Pascal Weber, B.Sc. M.Sc.

Research Group Data Mining and Machine Learning

Währinger Straße 29
1090 Wien
Room : 3.42

T: +43-1-4277-79521

pascal.weber(at)univie.ac.at

Publications

Ultrametric Cluster Hierarchies: I Want ‘em All! / Draganov, Andrew; Weber, Pascal; Jørgensen, Rasmus Halfdan et al.
2025. Paper presented at 39th Conference on Neural Information Processing Systems, San Diego, California, United States.

Publications: Contribution to conference › Paper › Peer Reviewed

Internal Evaluation of Density-Based Clusterings with Noise. / Beer, Anna; Krieger, Lena; Weber, Pascal et al.
2025.

Publications: Working paper › Preprint

doi.org/10.48550/arXiv.2503.00127

I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies. / Draganov, Andrew; Weber, Pascal; Skibdahl, Rasmus et al.
2025.

Publications: Working paper › Preprint

doi.org/10.48550/arXiv.2502.14018

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

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

CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. / Weber, Pascal; Miklautz, Lukas; Kumar, Akshey et al.
The 10th IEEE International Conference on Data Science and Advanced Analytics. 2023.

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

Deep Clustering With Consensus Representations. / Miklautz, Lukas; Teuffenbach, Martin; Weber, Pascal et al.
Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. ed. / Xingquan Zhu; Sanjay Ranka; My T. Thai; Takashi Washio; Xindong Wu. Orlando, Florida: IEEE, 2022. p. 1119-1124 (IEEE International Conference on Data Mining. Proceedings.).

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

doi.org/10.1109/ICDM54844.2022.00141

Deep Clustering With Consensus Representations. / Miklautz, Lukas; Teuffenbach, Martin; Weber, Pascal et al.
arXiv, 2022.

Publications: Working paper › Preprint

doi.org/10.48550/arXiv.2210.07063

Edge minimization in de Bruijn graphs. / Baier, Uwe; Buechler, Thomas (Corresponding author); Ohlebusch, Enno (Corresponding author) et al.
In: Information and Computation, Vol. 285, 104795, 2022.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1016/J.IC.2021.104795

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