Learning without Looking: Similarity Preserving Hashing and Its Potential for Machine Learning in Privacy Critical Domains. - Marian Eleks; Jonas Rebstadt; Philipp Fukas; Oliver Thomas 001 (GI-Jahrestagung, 2022)

Proposing a Roadmap for Designing Non-Discriminatory ML Services: Preliminary Results from a Design Science Research Project. - Henrik Kortum; Philipp Fukas; Jonas Rebstadt; Marian Eleks; Marjan Nobakht Galehpardsari; Oliver Thomas 001 (Wirtschaftsinformatik, 2022)

Tell Me and I Forget, Involve Me and I Learn: Design and Evaluation of a Multimodal Conversational Agent for Supporting Distance Learning. - Julian Schuir; Eduard Anton; Marian Eleks; Frank Teuteberg (Wirtschaftsinformatik, 2022)

Privacy Aware Processing. - Marian Eleks; Jonas Rebstadt; Henrik Kortum; Oliver Thomas 001 (GI-Jahrestagung, 2023)

SECAI - Sustainable Heating through Edge-Cloud-based AI Systems. - Henrik Kortum; Simon Hagen; Marian Eleks; Jonas Rebstadt; Florian Remark; Maximilian Lowin; Cristina Mihale-Wilson; Birgid Eberhardt; Andree Roß; Dominik Maihöfner; Oliver Hinz; Oliver Thomas 001 (HMD Prax. Wirtsch., 2023)

Privacy, Utility, Effort, Transparency and Fairness: Identifying and Swaying Trade-offs in Privacy Preserving Machine Learning through Hybrid Methods. - Marian Eleks; Ihler Jakob; Jonas Rebstadt; Henrik Kortum-Landwehr; Oliver Thomas 001 (INFORMATIK, 2024)

I don't know who you are, but I know what you need: Guidelines for Federated Learning in Educational Recommender Systems. - Enrico Kochon; Daniel Stattkus; Simon Binz; Marian Eleks; Nils Lauinger; Philipp Fukas; Ann-Kristin Claudia Müller; Julia Knopf; Oliver Thomas 001 (Wirtschaftsinformatik, 2024)