Visual monitoring of financial stability with a self-organizing neural network. - Peter Sarlin (ISDA, 2010)

Early-warning analysis for currency crises in emerging markets: A revisit with fuzzy clustering. - Dorina Marghescu; Peter Sarlin; Shuhua Liu (Intell. Syst. Account. Finance Manag., 2010)

Visual tracking of the Millennium Development Goals with a Self-organizing neural network. - Peter Sarlin (CIDM, 2011)

Sovereign debt monitor: A visual Self-organizing maps approach. - Peter Sarlin (CIFEr, 2011)

Fuzzy Clustering of the Self-Organizing Map: Some Applications on Financial Time Series. - Peter Sarlin; Tomas Eklund (WSOM, 2011)

Visual predictions of currency crises using self-organizing maps. - Peter Sarlin; Dorina Marghescu (Intell. Syst. Account. Finance Manag., 2011)

Neuro-Genetic Predictions of Currency crises. - Peter Sarlin; Dorina Marghescu (Intell. Syst. Account. Finance Manag., 2011)

Probabilistic Modeling of State Transitions on the Self-Organizing Map: Some Temporal Financial Applications. - Peter Sarlin; Zhiyuan Yao; Tomas Eklund (HICSS, 2012)

Temporal Customer Segmentation Using the Self-organizing Time Map. - Zhiyuan Yao; Peter Sarlin; Tomas Eklund; Barbro Back (IV, 2012)

A Framework for State Transitions on the Self-Organizing Map: some Temporal Financial Applications. - Peter Sarlin; Zhiyuan Yao; Tomas Eklund (Intell. Syst. Account. Finance Manag., 2012)

Visual tracking of the millennium development goals with a fuzzified self-organizing neural network. - Peter Sarlin (Int. J. Mach. Learn. Cybern., 2012)

A Self-Organizing Time Map for time-to-event data. - Peter Sarlin (CIDM, 2013)

Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness. - Annika H. Holmbom; Samuel Rönnqvist; Peter Sarlin; Tomas Eklund; Barbro Back (ICDM Workshops, 2013)

Visual Data-Driven Profiling of Green Consumers. - Annika H. Holmbom; Peter Sarlin; Zhiyuan Yao; Tomas Eklund; Barbro Back (IV, 2013)

Cluster Coloring of the Self-Organizing Map: An Information Visualization Perspective. - Peter Sarlin; Samuel Rönnqvist (IV, 2013)

Exploiting the self-organizing financial stability map. - Peter Sarlin (Eng. Appl. Artif. Intell., 2013)

Self-organizing time map: An abstraction of temporal multivariate patterns. - Peter Sarlin (Neurocomputing, 2013)

Clustering of the Self-Organizing Time Map. - Peter Sarlin; Zhiyuan Yao (Neurocomputing, 2013)

Financial performance analysis of European banks using a fuzzified Self-Organizing Map. - Peter Sarlin; Tomas Eklund (Int. J. Knowl. Based Intell. Eng. Syst., 2013)

Decomposing the global financial crisis: A Self-Organizing Time Map. - Peter Sarlin (Pattern Recognit. Lett., 2013)

Mapping Financial Stability - Peter Sarlin (Springer, 2014)

From text to bank interrelation maps. - Samuel Rönnqvist; Peter Sarlin (CIFEr, 2014)

From Bits to Atoms: 3D Printing in the Context of Supply Chain Strategies. - Henrik J. Nyman; Peter Sarlin (HICSS, 2014)

Aggregation operators for the measurement of systemic risk. - József Mezei; Peter Sarlin (CoRR, 2014)

Interactive Visual Exploration of Topic Models using Graphs. - Samuel Rönnqvist; Xiaolu Wang; Peter Sarlin (CoRR, 2014)

A weighted SOM for classifying data with instance-varying importance. - Peter Sarlin (Int. J. Mach. Learn. Cybern., 2014)

On biologically inspired predictions of the global financial crisis. - Peter Sarlin (Neural Comput. Appl., 2014)

Combining visual customer segmentation and response modeling. - Zhiyuan Yao; Peter Sarlin; Tomas Eklund; Barbro Back (Neural Comput. Appl., 2014)

Crisis Modeler: A Tool for Exploring Crisis Predictions. - Markus Holopainen; Peter Sarlin (SSCI, 2015)

Detect & Describe: Deep Learning of Bank Stress in the News. - Samuel Rönnqvist; Peter Sarlin (SSCI, 2015)

Toward robust early-warning models: A horse race, ensembles and model uncertainty. - Markus Holopainen; Peter Sarlin (CoRR, 2015)

Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map. - Stephanie R. Clark; Peter Sarlin; Ashish Sharma 002; Scott A. Sisson (Ecol. Informatics, 2015)

Data and dimension reduction for visual financial performance analysis. - Peter Sarlin (Inf. Vis., 2015)

Automated and weighted self-organizing time maps. - Peter Sarlin (Knowl. Inf. Syst., 2015)

On interval-valued possibilistic clustering with a generalized objective function. - József Mezei; Peter Sarlin (FUZZ-IEEE, 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. - Patrick Kouontchou; Amaury Lendasse; Yoan Miché; Alejandro Modesto; Peter Sarlin; Bertrand Maillet (HICSS, 2016)

Introduction to Systemic Risk Analytics Minitrack. - Peter Sarlin; Tuomas A. Peltonen (HICSS, 2016)

On a Generalized Objective Function for Possibilistic Fuzzy Clustering. - József Mezei; Peter Sarlin (IPMU (1), 2016)

From news to company networks: Co-occurrence, sentiment, and information centrality. - Thomas Forss; Peter Sarlin (SSCI, 2016)

Aggregating expert knowledge for the measurement of systemic risk. - József Mezei; Peter Sarlin (Decis. Support Syst., 2016)

Computational Tools for Systemic Risk Identification and Assessment. - Peter Sarlin (Intell. Syst. Account. Finance Manag., 2016)

Visual Macroprudential Surveillance of Banks. - Peter Sarlin (Intell. Syst. Account. Finance Manag., 2016)

Possibilistic Clustering for Crisis Prediction: Systemic Risk States and Membership Degrees. - József Mezei; Peter Sarlin (HICSS, 2017)

Introduction to Machine Learning and Network Analytics in Finance Minitrack. - Peter Sarlin; József Mezei (HICSS, 2017)

Deep learning bank distress from news and numerical financial data. - Paola Cerchiello; Giancarlo Nicola; Samuel Rönnqvist; Peter Sarlin (CoRR, 2017)

Bank distress in the news: Describing events through deep learning. - Samuel Rönnqvist; Peter Sarlin (Neurocomputing, 2017)

Machine learning in finance - Guest editorial. - Peter Sarlin; Kaj-Mikael Björk (Neurocomputing, 2017)

Riskrank to Predict Systemic Banking Crises With Common Exposures. - Peter Sarlin; Paolo Giudici; Alessandro Spelta; Kaj-Mikael Björk (HICSS, 2018)

Introduction to the Minitrack on Machine Learning and Network Analytics in Finance. - Peter Sarlin; József Mezei (HICSS, 2018)

Introduction to the Minitrack on Machine Learning and Predictive Analytics in Accounting, Finance, and Management. - Peter Sarlin; József Mezei (HICSS, 2022)

Assessing Banks' Distress Using News and Regular Financial Data. - Paola Cerchiello; Giancarlo Nicola; Samuel Rönnqvist; Peter Sarlin (Frontiers Artif. Intell., 2022)

Poro 34B and the Blessing of Multilinguality. - Risto Luukkonen; Jonathan Burdge; Elaine Zosa; Aarne Talman; Ville Komulainen; Väinö Hatanpää; Peter Sarlin; Sampo Pyysalo (CoRR, 2024)