Publications

This page contains a list of all the publications done by the members of the Exploratory Data Analysis Group since 2018. More detailed lists, including earlier works, can be found via the People page.

2019

Sparse Robust Regression for Explaining Classifiers.
Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, and Kai Puolamäki.
Proceedings of the 22nd International Conference on Discovery Science (DS 2019 Best Student Paper Award).
[doi:10.1007/978-3-030-33778-0_27] [pdf] [slides] [code]

Significance of Patterns in Data Visualisations.
Rafael Savvides, Andreas Henelius, Emilia Oikarinen, and Kai Puolamäki.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19).
[doi:10.1145/3292500.3330994] [video] [code]

Estimating regression errors without ground truth values.
Henri, Tiittanen, Emilia Oikarinen, Andreas Henelius, and Kai Puolamäki.
[preprint arXiv:1910.04069] [code]

A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback.
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, and Tijl De Bie.
IEEE Transactions on Knowledge and Data Engineering.
[doi:10.1109/TKDE.2019.2907082]

Experimental study of cognitive limitations in a data-based judgement task.
Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, and Kai Puolamäki.
Behaviour & Information Technology.
[doi:10.1080/0144929X.2019.1657181]

Cognitive ergonomics for data analysis.
Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen and Kai Puolamäki.
Proceedings of the 31st European Conference on Cognitive Ergonomics (ECCE 2019).
[doi:10.1145/3335082.3335112]

Randomization algorithms for large sparse networks.
Kai Puolamäki, Andreas Henelius, Antti Ukkonen.
Physical Review E 99(5): 053311, 2019.
[doi:10.1103/PhysRevE.99.053311] [code]

Supervised Human-guided Data Exploration.
Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, and Mykola Pechenizkiy.
Proceeding of the ECML PKDD  Workshop on Automating Data Science, 2019.
[pdf] [code]

Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach.
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, and Tijl De Bie.
Data Mining and Knowledge Discovery.
[doi:10.1007/s10618-019-00655-x]

Guided Visual Exploration of Relations in Data Sets.
Kai Puolamäki, Emilia Oikarinen, and Andreas Henelius.
[preprint arXiv:1905.02515] [code]

Effects of live music therapy on heart rate variability and self-reported stress and anxiety among hospitalized pregnant women: A randomized controlled trial.
Pia Teckenberg-Jansson, Siiri Turunen, Tarja Pölkk, Minna-Johanna Lauri-Haikala, Jari Lipsanen, Andreas Henelius, and Minna Huotilainen.
Nordic Journal of Music Therapy, 28.
[doi:10.1080/08098131.2018.1546223]

A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site.
Mansour A. Alghamdi, Afnan Al-Hunaiti, Sharif Arar; Mamdouh Khoder, Ahmad S. Abdelmaksoud, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen, Ibrahim I. Shabbaj, Fahd M. Almehmadi,  Martha A. Zaidan, Tareq Hussein, Lubna Dada.
International Journal of Environmental Research and Public Health 16, no. 2: 258.
[doi:10.3390/ijerph16020258]

2018

Tiler: Software for Human-Guided Data Exploration
Andreas Henelius, Emilia Oikarinen, and Kai Puolamäki.
Proceedings of European Conference of Machine Learning and Knowledge Discovery in Databases.
[doi:10.1007/978-3-030-10997-4_49] [pdf] [video] [code]

Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, and Tijl De Bie.
Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018), pages 1208-1211.
[doi:10.1109/ICDE.2018.00112] [extended version arXiv:1710.08167] [code]

Subjectively Interesting Subgroup Discovery on Real-valued Targets
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, and Tijl De Bie.
Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018), pages 1352-1355.
[doi:10.1109/ICDE.2018.00148] [extended version arXiv:1710.04521]

MIDAS: Open-source framework for distributed online analysis of data streams
Andreas Henelius and Jari Torniainen.
SoftwareX 7 (2018): 156-161.
[doi:10.1016/j.softx.2018.04.004]

Recurrent On-Duty Sleepiness and Alertness Management Strategies in Long-Haul Airline Pilots
Mikael Sallinen, Torbjörn Åkerstedt, Mikko Härmä, Andreas Henelius, Kimmo Ketola, Marianne Leinikka, Göran Kecklund et al.
Aerospace Medicine and Human Performance 89, no. 7 (2018): 601-608.
[doi:10.3357/AMHP.5092.2018]

Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment
Lauri Ahonen, Benjamin Ultan Cowley, Arto Hellas, and Kai Puolamäki.
Scientific Reports 8(1): 3138, 2018. 
[doi:10.1038/s41598-018-21518-3]

Curating Scientific Information in Knowledge InfrastructuresMarkus Stocker
Markus Stocker ,  Pauli Paasonen,  Markus Fiebig, Martha A. Zaidan,  Alex Hardist.
Data Science Journal, 17, p.21, 2018. 
[doi:10.5334/dsj-2018-021]

Predicting Atmospheric Particle Formation Days by Bayesian Classification of the Time Series Features
Martha A. Zaidan, Ville Haapasilta, Rishi Relan, Heikki Junninen, Pasi P. Aalto, Markku Kulmala, Lasse Laursson and Adam S. Foster. Tellus B:
Chemical & Physical Meteorology, 1-10, 2018.
[doi:10.1080/16000889.2018.1530031]

Exploring nonlinear associations between atmospheric new-particle formation and ambient variables: an information theoretic approach
Martha A. Zaidan, Ville Haapasilta, Rishi Relan, Pauli Paasonen, Veli-Matti Kerminen, Heikki Junninen, Markku Kulmala, and Adam S. Foster.
Atmospheric Chemistry and Physics 18 (17), 12699-12714, 2018. 
[doi:10.5194/acp-18-12699-2018]