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Browsing Volgenau School of Engineering by Author "Rangwala, Huzefa"

Browsing Volgenau School of Engineering by Author "Rangwala, Huzefa"

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  • Jamali, Salman (2010-05-14)
    With the growing number of online collaborative news aggregator social websites, we witness thousands of comments posted by the internet community on individual news items shared on such networks. We started out with an ...
  • Rasheed, Zeehasham (2013)
    Advances in biotechnology have dramatically changed the manner of characterizing large populations of microbial communities that are ubiquitous across several environments. The process of "metagenomics" involves sequencing ...
  • Nagpaul, Sneha
    Given the deluge of data caused by crowd generated content from social media websites, the complexity of extracting information from has increased manifold. An important characteristic of such text is its original location ...
  • Mahmood, Syed Faraz (2013-02-18)
    Advances in sequencing technologies have revolutionized the eld of genomics by providing cost e ective and high throughput solutions. In this paper, we develop a parallel sequence assembler implemented on general purpose ...
  • Naik, Azad (2017)
    Advancement in digital technology has generated a massive amount of data. Large amount of information streaming in from various sources such as phones, tablets, computers and internet has made an immense need to provide a ...
  • Sweeney, Mack
    Student retention to successful graduation is an enduring issue in higher education. National statistics indicate most higher education institutions have four-year degree completion rates around 50%, or just half of their ...
  • Blasiak, Samuel J. (2013-08)
    The need to operate on sequence data is prevalent across a range of real world applications including protein/DNA classification, speech recognition, intrusion detection, and text classification. Sequence data can be ...
  • Saha, Tanwistha (2014)
    Classification of nodes in relational networks is an important task because it involves applications in multiple areas that can impact people's lives on a daily basis. The inability to use traditional classification ...
  • Muralidhar, Nikhil
    News has in this day and age, transformed primarily into a digital format with leading newspapers and news agencies having a significant online presence. The speed at which news reaches the reader notwithstanding, the ...
  • Charuvaka, Anveshi (2015)
    Supervised classification is a sub-task of machine learning where the goal is to infer a classification function using labeled data. A vast amount of research has been conducted in this area addressing various classification ...
  • Naik, Azad (2013-09-13)
    Multi-Task Learning (MTL) involves learning of multiple tasks, jointly. It seeks to improve the generalization performance of each task by leveraging the relationships among the different tasks. It is an advanced concept ...

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