Miguel Monteiro

25 papers A* 3C 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
Digital Product: A Textile Use Case.
ICE/ITMC
José Matos, Adriana Cunha, Adriano Faria, Bruno Vale, Luís Caldas, Miguel Monteiro, Diogo Cunha, Gonçalo Meneses, Ricardo Pinto, Gualter Barros, Guilherme Paixão, Odete Duarte
2024 J jnl
Efficient Static Vulnerability Analysis for JavaScript with Multiversion Dependency Graphs.
Proc. ACM Program. Lang.
Mafalda Ferreira, Miguel Monteiro, Tiago Brito, Miguel E. Coimbra, Nuno Santos, Limin Jia, José Fragoso Santos
2024 C conf
Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches.
IoTBDS
José Cação, Mário Antunes, José Santos, Miguel Monteiro
2023 A* conf
High Fidelity Image Counterfactuals with Probabilistic Causal Models.
ICML
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
2023 J jnl
High Fidelity Image Counterfactuals with Probabilistic Causal Models.
CoRR
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
2023 A* conf
Measuring axiomatic soundness of counterfactual image models.
ICLR
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
2023 J jnl
Measuring axiomatic soundness of counterfactual image models.
CoRR
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
2023 J jnl
Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages.
CoRR
Tiago Brito, Mafalda Ferreira, Miguel Monteiro, Pedro Lopes, Miguel Barros, José Fragoso Santos, Nuno Santos
2023 J jnl
Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages.
IEEE Trans. Reliab.
Tiago Brito, Mafalda Ferreira, Miguel Monteiro, Pedro Lopes, Miguel Barros, José Fragoso Santos, Nuno Santos
2022 — conf
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.
ML4H@NeurIPS
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
2022 J jnl
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.
CoRR
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
2022 — conf
Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury.
MLCN@MICCAI
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
2022 J jnl
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury.
CoRR
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
2022 J jnl
Multispectral vineyard segmentation: A deep learning comparison study.
Comput. Electron. Agric.
Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes
2022 — conf
Safe Roads: an Integration between Twitter and City Sensing.
IOT
Henrique Sousa, Pedro Figueiredo, Daniel Francisco, Miguel Monteiro, Renato Dias, Ana Almeida, Pedro Rito, Susana Sargento
2022 J jnl
Structured Uncertainty in the Observation Space of Variational Autoencoders.
CoRR
James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker
2022 J jnl
Structured Uncertainty in the Observation Space of Variational Autoencoders.
Trans. Mach. Learn. Res.
James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker
2021 J jnl
Active label cleaning: Improving dataset quality under resource constraints.
CoRR
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
2021 J jnl
Multispectral Vineyard Segmentation: A Deep Learning approach.
CoRR
Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes
2021 — conf
Pharmacy Electronic Records and Patient Clustering: Exploring New Ways to Increase the Provision of Tailored Pharmaceutical Services.
MIE
Lígia Reis, Miguel Monteiro, Luís Lourenço, João Gregório
2020 A* conf
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.
NeurIPS
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2020 J jnl
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.
CoRR
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
2019 — conf
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.
BrainLes@MICCAI (1)
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
2018 J jnl
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation.
CoRR
Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira
2018 J jnl
Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients.
IEEE ACM Trans. Comput. Biol. Bioinform.
Miguel Monteiro, Ana Catarina Fonseca, Ana Teresa Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, José M. Ferro, Arlindo L. Oliveira