| Edge-convolution point net for semantic segmentation of large-scale point clouds J Contreras, J Denzler IGARSS 2019-2019 IEEE international geoscience and remote sensing symposium …, 2019 | 30 | 2019 |
| An improved variant of the conventional harmony search algorithm J Contreras, I Amaya, R Correa Applied Mathematics and Computation 227, 821-830, 2014 | 23 | 2014 |
| Siamese networks for clinically relevant bacteria classification based on Raman spectroscopy J Contreras, S Mostafapour, J Popp, T Bocklitz Molecules 29 (5), 1061, 2024 | 6 | 2024 |
| Region-based edge convolutions with geometric attributes for the semantic segmentation of large-scale 3-D point clouds J Contreras, S Sickert, J Denzler IEEE journal of selected topics in applied earth observations and remote …, 2020 | 5 | 2020 |
| Endomicroscopic AI-driven morphochemical imaging and fs-laser ablation for selective tumor identification and selective tissue removal M Calvarese, E Corbetta, J Contreras, H Bae, C Lai, K Reichwald, ... Science Advances 10 (50), eado9721, 2024 | 2 | 2024 |
| Explainable artificial intelligence for spectroscopy data: a review J Contreras, T Bocklitz Pflügers Archiv-European Journal of Physiology, 1-13, 2024 | 2 | 2024 |
| Agnostic eXplainable Artificial Intelligence (XAI) Method Based on Volterra Series J Contreras, T Bocklitz 12th International Conference on Pattern Recognition Applications and …, 2023 | 2 | 2023 |
| Automatically estimating forestal characteristics in 3D point clouds using deep learning J Contreras, J Denzler, S Sickert | 2 | 2019 |
| Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis J Contreras, A Winterfeld, J Popp, T Bocklitz Analytical Chemistry 96 (39), 15588-15597, 2024 | 1 | 2024 |
| Enhancing decision confidence in AI using Monte Carlo dropout for Raman spectra classification J Contreras, T Bocklitz Analytica Chimica Acta 1332, 343346, 2024 | | 2024 |
| Spectral zones based SHAP: enhancing interpretability in spectral deep learning models J Contreras, T Bocklitz Data Science for Photonics and Biophotonics, PC130110A, 2024 | | 2024 |
| Recent innovations in signal and image processing and data analysis in Raman spectroscopy O Ryabchykov, D Cialla-May, A Silge, S Mostafapour, A Mokari, R Luo, ... Biophotonics and Biosensing, 391-416, 2024 | | 2024 |