image 1 image 2 image 3

The 7th IEEE International Conference on Data Science and Advanced Analytics

6-9 October 2020
Sydney, Australia

image 1 image 2 image 3

The 7th IEEE International Conference on
Data Science and Advanced Analytics

6-9 October 2020
Sydney, Australia

Special Session Papers

Environmental and Geo-spatial Data Analytics (EnGeoData)

  • No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series
  • Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey Webb, Francois Petitjean and Katharina Morik

  • Urban and socio-economic correlates of property price evolution: Application to Dublin’s costal area
  • Damien Dupré

  • Performance Evaluation of Low-cost PurpleAir Sensors in Ambient Air
  • Kabseok Ko, Seokheon Cho and Ramesh R. Rao

  • On-Board Unit Big Data: Short-term TrafficForecasting in Urban Transportation Networks
  • Giovanni Buroni, Gianluca Bontempi, Daniele Raimondi, Yann-Ael Le Borgne and Karl Determe

  • Traffic Flow Estimation using Probe Vehicle Data
  • Olga Gkountouna, Andreas Züfle and Dieter Pfoser

  • Vehicle Relocation for Ride-Hailing
  • Joon-Seok Kim, Dieter Pfoser and Andreas Züfle
    Fake News, Bots and Trolls

  • Detecting Fake News Spreaders on Twitter from a Multilingual Perspective
  • Inna Vogel and Meghana Meghana

  • Watch ‘n’ Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts
  • Assunta Cerone, Elham Naghizade, Falk Scholer, Devi Mallal, Russell Skelton and Damiano Spina

  • Simulation of misinformation spreading processes in social networks: an application with NetLogo
  • Emilio Sulis and Marcella Tambuscio

  • Using markup language to differentiate between reliable and unreliable news
  • Caireann Kennedy and Josephine Griffith

  • Profiling Bots and Fake News Spreaders at PAN’19 and PAN’20
  • Juan Pizarro

  • Are You Human? Detecting Bots on Twitter Using BERT
  • David Dukić, Dominik Keča and Dominik Stipić

  • Modelling User Influence and Rumor Propagation on Social Networks with Hawkes Processes
  • H Ruda Nie, Xiuzhen Zhang, Anil Dolgun, Minyi Li and James Baglin

  • Multimodal Multi-image Fake News Detection
  • Anastasia Giachanou, Guobiao Zhang and Paolo Rosso
    Privacy, Security and Trust in Computational Intelligence (PSTCI)

  • Privacy-aware Cold-Start Recommendation based on Collaborative Filtering and Enhanced Trust
  • Fan Wang, Weiyi Zhong, Xiaolong Xu, Wajid Rafique, Zhili Zhou and Lianyong Qi

  • Reinforcement Learning Based Test Case Prioritization for Enhancing the Security of Software
  • Tingting Shi, Lei Xiao and Keshou Wu

  • Towards Privacy-Preserving Deep Learning: Opportunities and Challenges
  • Sheraz Ali, Muhammad Maaz Irfan, Abubakar Bomai and Chuan Zhao

  • Privacy-Preserving GWAS Computation on Outsourced Data Encrypted under Multiple Keys Through Hybrid System
  • Abubakar Bomai, Mohammed Shujaa Aldeen and Chuan Zhao

  • Personalized Course Recommendation Based on Eye-Tracking Technology and Deep Learning
  • Qi Chen, Xiaomei Yu, Nan Liu, Xiaoning Yuan and Zhaojie Wang

  • Practical Privacy Protection Scheme In WiFi Fingerprint-based Localization
  • Wenxiang Wu, Shaojing Fu and Yuchuan Luo

  • Naive Bayes Classification under Local Differential Privacy
  • Emre Yilmaz, Mohammad Al-Rubaie and J. Morris Chang

  • Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text
  • Balkaran Singh, Quan Sun, Yun Sing Koh, Junjae Lee and Edmond Zhang

  • Fair pairwise learning to rank
  • Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito and Stefan Kramer
    © Copyright | DSAA 2020