| Convolutional neural networks for vibrational spectroscopic data analysis J Acquarelli, T van Laarhoven, J Gerretzen, TN Tran, LMC Buydens, ... Analytica chimica acta 954, 22-31, 2017 | 342 | 2017 |
| Spectral-spatial classification of hyperspectral images: Three tricks and a new learning setting J Acquarelli, E Marchiori, LMC Buydens, T Tran, T Van Laarhoven Remote Sensing 10 (7), 1156, 2018 | 61* | 2018 |
| Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data J Acquarelli, T van Laarhoven, GJ Postma, JJ Jansen, A Rijpma, ... Plos one 17 (8), e0268881, 2022 | 13 | 2022 |
| Discovering potential clinical profiles of multiple sclerosis from clinical and pathological free text data with constrained non-negative matrix factorization J Acquarelli, Netherlands Brain Bank, M Bianchini, E Marchiori Applications of Evolutionary Computation: 19th European Conference …, 2016 | 2 | 2016 |
| Convolutional Neural Networks for Spectroscopic Data Analysis J Acquarelli Sl: sn, 2023 | | 2023 |
