Peter Sarlin

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Introduction to the Minitrack on Machine Learning and Network Analytics in Finance.

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[DOI]

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Riskrank to Predict Systemic Banking Crises With Common Exposures.

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Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017

Machine learning in finance - Guest editorial.

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[DOI]

Kaj-Mikael Björk

Neurocomputing, 2017

Bank distress in the news: Describing events through deep learning.

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Neurocomputing, 2017

Deep learning bank distress from news and numerical financial data.

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CoRR, 2017

Introduction to Machine Learning and Network Analytics in Finance Minitrack.

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[DOI]

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Possibilistic Clustering for Crisis Prediction: Systemic Risk States and Membership Degrees.

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Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016

Visual Macroprudential Surveillance of Banks.

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Intell. Syst. Account. Finance Manag., 2016

Computational Tools for Systemic Risk Identification and Assessment.

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Intell. Syst. Account. Finance Manag., 2016

Aggregating expert knowledge for the measurement of systemic risk.

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[DOI]

Decis. Support Syst., 2016

From news to company networks: Co-occurrence, sentiment, and information centrality.

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[DOI]

Thomas Forss

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On a Generalized Objective Function for Possibilistic Fuzzy Clustering.

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[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Introduction to Systemic Risk Analytics Minitrack.

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[DOI]

Tuomas A. Peltonen

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

A R-SOM Analysis of the Link between Financial Market Conditions and a Systemic Risk Index Based on ICA-Factors of Systemic Risk Measures.

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Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

On interval-valued possibilistic clustering with a generalized objective function.

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Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Automated and weighted self-organizing time maps.

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Knowl. Inf. Syst., 2015

Data and dimension reduction for visual financial performance analysis.

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Inf. Vis., 2015

Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map.

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Ecol. Informatics, 2015

Toward robust early-warning models: A horse race, ensembles and model uncertainty.

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[DOI]

Markus Holopainen

CoRR, 2015

Detect & Describe: Deep Learning of Bank Stress in the News.

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[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Crisis Modeler: A Tool for Exploring Crisis Predictions.

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[DOI]

Markus Holopainen

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014

Interactive Visual Exploration of Topic Models using Graphs.

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[DOI]

Xiaolu Wang

CoRR, 2014

Aggregation operators for the measurement of systemic risk.

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[DOI]

CoRR, 2014

From Bits to Atoms: 3D Printing in the Context of Supply Chain Strategies.

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[DOI]

Henrik J. Nyman

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

From text to bank interrelation maps.

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[DOI]

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Mapping Financial Stability

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Computational Risk Management, Springer, ISBN: 978-3-642-54956-4, 2014

2013

Clustering of the Self-Organizing Time Map.

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Zhiyuan Yao

Neurocomputing, 2013

Self-organizing time map: An abstraction of temporal multivariate patterns.

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Neurocomputing, 2013

Cluster Coloring of the Self-Organizing Map: An Information Visualization Perspective.

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Proceedings of the 17th International Conference on Information Visualisation, 2013

Visual Data-Driven Profiling of Green Consumers.

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[DOI]

Proceedings of the 17th International Conference on Information Visualisation, 2013

Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness.

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Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

A Self-Organizing Time Map for time-to-event data.

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Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Visual tracking of the millennium development goals with a fuzzified self-organizing neural network.

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[DOI]

Int. J. Mach. Learn. Cybern., 2012

A Framework for State Transitions on the Self-Organizing Map: some Temporal Financial Applications.

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[DOI]

Zhiyuan Yao

Intell. Syst. Account. Finance Manag., 2012

Decomposing the Global Financial Crisis: A Self-Organizing Time Map.

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[DOI]

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Exploiting the Self-Organizing Financial Stability Map.

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Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Temporal Customer Segmentation Using the Self-organizing Time Map.

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Proceedings of the 16th International Conference on Information Visualisation, 2012

A Weighted SOM for Classifying Data with Instance-Varying Importance.

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Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Probabilistic Modeling of State Transitions on the Self-Organizing Map: Some Temporal Financial Applications.

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[DOI]

Zhiyuan Yao

Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

On Biologically Inspired Predictions Of The Global Financial Crisis.

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[DOI]

Proceedings of the 26th European Conference on Modelling and Simulation, 2012

Combining Visual Customer Segmentation and Response Modeling.

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Proceedings of the 20th European Conference on Information Systems, 2012

2011

Neuro-Genetic Predictions of Currency crises.

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Dorina Marghescu

Intell. Syst. Account. Finance Manag., 2011

Fuzzy Clustering of the Self-Organizing Map: Some Applications on Financial Time Series.

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[DOI]

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Financial Performance Analysis of European Banks Using a Fuzzified Self-Organizing Map.

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[DOI]

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Sovereign debt monitor: A visual Self-organizing maps approach.

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Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2011

Visual tracking of the Millennium Development Goals with a Self-organizing neural network.

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Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Early-warning analysis for currency crises in emerging markets: A revisit with fuzzy clustering.

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[DOI]

Dorina Marghescu

Shuhua Liu

Intell. Syst. Account. Finance Manag., 2010

Visual monitoring of financial stability with a self-organizing neural network.

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[DOI]

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Visual Predictions of Currency Crises Using Self-Organizing Maps.

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