Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
Markus D. SchirmerArchana VenkataramanIslem RekikMinjeong KimStewart MostofskyMary Beth NebelKeri RoschKaren SeymourDeana CrocettiHassna IrzanMichael HütelSébastien OurselinNeil MarlowAndrew MelbourneEgor LevchenkoShuo ZhouMwiza KundaHaiping LuNicha C. DvornekJuntang ZhuangGideon PintoSandip SamalJorge L. Bernal-RusielRudolph PienaarAi Wern ChungPublished in: CoRR (2020)
Keyphrases
- transfer learning
- text classification
- labeled data
- cross domain learning
- machine learning algorithms
- machine learning
- knowledge transfer
- learning tasks
- cross domain text classification
- active learning
- pattern classification
- supervised learning
- multi task learning
- feature selection
- feature extraction
- class labels
- data sets
- transfer knowledge
- label information
- domain adaptation
- structure learning
- decision trees
- unlabeled data
- support vector
- feature space
- support vector machine
- semi supervised learning
- human brain
- multi task
- reinforcement learning
- cross domain
- learning algorithm
- labeled and unlabeled data
- training set
- manifold alignment
- pairwise
- collaborative filtering
- model selection
- document classification