Publications

Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, und Sahar Vahdati. Unsupervised feature selection based on variance–covariance subspace distance. Neural Networks, (166):188-203, 2023. [PUMA: Feature Regularization Subspace distance learning selection xack] URL

Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, und André C.P.L.F. de Carvalho. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, (21)1:410–421, Informa UK Limited, März 2024. [PUMA: BioDeepfuse RNA classification deep extraction feature learning non-coding zno] URL

Dimitra Kiakou, Adam Adamopoulos, und 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: Disease Feature Graph-Based Impact Investigating Neuroimaging Prediction Selection learning topic_neuroinspired yaff]

Nishant Kumar, Siniša Šegvić, Abouzar Eslami, und Stefan Gumhold. Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. 2023. [PUMA: Detection Feature Flow Normalizing Object Outlier-Aware Synthesis topic_visualcomputing xack] URL

Christopher Klapproth, Rituparno Sen, Peter F Stadler, Sven Findeiß, und Jörg Fallmann. Common features in lncRNA annotation and classification: A survey. Noncoding RNA, (7)4:77, MDPI AG, Dezember 2021. [PUMA: classification coding extraction feature learning lncRNA machine problems sequence yaff]