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

6-9 October 2020
Sydney, Australia

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

6-9 October 2020
Sydney, Australia

Accepted Posters

Industry Posters

  • Bayesian Estimation of the Effect of Television Advertising on Web Metrics
  • Ritwik Sinha, Shiv Saini, Moumita Sinha and David Arbour

  • Data Profiling Method for Metadata Management
  • Kazuhide Aikoh, Yuya Isoda and Ken Sugimoto

  • Machine Learning for evaluating Kaizens in Volkswagen Production System – An Industrial Case study
  • Akshay Thakur, Robert Beck, Sanaz Mosthaghim and Daniel Großmann
    Student Posters

  • Classification Between Machine Translated Text and Original Text By Part Of Speech Tagging Representation
  • Nancirose Piazza

  • An Adaptive Utilization of Convolution Matrix method on Neuron Cell Segmentation with an Application Interface to Aid the Understanding of How Money Recall Works
  • Neeraj Rattehalli and Ishan Jain

  • DermaDetect: A Computer Vision Model for an Accurate Diagnosis of Skin Conditions and Rashes
  • Siddharth Sharma

  • Improving Sentiment Analysis in Arabic and English Languages by Using Multi-Layer Perceptron Model (MLP)
  • Maram Almaghrabi and Girija Chetty

  • Cluster Quality Analysis Using Silhouette Score
  • Ketan Rajshekhar Shahapure and Charles Nicholas

  • Bayesian Modeling Approach in Big Data Contexts: An Application in Spatial Epidemiology
  • Erick Orozco-Acosta, Aritz Adin and María Dolores Ugarte

  • An Automatic Document Summarization Approach based on Fuzzy Ontology and Machine Learning
  • Hongfei Liu and Qian Gao

  • Robust Multivariate Regression on Riemannian Manifolds
  • Sangyul Lee and Hee-Seok Oh

  • Adapting Established Text Representations for Predicting Review Sentiment in Turkish
  • Izel Cavusoglu, Maren Pielka and Rafet Sifa

  • Querying Influential Maximum Connected Community in Large Graphs
  • Yuehao Xu, Renjie Sun, Yanping Wu, Chen Chen and Xiaoyang Wang

  • Building Multiclass Classification Baselines for Anomaly-based Network Intrusion Detection Systems
  • Ajay Shah, Sophine Clachar, Davis Cook and Manfred Minimair

  • Building up Explainability in Multi-layer Perceptrons for Credit Risk Modeling
  • Rudrani Sharma, Nicolas Vivarelli and Christoph Schommer

  • Predicting Workplace Injuries Using Machine Learning Algorithms
  • Divya Lakshminarayan Sukumar, Ji Zhang and Xiaohui Tao

  • Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for Finding Kernel Minimum Enclosing Balls
  • Hanna Kondratiuk and Rafet Sifa

  • Measuring Indirect External Threat: A Time Series Sentiment Analysis of NATO Resolutions
  • Erik Fay

  • The Directionality Function Defect of Performance Evaluation Method in Regression Neural Network for Stock Price Prediction
  • Yi Wei and Vipin Chaudhary

  • Improving Neural Networks using Slice Models for Similar Classes
  • Jinwook Kim and Min-Soo Kim

  • Landmarks-based Blocking Method For Large scale Entity Resolution
  • Samudra Herath, Matthew Roughan and Garique Glonek

  • Fake News Detection using Multilingual Evidence
  • Daryna Dementieva and Alexander Panchenko
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