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The 6th IEEE International Conference on Data Science and Advanced Analytics

5–8 October 2019
Washington DC — USA

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The 6th IEEE International Conference on
Data Science and Advanced Analytics

5–8 October 2019
Washington DC — USA

Late-breaking Poster

  • Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition
  • Incheon Paik and Akila Siriweera
  • Improving the Personalized Recommendation in the Cold-start Scenarios
  • Peter Gašpar, Matej Koncal, Michal Kompan and Maria Bielikova
  • Universal Consistency of Support Tensor Machine
  • Peide Li and Tapabrata Maiti
  • Detection Model of Depression Based on Eye Movement Trajectory
  • Yifang Yuan and Qingxiang Wang
  • Data Reduction for real-time bridge vibration data on Edge
  • Anthony Chen, Fu-Hsuan Liu and Sheng-De Wang
  • Don’t Cry Wolf
  • Tamraparni Dasu, Divesh Srivastava, Phil Brown, Yaron Kanza, Eleftherios Koutsofios and Rajat Malik
  • Augmenting U.S. Census data on industry and occupation of respondents
  • Peter Meyer and Kendra Hathaway Asher
  • Exploring the Relationship Between Conversation Using \#MeToo and University Harassment Policies
  • Julianne Zech, Fransiska Dale, Lisa Singh, Jamillah Williams and Naomi Mezey
  • Using Machine Learning to Predict High School Student Employability – A Case Study
  • Aarushi Dubey and Muthukumara Mani
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