Samuel Rönnqvist, PhD

Researcher

Twitter Thumb-tack Linkedin Envelope

Biography

Samuel Rönnqvist is a PhD student in Computer Science at Åbo Akademi University (ÅAU) and Turku Centre for Computer Science. He has a MSc in Computer Science from ÅAU in 2012. He has also studied at the Technical University of Valencia and University of Turku. The main focuses of his research are text mining and visual analytics applied towards the study of financial, systemic risk.

Selected publications

1.
Rönnqvist, S. & Sarlin, P. Bank distress in the news: Describing events through deep learning. Neurocomputing 264, 57--70 (2017). http://doi.org/10.1016/j.neucom.2016.12.110
1.
Rönnqvist, S. & Sarlin, P. Detect & Describe: Deep Learning of Bank Stress in the News. in Proceedings of the 2015 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr) (IEEE Press, 2015). http://doi.org/10.1109/SSCI.2015.131
1.
Rönnqvist, S. & Sarlin, P. Bank Networks from Text: Interrelations, Centrality and Determinants. Quantitative Finance 15(10), 1619--1635 (2015). http://doi.org/10.1080/14697688.2015.1071076
1.
Rönnqvist, S. & Sarlin, P. From Text to Bank Interrelation Maps. in Proceedings of the 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr) (IEEE Press, 2014). http://doi.org/10.1109/CIFEr.2014.6924053
1.
Holmbom, A., Rönnqvist, S., Sarlin, P., Eklund, T. & Back, B. Green vs. non-green customer behavior: A Self-Organizing Time Map over greenness. in Proceedings of the 13th IEEE International Conference on Data Mining Workshops (ICDMW’13) (IEEE Press, 2013). http://doi.org/10.1109/ICDMW.2013.103
1.
Sarlin, P. & Rönnqvist, S. Cluster coloring of the Self-Organizing Map: An information visualization perspective. in Proceedings of the International Conference on Information Visualization (iV 13) (IEEE Press, 2013). http://doi.org/10.1109/IV.2013.72