UMBC Information Systems Department
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Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment
(2021-06-01)The detrimental impacts of climate change include stronger and more destructive hurricanes happening all over the world. Identifying different damaged structures of an area including buildings and roads are vital since it ... -
Learning User Embeddings from Temporal Social Media Data: A Survey
(2021-05-17)User-generated data on social media contain rich information about who we are, what we like and how we make decisions. In this paper, we survey representative work on learning a concise latent user representation (a.k.a. ... -
“Turning the Invisible Visible”: Transdisciplinary Bioart Explorations in Human-DNA Interaction
(Association for Computing Machinery, 2021-05)Hybrid interactive systems that combine living and digital components can engage, educate, and inform users, and are of growing interest in the HCI community. Advances in synthetic biology are transforming what is possible ... -
Perspectives of Bioartists and Community Lab Organizers on Working with Living Organisms
(Association for Computing Machinery, 2021-05)There is increasing interest within the HCI community about working with living organisms in the design of interactive systems. Bioartists and community lab participants have worked with living organisms for decades. Their ... -
Building for ‘We’: Safety Settings for Couples with Memory Concerns
(Association for Computing Machinery, 2021-05)Designing technologies that support the mutual cybersecurity and autonomy of older adults facing cognitive challenges requires close collaboration of partners. As part of research to design a Safety Setting application for ... -
Lessons from an Online Multidisciplinary Undergraduate Summer Research Program
(2021)During 2018, 2019, and 2020, the UMBC CyberTraining initiative “Big Data + HPC + Atmospheric Sciences” created an online team-based training program for advanced graduate students and junior researchers that trained a ... -
Building Textual Fuzzy Interpretive Structural Modeling to Analyze Factors of Student Mobility
(IEEE, 2021-04-28)There is a large amount of textual data present on web content that has the potential to answers many open questions in the field of humanities and human behavior. We have developed a novel methodology, called Textual Fuzzy ... -
A Data-driven Human Responsibility Management System
(IEEE, 2021-03-19)An ideal safe workplace is described as a place where staffs fulfill responsibilities in a well-organized order, potential hazardous events are being monitored in real-time, as well as the number of accidents and relevant ... -
Using Machine Learning to Automate Mammogram Images Analysis
(IEEE, 2021-01-13)Breast cancer is the second leading cause of cancer-related death after lung cancer in women. Early detection of breast cancer in X-ray mammography is believed to have effectively reduced the mortality rate since 1989. ... -
How Experience Impacts Practitioners’ Perception of Causes and Effects of Technical Debt
Context: The technical debt (TD) metaphor helps to conceptualize the pending issues and trade-offs made during software development. Knowing TD causes can support in defining preventive actions and having information about ... -
Timing of Support in One-on-one Math Problem Solving Coaching: A Survival Analysis Approach with Multimodal Data
(ACM, 2021-04)In this paper, we explore a kind of teaching-oriented temporal analytics on the timing of support in the context of one-on-one math problem-solving coaching. We build the analytical framework upon the human-human multimodal ... -
Towards the Automatic Assessment of Student Teamwork
(ACM, 2020-01)Teamwork skills are crucial for college students, both at university and afterwards. At many universities, teams are increasingly using discussion platforms such as GroupMe and Slack to work virtually. However, little has ... -
Mental Model Mapping Method for Cybersecurity
(Springer Nature, 2020-07-10)Visualizations can enhance the efficiency of Cyber Defense Analysts, Cyber Defense Incident Responders and Network Operations Specialists (Subject Matter Experts, SME) by providing contextual information for various ... -
Machine Learning and Student Performance in Teams
(Springer Nature, 2020-06-30)This project applies a variety of machine learning algorithms to the interactions of first year college students using the GroupMe messaging platform to collaborate online on a team project. The project assesses the efficacy ... -
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
We present a novel conditional Generative Adversarial Network (cGAN) architecture that is capable of generating 3D Computed Tomography scans in voxels from noisy and/or pixelated approximations and with the potential to ... -
Awareness, Adoption, and Misconceptions of Web Privacy Tools
Privacy and security tools can help users protect themselves online. Unfortunately, people are often unaware of such tools, and have potentially harmful misconceptions about the protections provided by the tools they know ... -
LSTM Based Sentiment Analysis for Cryptocurrency Prediction
Recent studies in big data analytics and natural language processing develop automatic techniques in analyzing sentiment in the social media information. In addition, the growing user base of social media and the high ... -
Share to Seek: The Effects of Disease Complexity on Health Information–Seeking Behavior
(JMIR, 2021-03-24)Background: Web-based question and answer (Q&A) sites have emerged as an alternative source for serving individuals’ health information needs. Although a number of studies have analyzed user-generated content in web-based ... -
Image segmentation for dust detection using unsupervised machine learning CyberTraining 2020: Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)Dust and sandstorms originating from Earth’s major arid and semi-arid desert areas can significantly affect the climate system and health. Many existing methods use heuristic rules to classify on a pixel-level regarding ...
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