological Data? Evidence From Patients With Sickle Cell Disease, Mark J. Panaggio, Daniel M. Abrams, Fan Yang, Tanvi Banerjee, and Nirmish R. Shah
Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data From a Wearable Sensor, William Romine, Noah Schroeder, Anjali Edwards, and Tanvi Banerjee
Bridging the Gap between Atomic and Complex Activities in First Person Video, Bradley Schneider and Tanvi Banerjee
Augmented Reality Headset Facilitates Exposure for Surgical Stabilization of Rib Fractures, T. Sensing, Pratik Parikh, Claire Hardman, Thomas Wischgoll, and Sadan Suneesh Menon
Nomophobia before and after the COVID-19 Pandemic-Can Social Media be Used to Understand Mobile Phone Dependency, Vaishnavi Visweswaraiah, Tanvi Banerjee, William Romine, and Sarah Fryman
Interaction of Structure and Information on Tor, Mahdieh Zabihimayvan, Reza Sadeghi, Dipesh Kadariya, and Derek Doran
Submissions from 2020
Measuring Pain in Sickle Cell Disease Using Clinical Text, Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel M. Abrams, and Nirmish Shah
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study, Amanuel Alambo, Swati Padhee, Tanvi Banerjee, and Krishnaprasad Thirunarayan
Visualization of Search Results of Large Document Sets, James D. Anderson and Thomas Wischgoll
Case Studies for Working with Domain Experts, Johanna Beyer, Charles Hansen, Mario Hlawitschka, Ingrid Hotz, Barbora Kozlikova, Gerik Scheuermann, Markus Stommel, Marc Streit, Johannes Waschke, Thomas Wischgoll, and Yong Wan
Multi-Echo Quantitative Susceptibility Mapping for Strategically Acquired Gradient Echo (STAGE) Imaging, Sara Gharabaghi, Saifeng Liu, Ying Wang, Yongsheng Chen, Sagar Buch, Mojtaba Jokar, Thomas Wischgoll, Nasser H. Kashou, Chunyan Zhang, Bo Wu, Jingliang Cheng, and E. Mark Haacke
Uncertainty-aware Brain Lesion Visualization, Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Karl T. Hoffman, Hans Hagen, Ross Maciejewski, and Gerik Scheuermann
Development of a Daily Use Caregiver Sleep Survey (DUCSS): A Mixed-Method Design, Jennifer C. Hughes, William Romine, Tanvi Banerjee, Garrett Goodman, Abby Edwards, John G. Hughes, and Larry Lawhorne
EDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection, Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois Lamy, Krishnaprasad Thirunarayan, Usha Lokala, and Amit Sheth
Internet Technology Outlook: From Communication to Storage and Cognitive Computing, L. Liu, Tarek Abdeizaher, Elisa Bertino, Paolo Boldi, Keke Chen, Songqing Chen, Bugra Gedik, Manfred Hauswirth, Gang Huang, Latifur Khan, Tamer Ozsu, Calton Pu, and Kui Ren
Empirical Evaluations with Domain Experts, Krešimir Matković, Thomas Wischgoll, and David H. Laidlaw
Medical Education and Assisted Surgery by AR, Sadan Suneesh Menon, Thomas Wischgoll, Sharon Farra, and Cindra Holland
Predicting Early Indicators of Cognitive Decline From Verbal Utterances, Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, and William Romine
Analyzing and Learning the Language for Different Types of Harassment, Mohammadreza Rezvan, Saeedeh Shekarpour, Faisal Alshargi, Krishnaprasad Thirunarayan, Valerie L. Shalin, and Amit Sheth
Using Machine Learning To Train a Wearable Device for Measuring Students’ Cognitive Load During Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use, William Romine, Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan, Dipesh Kadariya, and Tanvi Banerjee
Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability, Reza Sadeghi, Tanvi Banerjee, and John Hughes
Predicting alcohol withdrawal in intensive care units, Reza Sadeghi, Tanvi Banerjee, and William L. Romine
Sleep Propensity and Sleep Apnea-Specific Hypoxia Are Associated With Excessive Daytime Sleepiness, Reza Sadeghi, MK Younes, S. A. Sands, L. T. Taranto-Montemurro, S. Bertisch, D. A. Wellman, S. S. Redline, Tanvi Banerjee, and A. Azarbarzin
Comparison of gait speeds from wearable camera and accelerometer in structured and semi-structured environments, Bradley Schneider, Tanvi Banerjee, Francis Grover, and Michael Riley
Multimodal Mental Health Analysis in Social Media, Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, William Romine, Amit Sheth, Amir Hassan Monadjemi, Krishnaprasad Thirunarayan, John M. Meddar, Annie Myers, Jyotishman Pathak, and Pascal Hitzler
Submissions from 2019
Question Answering for Suicide Risk Assessment Using Reddit, Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit Sheth, Randon S. Welton, and Jyotishman Pathak
Towards Geocoding Spatial Expressions (Vision Paper), Hussein S. Al-Olimat, Valerie L. Shalin, Krishnaprasad Thirunarayan, and Joy Prakash Sain
Augmenting Flight Imagery from Aerial Refueling, James D. Anderson, Scott Nykl, and Thomas Wischgoll
Knowledge Graph Enhanced Community Detection and Characterization, Shreyansh Bhatt, Keke Chen, Swati Padhee, Valerie Shalin, Brandon Minnery, Amit Sheth, and Derek Doran
Who Should Be the Captain This Week? Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction, Shreyansh Bhatt, Keke Chen, Valerie L. Shalin, Amit P. Sheth, and Brandon Minnery
Preface, Keke Chen, Sangeetha Seshadri, and Liang Jie Zhang
The Rising TIDE of Wright State University: Context, Connections, and Consequences, Travis E. Doom, John C. Gallagher, Michael L. Raymer, and Kathleen M. Timmerman
User Interactions and Behaviors in a Large-Scale Online Emotional Support Service, Derek Doran, Luisa Massari, Maria Carla Calzarossa, Yu Li, Daniele Tessera, and Junjie Zhang
Finding and Validating Medical Information Shared on Twitter: Experiences Using a Crowdsourcing Approach, Scott J. Duberstein, Daniel Asamoah, Derek Doran, and Shu Schiller
Structurally Constrained Quantitative Susceptibility Mapping, Sara Gharabaghi, Saifeng Liu, Ying Wang, Yongsheng Chen, Thomas Wischgoll, Nasser H. Kashou, and E. Mark Haacke
Hierarchical Image Semantics Using Probabilistic Path Propagations for Biomedical Research, Christina Gillmann, Tobias Post, Thomas Wischgoll, Hans Hagen, and Ross Maciejewski
Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study, Garrett Goodman, Tanvi Banerjee, William Romine, Cogan Shimizu, and Jennifer Hughes
An Interactive Game for Cultural ProficiencyTraining Featuring Virtual Reality Immersion, Paul J. Hershberger, Blaine A. Klingler, Matt Davis, Sankalp Mishra, Miteshkumar Vasoya, Dixit Patel, Aishwarya Bositty, Tanuja Addanki, Frank A. Allen, Suneesh Menon, Sabrina Neeley, Angie Castle, Todd Pavlak, Yong Pei, and Thomas Wischgoll
Dysregulation of Mechanosensory Circuits Coordinating the Actions of Antagonist Motor Pools Following Peripheral Nerve Injury and Muscle Reinnervation, Gabrielle M. Horstman, Stephen N. Housley, and Timothy C. Cope
UChecker: Automatically Detecting PHP-Based Unrestricted File Upload Vulnerabilities, Jin Huang, Yu Li, Junjie Zhang, and Rui Dai
Use of mobile health apps and wearable technology to assess changes and predict pain during treatment of acute pain in sickle cell disease: Feasibility study, Amanda Johnson, Fan Yang, Siddharth Gollarahalli, Tanvi Banerjee, Daniel M. Abrams, Jude Jonassaint, Charles Jonassaint, and Nirmish Shah
Dynamic Collaborative Visualization Ecosystem to Support the Analysis of Large-Scale Disparate Data, Christopher Koehler, Andrew Berger, Raksha Rajashekar, Thomas Wischgoll, and Simon Su
Modeling Islamist Extremist Communications on Social Media Using Contextual Dimensions: Religion, Ideology, and Hate, Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, and Amit Sheth
What's your Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit Sheth, and I. Budak Arpinar
Contextual Grounding of Natural Language Entities in Images, Farley Lai, Ning Xie, Derek Doran, and Asim Kadav
Shellbreaker: Automatically Detecting PHP-Based Malicious Web Shells, Yu Li, Jin Huang, Ademola Ikusan, Milliken Mitchell, Junjie Zhang, and Rui Dai
Analyzing Public Outlook towards Vaccination using Twitter, Rutuja Mahajan, William Romine, Michele Miller, and Tanvi Banerjee
A Pipeline for Disaster Response and Relief Coordination, Pranav Maneriker, Nikhita Vedula, Ethan Kubatko, Desheng Liu, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Jiayong Liang, Omar El-Khoury, and Srinivasan Parthasarathy
Visualization of Carbon Monoxide Particles Released from Firearms, Sadan Suneesh Menon and Thomas Wischgoll
Predicting Public Opinion on Drug Legalization: Social Media Analysis and Consumption Trends, Farahnaz Golrooy Motlagh, Saeedeh Shekarpour, Amit Sheth, Krishnaprasad Thirunarayan, and Michael L. Raymer
Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting, Giuseppe Nebbione, Derek Doran, Srikanth Nadella, and Brandon Minnery
Toward sensor-based sleep monitoring with electrodermal activity measures, William Romine, Tanvi Banerjee, and Garrett Goodman
Sleep quality prediction in caregivers using physiological signals, Reza Sadeghi, Tanvi Banerjee, Jennifer C. Hughes, and Larry W. Lawhorne
Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data, Sagar Sharma and Keke Chen
PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud, Sagar Sharma, James Powers, and Keke Chen
Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study, Revathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, Dipesh Kadariya, Hong Yung Yip, Maninder Kalra, and Amit Sheth
Visualization of Quantitative Data Derived from Volumetric Imaging, Thomas Wischgoll
XR-based Workforce Develop in the Southwestern Region of Ohio, Thomas Wischgoll
Visual Entailment: A Novel Task for Fine-Grained Image Understanding, Ning Xie, Farley Lai, Derek Doran, and Asim Kadav
Visual Entailment Task for Visually-Grounded Language Learning, Ning Xie, Farley Lai, Derek Doran, and Asim Kadav
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data, Fan Yang, Tanvi Banerjee, Mark J. Panaggio, Daniel M. Abrams, and Nirmish R. Shah
A First Look at References from the Dark to Surface Web World, Mahdieh Zabihimayvan and Derek Doran
Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection, Mahdieh Zabihimayvan and Derek Doran
