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  • Machine learning methods for biomedical relation extraction 

    Panyam Chandrasekarasastry, Nagesh (2018)
    Automated text mining has emerged as an important method for effective comprehension of the fast growing body of biomedical publications. Within this topic, relation extraction refers to the goal of automated extraction ...
  • On dynamic tensor decompositions 

    Zhou, Shuo (2019)
    Tensors are multi-way arrays that can be used to represent multi-dimensional data such as video clips, time-evolving graphs/networks, and spatio-temporal data like fMRI. In recent years, CANDECOMP/PARAFAC (CP) decomposition, ...
  • Accurate and efficient human activity recognition 

    Cheng, Weihao (2018)
    Human Activity Recognition (HAR) is a promising technology which enables artificial intelligence systems to identify user's physical activities such as walking, running, and cycling. Recently, the demand for HAR is ...

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