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Lodewijk Brand
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Journal Articles
- 2024
- [j4]Lodewijk Brand, Hoon Seo, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang
:
A linear primal-dual multi-instance SVM for big data classifications. Knowl. Inf. Syst. 66(1): 307-338 (2024) - 2021
- [j3]Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang
:
Factor-Bounded Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15(6): 111:1-111:18 (2021) - 2020
- [j2]Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang, Feiping Nie:
Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance. J. Comput. Biol. 27(4): 655-672 (2020) - [j1]Lodewijk Brand
, Kai Nichols
, Hua Wang
, Li Shen
, Heng Huang:
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction. IEEE Trans. Medical Imaging 39(6): 1845-1855 (2020)
Conference and Workshop Papers
- 2022
- [c10]Hoon Seo, Lodewijk Brand, Lucia Saldana Barco, Hua Wang:
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology. ICKG 2022: 225-232 - 2021
- [c9]Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie:
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. AAAI 2021: 522-530 - [c8]Lodewijk Brand, Lauren Zoe Baker, Hua Wang:
A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19. BCB 2021: 44:1-44:6 - [c7]Lodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang:
A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. ICDM 2021: 21-30 - 2020
- [c6]Lodewijk Brand, Braedon O'Callaghan, Anthony Sun, Hua Wang:
Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer's Disease. BIBE 2020: 196-203 - [c5]Hoon Seo, Lodewijk Brand, Hua Wang:
Learning Semi-Supervised Representation Enrichment Using Longitudinal Imaging-Genetic Data. BIBM 2020: 1115-1118 - [c4]Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen:
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. PSB 2020: 7-18 - 2019
- [c3]Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie:
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. IJCAI 2019: 3008-3014 - [c2]Lodewijk Brand
, Xue Yang, Kai Liu
, Saad El Beleidy, Hua Wang
, Hao Zhang:
Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance. RECOMB 2019: 51-67 - 2018
- [c1]Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher
, Andrew J. Saykin, Li Shen:
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. MICCAI (1) 2018: 555-562
Coauthor Index
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