Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Markus D. SchirmerArchana VenkataramanIslem RekikMinjeong KimStewart H. MostofskyMary Beth NebelKeri RoschKaren SeymourDeana CrocettiHassna IrzanMichael HütelSébastien OurselinNeil MarlowAndrew MelbourneEgor LevchenkoShuo ZhouMwiza KundaHaiping LuNicha C. DvornekJuntang ZhuangGideon PintoSandip SamalJennings ZhangJorge L. Bernal-RusielRudolph PienaarAi Wern ChungPublished in: Medical Image Anal. (2021)
Keyphrases
- transfer learning
- text classification
- learning tasks
- machine learning
- cross domain
- knowledge transfer
- machine learning algorithms
- cross domain learning
- cross domain text classification
- labeled data
- decision trees
- training set
- reinforcement learning
- semi supervised learning
- document classification
- label information
- class labels
- face recognition
- data sets
- information retrieval
- multi task learning
- structure learning
- human brain
- pattern classification
- feature extraction
- support vector machine
- active learning
- feature vectors
- support vector
- training data
- learning environment
- feature selection
- text mining
- functional magnetic resonance imaging
- transfer knowledge
- manifold alignment
- feature space