Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.
Amira SolimanJose R. ChangKobra EtminaniStefan ByttnerAnette DavidssonBegoña Martínez-SanchisValle CamachoMatteo BaucknehtRoxana StegeranMarcus RessnerMarc Agudelo-CifuentesAndrea ChincariniMatthias BrendelAxel RomingerRose BruffaertsRik VandenbergheMilica G. KrambergerMaja TrostNicolas NicastroGiovanni B. FrisoniAfina W. LemstraBart N. M. van BerckelAndrea PilottoAlessandro PadovaniSilvia MorbelliDag AarslandFlavio NobiliValentina GaribottoMiguel Ochoa FigueroaPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- neural network model
- transfer learning
- neural network
- learning tasks
- artificial neural networks
- knowledge transfer
- domain specific
- machine learning
- labeled data
- reinforcement learning
- rbf neural network
- cross domain
- active learning
- collaborative filtering
- transfer knowledge
- semi supervised learning
- manifold alignment
- machine learning algorithms
- text categorization
- information extraction
- domain adaptation
- multi task learning
- text classification
- text mining
- learning algorithm
- target domain
- cross domain learning
- unlabeled data
- general purpose
- feature extraction
- genetic algorithm