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

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

Riskrank to Predict Systemic Banking Crises With Common Exposures.

Introduction to Machine Learning and Network Analytics in Finance Minitrack.

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

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

On a Generalized Objective Function for Possibilistic Fuzzy Clustering.

Introduction to Systemic Risk Analytics Minitrack.

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

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

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

Crisis Modeler: A Tool for Exploring Crisis Predictions.

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

From text to bank interrelation maps.

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

Visual Data-Driven Profiling of Green Consumers.

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

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

Temporal Customer Segmentation Using the Self-organizing Time Map.

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

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

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

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

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