Benjamin Schelling

Orcid: 0000-0003-1298-6535

According to our database1, Benjamin Schelling authored at least 10 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Dip-based Deep Embedded Clustering with k-Estimation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation.
Knowl. Inf. Syst., 2020

The Data Mining Group at University of Vienna.
Datenbank-Spektrum, 2020

Utilizing Structure-Rich Features to Improve Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

RandomLink - Avoiding Linkage-Effects by Employing Random Effects for Clustering.
Proceedings of the Database and Expert Systems Applications, 2020

2018
DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering.
Proceedings of the IEEE International Conference on Data Mining, 2018

KMN - Removing Noise from K-Means Clustering Results.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2016
Clustering with the Levy Walk: "Hunting" for Clusters.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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