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Robert A. Vandermeulen, René Saitenmacher
Generalized Identifiability Bounds for Mixture Models with Grouped Samples
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, J. Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger et al.
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment
Sergey Redyuk, Zoi Kaoudi, Sebastian Schelter, Volker Markl
Assisted design of data science pipelines
Tobias Roeschl, Volkmar Falk, Felix Schoenrath, Alexander Meyer
Reply: miRNAs, Endothelin-1 and Endothelial Glycocalyx Disorders in Shock Severity in Postoperative Cardiac Surgery Patients
Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon & Klaus-Robert Müller et al.
Explainable artificial intelligence in pathology
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Explainable AI for Time Series via Virtual Inspection Layers
Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff et al.