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Nature|January 8, 2025
Accurate predictions on small data with a tabular foundation modelNoah Hollmann, Samuel Müller, Lennart Purucker, et al.Water Research|July 19, 2013
Phosphate recovery from wastewater using engineered superparamagnetic particles modified with layered double hydroxide ion exchangersAsya Drenkova-Tuhtan, Karl Mandel, Anja Paulus, et al.Neuroimage|June 14, 2020
Machine-learning-based diagnostics of EEG pathologyLukas A W Gemein, Robin T Schirrmeister, Patryk Chrabąszcz, et al.Human Brain Mapping|August 8, 2017
Deep learning with convolutional neural networks for EEG decoding and visualizationRobin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, et al.Biorxiv : the Preprint Server for Biology|April 10, 2026
Transcriptome-based cell type assignment for kidney cell culture modelsMona Schoberth, Samuel Böhm, Oleg Borisov, et al.Medical Image Analysis|November 17, 2022
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modelingIvan Ezhov, Kevin Scibilia, Katharina Franitza, et al.Science (New York, N.Y.)|May 20, 2024
Managing extreme AI risks amid rapid progressYoshua Bengio, Geoffrey Hinton, Andrew Yao, et al.Nature Communications|May 20, 2020
AI for social good: unlocking the opportunity for positive impactNenad Tomašev, Julien Cornebise, Frank Hutter, et al.Artificial Life|April 10, 2020
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research CommunitiesJoel Lehman, Jeff Clune, Dusan Misevic, et al.Pageof 2