| Hyperparameter Search in Machine Learning M Claesen, B De Moor 11th Metaheuristics International Conference, 2015 | 731 | 2015 |
| EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines M Claesen, F De Smet, JAK Suykens, B De Moor Journal of Machine Learning Research 15, 141-145, 2014 | 110 | 2014 |
| Easy hyperparameter search using optunity M Claesen, J Simm, D Popovic, Y Moreau, B De Moor arXiv preprint arXiv:1412.1114, 2014 | 104 | 2014 |
| A robust ensemble approach to learn from positive and unlabeled data using SVM base models M Claesen, F De Smet, J Suykens, B De Moor Neurocomputing 160, 73-84, 2015 | 101 | 2015 |
| Evaluation of distance metrics and spatial autocorrelation in uniform manifold approximation and projection applied to mass spectrometry imaging data T Smets, N Verbeeck, M Claesen, A Asperger, G Griffioen, T Tousseyn, ... Analytical chemistry 91 (9), 5706-5714, 2019 | 89 | 2019 |
| Fast prediction with SVM models containing RBF kernels M Claesen, F De Smet, JAK Suykens, B De Moor arXiv preprint arXiv:1403.0736, 2014 | 70 | 2014 |
| Hyperparameter tuning in python using optunity M Claesen, J Simm, D Popovic, B Moor Proceedings of the international workshop on technical computing for machine …, 2014 | 52 | 2014 |
| Mortality in Individuals Treated with Glucose Lowering Agents: a Large, Controlled Cohort Study M Claesen, P Gillard, F De Smet, M Callens, B De Moor, C Mathieu Journal of Clinical Endocrinology & Metabolism, 0 | 34* | |
| Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning W Zhang, M Claesen, T Moerman, MR Groseclose, E Waelkens, ... Analytical and bioanalytical chemistry 413, 2803-2819, 2021 | 31 | 2021 |
| Hyperparameter search in machine learning. arXiv 2015 M Claesen, B De Moor arXiv preprint arXiv:1502.02127, 2022 | 30 | 2022 |
| Assessing binary classifiers using only positive and unlabeled data M Claesen, J Davis, F De Smet, B De Moor arXiv preprint arXiv:1504.06837, 2015 | 28 | 2015 |
| Hyperparameter search in machine learning. arXiv M Claesen, B De Moor arXiv preprint arXiv:1502.02127, 2015 | 28 | 2015 |
| Hyperparameter Search in Machine Learning; 2015 M Claesen, B De Moor arXiv preprint arXiv:1502.02127 615, 2015 | 20 | 2015 |
| Building classifiers to predict the start of glucose-lowering pharmacotherapy using belgian health expenditure data M Claesen, F De Smet, P Gillard, C Mathieu, B De Moor arXiv preprint arXiv:1504.07389, 2015 | 14 | 2015 |
| Diagnosis of melanoma by imaging mass spectrometry: Development and validation of a melanoma prediction model RN Al‐Rohil, JL Moore, NH Patterson, S Nicholson, N Verbeeck, ... Journal of cutaneous pathology 48 (12), 1455-1462, 2021 | 9 | 2021 |
| Toward Omics-Scale Quantitative Mass Spectrometry Imaging of Lipids in Brain Tissue Using a Multiclass Internal Standard Mixture M Vandenbosch, SM Mutuku, MJQ Mantas, NH Patterson, T Hallmark, ... Analytical Chemistry 95 (51), 18719-18730, 2023 | 3 | 2023 |
| Integration of Multiple Spatial-Omics Modalities Reveals Unique Insights into Molecular Heterogeneity of Prostate Cancer W Zhang, X Spotbeen, S Vanuytven, S Kint, T Sarretto, F Socciarelli, ... bioRxiv, 2023.08. 28.555056, 2023 | 1 | 2023 |
| Hyperparameter Tuning in Python Using Optunity MCJ Simm, DPB De Moor | 1 | 2014 |
| Investigation of Prostate Cancer Heterogeneity Using a Novel Spatial Multi-Omics Pipeline Integrating MS Imaging and Spatial Transcriptomics X Spotbeen, W Zhang, T Sarretto, F Socciarelli, S Vanuytven, S Kint, ... Annual Conference on Mass Spectrometry Imaging and Integrated Topics (IMSIS …, 2023 | | 2023 |
| Omics Scale Quantitative Mass Spectrometry Imaging of Lipids in Brain Tissue using a Multi-Class Internal Standard Mixture M Vandenbosch, SM Mutuku, MJQ Mantas, NH Patterson, T Hallmark, ... bioRxiv, 2023.06. 21.546027, 2023 | | 2023 |
De Moor BartKU Leuven ESAT-StadiusVerified email at esat.kuleuven.be
