Now showing items 1-16 of 16

    • A Context-Aware Approach to Entity Linking 

      Stoyanov, veselin; Mayfield, James; Xu, Tan; Oard, Doug; Lawrie, Dawn; Oates, Tim; Finin, Tim (Association for Computational Linguistics, 2012-06-07)
      Entity linking refers to the task of assigning mentions in documents to their corresponding knowledge base entities. Entity linking is a central step in knowledge base population. Current entity linking systems do not ...
    • A Data Driven Approach for the Science of Cyber Security: Challenges and Directions 

      Thuraisingham, Bhavani; Kantarcioglu, Murat; Hamlen, Kevin; Khan, Latifur; Finin, Tim; Joshi, Anupam; Oates, Tim; Bertino, Elisa (IEEE, 2016-12-19)
      This paper describes a data driven approach to studying the science of cyber security (SoS). It argues that science is driven by data. It then describes issues and approaches towards the following three aspects: (i) Data ...
    • Detecting Spam Blogs: A Machine Learning Approach 

      Kolari, Pranam; Java, Akshay; Finin, Tim; Oates, Tim; Joshi, Anupam (AAAI, 2006-07-16)
      Weblogs or blogs are an important new way to publish information, engage in discussions, and form communities on the Internet. The Blogosphere has unfortunately been infected by several varieties of spam-like content. Blog ...
    • Discovering Domain-Specific Composite Kernels 

      Briggs, Tom; Oates, Tim (AAAI, 2005-07-09)
      Kernel-based data mining algorithms, such as Support Vector Machines, project data into high-dimensional feature spaces, wherein linear decision surfaces correspond to non-linear decision surfaces in the original feature ...
    • Discovering Morphology from Action Observation 

      Bell, Neil R.; Oates, Tim; Matuszek, Cynthia (2017)
    • Ensembles in Adversarial Classification for Spam 

      Chinavle, Deepak; Kolari, Pranam; Oates, Tim; Finin, Tim (ACM, 2009-11-02)
      The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performance of such classifiers tends to decrease ...
    • 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 ...
    • Feeds That Matter: A Study of Bloglines Subscriptions 

      Java, Akshay; Kolari, Pranam; Finin, Tim; Joshi, Anupam; Oates, Tim (2007-03-25)
      David Sifry's latest quarterly report on the state of the Blogosphere states that ``the size of the Blogosphere continues to double every six months". According to this report there are 33.5 million weblogs and many of ...
    • HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction 

      McNamee, Paul; Stoyanov, Veselin; Mayfield, James; Oates, Tim; Finin, Tim; Xu, Tan; Oard, Douglas W.; Lawrie, Dawn (2012-11)
      Our team from the JHU HLTCOE participated in the Entity Linking and Cold Start Knowledge Base tasks in this year’s Text Analysis Conference Knowledge Base Population evaluation. We have previously participated in TAC-KBP ...
    • Hybrid Mortality Prediction Using Multiple Source Systems 

      Mativo, Isaac; Yesha, Yelena; Grasso, Michael; Oates, Tim; Zhu, Qian
      The use of artificial intelligence in clinical care to improve decision support systems is increasing. This is not surprising since by its very nature, the practice of medicine consists of making decisions based on ...
    • KELVIN: a tool for automated knowledge base construction 

      McNamee, Paul; Mayfield, James; Finin, Tim; Oates, Tim; Lawrie, Dawn; Xu, Tan; Oard, Doug (2013-06-03)
      We present KELVIN, an automated system for processing a large text corpus and distilling a knowledge base about persons, organizations, and locations. We have tested the KELVIN system on several corpora, including: (a) the ...
    • Large Scale Taxonomy Classification using BiLSTM with Self-Attention 

      Gao, Hang; Oates, Tim (ACM, 2018-07)
      In this paper we present a deep learning model for the task of large scale taxonomy classification, where the model is expected to predict the corresponding category ID path given a product title. The proposed approach ...
    • Modeling the Spread of Influence on the Blogosphere 

      Java, Akshay; Kolari, Pranam; Finin, Tim; Oates, Tim (2006-03-14)
      Blogs have become a means by which new ideas and information spreads rapidly on the web. They often discuss the latest trends and echo with reactions on different events in the world. The collective wisdom present on the ...
    • On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning 

      Prakash, Bharat; Horton, Mark; Waytowich, Nicholas R.; Hairston, William David; Oates, Tim; Mohsenin, Tinoosh (2019-03-25)
      In autonomous embedded systems, it is often vital to reduce the amount of actions taken in the real world and energy required to learn a policy. Training reinforcement learning agents from high dimensional image ...
    • Real-Time Path Planning for a Robotic Arm 

      Krishnaswamy, Kavita; Sleeman, Jennifer; Oates, Tim (ACM, 2011-05-25)
      With robotics technology, services can be provided to care for individuals with disabilities. This paper describes an eff ort to improve path planning performance for a robotic arm, resulting in faster user response in ...
    • XPod: A Human Activity Aware Learning Mobile Music Player 

      Dornbush, Sandor; English, Jesse; Oates, Tim; Segall, Zary; Joshi, Anupam (2007-01-08)
      The XPod system, presented in this paper, aims to integrate awareness of human activity and musical preferences to produce an adaptive system that plays the contextually correct music. The XPod project introduces a “smart” ...