Berücksichtigung zeitlicher Anforderungen bei der Generierung von Testfällen für den Integrationstest. - Witali Aswolinskiy; Yingfan Lei; Mike Heidrich (Softwaretechnik-Trends, 2008)

RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network. - Witali Aswolinskiy; Gordon Pipa (Frontiers Comput. Neurosci., 2015)

Time Series Classification in Reservoir- and Model-Space: A Comparison. - Witali Aswolinskiy; René Felix Reinhart; Jochen J. Steil (ANNPR, 2016)

Modelling of parameterized processes via regression in the model space. - Witali Aswolinskiy; René Felix Reinhart; Jochen J. Steil (ESANN, 2016)

Modelling of parametrized processes via regression in the model space of neural networks. - Witali Aswolinskiy; René Felix Reinhart; Jochen Jakob Steil (Neurocomputing, 2017)

Modeling Target-Distractor Discrimination for Haptic Search in a 3D Environment. - Alexandra Moringen; Witali Aswolinskiy; Gereon H. Büscher; Guillaume Walck; Robert Haschke; Helge J. Ritter (BioRob, 2018)

Time Series Classification in Reservoir- and Model-Space. - Witali Aswolinskiy; René Felix Reinhart; Jochen J. Steil (Neural Process. Lett., 2018)

Learning in the Model Space of Neural Networks - Witali Aswolinskiy (2018)

Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. - Witali Aswolinskiy; David Tellez; Gabriel Raya; Lieke van der Woude; Monika Looijen-Salamon; Jeroen van der Laak; Katrien Grunberg; Francesco Ciompi (Digital Pathology, 2021)

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. - Niccolò Marini; Stefano Marchesin 001; Sebastian Otálora; Marek Wodzinski; Alessandro Caputo; Mart van Rijthoven; Witali Aswolinskiy; John-Melle Bokhorst; Damian Podareanu; Edyta Petters; Svetla Boytcheva; Genziana Buttafuoco; et al. (npj Digit. Medicine, 2022)

Gigapixel end-to-end training using streaming and attention. - Stephan Dooper; Hans Pinckaers; Witali Aswolinskiy; Konnie M. Hebeda; Sofia Jarkman; Jeroen van der Laak; Geert Litjens 001 (Medical Image Anal., 2023)

Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images. - Nohemí Sofia León Contreras; Clément Grisi; Witali Aswolinskiy; Simona Vatrano; Filippo Fraggetta; Iris Nagtegaal; Marina D'Amato; Francesco Ciompi (ISBI, 2024)

Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning. - Daan J. Geijs; Stephan Dooper; Witali Aswolinskiy; Lisa M. Hillen; Avital L. Amir; Geert Litjens 001 (Medical Image Anal., 2024)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)