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Random Forests

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…methods, partial least squares and random forests for metabolomic matrices. Sessions: 16,

Nov 16–20, 2026

Workshop · Metabolomics

…and preprocessing to decision trees, random forests and gradient boosting. Practical work covers cross-validation, hyperparameter tuning, regression and clustering, with model-building demonstrations, live coding, quizzes and individual or group exercises. Participants should already be comfortable with R, basic data analysis and statistics; machine-learning experience is not required. Sessions on 8, 15, 22 and 29 January 2027, 16:00–19:30 Ma

Jan 8–29, 2027

Workshop · Machine Learning

Predicting memory performances in humans using cortically distributed sEEG signals

Ana Reinartz Groba, Eis Annavini, Pouya Farivar et al. · FENS Forum 2024

Both the formation and retrieval of episodic memories are closely associated with the activation of the hippocampal complex and medial temporal lobe (MTL) areas. These areas however are not sufficient by themselves to support most episodic memory functions. Instead, MTL areas are embedded as a central hub into a more distributed cortical network that supports both the storing, consolidation and subsequent reactivation of memories. Recently emerging evidence however indicates that cortical areas like posterior parietal regions and prefrontal areas contribute more to the processes than previousl

ePoster · Neuroscience