GETAVIZ: Generating Structural, Behavioral, and Evolutionary Views of Software Systems for Empirical Evaluation. - David Baum; Jan Schilbach; Pascal Kovacs; Ulrich W. Eisenecker; Richard Müller 002 (VISSOFT, 2017)

Visualizing Design Erosion: How Big Balls of Mud are Made. - David Baum; Jens Dietrich 001; Craig Anslow; Richard Müller 002 (VISSOFT, 2018)

Visualization and Machine Learning for Data Center Management. - Alina M. Chircu; Eldar Sultanow; David Baum; Christian Koch 009; Matthias Seßler (GI-Jahrestagung (Workshops), 2019)

Automated Failure Modes and Effects Analysis using SysML for Industrial Computer Network Reliability and Cybersecurity. - Myron Hecht; David Baum; Joe Betser (IM, 2019)

Understanding conditional compilation through integrated representation of variability and source code. - David Baum; Christina Sixtus; Lisa Vogelsberg; Ulrich W. Eisenecker (SPLC (B), 2019)

Exploring the Design Space of Aesthetics with the Repertory Grid Technique. - David Baum (GD, 2020)

Fostering Collaboration of Academia and Industry by Open Source Software. - David Baum; Pascal Kovacs; Richard Müller 002 (SE, 2020)

Identifying Usability Issues of Software Analytics Applications in Immersive Augmented Reality. - David Baum; Stefan Bechert; Ulrich W. Eisenecker; Isabelle Meichsner; Richard Müller 002 (VISSOFT, 2020)

A User-centered Approach for Optimizing Information Visualizations. - David Baum; Pascal Kovacs; Ulrich W. Eisenecker; Richard Müller 002 (CoRR, 2020)

Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer. - Zoltan Gorocs; David Baum; Fang Song 004; Kevin de Haan; Hatice Ceylan Koydemir; Yunzhe Qiu; Zilin Cai; Thamira Skandakumar; Spencer Peterman; Miu Tamamitsu; Aydogan Ozcan (CoRR, 2020)

An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning. - Artem Goncharov; Zoltan Gorocs; Ridhi Pradhan; Brian Ko; Ajmal Ajmal; Andrés Rodríguez; David Baum; Marcell Veszpremi; Xilin Yang; Maxime Pindrys; Tianle Zheng; Oliver Wang; et al. (CoRR, 2024)