Now showing items 1-6 of 6

    • DeepQA: improving the estimation of single protein model quality with deep belief networks 

      Cao, Renzhi; Bhattacharya, Debswapna; Hou, Jie; Cheng, Jianlin (BioMed Central Ltd, 2016-12-05)
      Background: Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality ...
    • Health diagnostics using multi-attribute classification fusion 

      Wang, Pingfeng; Tamilselvan, Prasanna; Hu, Chao (Elsevier Ltd., 2014-06)
      This paper presents a classification fusion approach for health diagnostics that can leverage the strengths of multiple member classifiers to form a robust classification model. The developed approach consists of three ...
    • Machine learning applied to programming quantum computers 

      Steck, James E.; Behrman, Elizabeth C.; Thompson, Nathan (American Institute of Aeronautics and Astronautics, 2019-01-06)
      We apply machine learning to “program” quantum computers, both in simulation and in experimental hardware. A major difficulty in quantum computing is developing effective algorithms that can be programmed on a quantum ...
    • A machine-learning based approach to privacy-aware information-sharing in mobile social networks 

      Bilogrevic, Igor; Huguenin, Kevin; Agir, Berker; Jadliwala, Murtuza Shabbir; Gazaki, Maria; Hubaux, Jean-Pierre (Elsevier B.V., 2016-01)
      Contextual information about users is increasingly shared on mobile social networks. Examples of such information include users' locations, events, activities, and the co-presence of others in proximity. When disclosing ...
    • Prediction of airline delays based on machine learning algorithms 

      Dand, Alok; Saeed, Khawaja A.; Yildirim, Mehmet Bayram (Association for Information Systems, 2019)
      Every year around 20% of all flights are delayed or canceled. The costs of these events to the airline companies and passengers are in billions of dollars each year. According to a report published in 2010 by UC Berkeley, ...
    • Supervised machine learning approach for effective supplier classification 

      Harikrishnakumar, Ramkumar; Dand, Alok; Nannapaneni, Saideep; Krishnan, Krishna K. (IEEE, 2019-12)
      Supplier assessment plays a critical role in the supply chain management, which involves the flow of goods and services from the initial stage (raw material procurement) to the final stage (delivery). Supplier assessment ...