Department of Computer and Information Science Works

 

Recent Submissions

  • Butterfield, Kevin; Li, Huian; Zou, Xukai; Li, Feng (IEEE, 2015-08)
    Voting over the internet has been the focus of significant research with the potential to solve many problems. Current implementations typically suffer from a lack of transparency, where the connection between vote casting ...
  • Huang, Hui; Nguyen, Thanh; Ibrahim, Sara; Shantharam, Sandeep; Yue, Zongliang; Chen, Jake Y. (BioMed Central, 2015-09-25)
    BACKGROUND: Drug repositioning is a cost-efficient and time-saving process to drug development compared to traditional techniques. A systematic method to drug repositioning is to identify candidate drug's gene expression ...
  • Bagheri, Saeid; Zheng, Jiang Yu; Sinha, Shivank (Elsevier, 2016-03)
    This work converts the surveillance video to a temporal domain image called temporal profile that is scrollable and scalable for quick searching of long surveillance video by human operators. Such a profile is sampled with ...
  • Peng, Wei; Li, Feng; Zou, Xukai (IEEE, 2015-06)
    The present work studies content distribution in heterogeneous smart device networks, in which all smartphones/ tablets can communicate through proximity channels such as Bluetooth/NFC/Wi-Fi Direct when they are in proximity, ...
  • Luo, Dixin; Xu, Hongteng; Zhen, Yi; Ning, Xia; Zha, Hongyuan; Yang, Xiaokang; Zhang, Wenjun (ACM, 2015-07)
    We propose a Multi-task Multi-dimensional Hawkes Process (MMHP) for modeling event sequences where there exist multiple triggering patterns within sequences and structures across sequences. MMHP is able to model the dynamics ...
  • Owens, Harold II; Durresi, Arjan (Elsevier, 2015-12)
    Supporting end-to-end quality of service (QoS) for real-time interactive video applications, such as video conferencing and distance learning, requires the network to select an optimum path from among multiple paths. ...
  • Ge, Jiaqi; Xia, Yuni; Wang, Jian (Springer, 2015)
    This paper proposes a sequential pattern mining (SPM) algorithm in large scale uncertain databases. Uncertain sequence databases are widely used to model inaccurate or imprecise timestamped data in many real applications, ...
  • Ge, Jiaqi; Xia, Yuni; Wang, Jian (Springer, 2015)
    Uncertain sequence databases are widely used to model data with inaccurate or imprecise timestamps in many real world applications. In this paper, we use uniform distributions to model uncertain timestamps and adopt possible ...
  • Kumar, Anand; Grupcev, Vladimir; Berrada, Meryem; Fogarty, Joseph C.; Tu, Yi-Cheng; Zhu, Xingquan; Pandit, Sagar A.; Xia, Yuni (SpringerOpen, 2014-11-26)
    Molecular Simulation (MS) is a powerful tool for studying physical/chemical features of large systems and has seen applications in many scientific and engineering domains. During the simulation process, the experiments ...
  • Saha, Tanay Kumar; Zhang, Baichuan; Al Hasan, Mohammad (Springer, 2015-12)
    In a social community, multiple persons may share the same name, phone number or some other identifying attributes. This, along with other phenomena, such as name abbreviation, name misspelling, and human error lead to ...
  • Dundar, Murat; Akova, Ferit; Yerebakan, Halid Z.; Rajwa, Bartek (Springer (Biomed Central Ltd.), 2014)
    BACKGROUND: Flow cytometry (FC)-based computer-aided diagnostics is an emerging technique utilizing modern multiparametric cytometry systems.The major difficulty in using machine-learning approaches for classification of ...
  • Hammes, Nathan; Racette, Lyne; Samuels, B. C.; Tsechpenakis, Gavriil (IEEE, 2015-04)
    Glaucoma, a leading cause of blindness worldwide, can be detected using retinal thicknesses from spectral-domain optical coherence tomography (SD-OCT) scans of the macula. We calculate the desired thickness maps as the ...
  • Wang, Yan; Chen, Yingying; Ye, Fan; Yang, Jie; Liu, Hongbo (IEEE, 2015-06)
    Many smartphone apps routinely gather various private user data and send them to advertisers. Despite recent study on protection mechanisms and analysis on apps' behavior, the understanding about the consequences of such ...
  • Gulyanon, Sarun; Sharifai, N.; Bleykhman, S.; Kelly, E.; Kim, M. D.; Chiba, A.; Tsechpenakis, Gavriil (IEEE, 2015-04)
    We study the 3D neurite tracing problem in different imaging modalities. We consider that the examined images do not provide sufficient contrast between neurite and background, and the signal-to-noise ratio varies spatially. ...
  • Song, Fengguang; Dongarra, Jack (Wiley, 2015-09)
    Aiming to fully exploit the computing power of all CPUs and all graphics processing units (GPUs) on hybrid CPU-GPU systems to solve dense linear algebra problems, we design a class of heterogeneous tile algorithms to ...
  • Yue, Zongliang; Kshirsagar, Madhura M.; Nguyen, Thanh; Suphavilai, Chayaporn; Neylon, Michael T.; Zhu, Liugen; Ratliff, Timothy; Chen, Jake Y. (Oxford University Press, 2015-06-15)
    In this article, we described a new database framework to perform integrative "gene-set, network, and pathway analysis" (GNPA). In this framework, we integrated heterogeneous data on pathways, annotated list, and gene-sets ...
  • Hill, James H.; Feiock, Dennis C. (ACM, 2015)
    This paper presents a framework named Pin++. Pin++ is an object-oriented framework that uses template metaprogramming to implement Pintools, which are analysis tools for the dynamic binary instrumentation tool named Pin. ...
  • Babbar-Sebens, Meghna; Mukhopadhyay, Snehasis; Singh, Vidya Bhushan; Piemonti, Adriana Debora (Elsevier, 2015-07)
    WRESTORE (Watershed Restoration Using Spatio-Temporal Optimization of Resources) is a web-based, participatory planning tool that can be used to engage with watershed stakeholder communities, and involve them in using ...
  • Ge, Jiaqi; Xia, Yuni; Wang, Jian (IEEE, 2014-10)
    This paper proposes a novel naïve Bayesian classifier in categorical uncertain data streams. Uncertainty in categorical data is usually represented by vector valued discrete pdf, which has to be carefully handled to ...
  • Bagheri, Saeid; Zheng, Jiang Yu (IEEE, 2014-07)
    Surveillance videos are recorded pervasively and their retrieval currently still relies on human operators. As an intermediate representation, this work develops a new temporal profile of video to convey accurate temporal ...

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