Privatissimum - Archive
2024
| Date | Speaker | Title |
|---|---|---|
| 04. 12. 2024 | Timo Klein | Improved hyperbolic representations for deep Reinforcement Learning |
| 20. 11. 2024 | Carolina Atria | Predicting gene regulatory interactions from single-cell data |
| 20. 11. 2024 (3:00 p.m.) | Peiyan Li | Scalable Graph Classification via Random Walk Fingerprints |
| 06. 11. 2024 | Lena Bauer | Deep Density-based Clustering with Synchronisation |
| 03. 07. 2024 Wednesday, 3:00 p.m. room 4.34 | Radek Silhavy | Software Development Effort Estimation using UML Use Case Model |
| 27. 06. 2024 | Andrea Tanzer | t.b.d. |
| 20. 06. 2024 | Yinglian-Jessica Huynh | Nowcasting including transferability |
| 06. 06. 2024 | Mengyang Liu | Optical coherence tomography and photoacoustic imaging in preclinical and clinical studies |
| 25. 04. 2024 | Lukas Miklautz | Prototyp-basiertes Repräsentationslernen mittels Deep Clustering |
| 11. 04. 2024 | Maximilian Leodolter | Rehersal for PhD defense |
| 21. 03. 2024 | Dominik Répás | Text-Guided Alternative Image Clustering |
| 21. 03. 2024 (3:00 p.m.) | Katerina Schindlerova | Statistical Compression Schemes for Causal Inference |
| 14. 03. 2024 | Stefano Melchionna | Democratization of Data Science in European Banks: A proposal for co-operation focusing on deep anomaly detection |
| 08. 01. 2024 Monday, 3:00 p.m. | Pranava Mummoju | FOP practice presentation |
2023
| Date | Speaker | Title |
|---|---|---|
| 14. 12. 2023 | Anna Beer | Deep Density-based Clustering |
| 30. 11. 2023 | Lukas Miklautz | Prototype-based Representation Learning with Deep Clustering |
| 23. 11. 2023 | Roger Revilla-i-Domingo | Sponge stem cells: shedding light on the evolution of multicellularity and deep sea ecology |
| 19. 10. 2023 | Timo Klein | Plasticity loss in Deep Clustering and Reinforcement Learning |
| 18. 10. 2023 Wednesday, 3:30 p.m. | Nina Hubig | t.b.d. |
| 29. 06. 2023 (3:00 p.m.) | Rainer Wöß | Visualization of spatio-temporal influences of wind related meteorogical variables in a wind turbine farm in Andau |
| 11. 05. 2023 | Johannes Lehner, Benedikt Alkin, Lukas Miklautz | Masked Autoencoders with Contrastive Learning for Clustering and Classification |
| 27. 04. 2023 | Xin Sun | Gaussian Dynamic Convolution for Efficient Single-Image Segmentation |
| 30. 03. 2023 | Alexander Pintsuk | Visualization of causal inference for wind turbine extreme events |
| 26. 01. 2023 | Kejsi Hoxhallari | Statistical validation and visualization of causal inference with extremes in wind turbine data set |
2022
| 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 |
2021
| Date | Speaker | Title |
|---|---|---|
| 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 |
2020
| Date | Speaker | Title |
|---|---|---|
| 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 |
| 04. 06. 2020 (3.00 p.m.) | Nils Kriege | Matching and Embedding Graphs |
| 28. 05. 2020 | Yllka Velaj | Recommending Links to Maximize the Influence in Social Networks |
| 30. 04. 2020 | Aigerim Zhamukhanova | Quality and Runtime Analysis of Stoachastic Gradient Descent K-Means |
| 30. 04. 2020 | Lorenz Kummer | Classification of Road Conditions and Types Based on Mobile Devices Telemetry Data |
| 16. 01. 2020 | Stefan Neumann | Provably Finding Tiny Clusters in Bipartite Graphs |
2019
| Date | Speaker | Title |
|---|---|---|
| 31. 10. 2019 | Lena Bauer | Planting Synchronisation Trees for Discovering Interaction Patterns among Brain Regions (ICDM PhD Forum) |
| 26. 09. 2019 | Yigit Berkay Bozkurt | Anomaly Detection by Heterogenous Graphical Granger Causality and Its Application to Climate Data |
| 01. 08. 2019 | Thorsten Steuer | Clustering GPS data to derive transportation patterns in road construction |
| 27. 06. 2019 | Thomas Spendlhofer | Evaluating the usage of Tensor Processing Units (TPUs) for unsupervised learning on the example of the k-means algorithm |
| 27. 06. 2019 | Hermann Hinterhauser | Information-theoretic grid-based clustering |
| 19. 06. 2019 11:45 Wednesday | Martin Perdacher | High-Performace Similarity Join |
| 16. 05. 2019 | Enrico Schulz | Stability and Heterogeneity of Cortical Patterns of Pain Processing |
| 09. 05. 2019 | Wojciech Kulma | Implementation of an efficient random forest library for a python based machine learning framework |
| 09. 05. 2019 | Can Altinigneli | Hierarchical Quick Shift and Neural Networks |
| 28. 03. 2019 | Christina Pacher | Clustering Weather Stations: A Clustering Application for Meteorological Data |
| 16. 01. 2019 | Robert Fritze | Algorithm engineering: Mergesort with SIMD paradigm |
| 16. 01. 2019 | Martin Perdacher | Data Mining Primitives for Modern Hardware |
2018
| Date | Speaker | Title |
|---|---|---|
| 26. 07. 2018 | Ernst Naschenweng | A cache optimized implementation of the Floyd-Warshall Algorithm |
| 19. 07. 2018 | Tatiana Valentina Guy | Lazy Learning for Dynamic Decision Making |
| 07. 06. 2018 | Claus Hofmann | Using Machine Learning Methods for Particle Tracking for the CERN Large Hadron Collider |
| 17. 05. 2018 | Sahar Behzadi Soheil | Knowledge Discovery from Heterogeneous Data: Clustering and Anomaly detection |
| 19. 04. 2018 | Maximilian Leodolter | Expose Presentation: Machine Learning Methods for Time Series Mining with Applications to Trip Reconstruction in Mobility Research |
| 21. 03. 2018 | Raphael Sahann | Study Path Distance Metric |
| 08. 03. 2018 | Saman Paidar Nia | Deep Learning Clustering |
| 01. 03. 2018 | Monika Papolova | A New Biclustering Algorithm Based on Association Rule Mining |
| 01. 03. 2018 | Markus Tschlatscher | Space-filling curves for cache-efficient LU decomposition |
| 01. 02. 2018 | Roman Feldbauer | Hubness: Excessive popularity in music, life, and mobility |
| 25. 01. 2018 | Lukas Miklautz | Kate Autoencoder for low dimensional projections (Master Thesis) |
| 18. 01. 2018 | Benjamin Schelling | Spheres I - The Beginning |
2017
| Date | Speaker | Title |
|---|---|---|
| 07. 12. 2017 | Martin Perdacher | Data Mining Primitives for Modern Hardware |
| 07. 12. 2017 | Benjamin Schelling | The current state of KMN and its future developments |
| 16. 11. 2017 | Sahar Behzadi Soheil | Dependency anomaly detection for heterogeneous time series: A Granger-Lasso approach |
| 09. 11. 2017 | Cherifa Sabrina Amrouche | Clustering with adaptive similarity measure for track reconstruction in particle physics |
| 20. 07. 2017 | Gert Sluiter | Random edge deletion clustering |
| 20. 07. 2017 | Fatemeh Amiri | Soft Computing Techniques in Data Mining |
| 22. 06. 2017 | Maximilian Leodolter | Semi-supervised Segmentation of Accelerometer Time Series for Transport Mode Classification |
| 22. 06. 2017 | Robert Moskovitch | Time Intervals Mining |
| 31. 05. 2017 | Robert Fritze | Combining spatial information and optimization for locating emergency medical service stations: A case study for Lower Austria |
| 17. 05. 2017 | Vera Kurkova | Limitations of shallow neural networks |
| 26. 04. 2017 | Petrina Papazek | Artificial Neuronal Network based Short-Range Wind Speed Forecasts (Master Thesis) |
| 25. 04. 2017 | Milan Palus | Information transfer across time scales |
| 20. 04. 2017 | Martin Perdacher | "Multi-core K-means", Talk for SIAM Data Mining Conference 2017 |
| 23. 03. 2017 | Markus Strauss | Modelling Comorbidities and Complex Phenotypes: A Master's Thesis in Progress. |
| 23. 03. 2017 | Theresa Fruhwürth | Uncovering High Resolution Mass Spectrometry Patterns through Audio Fingerprinting and Periodicity Mining Algorithms: An Exploratory Analysis |
| 17. 01. 2017 | Maximilian Leodolter | Data Mining / Machine Learning of Spatial-Temporal Mobility Data |
| 10. 01. 2017 | Dipl.-Ing. Wolfgang Ecker-Lala | Beschreibung und Analyse unscharfer Daten |
2016
| Date | Speaker | Title |
|---|---|---|
| 06. 12. 2016 | Benjamin Schelling | Levy Walk Clustering: "Hunting for Cluster" |
| 06. 12. 2016 | Sahar Behzadi Soheil | Hybrid Clustering Algorithm |
| 22. 11. 2016 | Martin Perdacher | Cache-oblivious Loops Based on a Novel Space-filling Curve |
| 25. 10. 2016 | Katerina Schindlerova | Estimation of entropy and mutual information |
| 11. 10. 2016 | Martin Perdacher | Archtiecture of Ivanhoe |