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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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Monographs (1):

• Vergil Voineagu, Alexandru Isaic-Maniu, Constantin Mitrut, Tudorel Andrei, Adrian Costea, Statistics. CISON, 2002.

Articles in journals (47):

• 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.
• 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.
• Tomas Eklund, Petri Paajanen, Jussi Kantola, Hannu Vanharanta, Knowledge Creation and Learning in Organizations – Measuring Proactive Vision Using the Co-Evolute Methodology. International Journal of Strategic Change Management 4(2), 190–201, 2012.
• 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.
• Annika H. Holmbom, Tomas Eklund, Barbro Back, Customer Portfolio Analysis Using the SOM. International Journal of Business Information Systems 8(4), 396–412, 2011.
• Annukka Jokipii, Aapo Länsiluoto, Tomas Eklund, A Clustering and Visualization Approach to the Analysis of Internal Control Structures. International Journal of Accounting, Auditing and Performance Evaluation 7(3), 151–175, 2011.
• 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.
• Yoon Chang, Tomas Eklund, Jussi Kantola, Hannu Vanharanta, International Creative Tension Study of University Students in South Korea and Finland. Human Factors and Ergonomics in Manufacturing and Service Industries 19(6), 528–543, 2009.
• Adrian Costea, Tomas Eklund, Jonas Karlsson, V. Voineagu, Financial Performance Analysis of Scandinavian Telecommunications Companies using Statistical and Neural Networks Techniques. Economic Computation and Economic Cybernetics Studies and Research 4, 87–104, 2009.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Evaluating a SOM-Based Financial Benchmarking Tool. Journal of Emerging Technologies in Accounting 5(1), 109–127, 2008.
• Aapo Länsiluoto, Tomas Eklund, On the Suitability of the Self‐Organizing Map for Analysis of the Macro and Firm Level Competitive Environment: An Empirical Evaluation. Benchmarking: An International Journal 15(4), 402–419, 2008.
• Aapo Länsiluoto, Tomas Eklund, Comparison of the Suitability of the Self-Organizing Map for Analyzing the Macro and Firm Environment -- An Empirical Field Survey. Benchmarking 15(4), 402–419, 2008.
• Mikael Collan, Tomas Eklund, Barbro Back, Using the Self-Organizing Map to Visualize and Explore Socio-Economic Development. EBS Review 22(1), 6-15, 2007.
• Marketta Hiissa, Tapio Pahikkala, Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski, Towards Automated Classification of Intensive Care Nursing Narratives. International Journal of Medical Informatics 76S3, S362–S368, 2007.
• Eija Koskivaara, Barbro Back, Artificial Neural Network Assistant (ANNA) for Continuous Auditing and Monitoring of Financial Data. Journal of Emerging Technologies in Accounting 4(1), 29–45, 2007.
• Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Tapio Salakoski, Sanna Salanterä, Applying Language Technology to Nursing Documents: Pros and Cons with a Focus on Ethics. International Journal of Medical Informatics 76S2, S293–S301, 2007.
• Tomas Eklund, Financial Benchmarking Using the Self-Organizing Map -- A Tool for Visual Benchmarking. Ekonomiska Samfundets Tidskrift 58(3), 137–147, 2006.
• Eija Koskivaara, Integrating Analytical Procedures into the Continuous Audit Environment. JISTEM - Journal of Information Systems and Technology Management 3(3), 331-346, 2006.
• Camilla Magnusson, Antti Arppe, Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, The Language of Quarterly Reports as an Indicator of Change in the Company'S Financial Status. Information and Management 42(4), 561–574, 2005.
• Antonina Kloptchenko, Tomas Eklund, Barbro Back, Jonas Karlsson, Hannu Vanharanta, Ari Visa, Combining Data and Text Mining Techniques for Analyzing Financial Reports. Intelligent Systems in Accounting, Finance and Management 12(1), 29–41, 2004.
• Eija Koskivaara, Artificial Neural Networks in Analytical Review Procedures. Managerial Auditing Journal 19(1), 191–223, 2004.
• Eija Koskivaara, Hermoverkkojen soveltuvuus analyyttisen tilintarkastuksen tukemiseen. Tilintarkastus - Revison (5), 38-44, 2004.
• Eija Koskivaara, Artificial Neural Networks in Auditing: State of the Art. The ICFAI Journal of Audit Practice 1(4), 12-33, 2004.
• Aapo Länsiluoto, Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Industry Specific Cycles and Companies’ Financial Performance – Comparison with Self-Organizing Maps. Benchmarking 11(4), 267–286, 2004.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Using the Self-Organizing Map as a Visualization Tool in Financial Benchmarking. Information Visualization 3(2), 171–181, 2003.
• Adekunle Okunoye, Organizational Information Technology Infrastructure in Developing Countries : A Comparative Analysis of National vs. International Research Organizations in Two Sub-Saharan African Countries. Journal of Information Technology Cases and Applications 5(2), 2003.
• Adekunle Okunoye, Large-Scale Sustainable Information Systems Development in a Developing Country: The making of an Islamic Banking Package. Annals of Cases on Information Technology V, 168–183, 2003.
• Adekunle Okunoye, Helena Karsten, Global Access to Knowledge: Findings from Academic Organisations in sub-Saharan Africa. Information Technology and People 16(3), 2003.
• Adekunle Okunoye, Helena Karsten, Where the Global Needs the Local: Variation in Enablers in the Knowledge Management Process. Journal of Global Information Technology Management 5(3), 12–31, 2002.
• Tomas Eklund, Barbro Back, Hannu Vanharanta, Ari Visa, Benchmarking Global Pulp and Paper Companies Using Self-Organizing Maps. Paperi Ja PUU-Paper and Timber 83(4), 304–316, 2001.
• Barbro Back, Kaisa Sere, Hannu Vanharanta, Managing Complexity in Large Data Bases Using Self-Organizing Maps. Information and Organization 8(4), 191–210, 1998.
• Barbro Back, Teija Laitinen, Kaisa Sere, Neural Network and Genetic Algorithm for Bankruptcy Prediction. Expert Systems with Applications 11(4), 407–413, 1996.
• Back Barbro, Assisting Accountants in Developing Financial Statements. Expert Systems with Applications 5, 377–387, 1992.

Articles in proceedings (105):

• Samuel Rönnqvist, Niko Schenk, Christian Chiarcos, A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations. In: Regina Barzilay, Min-Yen Kan (Eds.), Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2, 256–262, Association for Computational Linguistics, 2017.
• Niko Schenk, Christian Chiarcos, Kathrin Donandt, Samuel Rönnqvist, Evgeny A. Stepanov, Giuseppe Riccardi, Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling. In: Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, Attapol Rutherford, Bonnie Webber, Chuan Wang, Hongmin Wang (Eds.), Proceedings of the CoNLL-16 shared task, 41–49, Association for Computational Linguistics, 2016.