Wim De Mulder

Orcid: 0000-0003-1104-0668

According to our database1, Wim De Mulder authored at least 14 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A collaboration between judge and machine to reduce legal uncertainty in disputes concerning ex aequo et bono compensations.
Artif. Intell. Law, June, 2023

2022
Introduction of Artificial Intelligence in Belgian Court: Failures, Challenges and Opportunities.
Proceedings of the Joint Proceedings of the 3th International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL 2022) and the 1st International Workshop on Knowledge Graph Summarization (KGSum 2022) co-located with the 21st International Semantic Web Conference (ISWC 2022), 2022

Explainable Black Box Models.
Proceedings of the Intelligent Systems and Applications, 2022

The Use of Partial Order Relations and Measure Theory in Developing Objective Measures of Explainability.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022

2021
The need for a numeric measure of explainability.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space.
J. Comput. Appl. Math., 2020

A foundation for reference models for drug combinations with an application to Loewe's reference model.
BMC Bioinform., 2020

2019
Extending Gaussian process emulation using cluster analysis and artificial neural networks to fit big training sets.
J. Simulation, 2019

2015
A survey on the application of recurrent neural networks to statistical language modeling.
Comput. Speech Lang., 2015

2014
Instability and cluster stability variance for real clusterings.
Inf. Sci., 2014

2013
Optimal clustering in the context of overlapping cluster analysis.
Inf. Sci., 2013

2011
Generalized hard cluster analysis.
Int. J. Comput. Math., 2011

2010
Clustering of gene expression profiles: creating initialization-independent clusterings by eliminating unstable genes.
J. Integr. Bioinform., 2010

2008
Initialization Dependence of Clustering Algorithms.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008


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