Now showing items 106-125 of 304

    • Enhancing spatial query results using semantics and multiplex networks 

      Pillai, Manesh; Karabatis, George (HETERONAM, 2018)
      Geographic information retrieval (GIR) research mainly focuses on finding relevant geographic artifacts along one layer, although answers to queries should preferably include artifacts across multiple layers.This paper ...
    • Equitable Allocation of Healthcare Resources with Fair Cox Models 

      Keya, Kamrun Naher; Islam, Rashidul; Pan, Shimei; Stockwell, Ian; Foulds, James (2020-10-14)
      Healthcare programs such as Medicaid provide crucial services to vulnerable populations, but due to limited resources, many of the individuals who need these services the most languish on waiting lists. Survival models, ...
    • Estimating Buildings’ Parameters over Time Including Prior Knowledge 

      Pathak, Nilavra; Foulds, James; Roy, Nirmalya; Banerjee, Nilanjan; Robucci, Ryan (2019-02-04)
      Modeling buildings’ heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents’ behavior. Graybox models offer an explanation ...
    • Estimation Metrics for Courseware Maintenance Effort 

      Thackaberry, Christine W.; Rada, Roy
      Software engineering methods and metrics to estimate development time for the development and maintenance of computer-based training (CBT) differ from methods and metrics used to develop large information systems. The ...
    • Evaluating Disaster Time-Line from Social Media with Wavelet Analysis 

      Anam, Amrita; Gangopadhyay, Aryya; Roy, Nirmalya
      —For over a decade, social media has proved to be a functional and convenient data source in the Internet of things. Social platforms such as Facebook, Twitter, Instagram, and Reddit have their own styles and purposes. ...
    • Evaluation of Data-Driven Causality Discovery Approaches among Dominant Climate Modes 

      Hussung, Steve; Mahmud, Suhail; Sampath, Akila; Wu, Mengxi; Guo, Pei; Wang, Jianwu (HPCF UMBC, 2019)
      Identification of causal networks in atmospheric teleconnection patterns has applications in many climate studies. We evaluate and compare three data-driven causal discovery methods in locating and linking causation of ...
    • An Examination of Vote Verification Technologies: Findings and Experiences from the Maryland Study 

      Sherman, Alan T.; Gangopadhyay, Aryya; Holden, Stephen H.; Karabatis, George; Koru, A. Gunes; Law, Chris M.; Norris, Donald F.; Pinkston, John; Sears, Andrew; Zhang, Dongsong (2006-04-15)
      We describe our findings and experiences from our technical review of vote verification systems for the Maryland State Board of Elections (SBE). The review included the following four systems for possible use together ...
    • Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs 

      Ordun, Catherine; Purushotham, Sanjay; Raff, Edward (2020-05-06)
      This paper illustrates five different techniques to assess the distinctiveness of topics, key terms and features, speed of information dissemination, and network behaviors for Covid19 tweets. First, we use pattern matching ...
    • Extending Signature-based Intrusion Detection Systems With Bayesian Abductive Reasoning 

      Ganesan, Ashwinkumar; Parameshwarappa, Pooja; Peshave, Akshay; Chen, Zhiyuan; Oates, Tim (2019-03-28)
      Evolving cybersecurity threats are a persistent challenge for system administrators and security experts as new malwares are continually released. Attackers may look for vulnerabilities in commercial products or execute ...
    • Eye-Tracking-based Wizard-of-Oz Usability Evaluation of an Emotional Display Agent Integrated to a Virtual Environment  

      Hercegfi, Károly; Komlódi, Anita; Köles, Máté; Tóvölgyi, Sarolta (2019)
      This paper presents the results of the usability testing of an experimental component of the Virtual Collaboration Arena (VirCA) developed by the Cognitive Informatics Group of the Computer and Automation Research Institute ...
    • Facebook use in Bhutan: A Comparative Study 

      Hamidi, Foad; Baljko, Melanie (2013-12)
      Technology is adopted and used in novel ways in different contexts. We present results from a survey concerning the use of the Facebook social network in the Kingdom of Bhutan and compare the ...
    • Filtering the piotroski portfolio: the roles of economic sector, small cap, and technical momentum 

      Rada, Roy
      Background and Objective: In one of the most cited, value-investing results, a portfolio of approximately 100 stocks is selected based on value and fundamental factors. If an investor wants to select 10 of those recommended ...
    • Firearm Detection Using Wrist Worn Tri-Axis Accelerometer Signals 

      Khan, Md Abdullah Al Hafiz; Welsh, David; Roy, Nirmalya
      Gunshot detection traditionally has been a task performed with acoustic signal processing. While this type of detection can give cities, civil services and training institutes a method to identify specific locations of ...
    • A Flash Flood Categorization System using Scene-Text Recognition 

      Basnyat, Bipendra; Roy, Nirmalya; Gangopadhyay, Aryya (IEEE, 2018)
      Detecting flash floods in real-time and taking rapid actions are of utmost importance to save human lives, loss of infrastructures, and personal properties in a smart city. In this paper, we develop a low-cost low-power ...
    • FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding 

      Rahnemoonfar, Maryam; Chowdhury, Tashnim; Sarkar, Argho; Varshney, Debvrat; Yari, Masoud; Murphy, Robin (2020-12-05)
      Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL provide good benchmarks for several tasks ...
    • Forecasting Exchange Rates: A Neuro-Fuzzy Approach 

      Alizadeh, Meysam; Rada, Roy; Balagh, Akram Khaleghei Ghoshe; Esfahani, Mir Mehdi Seyyed
      This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN). ANFIS can be used to better explain ...
    • Forecasting Gas Usage for Big Buildings using Generalized Additive Models and Deep Learning 

      Pathak, Nilavra; Ba, Amadou; Ploennings, Joern; Roy, Nirmalya (IEEE, 2018)
      Time series behavior of gas consumption is highly irregular, non-stationary, and volatile due to its dependency on the weather, users’ habits and lifestyle. This complicates the modeling and forecasting of gas consumption ...
    • Framework for Cloud Usability 

      Stanton, Brian; Theofanos, Mary; Joshi, Karuna Pande (Springer, 2015-08-02)
      Organizations are increasingly adopting cloud-based services to meet their business needs. However, due to the complexity and diversity of cloud systems it is important to evaluate the user experience using within a framework ...
    • Framework for Cloud Usability 

      Stanton, Brian; Theofanos, Mary; Joshi, Karuna P.
      Organizations are increasingly adopting cloud-based services to meet their business needs. However, due to the complexity and diversity of cloud systems it is important to evaluate the user experience within a framework ...