Assistant Professorship for Intelligent Information Systems

Deep Learning in der Landwirtschaft – Analyse eines Weinbergs (2021) Zschech P, Heinrich K, Möller B, Breithaupt L, Maresch J, Roth A Book chapter / Article in edited volumes Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning (2021) Heinrich K, Zschech P, Janiesch C, Bonin M Journal article A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems (2021) Zschech P, Walk J, Heinrich K, Vössing M, Kühl N Conference contribution Data Science and Analytics in Industrial Maintenance: Selection, Evaluation, and Application of Data-Driven Methods (2020) Zschech P Thesis Intelligent User Assistance for Automated Data Mining Method Selection (2020) Zschech P, Horn R, Hoeschele D, Janiesch C, Heinrich K Journal article Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten (2020) Heinrich K, Zschech P, Janiesch C, Bonin M Conference contribution Review and Systematization of Solutions for 3D Object Detection (2020) Friederich J, Zschech P Conference contribution How Much AI Do You Require? Decision Factors for Adopting AI Technology (2020) Wanner J, Heinrich K, Janiesch C, Zschech P Conference contribution White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems (2020) Wanner J, Herm LV, Heinrich K, Janiesch C, Zschech P Conference contribution Fool Me Once, Shame On You, Fool Me Twice, Shame On Me: A Taxonomy of Attack and Defense Patterns for AI Security (2020) Heinrich K, Graf J, Chen J, Laurisch J, Zschech P Conference contribution