Staff

learning classifiers, data streams with concept drift, explaining machine learning models, learning from imbalanced classes, analysis of evaluation measures

computer vision, program synthesis, machine learning, neurosymbolic systems, evolutionary computation, medical imaging

optimization, evolutionary algorithms, simulation, artificial life, evolution, complex adaptive systems, multi-agent systems, machine learning, games

neurocybernetics, spiking neural networks, neuromorphic computing, integrated circuits, edge systems, soft robotics

machine learning, classifier evaluation measures, imbalanced and complex datasets, data streams, concept drift, classifier ensembles, X-ray crystallography, bioinformatics

machine learning theory, online learning, preference learning, loss functions and performance metrics

optimization, linear programming, process mining, data-based synthesis of computational models, data-based discovery of process models, data-based synthesis of computer programs, evolutionary algorithms, genetic programming

machine learning, rule evaluation measures, classifier evaluation measures, properties of evaluation measures and their visualization

program synthesis, genetic programming, formal verification

neurocybernetics, hardware acceleration, edge systems, integrated circuit design, FPGA

natural language processing, explainability of deep learning models

neurosymbolic learning and reasoning, learning complex structures, knowledge graphs, the Semantic Web, process mining

optimization-oriented (functional) KPI forecasting reduced to regression, multivariate forecasting reduced to regression, optimization (including calibration) of predictive scoring of confidence of LLMs  for selective prediction

neurosymbolic program synthesis, vision and generative models, scene understanding, reasoning by analogies and abstractions

evolutionary algorithms, multi-agent systems, simulation, artificial life, cognitive science, human-computer interaction

evolutionary algorithms, metaheuristic optimization methods, artificial life

security, system firmware, hardware acceleration

machine learning, multi-label and extreme classification, reinforcement learning

representation Learning, abstract and visual reasoning, self-supervised learning, explainable and interpretable AI

machine learning, generative models, neurosymbolic systems, computer vision

neurosymbolic systems, program synthesis, machine learning, computer vision, xAI