Pascal Welke
Pascal Welke
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uni-bonn.de - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Development of spectral indices for detecting and identifying plant diseases
AK Mahlein, T Rumpf, P Welke, HW Dehne, L Plümer, U Steiner, ...
Remote Sensing of Environment 128, 21-30, 2013
3682013
Differentiating smartphone users by app usage
P Welke, I Andone, K Blaszkiewicz, A Markowetz
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
522016
Ligand affinity prediction with multi-pattern kernels
K Ullrich, J Mack, P Welke
International Conference on Discovery Science, 474-489, 2016
72016
Probabilistic frequent subtrees for efficient graph classification and retrieval
P Welke, T Horváth, S Wrobel
Machine Learning 107 (11), 1847-1873, 2018
62018
Probabilistic and exact frequent subtree mining in graphs beyond forests
P Welke, T Horváth, S Wrobel
Machine Learning 108 (7), 1137-1164, 2019
52019
Mining tree patterns with partially injective homomorphisms
TH Schulz, T Horváth, P Welke, S Wrobel
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
52018
On the Necessity of Graph Kernel Baselines
T Schulz, P Welke
ECML-PKDD, GEM workshop, 2019
42019
Three-hop distance estimation in social graphs
P Welke, A Markowetz, T Suel, M Christoforaki
2016 IEEE International Conference on Big Data (Big Data), 1048-1055, 2016
42016
A Generalized Weisfeiler-Lehman Graph Kernel
TH Schulz, T Horváth, P Welke, S Wrobel
arXiv preprint arXiv:2101.08104, 2021
32021
HOPS: Probabilistic Subtree Mining for Small and Large Graphs
P Welke, F Seiffarth, M Kamp, S Wrobel
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
32020
Efficient frequent subtree mining beyond forests
P Welke
IOS Press, 2020
32020
Probabilistic frequent subtree kernels
P Welke, T Horváth, S Wrobel
International Workshop on New Frontiers in Mining Complex Patterns, 179-193, 2015
32015
Multiple Texts as a Limiting Factor in Online Learning: Quantifying (Dis-) similarities of Knowledge Networks
A Mehler, W Hemati, P Welke, M Konca, T Uslu
Front. Educ. 5: 562670. doi: 10.3389/feduc, 2020
2*2020
Simple Necessary Conditions for the Existence of a Hamiltonian Path with Applications to Cactus Graphs
P Welke
arXiv preprint arXiv:1709.01367, 2017
22017
Min-hashing for probabilistic frequent subtree feature spaces
P Welke, T Horváth, S Wrobel
International Conference on Discovery Science, 67-82, 2016
22016
On the complexity of frequent subtree mining in very simple structures
P Welke, T Horváth, S Wrobel
Inductive Logic Programming, 194-209, 2015
22015
Explainable Machine Learning with Prior Knowledge: An Overview
K Beckh, S Müller, M Jakobs, V Toborek, H Tan, R Fischer, P Welke, ...
arXiv preprint arXiv:2105.10172, 2021
12021
Decision Snippet Features
P Welke, F Alkhoury, C Bauckhage, S Wrobel
2020 25th International Conference on Pattern Recognition (ICPR), 4260-4267, 2021
2021
SUSAN: The Structural Similarity Random Walk Kernel
J Kalofolias, P Welke, J Vreeken
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
2021
Efficient Frequent Subgraph Mining in Transactional Databases
P Welke
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
2020
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