Privatissimum
Time: Thursday 02:00 p.m.
Location: online (Zoom link in Mattermost channel)
Slides can be found in our SVN repository.
Date | Speaker | Title |
---|---|---|
26. 01. 2023 | Kejsi Hoxhallari | Statistical validation and visualization of causal inference with extremes in wind turbine data set |
26. 01. 2023 | Alexander Pintsuk | Visualization of causal inference for wind turbine extreme events |
21. 07. 2022 | Collin Leiber | The DipEncoder: Enforcing Multimodality in Autoencoders |
24. 02. 2022 | Peter Dolog | Understanding and Predicting User Behavior by Data Analysis and Machine Learning |
20. 01. 2022 | Dominik Mautz | Exploratory Cluster Analysis with Jointly Optimized Feature Transformations |
18. 11. 2021 | Evangelos Milios, Dalhousie University | High-recall Information Retrieval and Sense-Making of the Results |
16. 09. 2021 | Alina Godun | Benchmarking of Deep Embedded Clustering with Self-Supervised Learning Losses |
12. 08. 2021 | Michael Hedderich | Low-Resource NLP: Leveraging Recent Approaches and Studying Their Applicability |
10. 06. 2021 | Marc Zobel | Similarity of pandemic time series |
25. 03. 2021 | Rick Beer | Combination of Text- and Graph-Embeddings |
18. 03. 2021 | Sahar Behzadi Soheil | Clustering and Anomaly Detection from Heterogeneous Data |
04. 03. 2021 | Sebastian Ratzenböck | Searching for stellar structures: clustering approaches for highly noisy datasets |
04. 02. 2021 | Martin Perdacher | Space-Filling Curves for Improved Cache-Locality in Shared Memory Environments |
21. 01. 2021 | Nils Kriege | Open Problem/Discussion: Clustering Vertex Neighborhoods for Weisfeiler-Lehman Refinement |
12. 11. 2020 | Lena Bauer Collin Leiber Benjamin Schelling | Deep Dip Clustering |
08. 10. 2020 | Augusto Martins | Deep Embedded Centroid Based Classification |
30. 07. 2020 | Natalia Tretiakova | Predicting Sales Pipeline for Customer Relationship Management Data Using Machine Learning Methods |
25. 06. 2020 | Daniel Soukup | New directions in structured synthetic data generation |
18. 06. 2020 (5.00 p.m.) | Martin Teuffenbach | Adversarial Example Attacks in Computer Vision and NIDS |