| Vol-2479 urn:nbn:de:0074-2479-6 Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 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).

# EEML 2019

# Experimental Economics and Machine Learning

### Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning
at the National Research University Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7)

### Perm, Russia, September 26, 2019.

Edited by

### Aleksey V. Buzmakov *
Kai Heinrich **
Dmitry I. Ignatov ***
Rustam Tagiew ****
Dmitriy B. Potapov *

*Faculty of Economics, Management, and Business Informatics, National Research University Higher School of Economics, Perm, Russia
** Business Intelligence Research, Faculty of Business and Economics, Technische Universität, Dresden, Germany
*** Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia
**** Institut für Informatik TU, Freiberg, Germany

## Table of Contents

- Preface

### Keynote Talk

- Field Experimentation in Marketing Research 1
  Ayelet Gneezy

### Invited Industry Talk

- Online Classified Advertisements 2
  Vasily A. Leksin

### Regular Papers

- Deep Reinforcement Learning with VizDoom First-Person Shooter 3-17
  Dmitry Akimov, Ilya Makarov
- Searching for Interpretable Demographic Patterns 18-31
  Anna Muratova, Robiul Islam, Ekaterina Mitrofanova, Dmitry I. Ignatov
- Fundamental Factors Affecting the MOEX Russia Index: Retrospective Analysis 32-45
  Anastasiia Saltykova, Agata Lozinskaia
- The Comparison of Methods for Individual Treatment Effect Detection 46-56
  Daria Semenova, Maria Temirkaeva
- Efficient Algorithms for Constructing Multiplex Networks Embedding 57-67
  Pavel Zolnikov, Maxim Zubov, Nikita Nikitinsky, Ilya Makarov

### Industry Research Paper

- Deep Quarantine for Suspicious Mail 68-76
  Nikita Benkovich, Roman Dedenok, Dmitry Golubev

### Project Proposals

- Attribution of Customers' Actions Based on Machine Learning Approach 77-88
  Timur Kadyrov, Dmitry I. Ignatov
- General Game Playing B-to-B Price Negotiations 89-99
  Friedrich Michael, Dmitry I. Ignatov
- Neural Network Associative Forecasting of Demand for Goods 100-108
  Vasiliy Osipov, Nataly Zhukova, Dmitriy Miloserdov
- Glioblastoma Multiforme Classification On High Resolution Histology Image Using Deep Spatial Fusion Network 109-120
  Sobana Sumi, Radhakrishnan Delhibabu
- Deception Detection in Online Media 121-127
  Alsu Zaynutdinova, Dina Pisarevskaya, Maxim Zubov, Ilya Makarov

### Full Proceedings

- The complete EEML 2019 proceedings in one ZIP file

2019-17-DD: submitted by Dmitry Ignatov, metadata incl. bibliographic data published under Creative Commons CC0
2019-11-dd: published on CEUR-WS.org |valid HTML5|