| Vol-2192 urn:nbn:de:0074-2192-8 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# IAL 2018
Interactive Adaptive Learning

### Proceedings of the Workshop on Interactive Adaptive Learning
co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018)

### Dublin, Ireland, September 10th, 2018.

Edited by

### Georg Krempl *
Vincent Lemaire **
Daniel Kottke ***
Adrian Calma ***
Andreas Holzinger ****
Robi Polikar *****
Bernhard Sick ***

* Utrecht University, Faculty of Science, 3512 JE Utrecht, Netherlands
** Orange Labs, 22300 Lannion, France
*** University of Kassel, Faculty of Electrical Engineering and Computer Science, 34121 Kassel, Germany
**** Graz University of Technology, Institute of Interactive Systems & Data Science, 8010 Graz, Austria
***** Rowan University, Research Laboratory, 08028 Glassboro, New Jersey

## Table of Contents

- Front Matter
- Preface
- Table of Contents

### Full Research Papers

- On the Labeling Correctness in Computer Vision Datasets 1-23
  Mohammed Al-Rawi, Dimosthenis Karatzas
- Semi-supervised and Active Learning in Video Scene Classification from Statistical Features 24-35
  Tomáš Šabata, Petr Pulc, Martin Holena
- Active Stream Learning with an Oracle of Unknown Availability for Sentiment Prediction 36-47
  Elson Serrao, Myra Spiliopoulou
- ActivMetal: Algorithm Recommendation with Active Meta Learning 48-59
  Lisheng Sun-Hosoya, Isabelle Guyon, Michele Sebag
- Alignment-Based Topic Extraction Using Word Embedding 60-72
  Tyler Newman, Paul Anderson

### Extended Abstracts

- Human-Technology Relations in a Machine Learning Based Commuter App 73-76
  Lars Holmberg
- An Interactive Learning Scenario for Real-time Environmental State Estimation Based on Heterogeneous and Dynamic Sensor Systems 77-79
  Agnes Tegen, Paul Davidsson, Jan Persson
- Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization 80-84
  Jakub Repický, Zbyněk Pitra, Martin Holena
- Towards Interactive Feature Selection with Human-in-the-loop 85-88
  Maialen Larranaga, Dimitra Gkorou, Thiago Guzella, Alexander Ypma, Faegheh Hasibi, Robert Jan van Wijk
- Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization 89-94
  Zbyněk Pitra, Jakub Repický, Martin Holena
- Embodiment Adaptation from Interactive Trajectory Preferences 95-97
  Michael Walton, Ben Migliori, John Reeder

2018-09-06: submitted by Daniel Kottke, metadata incl. bibliographic data published under Creative Commons CC0
2018-09-06: published on CEUR-WS.org |valid HTML5|