Zur Wirkung von Hilfefunktionen auf das Online-Shoppingerleben und Shoppingverhalten bei Web-Novizen (Effects of Online Help on Web Novices Shopping Experience and Consumer Behaviour). - Miriam Yom; Thorsten Wilhelm (i-com, 2002)

Nutzungsbarrieren von Mobile-Business-Anwendungen. - J. Wohlfahrt; Thorsten Wilhelm; Miriam Yom (Innovationen im E-Business, 2003)

Erwartungskonforme Webseitengestaltung. - Thorsten Wilhelm; Miriam Yom; Daniela Nusseck (MuC, 2003)

Online-Fokusgruppen als innovative Methode zur nutzerbasierten Beurteilung der Web Usability. - Miriam Yom; Thorsten Wilhelm; Hartmut H. Holzmüller (MuC, 2003)

Site-Covering - A Substitute to Eyetracking? - Thorsten Wilhelm; Miriam Yom; Dorit Beger (i-com, 2003)

WOOS - Ein Messinstrument für die wahrgenommene Orientierung in Online-Shops. - Miriam Yom; Thorsten Wilhelm (MuC, 2004)

Web Usability-Tests mit qualitativen Methoden am Beispiel von Online-Fokusgruppen. - Miriam Yom; Thorsten Wilhelm (i-com, 2004)

Sind Covering-Methoden zur Erfassung der Aufmerksamkeitsverteilung bei der Interaktion mit Web-Seiten geeignet? - Saskia Kain; Knut Polkehn; Thorsten Wilhelm (UP, 2006)

Praxistauglicher Usability-Engineering- Prozess für Corporate-Websites. - Martin Beschnitt; Thorsten Wilhelm (UP, 2008)

Seniorenfreundliche Websitegestaltung am Beispiel von Online-Banking und Versandapotheken im Internet. - Elske Ludewig; Thorsten Wilhelm (UP, 2009)

Flexible Mixture Models for Colour Image Segmentation of Natural Images. - Thorsten Wilhelm; Christian Wöhler (DICTA, 2016)

Simultaneous Surface Segmentation and BRDF Estimation via Bayesian Methods. - Malte Lenoch; Thorsten Wilhelm; Christian Wöhler (VISIGRAPP (4: VISAPP), 2016)

From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling. - Thorsten Wilhelm; Rene Grzeszick; Gernot A. Fink; Christian Wöhler (DICTA, 2017)

Boundary aware image segmentation with unsupervised mixture models. - Thorsten Wilhelm; Christian Wöhler (ICIP, 2017)

On the suitability of different probability distributions for the task of image segmentation. - Thorsten Wilhelm; Christian Wöhler (IVCNZ, 2017)

Improving Bayesian Mixture Models for Colour Image Segmentation with Superpixels. - Thorsten Wilhelm; Christian Wöhler (VISIGRAPP (4: VISAPP), 2017)

Unsupervised Learning of Scene Categories on the Lunar Surface. - Thorsten Wilhelm; René Grzeszick; Gernot A. Fink; Christian Wöhler (VISIGRAPP (5: VISAPP), 2019)

Uncertainty-based image segmentation with unsupervised mixture models. - Thorsten Wilhelm (2019)

Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery. - Dominik Koßmann; Thorsten Wilhelm; Gernot A. Fink (ICPR, 2020)

Uncertainty Guided Recognition of Tiny Craters on the Moon. - Thorsten Wilhelm; Christian Wöhler (ICPR, 2020)

DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars. - Thorsten Wilhelm; Melina Geis; Jens Püttschneider; Timo Sievernich; Tobias Weber; Kay Wohlfarth; Christian Wöhler (Remote. Sens., 2020)

Generation of Attributes for Highly Imbalanced Land Cover Data. - Dominik Koßmann; Thorsten Wilhelm; Gernot A. Fink (IGARSS, 2021)

Land Cover Classification from a Mapping Perspective: Pixelwise Supervision in the Deep Learning Era. - Thorsten Wilhelm; Dominik Koßmann (IGARSS, 2021)

Uncertainty Introduced by Darkening Agents in the Lunar Regolith: An Unmixing Perspective. - Marcel Hess; Thorsten Wilhelm; Christian Wöhler; Kay Wohlfarth (Remote. Sens., 2021)

Image Augmentations in Planetary Science: Implications in Self-Supervised Learning and Weakly-Supervised Segmentation on Mars. - Dominik Koßmann; Arthur Matei; Thorsten Wilhelm; Gernot A. Fink (ICPR, 2022)

Seasonet: A Seasonal Scene Classification, Segmentation and Retrieval Dataset for Satellite Imagery Over Germany. - Dominik Koßmann; Viktor Brack; Thorsten Wilhelm (IGARSS, 2022)

Machine Learning on Mars: Open Challenges, Similarities and Differences to Earth Remote Sensing. - Thorsten Wilhelm; Dominik Koßmann; Christian Wöhler (IGARSS, 2022)

Learning the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images. - Sergej Stepcenkov; Thorsten Wilhelm; Christian Wöhler (Remote. Sens., 2022)