A hidden Markov model for distinguishing between RFID-tagged objects in adjacent areas. - Matthias Hauser; Matthias Griebel; Frédéric Thiesse (RFID, 2017)

Empowering Smarter Fitting Rooms with RFID Data Analytics. - Matthias Hauser; Matthias Griebel; Jannis Hanke; Frédéric Thiesse (Wirtschaftsinformatik, 2017)

A Picture is Worth More than a Thousand Purchases: Designing an Image-based Fashion Curation System. - Matthias Griebel; Giacomo Welsch; Toni Greif; Christoph Flath (ECIS, 2019)

Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems. - Adrian Krenzer; Nikolai Stein; Matthias Griebel; Christoph Flath (ICIS, 2019)

Applied image recognition: guidelines for using deep learning models in practice. - Matthias Griebel; Alexander Dürr; Nikolai Stein (Wirtschaftsinformatik, 2019)

Predicting Fraudulent initial Coin Offerings using Information Extracted from Whitepapers. - Alexander Dürr; Matthias Griebel; Giacomo Welsch; Frédéric Thiesse (ECIS, 2020)

Augmented Creativity: Leveraging Artificial Intelligence for Idea Generation in the Creative Sphere. - Matthias Griebel; Christoph Flath; Sascha Friesike (ECIS, 2020)

ADR for Big-Data IT Artifact Development: An Escalation Management Example. - Felix Oberdorf; Nikolai Stein; Nicolas Walk; Matthias Griebel; Christoph Flath (ICIS, 2020)

Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2. - Matthias Griebel; Dennis Segebarth; Nikolai Stein; Nina Schukraft; Philip Tovote; Robert Blum; Christoph M. Flath (CoRR, 2021)

Applied Deep Learning: from Data to Deployment. - Matthias Griebel (2022)