IAL@ECML-PKDD 2023
Interactive Adaptive Learning 2023

Table of Contents

• Preface
  Summary: There were 11 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 5 as regular papers and 3 as short papers. In addition, we publish an extended abstract of the tutorial that we give as a part of the workshop program.

Extended Abstracts

• Tutorial: Interactive Adaptive Learning 1-8
  Mirko Bunse, Georg Krempl, Alaa Tharwat, Amal Saadallah
• Challenges for Active Feature Acquisition and Imputation on Data Streams 9-13
  Christian Beyer, Maik Büttner, Myra Spiliopoulou
• Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning 14-18
  Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider, Sarah Oeste-Reiß
• Role of Hyperparameters in Deep Active Learning 19-24
  Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick

Research Papers

• Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets 25-45
  Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick
• Active Learning for Survival Analysis with Incrementally Disclosed Label Information 46-64
  Klest Dedja, Felipe Kenji Nakano, Celine Vens
• Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering 65-73
  Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
• Look and You Will Find It: Fairness-Aware Data Collection through Active Learning 74-88
  Hilde Weerts, Renée Theunissen, Martijn C. Willemsen
• Interpretable Meta-Active Learning for Regression Ensemble Learning 89-103
  Ons Saadallah, Zied Rouissi