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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in journals (20):

• Samuel Rönnqvist, Peter Sarlin, Bank Distress in the News: Describing Events Through Deep Learning. Neurocomputing 264, 57–70, 2017.
• Samuel Rönnqvist, Peter Sarlin, Bank Networks from Text: Interrelations, Centrality and Determinants. Quantitative Finance 15(10), 1619–1635, 2015.
• Peter Sarlin, Henrik J. Nyman, The Process of Macroprudential Oversight in Europe. Global Policy 6(4), 389–407, 2015.
• Peter Sarlin, Shahrokh Nikou, József Mezei, Harry Bouwman, Visual Conjoint Analysis (VCA): A Topology of Preferences in Multi-Attribute Decision Making. Quality and Quantity , 1–21, 2014.
• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Combining Visual Customer Segmentation and Response Modeling. Neural Computing and Applications 25(1), 123–134, 2014.
• Peter Sarlin, Lectio precursoria: Kartläggning av finansiell stabilitet. Ekonomiska Samfundets Tidskrift 66(3), 187–193, 2013.
• Peter Sarlin, Self-Organizing Time Map: An Abstraction of Temporal Multivariate Patterns. Neurocomputing 99(1), 496–508, 2013.
• Peter Sarlin, On Policymakers’ Loss Functions and the Evaluation of Early Warning Systems. Economics Letters 119(1), 1–7, 2013.
• Peter Sarlin, Exploiting the Self-Organizing Financial Stability Map. Engineering Applications of Artificial Intelligence 26(5), 1532–1539, 2013.
• Peter Sarlin, Decomposing the Global Financial Crisis: A Self-Organizing Time Map. Pattern Recognition Letters 34, 1701–1709, 2013.
• Peter Sarlin, Tomas Eklund, Financial Performance Analysis of European Banks using a Fuzzified Self-Organizing Map. International Journal of Knowledge Based and Intelligent Engineering Systems 17(3), 223–234, 2013.
• Peter Sarlin, Tuomas A. Peltonen, Mapping the State of Financial Stability. Journal of International Financial Markets, Institutions and Money 26, 46–76, 2013.
• Peter Sarlin, Zhiyuan Yao, Clustering of the Self-Organizing Time Map. Neurocomputing 121, 317–327, 2013.
• Peter Sarlin, Visual Tracking of the Millennium Development Goals with a Fuzzified Self-Organizing Neural Network. International Journal of Machine Learning and Cybernetics 3(3), 233–245, 2012.
• Peter Sarlin, Zhiyuan Yao, Tomas Eklund, A Framework for State Transitions on the Self-Organizing Map: Some Temporal Financial Applications. Intelligent Systems in Accounting, Finance and Management 19(1), 189–203, 2012.
• Peter Sarlin, Clustering the Changing Nature of Currency Crises in Emerging Markets: An Exploration with Self-Organising Maps. International Journal of Computational Economics and Econometrics 2(1), 24 – 46, 2011.
• Peter Sarlin, Evaluating a Self-Organizing Map for Clustering and Visualizing Optimum Currency Area Criteria. Economics Bulletin 31(2), 1483–1495, 2011.
• Peter Sarlin, Dorina Marghescu, Visual Predictions of Currency Crises using Self-Organizing Maps. Intelligent Systems in Accounting, Finance and Management 18(1), 15–38, 2011.
• Peter Sarlin, Dorina Marghescu, Neuro-Genetic Predictions of Currency Crises. Intelligent Systems in Accounting, Finance and Management 18(4), 145–160, 2011.
• Dorina Marghescu, Peter Sarlin, Shuhua Liu, Early Warning Analysis for Currency Crises in Emerging Markets: A Revisit with Fuzzy Clustering. Intelligent Systems in Accounting, Finance and Management 17(3-4), 143–165, 2010.

Articles in proceedings (24):

• József Mezei, Peter Sarlin, On a Generalized Objective Function for Possibilistic Fuzzy Clustering. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems, 610, 711–722, Springer, 2016.
• Samuel Rönnqvist, Peter Sarlin, Detect & Describe: Deep Learning of Bank Stress in the News. In: 2015 IEEE Symposium Series on Computational Intelligence, 890–897, IEEE, 2015.
• Samuel Rönnqvist, Peter Sarlin, Identifying Bank Stress by Deep Learning of News. In: Barbara Hammer, Thomas Martinetz, Thomas Villmann (Eds.), Machine Learning Reports 02/2015, Machine Learning Reports 3, 112–113, Bielefeld University, 2015.
• Samuel Rönnqvist, Peter Sarlin, Alluvial SOTM: Visualizing Transitions and Changes in Cluster Structure of the Self-Organizing Time Map. In: Robert S Laramee, Min Chen (Eds.), The Eurographics Conference on Visualization (EuroVis), Eurographics, 2014.
• Samuel Rönnqvist, Peter Sarlin, From Text to Bank Interrelation Maps. In: Antoaneta Serguieva, Dietmar Maringer, Vasile Palade, Rui Jorge Almeida (Eds.), 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 48–54, IEEE, 2014.
• Samuel Rönnqvist, Xiaolu Wang, Peter Sarlin, Interactive Visual Exploration of Topic Models Using Graphs. In: Robert S Laramee, Min Chen (Eds.), The Eurographics Conference on Visualization (EuroVis), Eurographics, 2014.
• Annika Holmbom, Samuel Rönnqvist, Peter Sarlin, Tomas Eklund, Barbro Back, Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map Over Greenness. In: Wei Ding, Takashi Washio (Eds.), IEEE 13th International Conference on Data Mining Workshops, IEEE International Conference on Data Mining, 1–7, IEEE, 2013.
• Annika Holmbom, Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Barbro Back, Visual Data-Driven Profiling of Green Consumers. In: Proceedings of the International Conference on Information Visualization, 291–298, IEEE, 2013.
• Peter Sarlin, A Self-Organizing Time Map for Time-to-Event Data. In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 230–237, IEEE, 2013.
• Peter Sarlin, Replacing the time dimension: A Self-Organizing Time Map over any variable. In: Barbara Hammer, Thomas Martinetz, Thomas Villman (Eds.), Proceedings of the Workshop on New Challenges in Neural Computation (NC^2), 17–24, Machine Learning Reports, 2013.
• Peter Sarlin, A Weighted SOM for Classifying Data with Instance-Varying Importance. In: Jilles Vreeken, Charles Ling (Eds.), Proceedings of the IEEE 12th International Conference on Data Mining Workshops (ICDMW), 187–193 , IEEE, 2013.
• Peter Sarlin, Samuel Rönnqvist, Cluster Coloring of the Self-Organizing Map: An Information Visualization Perspective. In: Proceedings of the International Conference on Information Visualization, 532–538, IEEE, 2013.
• Peter Sarlin, Decomposing the Global Financial Crisis: A Self-Organizing Time Map. In: Manuel Graña, Carlos Toro, Jorge Posada, Robert Howlett, Lakhmi Jain (Eds.), Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'12), 798–806, IOS Press, 2012.
• Peter Sarlin, Exploiting the Self-Organizing Financial Stability Map. In: Manuel Graña, Carlos Toro, Jorge Posada, Robert Howlett, Lakhmi Jain (Eds.), Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'12), 248–257, IOS Press, 2012.
• Peter Sarlin, On Biologically Inspired Predictions of the Global Financial Crisis. In: Klaus G. Troitzsch, Michael Möhring, Ulf Lotzmann (Eds.), Proceedings of the 26th European Conference on Modelling and Simulation, 253–259, European Council for Modelling and Simulation, 2012.
• Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Probabilistic Modeling of State Transitions on the Self-Organizing Map: Some Temporal Financial Applications. In: Ralph H. Jr. Sprague (Ed.), Proceedings of the 45th Hawaii International Conference on System Sciences, 1128–1137, IEEE Press, 2012.
• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Combining Visual Customer Segmentation and Response Modelling. In: ECIS 2012 Proceedings, 1–10, AIS Electronic Library (AISeL), 2012.
• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Temporal Customer Segmentation Using the Self-Organizing Time Map. In: Ebad Banissi, Stefan Bertschi, Camilla Forsell, Jimmy Johansson, Sarah Kenderdine, Francis T. Marchese, Muhammad Sarfraz, Liz Stuart, Anna Ursyn, Theodor G. Wyeld, Hanane Azzag, Mustapha Lebba, G. Venturini (Eds.), Proceedings of the 2012 16th International Conference on Information Visualisation (IV), 234–240, IEEE Press, 2012.
• Peter Sarlin, Visual Tracking of the Millennium Development Goals with a Self-Organizing Neural Network. In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM'11), 357–364, IEEE Press, 2011.
• Peter Sarlin, Sovereign Debt Monitor: A Visual Self-Organizing Maps Approach. In: Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (CIFEr'11), 67–74, IEEE Press, 2011.
• Peter Sarlin, Tomas Eklund, Financial Performance Analysis of European Banks Using a Fuzzified Self-Organizing Map. In: Andreas König, Andreas Dengel, Knut Hinkelmann, Koichi Kise, Robert Howlett, Lakhmi Jain (Eds.), Proceedings of the 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'11), 186–195, Springer, 2011.
• Peter Sarlin, Tomas Eklund, Fuzzy Clustering of the Self-Organizing Map: Some Applications on Financial Time Series. In: Jorma Laaksonen, Timo Honkela (Eds.), Proceedings of the 8th International Workshop on Self-Organizing Maps (wSOM'11), 40–50, Springer, 2011.
• Peter Sarlin, Visual Monitoring of Financial Stability with a Self-Organizing Neural Network. In: Proceedings of the 10th IEEE International Conference on Intelligent Systems Design and Applications, 248--253, 2010.
• Peter Sarlin, Dorina Marghescu, Visual Predictions of Currency Crises Using Self-Organizing Maps. In: Proceedings of the IEEE International Conference on Data Mining Workshops (ICDMW'10), 14-17 December, Sydney, Australia , 2010.

Chapters in edited books (3):

• Peter Sarlin, Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks. In: Yukio Ohsawa, Akinori Abe (Eds.), Advances in Chance Discovery, 49–61, Springer, 2012.
• Peter Sarlin, Visualizing Indicators of Debt Crises in a Lower Dimension: A Self-Organizing Maps Approach. In: Joanna Leng, Wes Sharrock (Eds.), Handbook of Research on Computational Science and Engineering: Theory and Practice, 414–431, IGI Global, 2011.
• Shuhua Liu, Tomas Eklund, Mikael Collan, Peter Sarlin, A Visualization and Clustering Approach to Analyzing the Early Warning Signals of Currency Crises. In: Jue Wang, Shouyang Wang (Eds.), Business Intelligence in Economic Forecasting: Technologies and Techniques, 65–81, IGI Global, 2010.

Ph.D. thesis (1):

• Peter Sarlin, Mapping Financial Stability. TUCS Dissertations 159. Åbo Akademi University, 2013.

Technical reports (12):

• Zhiyuan Yao, Peter Sarlin, Tomas Eklund, Barbro Back, Visualizing Dynamics in Customer Behavior with the Self-Organizing Time Map. TUCS Technical Reports 1085, TUCS, 2013.
• Peter Sarlin, Data and Dimension Reduction for Visual Financial Performance Analysis. TUCS Technical Reports 1049, TUCS, 2012.