Publikationen pro Jahr
Publikationen pro Jahr
- 20 Ergebnisse
Suchergebnisse
-
2024
Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems
Schmidt, S., Stappen, L., Schwinn, L. & Gunnemann, S., 2024, in: IEEE Robotics and Automation Letters. 9, 10, S. 8659-8666 8 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access -
2023
Algorithm 1038: KCC: A MATLAB Package for k-Means-based Consensus Clustering
Lin, H., Liu, H., Wu, J., Li, H. & Günnemann, S., 15 Dez. 2023, in: ACM Transactions on Mathematical Software. 49, 4, 40.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
1 Zitat (Scopus) -
Generalized density attractor clustering for incomplete data
Leibrandt, R. & Günnemann, S., März 2023, in: Data Mining and Knowledge Discovery. 37, 2, S. 970-1009 40 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
1 Zitat (Scopus) -
Predicting cellular responses to complex perturbations in high-throughput screens
Lotfollahi, M., Klimovskaia Susmelj, A., De Donno, C., Hetzel, L., Ji, Y., Ibarra, I. L., Srivatsan, S. R., Naghipourfar, M., Daza, R. M., Martin, B., Shendure, J., McFaline-Figueroa, J. L., Boyeau, P., Wolf, F. A., Yakubova, N., Günnemann, S., Trapnell, C., Lopez-Paz, D. & Theis, F. J., 12 Juni 2023, in: Molecular Systems Biology. 19, 6, e11517.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access53 Zitate (Scopus) -
United States politicians’ tone became more negative with 2016 primary campaigns
Külz, J., Spitz, A., Abu-Akel, A., Günnemann, S. & West, R., Dez. 2023, in: Scientific Reports. 13, 1, 10495.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access2 Zitate (Scopus) -
Using Deep Learning for Flexible and Scalable Earthquake Forecasting
Dascher-Cousineau, K., Shchur, O., Brodsky, E. E. & Günnemann, S., 16 Sept. 2023, in: Geophysical Research Letters. 50, 17, e2023GL103909.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access9 Zitate (Scopus) -
2022
A model-driven approach to machine learning and software modeling for the IoT: Generating full source code for smart Internet of Things (IoT) services and cyber-physical systems (CPS)
Moin, A., Challenger, M., Badii, A. & Günnemann, S., Juni 2022, in: Software and Systems Modeling. 21, 3, S. 987-1014 28 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access19 Zitate (Scopus) -
C.DOT - Convolutional Deep Object Tracker for Augmented Reality Based Purely on Synthetic Data
Thiel, K. K., Naumann, F., Jundt, E., Gunnemann, S. & Klinker, G., 1 Dez. 2022, in: IEEE Transactions on Visualization and Computer Graphics. 28, 12, S. 4434-4451 18 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access10 Zitate (Scopus) -
How robust are modern graph neural network potentials in long and hot molecular dynamics simulations?
Stocker, S., Gasteiger, J., Becker, F., Günnemann, S. & Margraf, J. T., 1 Dez. 2022, in: Machine Learning: Science and Technology. 3, 4, 045010.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access50 Zitate (Scopus) -
Recursive SQL and GPU-support for in-database machine learning
Schüle, M. E., Lang, H., Springer, M., Kemper, A., Neumann, T. & Günnemann, S., Sept. 2022, in: Distributed and Parallel Databases. 40, 2-3, S. 205-259 55 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access6 Zitate (Scopus) -
Regional-scale prediction of pluvial and flash flood susceptible areas using tree-based classifiers
Kaiser, M., Günnemann, S. & Disse, M., Sept. 2022, in: Journal of Hydrology. 612, 128088.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
20 Zitate (Scopus) -
Robustness verification of ReLU networks via quadratic programming
Kuvshinov, A. & Günnemann, S., Juli 2022, in: Machine Learning. 111, 7, S. 2407-2433 27 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access1 Zitat (Scopus) -
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
Mrowca, A., Gyrock, F. & Günnemann, S., Jan. 2022, in: Data Mining and Knowledge Discovery. 36, 1, S. 240-294 55 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access1 Zitat (Scopus) -
2021
Mining communities and their descriptions on attributed graphs: a survey
Atzmueller, M., Günnemann, S. & Zimmermann, A., Mai 2021, in: Data Mining and Knowledge Discovery. 35, 3, S. 661-687 27 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access10 Zitate (Scopus) -
Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training
Kopetzki, A. K. & Günnemann, S., Juni 2021, in: Machine Learning. 110, 6, S. 1175-1197 23 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access2 Zitate (Scopus) -
Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach
Kaiser, M., Günnemann, S. & Disse, M., Apr. 2021, in: Journal of Hydrology. 595, 125985.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
19 Zitate (Scopus) -
2020
Adversarial Attacks on Graph Neural Networks: Perturbations and their Paterns
Zügner, D., Borchert, O., Akbarnejad, A. & Günnemann, S., Aug. 2020, in: ACM Transactions on Knowledge Discovery from Data. 14, 5, 3394520.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
67 Zitate (Scopus) -
Providing guidance on efficient flash flood documentation: an application based approach
Kaiser, M., Günnemann, S. & Disse, M., Feb. 2020, in: Journal of Hydrology. 581, 124466.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
9 Zitate (Scopus) -
2019
Stability and dynamics of communities on online question–answer sites
Metzler, S., Günnemann, S. & Miettinen, P., Juli 2019, in: Social Networks. 58, S. 50-58 9 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
4 Zitate (Scopus) -
2017
MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels
Boden, B., Günnemann, S., Hoffmann, H. & Seidl, T., 1 Feb. 2017, in: Knowledge and Information Systems. 50, 2, S. 417-446 30 S.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
10 Zitate (Scopus)