Klaus Broelemann

45 papers A* 7A 3B 2Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explanation Shift: How Did the Distribution Shift Impact the Model? Trans. Mach. Learn. Res. Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2024	B	`conf`	Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. IEEE Big Data Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2024	A	`conf`	Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. ECAI Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2024	J	`jnl`	Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule. CoRR Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2024	A*	`conf`	Standardized Interpretable Fairness Measures for Continuous Risk Scores. ICML Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann
2023	J	`jnl`	Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation. CoRR Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2023	B	`conf`	Causal Fairness-Guided Dataset Reweighting using Neural Networks. IEEE Big Data Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2023	J	`jnl`	Causal Fairness-Guided Dataset Reweighting using Neural Networks. CoRR Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci
2023	—	`conf`	Counterfactual Explanation for Regression via Disentanglement in Latent Space. ICDM (Workshops) Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023	J	`jnl`	Counterfactual Explanation for Regression via Disentanglement in Latent Space. CoRR Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023	J	`jnl`	Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space. CoRR Xuan Zhao, Klaus Broelemann, Gjergji Kasneci
2023	J	`jnl`	DeepTLF: robust deep neural networks for heterogeneous tabular data. Int. J. Data Sci. Anal. Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci
2023	J	`jnl`	Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions. CoRR Carlos Mougan, Klaus Broelemann, David Masip, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2023	J	`jnl`	Interpretable Distribution-Invariant Fairness Measures for Continuous Scores. CoRR Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann
2023	A*	`conf`	Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. AAAI Artjom Zern, Klaus Broelemann, Gjergji Kasneci
2022	A*	`conf`	Dynamic Model Tree for Interpretable Data Stream Learning. ICDE Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2022	J	`jnl`	Dynamic Model Tree for Interpretable Data Stream Learning. CoRR Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2022	J	`jnl`	Explanation Shift: Detecting distribution shifts on tabular data via the explanation space. CoRR Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
2021	A	`conf`	SPARROW: Semantically Coherent Prototypes for Image Classification. BMVC Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci
2020	J	`jnl`	Bias in Data-driven AI Systems - An Introductory Survey. CoRR 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
2020	J	`jnl`	Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 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
2020	A*	`conf`	Learning Model-Agnostic Counterfactual Explanations for Tabular Data. WWW Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	A*	`conf`	Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. KDD Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	J	`jnl`	Leveraging Model Inherent Variable Importance for Stable Online Feature Selection. CoRR Johannes Haug, Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	A	`conf`	On Counterfactual Explanations under Predictive Multiplicity. UAI Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	J	`jnl`	On Counterfactual Explanations under Predictive Multiplicity. CoRR Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2019	A*	`conf`	A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. IJCAI Klaus Broelemann, Gjergji Kasneci
2019	J	`jnl`	Towards User Empowerment. CoRR Martin Pawelczyk, Johannes Haug, Klaus Broelemann, Gjergji Kasneci
2018	J	`jnl`	A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees. CoRR Klaus Broelemann, Gjergji Kasneci
2018	J	`jnl`	Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. CoRR Klaus Broelemann, Gjergji Kasneci
2018	J	`jnl`	Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery. CoRR Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
2017	J	`jnl`	Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. Comput. Hum. Behav. Enkelejda Kasneci, Thomas C. Kübler, Klaus Broelemann, Gjergji Kasneci
2017	A*	`conf`	LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. ICDE Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
2017	J	`jnl`	Variants of k-regular nearest neighbor graph and their construction. Inf. Process. Lett. Klaus Broelemann, Xiaoyi Jiang, Sudipto Mukherjee, Ananda S. Chowdhury
2016	J	`jnl`	Automatic understanding of sketch maps using context-aware classification. Expert Syst. Appl. Klaus Broelemann, Xiaoyi Jiang, Angela Schwering
2014	—	`—`	Automatic offline understanding of hand-drawn sketch maps. Klaus Broelemann
2014	J	`jnl`	SketchMapia: Qualitative Representations for the Alignment of Sketch and Metric Maps. Spatial Cogn. Comput. Angela Schwering, Jia Wang, Malumbo Chipofya, Sahib Jan, Rui Li, Klaus Broelemann
2013	—	`conf`	Hierarchical Plausibility-Graphs for Symbol Spotting in Graphical Documents. GREC Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Lladós
2012	—	`conf`	Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images. SSPR/SPR Klaus Broelemann, Anjan Dutta, Xiaoyi Jiang, Josep Lladós
2012	—	`ed.`	Understanding and Processing Sketch Maps - Proceedings of the COSIT 2011 Workshop, Belfast, Maine, USA, September 2011. Understanding and Processing Sketch Maps @ COSIT Jia Wang, Klaus Broelemann, Malumbo Chipofya, Angela Schwering, Jan Oliver Wallgrün
2011	—	`conf`	A Region-Based Method for Sketch Map Segmentation. GREC Klaus Broelemann, Xiaoyi Jiang
2011	—	`conf`	A System for Automatic Localization and Recognition of Sketch Map Objects. Understanding and Processing Sketch Maps @ COSIT Klaus Broelemann
2011	—	`conf`	Automatic Street Graph Construction in Sketch Maps. GbRPR Klaus Broelemann, Xiaoyi Jiang, Angela Schwering
2011	J	`jnl`	Graph-based markerless registration of city maps using geometric hashing. Comput. Vis. Image Underst. Xiaoyi Jiang, Klaus Broelemann, Steffen Wachenfeld, Antonio Krüger
2009	—	`conf`	Graph-Based Registration of Partial Images of City Maps Using Geometric Hashing. GbRPR Steffen Wachenfeld, Klaus Broelemann, Xiaoyi Jiang, Antonio Krüger