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Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts

Data mining and knowledge discovery, 2016, Vol.30 (1), p.47-98

2016

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The climatological renewable energy deviation index (credi)

Environmental research letters, 2024-03, Vol.19 (3), p.34021

2024

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Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

1, 2020

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Learning from incomplete data in Bayesian networks with qualitative influences

International journal of approximate reasoning, 2016-02, Vol.69, p.18-34

2016

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Data-driven fraud detection in international shipping

Expert systems with applications, 2018-06, Vol.99, p.193-202

2018

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PurifyR: An R Package for Highly Automated, Reproducible Variable Extraction and Standardization

Network and systems medicine, 2020-01, Vol.3 (1), p.1-7

2020

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Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening

SLAS discovery, 2020-07, Vol.25 (6), p.655-664

2020

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Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, the Netherlands, September 17-19, 2014. Proceedings

2014, 2014

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Uncovering Document Fraud in Maritime Freight Transport Based on Probabilistic Classification

Computer Information Systems and Industrial Management, p.282-293

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Causal Discovery from Databases with Discrete and Continuous Variables

Probabilistic Graphical Models, p.442-457

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Pulse: Mining Customer Opinions from Free Text

Advances in Intelligent Data Analysis VI, 2005, p.121-132

2005

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Discrete Bayesian Network Interpretation of the Cox’s Proportional Hazards Model

Probabilistic Graphical Models, p.238-253

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Learning Gated Bayesian Networks for Algorithmic Trading

Probabilistic Graphical Models, 2014, p.49-64

2014

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Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present

Probabilistic Graphical Models, p.471-486

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On Expressiveness of the AMP Chain Graph Interpretation

Probabilistic Graphical Models, 2014, p.458-470

2014

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From Information to Evidence in a Bayesian Network

Probabilistic Graphical Models, p.33-48

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Efficient algorithms for finding optimal binary features in numeric and nominal labeled data

Knowledge and information systems, 2015-02, Vol.42 (2), p.465-492

2015

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Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers

Probabilistic Graphical Models, p.222-237

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Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams

Probabilistic Graphical Models, p.318-333

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Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

Berthold, Michael::0000-0001-9095-3283::300, , Feelders, Ad::0000-0003-4525-1949::300, , Krempl, Georg:: (editor)

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Explaining Model Behavior with Global Causal Analysis

Explainable Artificial Intelligence, p.299-323

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Conditional Forecasting of Water Level Time Series with RNNs

Advanced Analytics and Learning on Temporal Data, p.55-71

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Learning Bayesian network parameters under order constraints

International journal of approximate reasoning, 2006-05, Vol.42 (1), p.37-53

2006

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Trading off Speed and Accuracy in Multilabel Classification

Probabilistic Graphical Models, p.145-159

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A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs

Probabilistic Graphical Models, p.302-317

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Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts

The climatological renewable energy deviation index (credi)

Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

Learning from incomplete data in Bayesian networks with qualitative influences

Data-driven fraud detection in international shipping

PurifyR: An R Package for Highly Automated, Reproducible Variable Extraction and Standardization

Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening

Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, the Netherlands, September 17-19, 2014. Proceedings

Uncovering Document Fraud in Maritime Freight Transport Based on Probabilistic Classification

Causal Discovery from Databases with Discrete and Continuous Variables

Pulse: Mining Customer Opinions from Free Text

Discrete Bayesian Network Interpretation of the Cox’s Proportional Hazards Model

Learning Gated Bayesian Networks for Algorithmic Trading

Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present

On Expressiveness of the AMP Chain Graph Interpretation

From Information to Evidence in a Bayesian Network

Efficient algorithms for finding optimal binary features in numeric and nominal labeled data

Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers

Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams

Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings

Explaining Model Behavior with Global Causal Analysis

Conditional Forecasting of Water Level Time Series with RNNs

Learning Bayesian network parameters under order constraints

Trading off Speed and Accuracy in Multilabel Classification

A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs

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