David Baum

According to our database, David Baum authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Jessica C. Ramella-Roman, Michael J. McShane, Aydogan Ozcan

CoRR, 2024

2020

Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer.

Zoltan Gorocs, David Baum, Fang Song, Kevin de Haan, Hatice Ceylan Koydemir, Yunzhe Qiu, Zilin Cai, Thamira Skandakumar, Spencer Peterman, Miu Tamamitsu, Aydogan Ozcan

CoRR, 2020

A User-centered Approach for Optimizing Information Visualizations.

David Baum, Pascal Kovacs, Ulrich W. Eisenecker, Richard Müller

CoRR, 2020

Identifying Usability Issues of Software Analytics Applications in Immersive Augmented Reality.

David Baum, Stefan Bechert, Ulrich W. Eisenecker, Isabelle Meichsner, Richard Müller

Proceedings of the Working Conference on Software Visualization, 2020

Fostering Collaboration of Academia and Industry by Open Source Software.

David Baum, Pascal Kovacs, Richard Müller

Proceedings of the Software Engineering 2020, 2020

Exploring the Design Space of Aesthetics with the Repertory Grid Technique.

David Baum

Proceedings of the Graph Drawing and Network Visualization - 28th International Symposium, 2020

2019

Understanding conditional compilation through integrated representation of variability and source code.

David Baum, Christina Sixtus, Lisa Vogelsberg, Ulrich W. Eisenecker

Proceedings of the 23rd International Systems and Software Product Line Conference, 2019

Automated Failure Modes and Effects Analysis using SysML for Industrial Computer Network Reliability and Cybersecurity.

Myron Hecht, David Baum, Joe Betser

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Visualization and Machine Learning for Data Center Management.

Alina M. Chircu, Eldar Sultanow, David Baum, Christian Koch, Matthias Seßler

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2018

Visualizing Design Erosion: How Big Balls of Mud are Made.

David Baum, Jens Dietrich, Craig Anslow, Richard Müller

Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018

2017

GETAVIZ: Generating Structural, Behavioral, and Evolutionary Views of Software Systems for Empirical Evaluation.

David Baum, Jan Schilbach, Pascal Kovacs, Ulrich W. Eisenecker, Richard Müller

Proceedings of the IEEE Working Conference on Software Visualization, 2017