Faculty of Computer Science

Assoz. Prof. Dipl.-Inform.Univ. Dr. Christian Böhm

Christian Böhm
Research Group Data Mining and Machine Learning
Währinger Straße 29
1090 Wien
Room : 3.35
T: +43-1-4277-79514
christian.boehm(at)univie.ac.at
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Courses

Publications

An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. / Leiber, Collin; Miklautz, Lukas; Plant, Claudia et al.
In: CoRR, Vol. abs/25, 2025.

Publications: Contribution to journal › Article › Peer Reviewed

Bootstrap Deep Spectral Clustering with Optimal Transport. / Guo, Wengang; Ye, Wei; Chen, Chunchun et al.
In: IEEE Transactions on Multimedia, 2025.

Publications: Contribution to journal › Article › Peer Reviewed

DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures. / Durani, Walid; Mautz, Dominik; Plant, Claudia et al.
Proceedings of the 2025 SIAM International Conference on Data Mining (SDM). ed. / Vagelis Papalexakis; Matteo Riondato; Elena Zheleva; Tim Weninger; Wei Ding. Society for Industrial and Applied Mathematics, 2025. p. 261-269.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1137/1.9781611978520.25

Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract). / Li, Peiyan; Wang, Honglian; Böhm, Christian.
IJCAI. ijcai.org, 2025. p. 10912-10915.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-cell Data. / Atria, Carolina Elisabeth; Cai, Yitao; Weber, Pascal et al.
2025. Paper presented at International Conference on Data Mining, Washington DC, United States.

Publications: Contribution to conference › Paper › Peer Reviewed

Weakly Supervised Anomaly Detection via Dual-Tailed Kernel. / Durani, Walid; Nitzl, Tobias; Plant, Claudia et al.
2025.

Publications: Contribution to conference › Paper › Peer Reviewed

SHADE: Deep Density-based Clustering. / Beer, Anna; Weber, Pascal; Miklautz, Lukas et al.
IEEE International Conference on Data Mining (ICDM) 2024. 2024.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

SHADE: Deep Density-based Clustering. / Beer, Anna; Weber, Pascal; Miklautz, Lukas et al.
arXiv, 2024.

Publications: Working paper › Preprint

doi.org/10.48550/ARXIV.2410.06265

ADOD: Adaptive Density Outlier Detection. / Qian, Li; Qian, Jing; Sun, Xin et al.
IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE, 2024. p. 400-409.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. / Qian, Li; Plant, Claudia; Qin, Yalan et al.
IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024. IEEE, 2024. p. 827-832.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

1 - 10 out of 33

Talks

Application of Deep Clustering Algorithms

Leiber, C. (Speaker), Miklautz, L. (Speaker), Plant, C. (Speaker) & Böhm, C. (Speaker)

21 Oct 2023

Activity: Talks and presentations › Talk or oral contribution › Science to Science