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Discovery Science

24th International Conference, DS 2021, Halifax, NS, Canada, October 11–13, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Carlos Soares

    1. Universidade do Porto and Fraunhofer Portugal AICOS, Porto, Portugal

  2. Luis Torgo

    1. Dalhousie University, Halifax, Canada

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12986)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: DS 2021.

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About this book

This book constitutes the proceedings of the 24th International Conference on Discovery Science, DS 2021, which took place virtually during October 11-13, 2021.

The 36 papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: applications; classification; data streams; graph and network mining; machine learning for COVID-19; neural networks and deep learning; preferences and recommender systems; representation learning and feature selection; responsible artificial intelligence; and spatial, temporal and spatiotemporal data.

 

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Automated Grading of Exam Responses: An Extensive Classification Benchmark

      • Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli, Zed Lee, Panagiotis Papapetrou et al.
      Pages 3-18

    3. Automatic Human-Like Detection of Code Smells

      • Chitsutha Soomlek, Jan N. van Rijn, Marcello M. Bonsangue
      Pages 19-28

    4. HTML-LSTM: Information Extraction from HTML Tables in Web Pages Using Tree-Structured LSTM

      • Kazuki Kawamura, Akihiro Yamamoto
      Pages 29-43

    5. Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention

      • Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi
      Pages 44-54

  3. Classification

    1. Front Matter

      Pages 55-55
      Download chapter PDF

    2. A Semi-supervised Framework for Misinformation Detection

      • Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
      Pages 57-66

    3. An Analysis of Performance Metrics for Imbalanced Classification

      • Jean-Gabriel Gaudreault, Paula Branco, João Gama
      Pages 67-77

    4. Combining Predictions Under Uncertainty: The Case of Random Decision Trees

      • Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
      Pages 78-93

    5. Shapley-Value Data Valuation for Semi-supervised Learning

      • Christie Courtnage, Evgueni Smirnov
      Pages 94-108

  4. Data Streams

    1. Front Matter

      Pages 109-109
      Download chapter PDF

    2. A Network Intrusion Detection System for Concept Drifting Network Traffic Data

      • Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
      Pages 111-121

    3. Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams

      • Maroua Bahri, Albert Bifet
      Pages 122-137

    4. Statistical Analysis of Pairwise Connectivity

      • Georg Krempl, Daniel Kottke, Tuan Pham
      Pages 138-148

  5. Graph and Network Mining

    1. Front Matter

      Pages 149-149
      Download chapter PDF

    2. FHA: Fast Heuristic Attack Against Graph Convolutional Networks

      • Haoxi Zhan, Xiaobing Pei
      Pages 151-165

    3. Ranking Structured Objects with Graph Neural Networks

      • Clemens Damke, Eyke Hüllermeier
      Pages 166-180

  6. Machine Learning for COVID-19

    1. Front Matter

      Pages 181-181
      Download chapter PDF

    2. Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models

      • Aleksandar Novakovic, Adele H. Marshall, Carolyn McGregor
      Pages 183-193
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Other volumes

  1. Discovery Science

Editors and Affiliations

  • Universidade do Porto and Fraunhofer Portugal AICOS, Porto, Portugal

    Carlos Soares

  • Dalhousie University, Halifax, Canada

    Luis Torgo

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