David Baum - RankMe

15 papers A 1B 4Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning. CoRR Artem Goncharov, Zoltan Gorocs, Ridhi Pradhan, Brian Ko, Ajmal Ajmal, Andrés Rodríguez, David Baum, Marcell Veszpremi, Xilin Yang, Maxime Pindrys, Tianle Zheng, Oliver Wang, Jessica C. Ramella-Roman, Michael J. McShane, Aydogan Ozcan
2020	J	`jnl`	A User-centered Approach for Optimizing Information Visualizations. CoRR David Baum, Pascal Kovacs, Ulrich W. Eisenecker, Richard Müller
2020	A	`conf`	Exploring the Design Space of Aesthetics with the Repertory Grid Technique. GD David Baum
2020	J	`jnl`	Exploring the Design Space of Aesthetics with the Repertory Grid Technique. CoRR David Baum
2020	—	`conf`	Fostering Collaboration of Academia and Industry by Open Source Software. SE David Baum, Pascal Kovacs, Richard Müller
2020	B	`conf`	Identifying Usability Issues of Software Analytics Applications in Immersive Augmented Reality. VISSOFT David Baum, Stefan Bechert, Ulrich W. Eisenecker, Isabelle Meichsner, Richard Müller
2020	J	`jnl`	Identifying Usability Issues of Software Analytics Applications in Immersive Augmented Reality. CoRR David Baum, Stefan Bechert, Ulrich W. Eisenecker, Isabelle Meichsner, Richard Müller
2020	J	`jnl`	Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer. CoRR Zoltan Gorocs, David Baum, Fang Song, Kevin de Haan, Hatice Ceylan Koydemir, Yunzhe Qiu, Zilin Cai, Thamira Skandakumar, Spencer Peterman, Miu Tamamitsu, Aydogan Ozcan
2019	B	`conf`	Automated Failure Modes and Effects Analysis using SysML for Industrial Computer Network Reliability and Cybersecurity. IM Myron Hecht, David Baum, Joe Betser
2019	J	`jnl`	Understanding Conditional Compilation Through Integrated Representation of Variability and Source Code. CoRR David Baum, Christina Sixtus, Lisa Vogelsberg, Ulrich W. Eisenecker
2019	—	`conf`	Understanding conditional compilation through integrated representation of variability and source code. SPLC (B) David Baum, Christina Sixtus, Lisa Vogelsberg, Ulrich W. Eisenecker
2019	—	`conf`	Visualization and Machine Learning for Data Center Management. GI-Jahrestagung (Workshops) Alina M. Chircu, Eldar Sultanow, David Baum, Christian Koch, Matthias Seßler
2018	B	`conf`	Visualizing Design Erosion: How Big Balls of Mud are Made. VISSOFT David Baum, Jens Dietrich, Craig Anslow, Richard Müller
2018	J	`jnl`	Visualizing Design Erosion: How Big Balls of Mud are Made. CoRR David Baum, Jens Dietrich, Craig Anslow, Richard Müller
2017	B	`conf`	GETAVIZ: Generating Structural, Behavioral, and Evolutionary Views of Software Systems for Empirical Evaluation. VISSOFT David Baum, Jan Schilbach, Pascal Kovacs, Ulrich W. Eisenecker, Richard Müller