Publications

Oliver Kirsten, Martin Bogdan, and Sophie Adama. Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 37-41, 2023. [PUMA: models Consciousness Prediction Syndrome Predictive processing modeling Theory algorithms data learning Information Modeling Complexity Processing Machine Learning Training Neuroscience Measures and Locked-In Zno Signal Computational]

Lummy Maria Monteiro, Joao Saraiva, Rodolfo Toscan, Peter Stadler, Rafael Silva-Rocha, and Ulisses Nunes da Rocha. PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning. Environmental Microbiome, (17)December 2022. [PUMA: microbialdeep bacterial PredicTF: transcription complex prediction learning]

Dimitra Kiakou, Adam Adamopoulos, and Nico Scherf. Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", 223--230, 2022. [PUMA: Neuroimaging Investigating Selection Impact Disease Graph-Based Prediction topic_neuroinspired learning Feature]