Dmitri Bershadskyy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Deception Detection

Software Engineering Education

Top Venues

Neural Comput. Appl.

Publications

Jacob Krüger, Gül Çalikli, Dmitri Bershadskyy, Siegmar Otto, Sarah Zabel, Robert Heyer
Guidelines for using financial incentives in software-engineering experimentation. Empir. Softw. Eng. 29 (5) (2024)
Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Thorsten Hempel, Ahmed A. Abdelrahman, Joachim Weimann, Dmitri Bershadskyy, Johann Steiner
Exploring facial cues: automated deception detection using artificial intelligence. Neural Comput. Appl. 36 (24) (2024)
Dmitri Bershadskyy, Florian E. Sachs, Joachim Weimann
ChatGPT's financial discrimination between rich and poor - misaligned with human behavior and expectations. CoRR (2024)
Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Thorsten Hempel, Ahmed A. Abdelrahman, Joachim Weimann, Dmitri Bershadskyy
Automated Deception Detection from Videos: Using End-to-End Learning Based High-Level Features and Classification Approaches. CoRR (2023)
Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Ahmed A. Abdelrahman, Joachim Weimann, Dmitri Bershadskyy
Uncovering Lies: Deception Detection in a Rolling-Dice Experiment. ICIAP (1) (2023)
Jacob Krüger, Gül Çalikli, Dmitri Bershadskyy, Robert Heyer, Sarah Zabel, Siegmar Otto
Registered Report: A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation. CoRR (2022)
Ehsan Othman, Frerk Saxen, Dmitri Bershadskyy, Philipp Werner, Ayoub Al-Hamadi, Joachim Weimann
Predicting Group Contribution Behaviour in a Public Goods Game from Face-to-Face Communication. Sensors 19 (12) (2019)