Deep Neural Networks and Tabular Data: A Survey by Vadim Borisov, Tobias Leemann, Kathrin Sessler, Johannes Haug, Martin Pawelczyk and Gjergji Kasneci accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees by Artjom Zern, Klaus Broelemann, Gjergji Kasneci accepted at AAAI 2023
I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization by Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle and Gjergji Kasneci was accepted at the NeuIPS22 Workshop on Algorithmic Fairness through the Lens of Causality and Privacy.
On the Trade-Off between Actionable Explanations and the Right to be Forgotten by Martin Pawelczyk, Tobias Leemann, Asia Biega und Gjergji Kasneci was accepted at the NeuIPS22 Workshop on Trustworthy and Socially Responsible Machine Learning.
Change Detection for Local Explainability in Evolving Data Streams by Johannes Haug, Alexander Braun, Stefan Zürn, and Gjergji Kasneci was accepted at CIKM 2022 (github).
Disentangling Embedding Spaces with Minimal Distributional Assumptions by Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci and Gjergji Kasneci was published as a preprint on arXiv.
Regressive Saccadic Eye Movements on Fake News von Efe Bozkir, Gjergji Kasneci, Sonja Utz und Enkelejda Kasneci was accepted at ETRA 2022.
A Constistent and Efficient Evaluation Strategy for Attribution Methods by Yao Rong*, Tobias Leemann*, Vadim Borisov, Gjergji Kasneci and Enkelejda Kasneci was accepted at the International Conference on Machine Learning (ICML) 2022.
Fairness in Agreement with European Values: An Interdisciplinary Perspective on AI Regulation by Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen Marie Scott, Xuan Zhao, Gourab Patro, Gjergji Kasneci, and Katharina Kinder-Kurlanda was accepted at AIES 2022.
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams by Johannes Haug, Effi Tramountani and Gjergji Kasneci was published on arXiv. The corresponding float-evaluation framework (Python) is available at Github or Pypi.
Coherence Evaluation of Visual Concepts with Objects and Language by Tobias Leemann, Yao Rong, Stefan Kraft, Enkelejda Kasneci and Gjergji Kasneci was presented at the ICLR2022 Workshop on Objects, Structure and Causality.
Algorithmic recourse in the face of noisy human responses by Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju was presented at the ICLR2022 on Socially Responsible Machine Learning.
Disentangling Algorithmic Recourse by Martin Pawelczyk, Lea Tiyavorabun and Gjergji Kasneci was presented at the ICLR2022 on Socially Responsible Machine Learning.
Dynamic Model Tree for Interpretable Data Stream Learning by Johannes Haug, Klaus Broelemann and Gjergji Kasneci has been accepted at ICDE 2022 (github).
Do your eye movements reveal your performance on an IQ test? A study linking eye movements and socio-demographic information to fluid intelligence by Enkelejda Kasneci, Gjergji Kasneci, Ulrich Trautwein, Tobias Appel, Maike Tibus, Susanne M. Jaeggi & Peter Gerjets was accepted at the PLOS ONE journal.