Miguel Monteiro

According to our database, Miguel Monteiro authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Static Vulnerability Analysis for JavaScript with Multiversion Dependency Graphs.

Mafalda Ferreira, Miguel Monteiro, Tiago Brito, Miguel E. Coimbra, Nuno Santos, Limin Jia, José Fragoso Santos

Proc. ACM Program. Lang., 2024

Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches.

José Cação, Mário Antunes, José Santos, Miguel Monteiro

Proceedings of the 9th International Conference on Internet of Things, 2024

2023

Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages.

Tiago Brito, Mafalda Ferreira, Miguel Monteiro, Pedro Lopes, Miguel Barros, José Fragoso Santos, Nuno Santos

IEEE Trans. Reliab., December, 2023

High Fidelity Image Counterfactuals with Probabilistic Causal Models.

Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker

Proceedings of the International Conference on Machine Learning, 2023

Measuring axiomatic soundness of counterfactual image models.

Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Structured Uncertainty in the Observation Space of Variational Autoencoders.

James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker

Trans. Mach. Learn. Res., 2022

Multispectral vineyard segmentation: A deep learning comparison study.

Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes

Comput. Electron. Agric., 2022

Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.

Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker

Proceedings of the Machine Learning for Health, 2022

Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury.

Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia M. Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Safe Roads: an Integration between Twitter and City Sensing.

Henrique Sousa, Pedro Figueiredo, Daniel Francisco, Miguel Monteiro, Renato Dias, Ana Almeida, Pedro Rito, Susana Sargento

Proceedings of the 12th International Conference on the Internet of Things, 2022

2021

Active label cleaning: Improving dataset quality under resource constraints.

Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem Can Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya V. Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

CoRR, 2021

Multispectral Vineyard Segmentation: A Deep Learning approach.

Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes

CoRR, 2021

Pharmacy Electronic Records and Patient Clustering: Exploring New Ways to Increase the Provision of Tailored Pharmaceutical Services.

Lígia Reis, Miguel Monteiro, Luís Lourenço, João Gregório

Proceedings of the Public Health and Informatics, 2021

2020

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.

Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.

Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients.

Miguel Monteiro, Ana Catarina Fonseca, Ana Teresa Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, José M. Ferro, Arlindo L. Oliveira

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation.

Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira

CoRR, 2018