Paulo J. G. Lisboa

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women

Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, 2018 .

Detecting the Presence and Concentration of Nitrate in Water Using Microwave Spectroscopy

Olga Korostynska, Andy Shaw, O. Korostynska, 2017, IEEE Sensors Journal.

How to Open a Black Box Classifier for Tabular Data

S. Ortega-Martorell, I. Olier, Paulo J. G. Lisboa, 2023, Algorithms.

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes pdf

Paul Fergus, Denis Reilly, Carl Chalmers, 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women

Paul Fergus, Paulo Lisboa, Carl Chalmers, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours

Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús, 2012, BMC Bioinformatics.

Towards interpretable machine learning for clinical decision support

S. Ortega-Martorell, I. Olier, Paulo J. G. Lisboa, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection

W El-Deredy, P J G Lisboa, Y Huang, 2003, Statistics in medicine.

Assessment of statistical and neural networks methods in NMR spectral classification and metabolite selection

P J Lisboa, S P Kirby, A Vellido, 1998, NMR in biomedicine.

White box radial basis function classifiers with component selection for clinical prediction models

V. Belle, Paulo J. G. Lisboa, 2014, Artif. Intell. Medicine.