| Exploring biomolecular literature with EVEX: connecting genes through events, homology, and indirect associations S Van Landeghem, K Hakala, S Rönnqvist, T Salakoski, Y Van de Peer, ... Advances in bioinformatics 2012, 2012 | 36 | 2012 |
| Bank distress in the news: Describing events through deep learning S Rönnqvist, P Sarlin Neurocomputing 264, 57-70, 2017 | 23 | 2017 |
| Bank networks from text: interrelations, centrality and determinants S Rönnqvist, P Sarlin Quantitative Finance 15 (10), 1619-1635, 2015 | 14 | 2015 |
| Do we really need all those rich linguistic features? a neural network-based approach to implicit sense labeling N Schenk, C Chiarcos, K Donandt, S Rönnqvist, E Stepanov, G Riccardi Proceedings of the CoNLL-16 shared task, 41-49, 2016 | 12 | 2016 |
| Detect & describe: Deep learning of bank stress in the news S Rönnqvist, P Sarlin 2015 IEEE Symposium Series on Computational Intelligence, 890-897, 2015 | 10 | 2015 |
| Cluster coloring of the Self-Organizing Map: An information visualization perspective P Sarlin, S Rönnqvist 2013 17th International Conference on Information Visualisation, 532-538, 2013 | 10 | 2013 |
| From text to bank interrelation maps S Rönnqvist, P Sarlin 2014 IEEE Conference on Computational Intelligence for Financial Engineering …, 2014 | 8 | 2014 |
| A recurrent neural model with attention for the recognition of Chinese implicit discourse relations S Rönnqvist, N Schenk, C Chiarcos arXiv preprint arXiv:1704.08092, 2017 | 5 | 2017 |
| Interactive visual exploration of topic models using graphs S Rönnqvist, X Wang, P Sarlin arXiv preprint arXiv:1409.5623, 2014 | 5 | 2014 |
| Deep learning bank distress from news and numerical financial data P Cerchiello, G Nicola, S Ronnqvist, P Sarlin arXiv preprint arXiv:1706.09627, 2017 | 4 | 2017 |
| Exploratory topic modeling with distributional semantics S Rönnqvist International Symposium on Intelligent Data Analysis, 241-252, 2015 | 4 | 2015 |
| Identifying bank stress by deep learning of news S Rönnqvist, P Sarlin Workshop New Challenges in Neural Computation 2015, 112, 2015 | 3 | 2015 |
| From text to bank interrelation maps S Rönnqvist, P Sarlin arXiv preprint arXiv:1306.3856, 2013 | 3 | 2013 |
| Alluvial SOTM: Visualizing transitions and changes in cluster structure of the Self-Organizing Time Map S Rönnqvist, P Sarlin Proceedings of the Eurographics Conference on Visualization (EuroVis’ 14 …, 2014 | 2 | 2014 |
| Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness AH Holmbom, S Rönnqvist, P Sarlin, T Eklund, B Back 2013 IEEE 13th International Conference on Data Mining Workshops, 529-535, 2013 | 2 | 2013 |
| Deep Learning for Assessing Banks’ Distress from News and Numerical Financial Data P Cerchiello, G Nicola, S Rönnqvist, P Sarlin Michael J. Brennan Irish Finance Working Paper Series Research Paper, 2018 | | 2018 |
| Sentiment in Citizen Feedback: Exploration by Supervised Learning R Lybeck, S Rönnqvist, S Ruoppila EGOV-CeDEM-ePart 2018, 133, 2018 | | 2018 |
| Knowledge-lean Text Mining S Rönnqvist Turku Centre for Computer Science, 2017 | | 2017 |
| Bank networks from text: interrelations, centrality and determinants P Sarlin, S Rönnqvist | | 2015 |
| Combining human and computational intelligence through interactive visualization S Rönnqvist | | 2014 |
Peter SarlinHanken School of Economics & RiskLab FinlandGeverifieerd e-mailadres voor risklab.fi