Now showing items 370-389 of 918

    • @I seek 'fb.me': Identifying Users across Multiple Online Social Networks 

      Jain, Paridhi; Kumaraguru, Ponnurangam; Joshi, Anupam (ACM, 2013-05-13)
      An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection ...
    • Identifying and characterizing user communities on Twitter during crisis events 

      Joshi, Anupam; Kumaraguru, Ponnurangam (ACM, 2012-10-29)
      Twitter is a prominent online social media which is used to share information and opinions. Previous research has shown that current real world news topics and events dominate the discussions on Twitter. In this paper, we ...
    • Identifying Negative Exemplars in Grounded Language Data Sets 

      Pillai, Nisha; Matuszek, Cynthia (2017)
      There has been substantial work in recent years on grounded language acquisition, in which paired language and sensor data are used to create a model of how linguistic constructs apply to the perceivable world. While ...
    • IDIOMS: Infectious Disease Imaging Outbreak Monitoring System 

      Gangopadhyay, Aryya; Morris, Michael; Saboury, Babak; Siegel, Eliot; Yesha, Yelena (ACM, 2020-11)
      In this commentary, we propose a framework for convergence accelerator research leveraging AI models with medical images for effective diagnosis, monitoring, and treatment of diseases with pandemic potential. The goal is ...
    • Impact of Nonlinearity in an MUTC Photodetector on an RF-Modulated Frequency Comb 

      Mahabadi, Seyed Ehsan Jamali; Carruthers, Thomas F.; Menyuk, Curtis R.; Hutchinson, Meredith N.; McKinney, Jason D.; Williams, Keith J. (IEEE, 2019-11-21)
      Abstract—We calculate the impact of nonlinearity in an MUTC photodetector on an RF-modulated frequency comb, taking into account bleaching (gain saturation). An RF-modulated frequency comb is characterized by a distinct ...
    • Impact of Nonlinearity on RF-Modulated Frequency Combs with Different Modulation Depths in an MUTC Photodetector 

      Mahabadi, Seyed Ehsan Jamali; Carruthers, Thomas F.; Menyuk, Curtis R.; Hutchinson, Meredith N.; McKinney, Jason D.; Williams, Keith J. (IEEE, 2019-11-07)
      We calculate the impact of nonlinearity in a modified uni-traveling carrier (MUTC) photodetector on an RF-modulated frequency comb that is generated using short optical pulses. We take into account bleaching (nonlinear ...
    • Impact on frequency combs of nonlinearity including bleaching in p-i-n photodetectors 

      Mahabadi, Seyed Ehsan Jamali; Carruthers, Thomas F.; Menyuk, Curtis R.; McKinney, Jason D.; Williams, Keith J. (IEEE, 2020-08-06)
      We calculate the impact of nonlinearity in a p-i-n photodetector on an RF-modulated frequency comb taking into account bleaching due to the large peak-to-average power ratio in frequency combs. We characterized RF-modulated ...
    • Impedance matched thin metamaterials make metals absorbing 

      Mattiucci, N.; Bloemer, M. J.; Aközbek, N.; D'Aguanno, G. (Nature Research, 2013-11-13)
      Metals are generally considered good reflectors over the entire electromagnetic spectrum up to their plasma frequency. Here we demonstrate an approach to tailor their absorbing characteristics based on the effective ...
    • Implementing Multi-Agent Systems: Languages, Frameworks, and Standards 

      Decker, Keith; Finin, Tim; Manning, Chris; Singh, Munindar; Treur, Jan (AAAI, 1998-07-26)
      As multi-agent systems research nears the end of its second decade, researchers have moved beyond stand-alone, one-off systems and have begun to create the software infrastructure for quickly creating new, highly interoperable ...
    • Importance of lotus effect on surface sensing 

      Sova, Stacey; Prasad, Narasimha; Cooper, Christopher; Kelly, Lisa; Arnold, Bradley; Cullum, Brian; Choa, Fow-Sen; Singh, N. B. (SPIE, 2019-05-02)
      Superhydrophobic polymer films are a material of interest for aircraft deicing fluids to achieve the selfcleaning lotus effect. Hydrophobic polymer films were obtained by a solvent selective method composed of hydrophilic ...
    • Improving Binary Classification on Text Problems using Differential Word Features 

      Martineau, Justin; Finin, Tim; Joshi, Anupam; Patel, Shamit (ACM, 2009-11-02)
      We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of problems. The most common text classification ...
    • Improving Grounded Language Acquisition Efficiency Using Interactive Labeling 

      Pillai, Nisha; Budhraja, Karan K.; Matuszek, Cynthia (Robotics: Science and Systems (R:SS), 2016)
      Natural language has emerged as a powerful, intuitive interface for robot-human communication. There has been substantial work in recent years on grounded language acquisition, in which paired language and sensor data are ...
    • Improving Neural Named Entity Recognition with Gazetteers 

      Song, Chan Hee; Lawrie, Dawn; Finin, Tim; Mayfield, James (2020-03-06)
      The goal of this work is to improve the performance of a neural named entity recognition system by adding input features that indicate a word is part of a name included in a gazetteer. This article describes how to generate ...
    • Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention 

      Prakash, Bharat; Khatwani, Mohit; Waytowich, Nicholas; Mohsenin, Tinoosh (2019-03-22)
      Recent progress in AI and Reinforcement learning has shown great success in solving complex problems with high dimensional state spaces. However, most of these successes have been primarily in simulated environments ...
    • Improving Word Similarity by Augmenting PMI with Estimates of Word Polysemy 

      Han, Lushan; Finin, Tim; McNamee, Paul; Joshi, Anupam; Yesha, Yelena (IEEE, 2013-06-01)
      Pointwise mutual information (PMI) is a widely used word similarity measure, but it lacks a clear explanation of how it works. We explore how PMI differs from distributional similarity, and we introduce a novel metric, ...
    • In Reputation We Believe: Query Processing in Mobile Ad-Hoc Networks 

      Perich, Filip; Kagal, Lalana; Joshi, Anupam; Finin, Tim; Yesha, Yelena (IEEE, 2004-08-22)
      Current research on data management in mobile ad-hoc networks focuses on discovering sources and acquiring information. In this mode of operation, mobile devices assume answers to be correct and do not verify the veracity ...
    • In silico dermoscopy with detailed subsurface scattering 

      Seipp, B.; Olano, M.; Badano, A. (The Eurographics Association, 2019)
      We describe an approach to modeling dermoscopy, the imaging modality for the examination of skin lesions, using accurate subsurface scattering in human skin. We make use of an open-source, path-tracing program with advanced ...
    • Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19 

      Boukouvalas, Zois; Mallinson, Christine; Crothers, Evan; Japkowicz, Nathalie; Piplai, Aritran; Mittal, Sudip; Joshi, Anupam; Adalı, Tülay (2020-06-30)
      Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of ...
    • Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia 

      Long, Qunfang; Bhinge, Suchita; Calhoun, Vince D.; Adali, Tulay (Elsevier, 2020-04-28)
      The extraction of common and distinct biomedical signatures among different populations allows for a more detailed study of the group-specific as well as distinct information of different populations. A number of subspace ...
    • Inexact Proximal Conjugate Subgradient Algorithm for fMRI Data Completion 

      Belyaeva, Irina; Long, Qunfang; Adali, Tulay (European Association for Signal Processing (EURASIP), 2020)
      Tensor representations have proven useful for many problems, including data completion. A promising application for tensor completion is functional magnetic resonance imaging (fMRI) data that has an inherent four-dimensional ...