| Vol-2660 urn:nbn:de:0074-2660-3 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IAL 2020
Interactive Adaptive Learning 2020

### Proceedings of the Workshop on Interactive Adaptive Learning
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020)

### Ghent, Belgium, September 14th, 2020.

Edited by

### Daniel Kottke *
Georg Krempl **
Vincent Lemaire ***
Andreas Holzinger ****
Adrian Calma

* University of Kassel, Faculty of Electrical Engineering and Computer Science, 34121 Kassel, Germany
** Utrecht University, Faculty of Science, 3512 JE Utrecht, Netherlands
*** Orange Labs, 22300 Lannion, France
**** Graz University of Technology, Institute of Interactive Systems & Data Science, 8010 Graz, Austria

## Table of Contents

- Front Matter
- Preface
- Table of Contents

### Invited Talks

- When Humans and AI Collide 1
  Kori Inkpen
- The Rapid Growth of Human-in-the-Loop Machine Learning 2
  Robert Munro
- How to Measure Uncertainty in Uncertainty Sampling for Active Learning 3
  Eyke Hüllermeier
- From Explainable AI to Human-Centered AI 4
  Andreas Holzinger

### Full Research Papers

- Improving Unsupervised Domain Adaptation with Representative Selection Techniques 5-21
  I-Ting Chen, Hsuan-Tien Lin
- On the Transferability of Deep Neural Networks for Recommender System 22-37
  Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
- Learning Active Learning at the Crossroads? Evaluation and Discussion 38-54
  Louis Desreumaux, Vincent Lemaire
- The Effects of Reluctant and Fallible Users in Interactive Online Machine Learning 55-71
  Agnes Tegen, Paul Davidsson, Jan A. Persson

### Short Papers

- Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings 72-77
  Tomáš Šabata, Martin Holeňa
- Towards Landscape Analysis in Adaptive Learning of Surrogate Models 78-83
  Zbyněk Pitra, Martin Holeňa
- VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions 84-89
  Andreas Theissler, Anna-Lena Kraft, Max Rudeck, Fabian Erlenbusch
- Get a Human-In-The-Loop: Feature Engineering via Interactive Visualizations 90-95
  Dimitra Gkorou, Maialen Larranaga, Alexander Ypma, Faegheh Hasibi, Robert Jan van Wijk

2020-08-28: submitted by Daniel Kottke, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-01: published on CEUR-WS.org |valid HTML5|