Mummoju, P, Wolff, A, Perdacher, M, Plant, C & Böhm, C 2022, Enhancing k-Means Algorithm with Tensor Processing Unit. in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (eds), 2022 IEEE International Conference on Big Data (IEEE BigData). IEEE, Piscataway, pp. 194-200. https://doi.org/10.1109/BigData55660.2022.10020427

Chen, Z, Fu, L, Yao, J, Guo, W, Plant, C & Wang, S 2022 'Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning' arXiv.org. https://doi.org/10.48550/arXiv.2211.09155

Jalaldoust, A, Hlavácková-Schindler, K & Plant, C 2022, Causal Discovery in Hawkes Processes by Minimum Description Length. in Thirty-Sixth AAAI Conference on Artificial Intelligence; Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence; The Twelveth Symposium on Educational Advances in Artificial Intelligence. AAAI Press, Palo Alto, California, Proceedings of the ... National Conference on Artificial Intelligence, no. 6, vol. 36, pp. 6978-6987. https://doi.org/10.48550/arXiv.2206.06124, https://doi.org/10.1609/aaai.v36i6.20656

Bauer, L, Hirsch, F, Jones, C, Hollander, M, Grohs, P, Anand, A, Plant, C & Wohlschläger, A 2022, 'Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive Disorder', Frontiers in Computational Neuroscience, vol. 16, 729556. https://doi.org/10.3389/fncom.2022.729556

Leiber, C, Mautz, D, Plant, C & Böhm, C 2022, Automatic Parameter Selection for Non-Redundant Clustering. in A Banerjee, Z-H Zhou, EE Papalexakis & M Riondato (eds), Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. SIAM, pp. 226-234. https://doi.org/10.1137/1.9781611977172.26

Durani, W, Mautz, D, Plant, C & Böhm, C 2022, DBHD: Density-based clustering for highly varying density. in IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE, pp. 921-926. <http://eprints.cs.univie.ac.at/8066/>

Miklautz, L, Teuffenbach, M, Weber, P, Perjuci, R, Durani, W, Böhm, C & Plant, C 2022, Deep Clustering With Consensus Representations. in X Zhu, S Ranka, MT Thai, T Washio & X Wu (eds), Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. IEEE, Orlando, Florida, IEEE International Conference on Data Mining. Proceedings., pp. 1119-1124. https://doi.org/10.1109/ICDM54844.2022.00141

Miklautz, L, Teuffenbach, M, Weber, P, Perjuci, R, Durani, W, Boehm, C & Plant, C 2022 'Deep Clustering With Consensus Representations' arXiv. https://doi.org/10.48550/arXiv.2210.07063

Velaj, Y , Dolezal, D , Ambros, R , Plant, C & Motschnig, R 2022, Designing a Data Science Course for Non-Computer Science Students: Practical Considerations and Findings. in 2022 IEEE Frontiers in Education Conference, FIE 2022. IEEE, Piscataway, NJ, pp. 1-9. https://doi.org/10.1109/FIE56618.2022.9962455

Balazia, M, Hlavácková-Schindler, K, Sojka, P & Plant, C 2022, Interpretable Gait Recognition by Granger Causality. in 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022. IEEE, Piscataway, NJ, pp. 1069-1075. https://doi.org/10.48550/arXiv.2206.06714, https://doi.org/10.1109/ICPR56361.2022.9956624

Projects

Clustering of Smart-Meter Data

Velaj, Y. (Project Lead) & Plant, C. (Co-Lead)

1/01/24 → 31/12/26

Project: Research cooperation

Learning Synchronization Patterns in Neural Signal

Plant, C. (Project Lead) & Schindlerova, K. (Co-Lead)

1/10/21 → 30/09/24

Project: Research funding

Hybrid Computational Sciences

Grohs, P. (Project Lead), Scherzer, O. (Co-Lead), Plant, C. (Co-Lead), Dellago, C. (Co-Lead), Wöhrer, A. (Co-Lead), Kunisch, K. (Co-Lead), Ramlau, R. (Co-Lead) & von Haeseler, A. (Co-Lead)

16/08/21 → 31/12/21

Project: Research funding