Peter Sarlin

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

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

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

Peter Sarlin, Samuel Rönnqvist, Samuel Rönnqvist, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

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

Markus Holopainen, Peter Sarlin, M. Holopainen, 2015, SSRN Electronic Journal.

Temporal Customer Segmentation Using the Self-organizing Time Map

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2012, 2012 16th International Conference on Information Visualisation.

Visual Data-Driven Profiling of Green Consumers

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2013, 2013 17th International Conference on Information Visualisation.

Introduction to Systemic Risk Analytics Minitrack

Peter Sarlin, Tuomas A. Peltonen, 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

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

Shuhua Liu, Peter Sarlin, Dorina Marghescu, 2010, Intell. Syst. Account. Finance Manag..

Chance Discovery with Self-Organizing Maps: Discovering Imbalances in Financial Networks

Peter Sarlin, 2013 .

Bank distress in the news: Describing events through deep learning

Peter Sarlin, Samuel Rönnqvist, 2017, Neurocomputing.

Deep learning bank distress from news and numerical financial data pdf

Paola Cerchiello, Peter Sarlin, Samuel Rönnqvist, 2017, ArXiv.

On interval-valued possibilistic clustering with a generalized objective function

József Mezei, Peter Sarlin, J. Mezei, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Evaluating a Self-Organizing Map for Clustering and Visualizing Optimum Currency Area Criteria

Peter Sarlin, Peter Sarlin, 2011 .

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

Peter Sarlin, Samuel Rönnqvist, 2013, 2013 17th International Conference on Information Visualisation.

Exploiting the self-organizing financial stability map

Peter Sarlin, 2013, Eng. Appl. Artif. Intell..

Visual Predictions of Currency Crises Using Self-Organizing Maps

Peter Sarlin, Dorina Marghescu, Dorina Marghescu, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Financial performance analysis of European banks using a fuzzified Self-Organizing Map

Tomas Eklund, Peter Sarlin, T. Eklund, 2011, Int. J. Knowl. Based Intell. Eng. Syst..

Aggregation operators for the measurement of systemic risk pdf

József Mezei, Peter Sarlin, J. Mezei, 2014, ArXiv.

Computational Tools for Systemic Risk Identification and Assessment

Peter Sarlin, 2016, Intell. Syst. Account. Finance Manag..

Deep Learning for Assessing Banks’ Distress from News and Numerical Financial Data

Paola Cerchiello, Peter Sarlin, Samuel Rönnqvist, 2018 .

Automated and weighted self-organizing time maps

Peter Sarlin, 2014, Knowledge and Information Systems.

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

Peter Sarlin, Thomas Forss, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Mapping Financial Stability

Peter Sarlin, Peter Sarlin, 2014, Computational Risk Management.

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

Peter Sarlin, Peter Sarlin, 2012, Neurocomputing.

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

Peter Sarlin, Samuel Rönnqvist, Samuel Rönnqvist, 2016, Neurocomputing.

Neuro-Genetic Predictions of Currency crises

Peter Sarlin, Dorina Marghescu, 2011, Intell. Syst. Account. Finance Manag..

Riskrank to Predict Systemic Banking Crises With Common Exposures

Paolo Giudici, Kaj-Mikael Björk, Peter Sarlin, 2018, HICSS.

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

Tomas Eklund, Peter Sarlin, 2011, WSOM.

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

Peter Sarlin, Peter Sarlin, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

On Biologically Inspired Predictions Of The Global Financial Crisis

Peter Sarlin, 2012, ECMS.

A Process View to Evaluate and Understand Preference Elicitation

József Mezei, Shahrokh Nikou, Peter Sarlin, 2015 .

Financial performance analysis of European banks using a fuzzified Self-Organizing Map

Tomas Eklund, Peter Sarlin, 2013, Int. J. Knowl. Based Intell. Eng. Syst..

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

Tomas Eklund, Zhiyuan Yao, Peter Sarlin, 2012, 2012 45th Hawaii International Conference on System Sciences.

Visual Macroprudential Surveillance of Banks

Peter Sarlin, Peter Sarlin, 2016, Intell. Syst. Account. Finance Manag..

The multivariate nature of systemic risk: direct and common exposures

Paolo Giudici, Peter Sarlin, Alessandro Spelta, 2016 .

From text to bank interrelation maps

Peter Sarlin, Samuel Rönnqvist, Samuel Rönnqvist, 2013, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

A Framework for Early-Warning Modeling with an Application to Banks

Peter Sarlin, Jan Hannes Lang, Tuomas A. Peltonen, 2018, SSRN Electronic Journal.

Macroprudential Oversight, Risk Communication and Visualization

Peter Sarlin, Peter Sarlin, 2014, SSRN Electronic Journal.

Interactive Visual Exploration of Topic Models using Graphs pdf

Xiaolu Wang, Peter Sarlin, Samuel Rönnqvist, 2014, ArXiv.

Introduction to Machine Learning and Network Analytics in Finance Minitrack

József Mezei, Peter Sarlin, 2017, HICSS.

Exploiting the Self-Organizing Financial Stability Map

Peter Sarlin, 2012, KES.

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

József Mezei, Peter Sarlin, 2018, HICSS.

Data and dimension reduction for visual financial performance analysis

Peter Sarlin, Peter Sarlin, 2015, Inf. Vis..

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

Peter Sarlin, Peter Sarlin, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Clustering of the Self-Organizing Time Map

Zhiyuan Yao, Peter Sarlin, Zhiyuan Yao, 2013, Neurocomputing.

On a Generalized Objective Function for Possibilistic Fuzzy Clustering

József Mezei, Peter Sarlin, J. Mezei, 2016, IPMU.

Visual Predictions of Currency Crises Using Self-Organizing Maps

Peter Sarlin, Dorina Marghescu, 2010, ICDM Workshops.

Decomposing the global financial crisis: A Self-Organizing Time Map

Peter Sarlin, Peter Sarlin, 2013, Pattern Recognit. Lett..

Data-Dimension Reductions: A Comparison

Peter Sarlin, Peter Sarlin, Peter Sarlin, 2014 .

Signaling Crises: How to Get Good Out-of-Sample Performance Out of the Early Warning System

Peter Sarlin, Gregor von Schweinitz, 2015 .

Machine learning in finance - Guest editorial

Kaj-Mikael Björk, Peter Sarlin, 2017, Neurocomputing.

Data and Dimension Reduction

Peter Sarlin, Peter Sarlin, Peter Sarlin, 2014 .

On biologically inspired predictions of the global financial crisis

Peter Sarlin, 2012, Neural Computing and Applications.

Self-Organizing Financial Stability Map

Peter Sarlin, Peter Sarlin, Peter Sarlin, 2014 .

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

Yoan Miché, Bertrand Maillet, Amaury Lendasse, 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

Sovereign debt monitor: A visual Self-organizing maps approach

Peter Sarlin, Peter Sarlin, 2011, 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr).

A weighted SOM for classifying data with instance-varying importance

Peter Sarlin, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

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

Tomas Eklund, Zhiyuan Yao, Peter Sarlin, 2012, Intell. Syst. Account. Finance Manag..

Modeling public collaborative processes: The case of safeguarding financial stability

Henrik J. Nyman, Peter Sarlin, Henrik Nyman, 2013 .

Exploiting the SOFSM

Peter Sarlin, Peter Sarlin, Peter Sarlin, 2014 .

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

Henrik J. Nyman, Peter Sarlin, Peter Sarlin, 2013, 2014 47th Hawaii International Conference on System Sciences.

Decomposing Financial Crises with SOTMs

Peter Sarlin, Peter Sarlin, 2014 .

Crisis Modeler: A Tool for Exploring Crisis Predictions

Markus Holopainen, Peter Sarlin, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

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

Peter Sarlin, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Extending the SOM

Peter Sarlin, Peter Sarlin, Peter Sarlin, 2014 .

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

Barbro Back, Tomas Eklund, Annika H. Holmbom, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Introduction to the Minitrack on Machine Learning and Predictive Analytics in Accounting, Finance and Management

Peter Sarlin, József Mezei, 2020, HICSS.

On policymakers’ loss functions and the evaluation of early warning systems

Peter Sarlin, Peter Sarlin, 2013 .

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

József Mezei, Peter Sarlin, 2017, HICSS.

The interconnected nature of financial systems: Direct and common exposures

Paolo Giudici, Peter Sarlin, Alessandro Spelta, 2017 .

Aggregating expert knowledge for the measurement of systemic risk

József Mezei, Peter Sarlin, J. Mezei, 2016, Decis. Support Syst..

A Weighted SOM for Classifying Data with Instance-Varying Importance

Peter Sarlin, 2012, ICDM Workshops.

Combining visual customer segmentation and response modeling

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2014, Neural Computing and Applications.

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

Scott A. Sisson, Ashish Sharma, Peter Sarlin, 2015, Ecol. Informatics.

Network Linkages to Predict Bank Distress

Peter Sarlin, Andreea Constantin, T. Peltonen, 2015 .

Toward Robust Early-Warning Models: A Horse Race, Ensembles and Model Uncertainty

Markus Holopainen, Peter Sarlin, M. Holopainen, 2015 .

Using artificial intelligence to create value in insurance

Ilkka Lähteenmäki, Peter Sarlin, Mikko Riikkinen, 2018, International Journal of Bank Marketing.

Leading Indicators of Systemic Banking Crises: Finland in a Panel of EU Countries

Peter Sarlin, Patrizio Lainà, Juho Nyholm, 2014, SSRN Electronic Journal.

Interconnectedness of the Banking Sector as a Vulnerability to Crises

Peter Sarlin, T. Peltonen, P. Sarlin, 2015, International Journal of Finance & Economics.

Visual conjoint analysis (VCA): a topology of preferences in multi-attribute decision making

Harry Bouwman, József Mezei, Shahrokh Nikou, 2015 .

Evaluating measures of adverse financial conditions

Peter Sarlin, Dieter Gramlich, Mikhail V. Oet, 2016 .

Predicting Distress in European Banks

Peter Sarlin, T. Peltonen, P. Sarlin, 2013, SSRN Electronic Journal.

Mapping the State of Financial Stability

Peter Sarlin, T. Peltonen, P. Sarlin, 2011, SSRN Electronic Journal.

Clustering the changing nature of currency crises in emerging markets: an exploration with self- organising maps

Peter Sarlin, Peter Sarlin, 2011 .

A Visualization and Clustering Approach to Analyzing the Early Warning Signals of Currency Crises

Mikael Collan, Tomas Eklund, Peter Sarlin, 2010 .

The process of macroprudential oversight in Europe

Henrik J. Nyman, Peter Sarlin, Henrik Nyman, 2013, 1312.7545.