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Maximilian Stubbemann
Maximilian Stubbemann
Information Systems and Machine Learning Lab, University of Hildesheim, Germany
Zweryfikowany adres z ismll.de - Strona główna
Tytuł
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Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research
T Koopmann, M Stubbemann, M Kapa, M Paris, G Buenstorf, T Hanika, ...
Scientometrics, 1-22, 2021
142021
FCA2VEC: Embedding Techniques for Formal Concept Analysis
D Dürrschnabel, T Hanika, M Stubbemann
Complex Data Analytics with Formal Concept Analysis, 47-74, 2021
112021
Intrinsic dimension for large-scale geometric learning
M Stubbemann, T Hanika, FM Schneider
arXiv preprint arXiv:2210.05301, 2022
52022
Lg4av: Combining language models and graph neural networks for author verification
M Stubbemann, G Stumme
International Symposium on Intelligent Data Analysis, 315-326, 2022
32022
Orometric methods in bounded metric data
M Stubbemann, T Hanika, G Stumme
International Symposium on Intelligent Data Analysis, 496-508, 2020
32020
The mont blanc of twitter: Identifying hierarchies of outstanding peaks in social networks
M Stubbemann, G Stumme
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
22023
Selecting Features by their Resilience to the Curse of Dimensionality
M Stubbemann, T Hille, T Hanika
arXiv preprint arXiv:2304.02455, 2023
22023
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
J Burchert, T Werner, VK Yalavarthi, DC de Portugal, M Stubbemann, ...
arXiv preprint arXiv:2404.06966, 2024
2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
T Hille, M Stubbemann, T Hanika
arXiv preprint arXiv:2403.08438, 2024
2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
K Madhusudhanan, G Behrens, M Stubbemann, L Schmidt-Thieme
arXiv preprint arXiv:2403.03812, 2024
2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
T Dernedde, D Thyssens, S Dittrich, M Stubbemann, L Schmidt-Thieme
arXiv preprint arXiv:2402.04915, 2024
2024
Orometry, Intrinsic Dimensionality and Learning: Novel Insights into Network Data
M Stubbemann
2023
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