João M. Monteiro

According to our database, João M. Monteiro authored at least 12 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2020

Extracting Relational Explanations From Deep Neural Networks: A Survey From a Neural-Symbolic Perspective.

Joseph Townsend, Thomas Chaton, João M. Monteiro

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.

Michele Donini, João M. Monteiro, Massimiliano Pontil, Tim Hahn, Andreas J. Fallgatter, John Shawe-Taylor, Janaina Mourão Miranda

NeuroImage, 2019

2018

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models.

Jessica Schrouff, João M. Monteiro, Liana Catarina Lima Portugal, Maria J. Rosa, Christophe Phillips, Janaina Mourão Miranda

Neuroinformatics, 2018

A Tutorial on Canonical Correlation Methods.

Viivi Uurtio, João M. Monteiro, Jaz S. Kandola, John Shawe-Taylor, Delmiro Fernandez-Reyes, Juho Rousu

ACM Comput. Surv., 2018

Prototyping and Programming a Multipurpose Educational Mobile Robot - NaSSIE.

Vítor H. Pinto, João M. Monteiro, José Gonçalves, Paulo Costa

Proceedings of the Robotics in Education, 2018

HealthTalks - A Mobile App to Improve Health Communication and Personal Information Management.

João M. Monteiro, Carla Teixeira Lopes

Proceedings of the 2018 Conference on Human Information Interaction and Retrieval, 2018

2017

Predictive modelling using neuroimaging data in the presence of confounds.

Anil Rao, João M. Monteiro, Janaina Mourão Miranda, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, 2017

2016

Prediction of clinical scores from neuroimaging data with censored likelihood gaussian processes.

Anil Rao, João M. Monteiro, Janaina Mourão Miranda

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

A multimodal multiple kernel learning approach to Alzheimer's disease detection.

Michele Donini, João M. Monteiro, Massimiliano Pontil, John Shawe-Taylor, Janaina Mourão Miranda

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models.

Anil Rao, Joao M. Monteiro, John Ashburner, Liana Catarina Lima Portugal, Orlando Fernandes Junior, Leticia de Oliveira, Mirtes Pereira, Janaina Mourão Miranda

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Multivariate Effect Ranking via Adaptive Sparse PLS.

Joao M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

Leveraging Clinical Data to Enhance Localization of Brain Atrophy.

João M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão Miranda

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014