Lodewijk Brand
Orcid: 0000-0001-6296-2895
According to our database1,
Lodewijk Brand
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Knowl. Inf. Syst., January, 2024
2022
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction.
IEEE Trans. Medical Imaging, 2020
Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance.
J. Comput. Biol., 2020
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance.
Proceedings of the Research in Computational Molecular Biology, 2019
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018