Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring. - Marc Schmitt 001 (CoRR, 2022)

Mobile Security for the modern CEO: Attacks, Mitigations, and Future Trends. - Marc Schmitt 001 (CoRR, 2022)

Deep learning in business analytics: A clash of expectations and reality. - Marc Schmitt 001 (Int. J. Inf. Manag. Data Insights, 2023)

Automated machine learning: AI-driven decision making in business analytics. - Marc Schmitt 001 (Intell. Syst. Appl., 2023)

Securing the digital world: Protecting smart infrastructures and digital industries with artificial intelligence (AI)-enabled malware and intrusion detection. - Marc Schmitt 001 (J. Ind. Inf. Integr., 2023)

Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering. - Marc Schmitt 001 (CoRR, 2024)

Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations. - Mario Truss; Marc Schmitt 001 (CoRR, 2024)

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer. - Marc Schmitt 001 (CoRR, 2024)

Digital deception: generative artificial intelligence in social engineering and phishing. - Marc Schmitt 001; Ivan Flechais (Artif. Intell. Rev., 2024)

Cyber Shadows: Neutralizing Security Threats With AI and Targeted Policy Measures. - Marc Schmitt 001; Pantelis Koutroumpis (IEEE Trans. Artif. Intell., 2025)