Paulo Lisboa

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 18

Top Topics

Machine Learning

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Trans. Emerg. Top. Comput. Intell. 5 (6) (2021)
Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo Lisboa
The partial response SVM. ESANN (2021)
Paulo Lisboa, Sascha Saralajew, Alfredo Vellido, Thomas Villmann
The Coming of Age of Interpretable and Explainable Machine Learning Models. ESANN (2021)
Jade Hind, Paulo Lisboa, Abir Jaafar Hussain, Dhiya Al-Jumeily
A Novel Approach to Detecting Epistasis using Random Sampling Regularisation. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. IDEAL (2) (2019)
Meenal Srivastava, Iván Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell
Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. WSOM+ (2019)
Daniela Montilla-Trochez, Rodrigo Salas, Alejandro Bertin, Inga Griskova-Bulanova, Paulo Lisboa, Carolina Saavedra
Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses. CRoNe (2019)
Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. CoRR (2019)
Davide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido
Societal Issues in Machine Learning: When Learning from Data is Not Enough. ESANN (2019)
Patrick Riley, Iván Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell
A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. WSOM+ (2019)
Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
Bioinformatics and medicine in the era of deep learning. ESANN (2018)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC (2018)
Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. CoRR (2018)
Chelsea Dobbins, Stephen Fairclough, Paulo Lisboa, Félix Fernando González-Navarro
A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices. PerCom Workshops (2018)
Natasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lisboa, Jade Hind, Haya Al-Askar
Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning. CEC (2018)
Jade Hind, Abir Hussain, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Carl Chalmers, Paulo Lisboa
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD). DeSE (2018)
Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. CEC (2018)
Héctor Ruiz, Paulo Lisboa, Paul Neilson, Warren Gregson
Measuring scoring efficiency through goal expectancy estimation. ESANN (2015)
Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi, Paulo Lisboa
Hybrid Neural Network Predictive-Wavelet Image Compression System. Neurocomputing 151 (2015)
Victor Mocioiu, Sandra Ortega-Martorell, Iván Olier, Michal Jablonski, Jana Starcuková, Paulo Lisboa, Carles Arús, Margarida Julià-Sapé
From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinform. 16 (2015)
Vanya Van Belle, Paulo Lisboa
White box radial basis function classifiers with component selection for clinical prediction models. Artif. Intell. Medicine 60 (1) (2014)
Vanya Van Belle, Paulo Lisboa
Research directions in interpretable machine learning models. ESANN (2013)
Vanya Van Belle, Paulo Lisboa
Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability. CIDM (2013)
Mark Taylor, Emma Higgins, Paulo Lisboa
Testing geographical information systems: a case study in a fire prevention support system. J. Syst. Inf. Technol. 14 (3) (2012)
Neil Coombes, Roger Payne, Paulo Lisboa
Comparison of Nested Simulated Annealing and Reactive Tabu Search for Efficient Experimental Designs with Correlated Data. COMPSTAT (2002)