Pascal Welke

Получаване на мой собствен потребителски профил

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19 статии

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Въз основа на изисквания при финансирането

Съавтори

Stefan WrobelFraunhofer IAIS and University of BonnПотвърден имейл адрес: iais.fraunhofer.de
Dehne, H.-W.Prof. of Plant Pathology, University of BonnПотвърден имейл адрес: uni-bonn.de
Lutz PlümerProfessor für Geoinformation, Universität BonnПотвърден имейл адрес: igg.uni-bonn.de
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenПотвърден имейл адрес: ifz-goettingen.de
Matthias JakobsResearch Associate, TU DortmundПотвърден имейл адрес: tu-dortmund.de
Katharina BeckhFraunhofer IAIS; Lamarr Institute; University of BonnПотвърден имейл адрес: iais.fraunhofer.de
Sebastian MuellerUniversity of Bonn, Lamarr InstituteПотвърден имейл адрес: uni-bonn.de
Thomas GärtnerTU Wien (Technical University of Vienna)Потвърден имейл адрес: tuwien.ac.at
Maximilian ThiessenPhD student, TU WienПотвърден имейл адрес: tuwien.ac.at
Alexander MarkowetzThe Gesamtschau InstituteПотвърден имейл адрес: markowetz.de
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAIS, LAMARR InstituteПотвърден имейл адрес: bit.uni-bonn.de
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine LearningПотвърден имейл адрес: iais.fraunhofer.de
Sebastian HoubenUniversity of Applied Sciences Bonn-Rhein-SiegПотвърден имейл адрес: h-brs.de
Hanxiao TanTU Dortmund UniversityПотвърден имейл адрес: tu-dortmund.de
Raphael FischerTU Dortmund University, Lamarr InstituteПотвърден имейл адрес: udo.edu
Fabian JoglPhD Student, TU WienПотвърден имейл адрес: tuwien.ac.at
Konrad BłaszkiewiczUniversity of BonnПотвърден имейл адрес: cs.uni-bonn.de
Ionut AndoneUniversity of BonnПотвърден имейл адрес: cs.uni-bonn.de
Dario AntweilerFraunhofer IAISПотвърден имейл адрес: iais.fraunhofer.de
Sahar VahdatiTechnische Informationsbibliothek (TIB) - Leibniz Universität HannoverПотвърден имейл адрес: tu-dresden.de

Следене

Pascal Welke

Lancaster University Leipzig

Потвърден имейл адрес: tuwien.ac.at - Начална страница

Machine Learning on Graphs Graph Mining Network Science Machine Learning Applied Graph Theory


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	692	2013
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	72	2016
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	43	2021
A generalized weisfeiler-lehman graph kernel TH Schulz, T Horváth, P Welke, S Wrobel Machine Learning 111 (7), 2601-2629, 2022	35	2022
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning S Müller, V Toborek, K Beckh, M Jakobs, C Bauckhage, P Welke Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023	23	2023
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview K Beckh, S Müller, M Jakobs, V Toborek, H Tan, R Fischer, P Welke, ... 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 450-463, 2023	16	2023
Graph filtration kernels T Schulz, P Welke, S Wrobel Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8196-8203, 2022	16	2022
Retention Is All You Need K Mohiuddin, MA Alam, MM Alam, P Welke, M Martin, J Lehmann, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023	13	2023
A New Aligned Simple German Corpus V Toborek, M Busch, M Boßert, C Bauckhage, P Welke The 61st Annual Meeting of the Association for Computational Linguistics …, 2023	13	2023
On the Necessity of Graph Kernel Baselines T Schulz, P Welke ECML-PKDD, GEM workshop, 2019	13	2019
Mining tree patterns with partially injective homomorphisms TH Schulz, T Horváth, P Welke, S Wrobel Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019	12	2019
Probabilistic frequent subtrees for efficient graph classification and retrieval P Welke, T Horváth, S Wrobel Machine Learning 107, 1847-1873, 2018	12	2018
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	11	2021
Ligand affinity prediction with multi-pattern kernels K Ullrich, J Mack, P Welke International Conference on Discovery Science, 474-489, 2016	10	2016
Expectation-Complete Graph Representations with Homomorphisms P Welke, M Thiessen, F Jogl, T Gärtner Proceedings of the 40th International Conference on Machine Learning 202 …, 2023	7	2023
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 Frontiers in Education 5, 562670, 2020	7	2020
Probabilistic and exact frequent subtree mining in graphs beyond forests P Welke, T Horváth, S Wrobel Machine Learning 108 (7), 1137-1164, 2019	7	2019
Maximally expressive GNNs for outerplanar graphs F Bause, F Jogl, P Indri, T Drucks, D Penz, NM Kriege, T Gärtner, P Welke, ... Transactions on Machine Learning Research, 2025	6	2025
Efficient Frequent Subgraph Mining in Transactional Databases P Welke 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020	6	2020
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	6	2020

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