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ORCIDMaximilian Archimedes Xaver Hünemörder
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2020 – today
- 2023
[b1]Maximilian Archimedes Xaver Hünemörder:
Advances in Unsupervised Learning and Applications: Background knowledge driven subspace clustering, semantic password guessing and learned index structures. University of Kiel, Germany, 2023- [j1]Theresa Ullmann
, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix:
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. Adv. Data Anal. Classif. 17(1): 211-238 (2023) - [c10]Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger:
A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks. ICCV (Workshops) 2023: 4572-4581 - 2022
- [c9]Maximilian Hünemörder, Levin Schäfer, Nadine Sarah Schüler, Michael Eichberg, Peer Kröger:
SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings. ADMA (2) 2022: 28-42 - [c8]Maximilian Hünemörder, Mirjam Raffaela Bayer, Nadine Sarah Schüler, Peer Kröger:
Stirring the Pot - Teaching Reinforcement Learning Agents a "Push-Your-Luck" board game. CoG 2022: 600-603 - [i1]Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder, Peer Kröger:
CoMadOut - A Robust Outlier Detection Algorithm based on CoMAD. CoRR abs/2211.13314 (2022) - 2021
- [c7]Julian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, Thomas Seidl:
Implicit Hough Transform Neural Networks for Subspace Clustering. ICDM (Workshops) 2021: 441-448 - [c6]Andreas Lohrer, Jan Deller, Maximilian Hünemörder, Peer Kröger:
OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets. ICDM (Workshops) 2021: 991-1000 - [c5]Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl, Peer Kröger:
AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval. LWDA 2021: 145-156 - [c4]Maximilian Hünemörder, Peer Kröger, Matthias Renz:
Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing. SISAP 2021: 95-103
2010 – 2019
- 2019
- [c3]Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl:
CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA. LWDA 2019: 111-114 - [c2]Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl:
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. SISAP 2019: 221-230 - [c1]Daniyal Kazempour, M. A. X. Hünemörder, Thomas Seidl:
On coMADs and Principal Component Analysis. SISAP 2019: 273-280
Coauthor Index
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