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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

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    You can also search for this editor in PubMed   Google Scholar

  2. Luis Torgo

    1. Dalhousie University, Halifax, Canada

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    You can also search for this editor in PubMed   Google Scholar

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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Table of contents (36 papers)

  1. Front Matter

    Pages i-xii
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  2. Applications

    1. Front Matter

      Pages 1-1
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    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
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    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
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    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
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    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
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    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

Keywords

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.

 

Editors and Affiliations

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

    Carlos Soares

  • Dalhousie University, Halifax, Canada

    Luis Torgo

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