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Reliable machine learning – Methods and applications in environmental sciences

The blueprints of self-organisation

Generating point sets of small star discrepancy

Multi-objective autoML: Towards accurate and robust neural networks

Designing new metaheuristics: Manual versus automatic approaches

Modeling Rac1 dynamics: Insights into cellular movement and internal mechanics

ML model reliability from a dataset perspective

Modelling the collapse of complex societies

Umetna inteligenca in znanstvena odkritja: paradigme, napredek in potencial

Transitions in probabilistic inference - From recommender systems to equation discovery

Your data is not i.i.d.: Learning from data streams