The role of prefrontal spatial coding in supporting a contextual association task
A.D. Cumpelik, The Role of Prefrontal Spatial Coding in Supporting a Contextual Association Task, Institute of Science and Technology Austria, 2025.

Learning deposition policies for fused multi-material 3D printing
K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, V. Babaei, in:, 2023 IEEE International Conference on Robotics and Automation, IEEE, 2023, pp. 12345–12352.

Fairness-aware PAC learning from corrupted data
N.H. Konstantinov, C. Lampert, Journal of Machine Learning Research 23 (2022) 1–60.

Robustness and fairness in machine learning
N.H. Konstantinov, Robustness and Fairness in Machine Learning, Institute of Science and Technology Austria, 2022.

Learning verifiable representations
M. Lechner, Learning Verifiable Representations, Institute of Science and Technology Austria, 2022.

High-Resolution localization and quantitation of membrane proteins by SDS-digested freeze-fracture replica labeling (SDS-FRL)
W. Kaufmann, D. Kleindienst, H. Harada, R. Shigemoto, in:,  Receptor and Ion Channel Detection in the Brain, Humana, New York, 2021, pp. 267–283.

Determining surface rotation periods of solar-like stars observed by the Kepler mission using machine learning techniques
S.N. Breton, L.A. Bugnet, A.R.G. Santos, A.L. Saux, S. Mathur, P.L. Palle, R.A. Garcia, ArXiv (n.d.).

Automatic classification of K2 pulsating stars using machine learning techniques
A.L. Saux, L.A. Bugnet, S. Mathur, S.N. Breton, R.A. Garcia, ArXiv (n.d.).