Exploring Potentials and Challenges of Blockchain-based Public Key Infrastructures. - Thomas Hepp; Fabian Spaeh; Alexander Schönhals; Philip Ehret; Bela Gipp (INFOCOM Workshops, 2019)

Global Evaluation for Decision Tree Learning. - Fabian Spaeh; Sven Kosub (CoRR, 2022)

Online Ad Allocation with Predictions. - Fabian Spaeh; Alina Ene (NeurIPS, 2023)

Learning Mixtures of Markov Chains with Quality Guarantees. - Fabian Spaeh; Charalampos E. Tsourakakis (WWW, 2023)

Online and Streaming Algorithms for Constrained k-Submodular Maximization. - Fabian Spaeh; Alina Ene; Huy L. Nguyen (CoRR, 2023)

Wiser than the Wisest of Crowds: The Asch Effect and Polarization Revisited. - Dragos Ristache; Fabian Spaeh; Charalampos E. Tsourakakis (ECML/PKDD (5), 2024)

Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures. - Fabian Spaeh; Charalampos E. Tsourakakis (WWW, 2024)

ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via Hitting Times. - Fabian Spaeh; Konstantinos Sotiropoulos; Charalampos E. Tsourakakis (CoRR, 2024)

Wiser than the Wisest of Crowds: The Asch Effect Revisited under Friedkin-Johnsen Opinion Dynamics. - Dragos Ristache; Fabian Spaeh; Charalampos E. Tsourakakis (CoRR, 2024)

Online and Streaming Algorithms for Constrained k-Submodular Maximization. - Fabian Christian Spaeh; Alina Ene; Huy Nguyen (AAAI, 2025)

Countering Election Sway: Strategic Algorithms in Friedkin-Johnsen Dynamics. - Dragos Ristache; Fabian Spaeh; Charalampos E. Tsourakakis (CoRR, 2025)

An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale. - Fabian Spaeh; Atsushi Miyauchi 001 (CoRR, 2025)