Arlindo L. Oliveira

Faculty

machine learning · bioinformatics · computational biology

Publications

2023

Multidisciplinary Perspectives on Artificial Intelligence and the Law

Henrique Sousa Antunes, Pedro Miguel Freitas, Arlindo L. Oliveira, Clara Martins Pereira, Elsa Vaz de Sequeira, Luís Barreto Xavier

Law, governance and technology series book

Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model

Miguel Nobre Menezes, João Lourenço Silva, Beatríz Silva, Tiago Rodrigues, Cláudio Guerreiro, J Guedes, Manuel Oliveira‐Santos, Arlindo L. Oliveira, Fausto J. Pinto

The International Journal of Cardiovascular Imaging journal

Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram

Beatriz Valente Silva, João Marques, Miguel Nobre Menezes, Arlindo L. Oliveira, Fausto J. Pinto

Revista Portuguesa de Cardiologia journal

2022

Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning

Manuel Goulão, Arlindo L. Oliveira

ArXiv.org preprint

COVID-19 Contact Tracing Applications in Portugal: Effectiveness and Privacy Issues

Arlindo L. Oliveira

International series on intelligent systems, control and automation: science and engineering book

Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture

Tiago Gaspar Oliveira, Arlindo L. Oliveira

arXiv (Cornell University) preprint

Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans

Ana Beatriz Vieira, Ana Catarina Fonseca, José M. Ferro, Arlindo L. Oliveira

Lecture notes in computer science book

A blueprint for conscious machines

Arlindo L. Oliveira

Proceedings of the National Academy of Sciences journal

Stenosis Detection in X-ray Coronary Angiography with Deep Neural Networks Leveraged by Attention Mechanisms

Pedro Van Stralen, Dinis L. Rodrigues, Arlindo L. Oliveira, Miguel Nobre Menezes, Fausto J. Pinto

conference

Assessing Policy, Loss and Planning Combinations in Reinforcement Learning Using a New Modular Architecture

Tiago Gaspar Oliveira, Arlindo L. Oliveira

Lecture notes in computer science book

Using Soft Labels to Model Uncertainty in Medical Image Segmentation

João Lourenço Silva, Arlindo L. Oliveira

Lecture notes in computer science book

Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks

Mário Cardoso, André Cavalheiro, Alexandre Borges, Ana Filipa Duarte, A. Soares, Maria João Veloso da Costa Ramos Pereira, Nuno Nunes, Leonardo Azevedo, Arlindo L. Oliveira

ACM Transactions on Spatial Algorithms and Systems journal

Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation

João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues, Beatriz Silva, Fausto J. Pinto, Arlindo L. Oliveira

Lecture notes in computer science book

Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions

Rafael Pedro, Arlindo L. Oliveira

2022 International Joint Conference on Neural Networks (IJCNN) conference

Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance

Miguel Nobre Menezes, João Lourenço-Silva, Beatriz Silva, Tiago Rodrigues, Ana Rita Francisco, Pedro Santos Ferreira, Arlindo L. Oliveira, Fausto J. Pinto

Revista Portuguesa de Cardiologia journal

2021

Graph Neural Networks for Traffic Forecasting

João Rico, José Barateiro, Arlindo L. Oliveira

arXiv (Cornell University) preprint

Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks

Mário Cardoso, André Cavalheiro, Alexandre Secorun Borges, Ana Filipa Duarte, A. Soares, Maria João Veloso da Costa Ramos Pereira, Nuno Nunes, Leonardo Guerreiro Azevedo, Arlindo L. Oliveira

arXiv (Cornell University) preprint

Using Soft Labels to Model Uncertainty in Medical Image Segmentation

João Lourenço Silva, Arlindo L. Oliveira

arXiv (Cornell University) preprint

Combining Off and On-Policy Training in Model-Based Reinforcement\n Learning

Alexandre Borges, Arlindo L. Oliveira

arXiv (Cornell University) preprint

Modelling Neuronal Behaviour with Time Series Regression: Recurrent\n Neural Networks on C. Elegans Data

Gonçalo Mestre, Ruxandra Bărbulescu, Arlindo L. Oliveira, L. Miguel Silveira

arXiv (Cornell University) preprint

Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions

Rafael Pedro, Arlindo L. Oliveira