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ORCIDKlaus Broelemann
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2020 – today
- 2024
[c18]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. ECAI 2024: 794-801- [c17]Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann:
Standardized Interpretable Fairness Measures for Continuous Risk Scores. ICML 2024 - [i16]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. CoRR abs/2408.14126 (2024) - 2023
- [j7]Vadim Borisov
, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci:
DeepTLF: robust deep neural networks for heterogeneous tabular data. Int. J. Data Sci. Anal. 16(1): 85-100 (2023) - [c16]Artjom Zern, Klaus Broelemann, Gjergji Kasneci:
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. AAAI 2023: 11164-11173 - [c15]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Causal Fairness-Guided Dataset Reweighting using Neural Networks. IEEE Big Data 2023: 1386-1394 - [c14]Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation for Regression via Disentanglement in Latent Space. ICDM (Workshops) 2023: 976-984 - [i15]Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR abs/2303.08081 (2023) - [i14]Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. CoRR abs/2307.13390 (2023) - [i13]Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann:
Interpretable Distribution-Invariant Fairness Measures for Continuous Scores. CoRR abs/2308.11375 (2023) - [i12]Xuan Zhao, Klaus Broelemann, Gjergji Kasneci:
Counterfactual Explanation for Regression via Disentanglement in Latent Space. CoRR abs/2311.08228 (2023) - [i11]Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Causal Fairness-Guided Dataset Reweighting using Neural Networks. CoRR abs/2311.10512 (2023) - [i10]Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci:
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. CoRR abs/2311.12684 (2023) - 2022
- [c13]Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Dynamic Model Tree for Interpretable Data Stream Learning. ICDE 2022: 2562-2574 - [i9]Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Dynamic Model Tree for Interpretable Data Stream Learning. CoRR abs/2203.16181 (2022) - [i8]Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR abs/2210.12369 (2022) - 2021
- [c12]Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci:
SPARROW: Semantically Coherent Prototypes for Image Classification. BMVC 2021: 186 - 2020
- [j6]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:
Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [c11]Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. KDD 2020: 1478-1502 - [c10]Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
On Counterfactual Explanations under Predictive Multiplicity. UAI 2020: 809-818 - [c9]Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Learning Model-Agnostic Counterfactual Explanations for Tabular Data. WWW 2020: 3126-3132 - [i7]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:
Bias in Data-driven AI Systems - An Introductory Survey. CoRR abs/2001.09762 (2020) - [i6]Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. CoRR abs/2006.10398 (2020) - [i5]Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci:
On Counterfactual Explanations under Predictive Multiplicity. CoRR abs/2006.13132 (2020)
2010 – 2019
- 2019
- [c8]Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. IJCAI 2019: 2030-2037 - [i4]Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci:
Towards User Empowerment. CoRR abs/1910.09398 (2019) - 2018
- [i3]Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. CoRR abs/1801.00283 (2018) - [i2]Klaus Broelemann, Gjergji Kasneci:
Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. CoRR abs/1807.10680 (2018) - [i1]Klaus Broelemann, Gjergji Kasneci:
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. CoRR abs/1809.09703 (2018) - 2017
- [j5]Enkelejda Kasneci, Thomas C. Kübler, Klaus Broelemann, Gjergji Kasneci:
Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. Comput. Hum. Behav. 68: 450-455 (2017) - [j4]Klaus Broelemann, Xiaoyi Jiang, Sudipto Mukherjee, Ananda S. Chowdhury:
Variants of k-regular nearest neighbor graph and their construction. Inf. Process. Lett. 126: 18-23 (2017) - [c7]Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. ICDE 2017: 143-146 - 2016
- [j3]Klaus Broelemann, Xiaoyi Jiang, Angela Schwering:
Automatic understanding of sketch maps using context-aware classification. Expert Syst. Appl. 45: 195-207 (2016) - 2014
- [b1]Klaus Broelemann:
Automatic offline understanding of hand-drawn sketch maps. Universität Münster, 2014, pp. 1-145 - [j2]Angela Schwering, Jia Wang, Malumbo Chipofya, Sahib Jan, Rui Li, Klaus Broelemann:
SketchMapia: Qualitative Representations for the Alignment of Sketch and Metric Maps. Spatial Cogn. Comput. 14(3): 220-254 (2014) - 2013
- [c6]Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Lladós:
Hierarchical Plausibility-Graphs for Symbol Spotting in Graphical Documents. GREC 2013: 25-37 - 2012
- [c5]Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Lladós:
Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images. SSPR/SPR 2012: 529-538 - [e1]Jia Wang, Klaus Broelemann, Malumbo Chipofya, Angela Schwering, Jan Oliver Wallgrün:
Understanding and Processing Sketch Maps - Proceedings of the COSIT 2011 Workshop, Belfast, Maine, USA, September 2011. IfGIprints 42, AKA 2012, ISBN 978-3-89838-652-4 [contents] - 2011
- [j1]Xiaoyi Jiang, Klaus Broelemann, Steffen Wachenfeld, Antonio Krüger:
Graph-based markerless registration of city maps using geometric hashing. Comput. Vis. Image Underst. 115(7): 1032-1043 (2011) - [c4]Klaus Broelemann:
A System for Automatic Localization and Recognition of Sketch Map Objects. Understanding and Processing Sketch Maps @ COSIT 2011: 11-20 - [c3]Klaus Broelemann, Xiaoyi Jiang, Angela Schwering:
Automatic Street Graph Construction in Sketch Maps. GbRPR 2011: 275-284 - [c2]Klaus Broelemann, Xiaoyi Jiang:
A Region-Based Method for Sketch Map Segmentation. GREC 2011: 1-14
2000 – 2009
- 2009
- [c1]Steffen Wachenfeld, Klaus Broelemann, Xiaoyi Jiang, Antonio Krüger:
Graph-Based Registration of Partial Images of City Maps Using Geometric Hashing. GbRPR 2009: 92-101
Coauthor Index
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