Dr. Christian M. M. Frey

Dr. Christian M. M. Frey

Postdoctoral Researcher Machine Learning, Akademischer Rat at UTN; formerly Lecturer@Uni Bamberg

Publications

BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction

Published in 23rd International Conference on Business Process Management, 2025, 2025

Recommended citation: BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction S Rauch, CMM Frey, A Maldonado, T Seidl - 23rd International Conference on Business Process Management, 2025

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining

Published in Business Process Management (BPM), 2024, 2024

Recommended citation: GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining A Maldonado, CMM Frey, G Tavares, N Rehwald, T Seidl - 22nd International Conference on Business Process Management, 2024
https://link.springer.com/chapter/10.1007/978-3-031-70396-6_13

Link: https://link.springer.com/chapter/10.1007/978-3-031-70396-6_13

Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms

Published in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2024, 2024

Recommended citation: Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. P Jahn, CMM Frey, A Beer, C Leibler, T Seidl - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2024 https://link.springer.com/chapter/10.1007/978-3-031-70368-3_1

Link: https://link.springer.com/chapter/10.1007/978-3-031-70368-3_1

DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification

Published in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023, 2023

Recommended citation: Connecting the Dots--Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering S Gilhuber, J Busch, D Rotthues, CMM Frey, T Seidl - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023
https://link.springer.com/chapter/10.1007/978-3-031-43412-9_5

Link: https://link.springer.com/chapter/10.1007/978-3-031-43412-9_5

Connecting the Dots–Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering

Published in Conference on Knowledge Discovery and Data Mining, 2023, 2023

Recommended citation: Connecting the Dots--Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering A Beer, A Draganov, E Hohma, P Jahn, CMM Frey, I Assent - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
https://dl.acm.org/doi/abs/10.1145/3580305.3599283

Link: https://dl.acm.org/doi/abs/10.1145/3580305.3599283

SEA: Graph Shell Attention in Graph Neural Networks

Published in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022, 2022

Recommended citation: Frey, Christian M.M. et al., SEA: Graph Shell Attention in Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022
https://2022.ecmlpkdd.org/wp-content/uploads/2022/09/sub_803.pdf

Link: https://2022.ecmlpkdd.org/wp-content/uploads/2022/09/sub_803.pdf