Privatissimum - Archive

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