Privatissimum
Time: Thursday 02:00 p.m.
Location: BigBlueButton meeting
Slides can be found in our SVN repository.
| Date | Speaker | Title |
|---|---|---|
| 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 |