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Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data.

, and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 297-314. PMLR, (2019)

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Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification.. CoRR, (2016)Multi-Task Learning for Interpretation of Brain Decoding Models., , , and . MLINI@NIPS, volume 9444 of Lecture Notes in Computer Science, page 3-11. Springer, (2014)Gender and emotion recognition with implicit user signals., , , , and . ICMI, page 379-387. ACM, (2017)Movie Genre Classification by Exploiting MEG Brain Signals., , , , and . ICIAP (1), volume 9279 of Lecture Notes in Computer Science, page 683-693. Springer, (2015)DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses., , , , , and . IEEE Trans. Affective Computing, 6 (3): 209-222 (2015)A Novel Scheme for Intelligent Recognition of Pornographic Images., , , , and . CoRR, (2014)Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data., and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 297-314. PMLR, (2019)Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes., and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 127-135. Springer, (2018)Discrete Cosine Transform for MEG Signal Decoding., , and . PRNI, page 132-135. IEEE, (2013)Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders., , , , , , , and . CoRR, (2017)