Showing 1–14 of 14 results
/ Date/ Name
Jun 18, 2022Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation AlgorithmsNov 25, 2022Application of Molecular Topology to the Prediction of Antioxidant Activity in a Group of Phenolic CompoundsMay 13, 2025Exploring Scotogenic Parameter Spaces and Mapping Uncharted Dark Matter Phenomenology with Multi-Objective Search AlgorithmsMay 15, 2025Unearthing large pseudoscalar Yukawa couplings with Machine LearningNov 19, 2019A Random Clockwork of FlavorMay 19, 2025Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable HyperparametersFeb 27, 2026Machine Learning insights on the Z3 3HDM with Dark MatterJan 18, 2023Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature ReviewJul 17, 2024The ECFA Early-Career Researchers Panel: Report for the year 2023Dec 22, 2023Improving the Design of Linear Controllers for Homogeneous Platooning under DisturbancesJun 19, 2015Nuclear Weapons in Regional Contexts: The Cases of Argentina and BrazilAug 19, 2024How Small is Big Enough? Open Labeled Datasets and the Development of Deep LearningSep 19, 2025The Role of Phase and Spatial Modes in Wave-Induced Plasma TransportAug 18, 2019TwistBytes -- Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision)