Pascal Welke 个人学术档案 - 学术资源搜索

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Stefan WrobelFraunhofer IAIS and University of Bonn在 iais.fraunhofer.de 的电子邮件经过验证
Dehne, H.-W.Prof. of Plant Pathology, University of Bonn在 uni-bonn.de 的电子邮件经过验证
Lutz PlümerProfessor für Geoinformation, Universität Bonn在 igg.uni-bonn.de 的电子邮件经过验证
Anne-Katrin MahleinInstitute of Sugar Beet Research, Göttingen在 ifz-goettingen.de 的电子邮件经过验证
Matthias JakobsResearch Associate, TU Dortmund在 tu-dortmund.de 的电子邮件经过验证
Katharina BeckhFraunhofer IAIS; Lamarr Institute; University of Bonn在 iais.fraunhofer.de 的电子邮件经过验证
Alexander MarkowetzThe Gesamtschau Institute在 markowetz.de 的电子邮件经过验证
Thomas GärtnerTU Wien (Technical University of Vienna)在 tuwien.ac.at 的电子邮件经过验证
Maximilian ThiessenPhD student, TU Wien在 tuwien.ac.at 的电子邮件经过验证
Laura von RuedenResearch Scientist, Fraunhofer IAIS, Fraunhofer Center for Machine Learning在 iais.fraunhofer.de 的电子邮件经过验证
Sebastian HoubenUniversity of Applied Sciences Bonn-Rhein-Sieg在 h-brs.de 的电子邮件经过验证
Hanxiao TanTU Dortmund University在 tu-dortmund.de 的电子邮件经过验证
Raphael FischerTU Dortmund University, Lamarr Institute在 udo.edu 的电子邮件经过验证
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAIS在 bit.uni-bonn.de 的电子邮件经过验证
Konrad BłaszkiewiczUniversity of Bonn在 cs.uni-bonn.de 的电子邮件经过验证
Ionut AndoneUniversity of Bonn在 cs.uni-bonn.de 的电子邮件经过验证
Fabian JoglPhD Student, TU Wien在 tuwien.ac.at 的电子邮件经过验证
Dario AntweilerFraunhofer IAIS在 iais.fraunhofer.de 的电子邮件经过验证
Jenny MackDepartment of Computer Science IV, University of Bonn在 cs.uni-bonn.de 的电子邮件经过验证
Raimund WegenerDepartment Transport Processes, Fraunhofer ITWM在 itwm.fraunhofer.de 的电子邮件经过验证

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Pascal Welke

TU Wien

在 tuwien.ac.at 的电子邮件经过验证 - 首页

Data Mining Graph Mining Network Science Machine Learning Applied Graph Theory


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	626	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	71	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	33	2021
A generalized weisfeiler-lehman graph kernel TH Schulz, T Horváth, P Welke, S Wrobel Machine Learning 111 (7), 2601-2629, 2022	26	2022
Graph filtration kernels T Schulz, P Welke, S Wrobel Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8196-8203, 2022	14	2022
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
On the Necessity of Graph Kernel Baselines T Schulz, P Welke ECML-PKDD, GEM workshop, 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
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	11	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	11	2023
Ligand affinity prediction with multi-pattern kernels K Ullrich, J Mack, P Welke Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016	10	2016
Probabilistic and exact frequent subtree mining in graphs beyond forests P Welke, T Horváth, S Wrobel Machine Learning 108 (7), 1137-1164, 2019	8	2019
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	7	2021
Probabilistic frequent subtree kernels P Welke, T Horváth, S Wrobel New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP …, 2016	7	2016
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	6	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	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
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	6	2016
Efficient Frequent Subgraph Mining in Transactional Databases P Welke 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020	5	2020
Efficient frequent subtree mining beyond forests P Welke IOS Press, 2020	5	2020

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