Klaus Broelemann

According to our database, Klaus Broelemann authored at least 35 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Standardized Interpretable Fairness Measures for Continuous Risk Scores.

Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule.

Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

DeepTLF: robust deep neural networks for heterogeneous tabular data.

Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci

Int. J. Data Sci. Anal., June, 2023

Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation.

Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci

CoRR, 2023

Interpretable Distribution-Invariant Fairness Measures for Continuous Scores.

Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann

CoRR, 2023

Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space.

Xuan Zhao, Klaus Broelemann, Gjergji Kasneci

CoRR, 2023

Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions.

Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2023

Counterfactual Explanation for Regression via Disentanglement in Latent Space.

Xuan Zhao, Klaus Broelemann, Gjergji Kasneci

Proceedings of the IEEE International Conference on Data Mining, 2023

Causal Fairness-Guided Dataset Reweighting using Neural Networks.

Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci

Proceedings of the IEEE International Conference on Big Data, 2023

Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees.

Artjom Zern, Klaus Broelemann, Gjergji Kasneci

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Explanation Shift: Detecting distribution shifts on tabular data via the explanation space.

Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2022

Dynamic Model Tree for Interpretable Data Stream Learning.

Johannes Haug, Klaus Broelemann, Gjergji Kasneci

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

SPARROW: Semantically Coherent Prototypes for Image Classification.

Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Bias in data-driven artificial intelligence systems - An introductory survey.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

WIREs Data Mining Knowl. Discov., 2020

Bias in Data-driven AI Systems - An Introductory Survey.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2020

Learning Model-Agnostic Counterfactual Explanations for Tabular Data.

Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

On Counterfactual Explanations under Predictive Multiplicity.

Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Leveraging Model Inherent Variable Importance for Stable Online Feature Selection.

Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Towards User Empowerment.

Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci

CoRR, 2019

A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees.

Klaus Broelemann, Gjergji Kasneci

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery.

Klaus Broelemann, Gjergji Kasneci

CoRR, 2018

Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery.

Klaus Broelemann, Thomas Gottron, Gjergji Kasneci

CoRR, 2018

2017

Variants of k-regular nearest neighbor graph and their construction.

Klaus Broelemann, Xiaoyi Jiang, Sudipto Mukherjee, Ananda S. Chowdhury

Inf. Process. Lett., 2017

Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth.

Enkelejda Kasneci, Thomas C. Kübler, Klaus Broelemann, Gjergji Kasneci

Comput. Hum. Behav., 2017

LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines.

Klaus Broelemann, Thomas Gottron, Gjergji Kasneci

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Automatic understanding of sketch maps using context-aware classification.

Klaus Broelemann, Xiaoyi Jiang, Angela Schwering

Expert Syst. Appl., 2016

2014

SketchMapia: Qualitative Representations for the Alignment of Sketch and Metric Maps.

Angela Schwering, Jia Wang, Malumbo Chipofya, Sahib Jan, Rui Li, Klaus Broelemann

Spatial Cogn. Comput., 2014

Automatic offline understanding of hand-drawn sketch maps.

Klaus Broelemann

PhD thesis, 2014

2013

Hierarchical Plausibility-Graphs for Symbol Spotting in Graphical Documents.

Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Lladós

Proceedings of the Graphics Recognition. Current Trends and Challenges, 2013

2012

Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images.

Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Lladós

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011

Graph-based markerless registration of city maps using geometric hashing.

Xiaoyi Jiang, Klaus Broelemann, Steffen Wachenfeld, Antonio Krüger

Comput. Vis. Image Underst., 2011

A Region-Based Method for Sketch Map Segmentation.

Klaus Broelemann, Xiaoyi Jiang

Proceedings of the Graphics Recognition. New Trends and Challenges, 2011

Automatic Street Graph Construction in Sketch Maps.

Klaus Broelemann, Xiaoyi Jiang, Angela Schwering

Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

A System for Automatic Localization and Recognition of Sketch Map Objects.

Klaus Broelemann

Proceedings of the Understanding and Processing Sketch Maps, 2011

2009

Graph-Based Registration of Partial Images of City Maps Using Geometric Hashing.

Steffen Wachenfeld, Klaus Broelemann, Xiaoyi Jiang, Antonio Krüger

Proceedings of the Graph-Based Representations in Pattern Recognition, 2009