Janaina Mourão Miranda
Orcid: 0000-0002-3309-8441
According to our database1,
Janaina Mourão Miranda
authored at least 47 papers
between 2003 and 2022.
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Bibliography
2022
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets.
NeuroImage, 2022
2020
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
NeuroImage, 2020
2019
Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.
NeuroImage, 2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models.
Neuroinformatics, 2018
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis.
CoRR, 2018
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
2017
NeuroImage, 2017
Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients.
NeuroImage, 2017
Decoding negative affect personality trait from patterns of brain activation to threat stimuli.
NeuroImage, 2017
2016
Prediction of clinical scores from neuroimaging data with censored likelihood gaussian processes.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
2014
Correction to "SCoRS - A Method Based on Stability for Feature Selection and Mapping in Neuroimaging".
IEEE Trans. Medical Imaging, 2014
SCoRS - A Method Based on Stability for Feature Selection and Apping in Neuroimaging.
IEEE Trans. Medical Imaging, 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
2013
Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
2011
Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine.
NeuroImage, 2011
Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods.
NeuroImage, 2011
A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
2010
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.
NeuroImage, 2010
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.
NeuroImage, 2010
Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach.
NeuroImage, 2010
2009
Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction.
NeuroImage, 2009
Corrigendum to "Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction": [NeuroImage 46 (2009) 105-114].
NeuroImage, 2009
Dynamic Changes in the Mental Rotation Network Revealed by Pattern Recognition Analysis of fMRI Data.
J. Cogn. Neurosci., 2009
2008
2007
NeuroImage, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data.
NeuroImage, 2006
2005
Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data.
NeuroImage, 2005
2003
Contributions of stimulus valence and arousal to visual activation during emotional perception.
NeuroImage, 2003