Publications black-box black-box parallelization causality CKD communication-efficient corresponding projections deep learning DiSIEM distributed dynamic averaging federated federated causal discovery federated learning flatness generalization interpretable learning theory machine learning medicine nephrology neural networks parallelization relative flatness robustness semi-supervised theory of deep learning transfer learning visual analytics visualization XAI All years 2025202420232022202120202019201820172016201520142013 All types Journal ArticlesProceedings ArticlesPhD ThesesWorkshops All authors Abourayya, Amr Adilova, Linara Ahmadi, Seyed-Ahmad Alves, Victor Andrienko, Gennady Andrienko, Natalia Andriushchenko, Maksym Aqeel, Iram Ayday, Erman Bessani, Alysson Bodic, Pierre Le Boley, Mario Bothe, Sebastian Chen, Siming Dada, Amin Dalleiger, Sebastian Däubener, Sina Deligiannakis, Antonios Dou, Qi Egger, Jan Ferreira, André Fischer, Asja Fischer, Jonas Fischer, Michael Kamp Asja Fitzpatrick, Tim Flouris, Ioannis Garofalakis, Minos Gärtner, Thomas Giatrakos, Nikos Giesselbach, Sven Gou, Liang Gunar Ernis, Michael Kamp Heinrich, Danny Heppe, Lukas Hidalgo, Guillermo Hofmann, Thomas Hou, Yijie Hüger, Fabian Jaggi, Martin Jiang, Meirui Jonske, Enrico Nasca Moon Kim Frederic Kaltenpoth, David Kamp, Michael Keren, Daniel Kim, Moon Kleesiek, Jens Kopp, Christine Krishnan, Sriram Li, Jiancheng Yang Zongwei Zhou Jianning Li, Jianning Li, Xiaoxiao Li, YunMichael Kamp Linara Adilova, Gennady Andrienko Linsner, Florian Manea, Andrei Masud, Avais May, Michael Mian, Osman Missura, Olana Mock, Michael Morik, Katharina Natious, Livin Nensa, Felix Nguyen, Phong H.David Kaltenpoth Osman Mian, Michael Kamp Paurat, Daniel Petzka, Henning Piatkowski, Nico Puladi, Behrus Rao, Bharat Rao, Kanishka Rosenzweig, Julia Salazer, Thomas L Schlicht, Peter Schölkopf, Bernhard Schuster, Assaf Seiffarth, Florian Serur, David Sharfman, Izchak Sheth, Naitik Sicking, Joachim Singh, Sidak Pal Sminchisescu, Cristian Sunr, Dong Thonnard, Olivier Turkay, Cagatay Ullrich, Katrin Vogt, Martin Vreeken, Jilles Wang, Chengshun Wang, Junhong Webb, Geoffrey I. Welke, Pascal Wirtz, Tim Wrobel, Stefan Xue, Xiangyang Yang, Fan Ye, Erasmo Purificato Jielin Feng Xinwu Zhang, Li Zhang, Xiaofei Zhang, Xiaolong Zhou, Zhaoyu Show all2023Michael Kamp Linara Adilova, Gennady AndrienkoRe-interpreting Rules Interpretability Journal Article In: International Journal of Data Science and Analytics, 2023.BibTeX | Tags: interpretable, machine learning, rule learning, XAI@article{adilova2023reinterpreting, title = {Re-interpreting Rules Interpretability}, author = {Linara Adilova, Michael Kamp, Gennady Andrienko, Natalia Andrienko}, year = {2023}, date = {2023-06-30}, urldate = {2023-06-30}, journal = {International Journal of Data Science and Analytics}, keywords = {interpretable, machine learning, rule learning, XAI}, pubstate = {published}, tppubtype = {article} } Close