Items where Author is "Welke, Pascal"

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Number of items: 25.

Journal Article

Antweiler, Dario and Harmening, Marc and Marheineke, Nicole and Schmeißer, Andre and Wegener, Raimund and Welke, Pascal (2022) Machine learning framework to predict nonwoven material properties from fiber graph representations. Software Impacts, 14: 100423. ISSN 2665-9638

Schulz, Till Hendrik and Horváth, Tamás and Welke, Pascal and Wrobel, Stefan (2022) A generalized Weisfeiler-Lehman graph kernel. Machine Learning, 111 (7). pp. 2601-2629. ISSN 0885-6125

Mehler, Alexander and Hemati, Wahed and Welke, Pascal and Konca, Maxim and Uslu, Tolga (2020) Multiple Texts as a Limiting Factor in Online Learning : Quantifying (Dis-)similarities of Knowledge Networks across Languages. Frontiers in Education, 5: 562670. ISSN 2504-284X

Welke, Pascal and Horváth, Tamás and Wrobel, Stefan (2019) Probabilistic and exact frequent subtree mining in graphs beyond forests. Machine Learning, 108 (7). pp. 1137-1164. ISSN 0885-6125

Welke, Pascal and Horváth, Tamás and Wrobel, Stefan (2018) Probabilistic frequent subtrees for efficient graph classification and retrieval. Machine Learning, 107 (11). pp. 1847-1873. ISSN 0885-6125

Contribution in Book/Report/Proceedings

Antweiler, Dario and Burgard, Jan Pablo and Harmening, Marc and Marheineke, Nicole and Schmeißer, Andre and Wegener, Raimund and Welke, Pascal (2025) A Regression-Based Predictive Model Hierarchy for Nonwoven Tensile Strength Inference. In: Informed Machine Learning :. Springer, Cham, pp. 63-90. ISBN 9783031830969

Palme, Richard and Welke, Pascal (2023) Frequent Generalized Subgraph Mining via Graph Edit Distances. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022) :. Communications in Computer and Information Science . Springer, Cham, pp. 477-483. ISBN 9783031236327

Kalofolias, Janis and Welke, Pascal and Vreeken, Jilles (2021) SUSAN : The Structural Similarity Random Walk Kernel. In: Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) :. SIAM PUBLICATIONS, pp. 298-306. ISBN 9781611976700

Welke, Pascal and Alkhoury, Fouad and Bauckhage, Christian and Wrobel, Stefan (2021) Decision Snippet Features. In: 2020 25th International Conference on Pattern Recognition (ICPR) :. IEEE, pp. 4260-4267. ISBN 9781728188096

Welke, Pascal (2020) Efficient Frequent Subgraph Mining in Transactional Databases. In: Efficient Frequent Subgraph Mining in Transactional Databases. :. IEEE, AUS, pp. 307-314. ISBN 9781728182070

Schulz, Till Hendrik and Horváth, Tamás and Welke, Pascal and Wrobel, Stefan (2018) Mining Tree Patterns with Partially Injective Homomorphisms. In: Mining Tree Patterns with Partially Injective Homomorphisms. :. Lecture Notes in Computer Science, 11052 . Springer, Cham, IRL, pp. 585-601. ISBN 9783030109271

Welke, Pascal and Markowetz, Alexander and Suel, Torsten and Christoforaki, Maria (2016) Three-hop distance estimation in social graphs. In: Three-hop distance estimation in social graphs. :. IEEE, Washington, DC, pp. 1048-1055. ISBN 9781467390064

Ullrich, Katrin and Mack, Jennifer and Welke, Pascal (2016) Ligand Affinity Prediction with Multi-pattern Kernels. In: Ligand Affinity Prediction with Multi-pattern Kernels. :. Lecture Notes in Computer Science . Springer Nature, Bari, pp. 474-489. ISBN 9783319463063

Welke, Pascal and Horváth, Tamás and Wrobel, Stefan (2016) Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. In: Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. :. Lecture Notes in Computer Science, 9956 (1). Springer, Cham, Bari, pp. 67-82. ISBN 9783319463063

Welke, Pascal and Andone, Ionut and Blaszkiewicz, Konrad and Markowetz, Alexander (2016) Differentiating smartphone users by app usage. In: Differentiating smartphone users by app usage. :. The Association for Computing Machinery, Heidelberg, pp. 519-523. ISBN 9781450344616

Welke, Pascal and Horváth, Tamás and Wrobel, Stefan (2016) Probabilistic Frequent Subtree Kernels. In: Probabilistic Frequent Subtree Kernels. :. Lecture Notes in Computer Science, 9067 . Springer, Cham, Porto, pp. 179-193. ISBN 9783319393148

Welke, Pascal and Horváth, Tamás and Wrobel, Stefan (2015) On the Complexity of Frequent Subtree Mining in Very Simple Structures. In: Springer Switerzland :. Lecture Notes in Computer Science, 9046 . Springer Nature, Nancy, pp. 194-209. ISBN 978-3-319-23707-7

Monograph

Mohiuddin, Karishma and Alam, Mirza Ariful and Alam, Mirza Mohtashim and Welke, Pascal and Martin, Michael and Lehmann, Jens and Vahdati, Sahar (2023) Retention Is All You Need. Other. Arxiv.

Schulz, Till Hendrik and Welke, Pascal and Wrobel, Stefan (2021) Graph Filtration Kernels. Other. Arxiv.

Beckh, Katharina and Müller, Sebastian and Jakobs, Matthias and Toborek, Vanessa and Tan, Hanxiao and Fischer, Raphael and Welke, Pascal and Houben, Sebastian and von Rueden, Laura (2021) Explainable Machine Learning with Prior Knowledge : An Overview. Other. Arxiv.

Schulz, Till Hendrik and Horváth, Tamás and Welke, Pascal and Wrobel, Stefan (2021) A Generalized Weisfeiler-Lehman Graph Kernel. Other. Arxiv.

Welke, Pascal (2017) Simple Necessary Conditions for the Existence of a Hamiltonian Path with Applications to Cactus Graphs. Other. Arxiv.

Contribution to Conference

Schulz, Till Hendrik and Welke, Pascal and Wrobel, Stefan (2022) Graph Filtration Kernels. In: 36th AAAI Conference on Artificial Intelligence, 2022-02-22 - 2022-03-01.

Welke, Pascal and Seiffarth, Florian and Kamp, Michael and Wrobel, Stefan (2020) HOPS: Probabilistic Subtree Mining for Small and Large Graphs. In: KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020-07-06 - 2020-07-10.

Book/Report/Proceedings

Welke, Pascal (2020) Efficient Frequent Subtree Mining Beyond Forests. Dissertations in Artificial Intelligence . IOS Press. ISBN 9781643680781

This list was generated on Thu Apr 24 09:34:43 2025 UTC.