Multiple Kernel Learning in the Primal for Multimodal Alzheimer’s Disease Classification

Disease Classification ◽

Kernel Learning ◽

Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases

NeuroImage Clinical ◽

10.1016/j.nicl.2017.10.026 ◽

2018 ◽

Vol 17 ◽

pp. 628-641 ◽

Cited By ~ 17

Author(s):

Jane Maryam Rondina ◽

Luiz Kobuti Ferreira ◽

Fabio Luis de Souza Duran ◽

Rodrigo Kubo ◽

Carla Rachel Ono ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Brain Regions ◽

Kernel Learning ◽

Imaging Modalities ◽

Healthy Controls ◽

Structural Imaging ◽

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Nature of Computation and Communication ◽

Computational and Comparative Study on Multiple Kernel Learning Approaches for the Classification Problem of Alzheimer’s Disease

10.1007/978-3-319-46909-6_30 ◽

2016 ◽

pp. 334-341

Author(s):

Ahlam Mallak ◽

◽

Jeonghwan Gwak ◽

Jong-In Song ◽

Sang-Woong Lee

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Comparative Study ◽

Classification Problem ◽

Kernel Learning ◽

Learning Approaches ◽

Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning

Neurocomputing ◽

10.1016/j.neucom.2016.08.041 ◽

2017 ◽

Vol 220 ◽

pp. 98-110 ◽

Cited By ~ 31

Author(s):

Olfa Ben Ahmed ◽

Jenny Benois-Pineau ◽

Michelle Allard ◽

Gwénaëlle Catheline ◽

Chokri Ben Amar

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Kernel Learning ◽

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

A multimodal multiple kernel learning approach to Alzheimer's disease detection

10.1109/mlsp.2016.7738881 ◽

2016 ◽

Cited By ~ 2

Author(s):

Michele Donini ◽

Joao M. Monteiro ◽

Massimiliano Pontil ◽

John Shawe-Taylor ◽

Janaina Mourao-Miranda

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Kernel Learning ◽

Disease Detection ◽

Learning Approach ◽

Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis

Pattern Recognition ◽

10.1016/j.patcog.2018.11.027 ◽

2019 ◽

Vol 88 ◽

pp. 370-382 ◽

Cited By ~ 16

Author(s):

Jialin Peng ◽

Xiaofeng Zhu ◽

Ye Wang ◽

Le An ◽

Dinggang Shen

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Disease Diagnosis ◽

Kernel Learning ◽

Structured Sparsity ◽

Multiple Kernel ◽

Alzheimer’S Disease Diagnosis

Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-020-01140-y ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Thanh-Trung Giang ◽

Thanh-Phuong Nguyen ◽

Dang-Hung Tran

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Case Studies ◽

Kernel Learning ◽

Learning Framework ◽

Robust Subspace Clustering Based on Automatic Weighted Multiple Kernel Learning

Information Sciences ◽

10.1016/j.ins.2021.05.070 ◽

2021 ◽

Author(s):

Guo ◽

Xiaoqian Zhang ◽

Zhigui Liu ◽

Xuqian Xue ◽

Qian Wang ◽

...

Keyword(s):

Subspace Clustering ◽

Kernel Learning ◽

Efficient Multitask Multiple Kernel Learning With Application to Cancer Research

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2021.3052357 ◽

2021 ◽

pp. 1-13

Author(s):

Arezou Rahimi ◽

Mehmet Gonen

Keyword(s):

Cancer Research ◽

Kernel Learning ◽

2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) ◽

Multiple Kernel Learning via Ensemble Artifice in Reproducing Kernel Hilbert Space

10.1109/cyberc49757.2020.00049 ◽

2020 ◽

Author(s):

Kou Lu ◽

Jiajing Zhao ◽

Jianming Zhang ◽

Cheng Qin

Keyword(s):

Hilbert Space ◽

Reproducing Kernel ◽

Reproducing Kernel Hilbert Space ◽

Kernel Learning ◽

Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data

IEEE Access ◽

10.1109/access.2020.3046604 ◽

2021 ◽

Vol 9 ◽

pp. 565-580

Author(s):

Ling Wang ◽

Hongqiao Wang ◽

Guangyuan Fu

Keyword(s):

Imbalanced Data ◽

Kernel Learning ◽