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Research Output 2014 2018

2018

The Knowledge Graph for End-to-End Learning on Heterogeneous Knowledge

Wilcke, W. X., 19 Mar 2018.

Research output: Contribution to ConferencePosterAcademic

Open Access
File
Data structures
Learning systems

The Knowledge Graph for End-to-End Learning on Heterogeneous Knowledge

Wilcke, W. X., Bloem, P. & de Boer, V., 19 Mar 2018. 2 p.

Research output: Contribution to ConferenceAbstractAcademic

Open Access
File
Data structures
Learning systems
2017

ARIADNE: Final Report on Data Mining

Wilcke, W. X., de Boer, V., van Harmelen, F. A. H., de Kleijn, M. T. M., Wansleeben, M., Dimitropoulos, H. & Wright, H. (ed.), 2017, Ariadne. (ARIADNE; no. D16.3)

Research output: Book / ReportReportAcademic

networking
semantics
expert
infrastructure
experiment

The knowledge graph as the default data model for learning on heterogeneous knowledge

Wilcke, X., Bloem, P. & De Boer, V., 8 Dec 2017, In : Data Science. 1, 1-2, p. 39-57 19 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
Data structures
Learning systems

User-Driven Pattern Mining on knowledge graphs: an Archaeological Case Study

Wilcke, W. X., de Boer, V. & van Harmelen, F., 9 Jun 2017. 2 p.

Research output: Contribution to ConferenceAbstractAcademic

Open Access
File
expert
paradigm
experiment
community
2016

A Deep Neural Network for Link Prediction on Knowledge Graphs

Wilcke, W. X., 2016.

Research output: Contribution to ConferencePosterProfessional

Open Access
File

A Deep Neural Network for Link Prediction on Knowledge Graphs

Wilcke, W. X., de Boer, V., van Harmelen, F. A. H. & de Kleijn, M. T. M., 2016. 2 p.

Research output: Contribution to ConferenceAbstractAcademic

Open Access
File
2015

ARIADNE: First Report on Data Mining

Wilcke, W. X., de Boer, V., van Harmelen, F. A. H., de Kleijn, M. & Wansleeben, M., 2015, Amsterdam: Ariadne. 90 p. (Ariadne; no. D16.1)

Research output: Book / ReportReportAcademic

community
networking
infrastructure

Learning an Optimized Deep Neural Network for Link Prediction on Knowledge Graphs

Wilcke, W. X., 2015.

Research output: Contribution to ConferencePosterAcademic

Open Access
File
Semantic Web
Neural networks
Deep learning
Deep neural networks

Learning an Optimized Deep Neural Network for Link Prediction on Knowledge Graphs

Wilcke, W. X., 2015, Proceedings of the ECMLPKDD 2015 Doctoral Consortium. Hollmén, J. & Papapetrou, P. (eds.). Helsinki: Aalto University, p. 226-235

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Semantic Web
Learning algorithms
Learning systems
Scalability
Deep neural networks
2014

Co-evolutionary Learning for Cognitive Computer Generated Entities

Wilcke, W. X., Hoogendoorn, M. & Roessingh, J. J. M., 2014, In : Lecture Notes in Computer Science. 8482, 2, p. 120-129

Research output: Contribution to JournalArticleAcademicpeer-review

Evolutionary Learning
Learning systems
Machine Learning
Cognitive Models
Coevolution