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Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task.

, , , , and . ICASSP Workshops, page 1-5. IEEE, (2023)

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Function factorization using warped Gaussian processes.. ICML, volume 382 of ACM International Conference Proceeding Series, page 921-928. ACM, (2009)Infinite multiple membership relational modeling for complex networks., , and . MLSP, page 1-6. IEEE, (2011)Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data., , , and . Neural Comput., 29 (10): 2712-2741 (2017)Raman Spectrum Matching with Contrastive Representation Learning., , and . CoRR, (2022)Predictive assessment of models for dynamic functional connectivity., , , and . NeuroImage, (2018)Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks., , , , , and . Mach. Learn. Sci. Technol., 3 (1): 15012 (2022)Completely random measures for modelling block-structured sparse networks., , and . NIPS, page 4260-4268. (2016)Nonparametric statistical structuring of knowledge systems using binary feature matches., , , and . MLSP, page 1-6. IEEE, (2014)Unsupervised segmentation of task activated regions in fMRI., , , and . MLSP, page 1-6. IEEE, (2015)Bayesian latent feature modeling for modeling bipartite networks with overlapping groups., , , and . MLSP, page 1-6. IEEE, (2016)