The Quest for the Golden Activation Function. - Mina Basirat; Peter M. Roth (CoRR, 2018)

Learning Task-specific Activation Functions using Genetic Programming. - Mina Basirat; Peter M. Roth (VISIGRAPP (5: VISAPP), 2019)

L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization. - Mina Basirat; Peter M. Roth (WACV, 2020)

S*ReLU: Learning Piecewise Linear Activation Functions via Particle Swarm Optimization. - Mina Basirat; Peter M. Roth (VISIGRAPP (5: VISAPP), 2021)

A Geometric Perspective on Information Plane Analysis. - Mina Basirat; Bernhard C. Geiger; Peter M. Roth (Entropy, 2021)

Learning Non-linear White-box Predictors: A Use Case in Energy Systems. - Sandra Wilfling; Masoud Ebrahimi; Qamar Alfalouji; Gerald Schweiger; Mina Basirat (ICMLA, 2022)

Evaluation of Efficient AI for the Edge: Insights from Deep Neural Networks Model Compression Techniques Applied to Occupancy Detection. - Mina Basirat; Franz Wotawa (IEA/AIE (1), 2025)