Maximilian Archimedes Xaver Hünemörder

According to our database, Maximilian Archimedes Xaver Hünemörder authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study.

Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix

Adv. Data Anal. Classif., March, 2023

Advances in Unsupervised Learning and Applications: Background knowledge driven subspace clustering, semantic password guessing and learned index structures.

Maximilian Archimedes Xaver Hünemörder

PhD thesis, 2023

A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks.

Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

CoMadOut - A Robust Outlier Detection Algorithm based on CoMAD.

Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder, Peer Kröger

CoRR, 2022

Stirring the Pot - Teaching Reinforcement Learning Agents a "Push-Your-Luck" board game.

Maximilian Hünemörder, Mirjam Raffaela Bayer, Nadine Sarah Schüler, Peer Kröger

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings.

Maximilian Hünemörder, Levin Schäfer, Nadine Sarah Schüler, Michael Eichberg, Peer Kröger

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing.

Maximilian Hünemörder, Peer Kröger, Matthias Renz

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval.

Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl, Peer Kröger

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets.

Andreas Lohrer, Jan Deller, Maximilian Hünemörder, Peer Kröger

Proceedings of the 2021 International Conference on Data Mining, 2021

Implicit Hough Transform Neural Networks for Subspace Clustering.

Julian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, Thomas Seidl

Proceedings of the 2021 International Conference on Data Mining, 2021

2019

On coMADs and Principal Component Analysis.

Daniyal Kazempour, M. A. X. Hünemörder, Thomas Seidl

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge.

Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.

Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019