Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.

M. Khalaf, A. Hussain, D. Al-Jumeily, T. Baker, R. Keight, P. Lisboa, P. Fergus, and A. Kafri. CEC, page 1-8. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Lisboa, Paulo

add a person with the name Lisboa, Paulo

Other publications of authors with the same name

Hybrid Neural Network Predictive-Wavelet Image Compression System.A. Hussain, D. Al-Jumeily, N. Radi, and P. Lisboa. Neurocomputing, (2015)Bioinformatics and medicine in the era of deep learning.D. Bacciu, P. Lisboa, J. Martín, R. Stoean, and A. Vellido. ESANN, (2018)Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.B. Abdulaimma, A. Hussain, P. Fergus, D. Al-Jumeily, P. Lisboa, D. Huang, and N. Radi. CEC, page 1-7. IEEE, (2018)Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD).J. Hind, A. Hussain, D. Al-Jumeily, C. Montañez, C. Chalmers, and P. Lisboa. DeSE, page 12-17. IEEE, (2018)Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis.P. McCabe, I. Olier, S. Ortega-Martorell, I. Jarman, V. Baltzopoulos, and P. Lisboa. IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 114-122. Springer, (2019)Testing geographical information systems: a case study in a fire prevention support system.M. Taylor, E. Higgins, and P. Lisboa. J. Systems and IT, 14 (3): 184-199 (2012)A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI.P. Riley, I. Olier, M. Rea, P. Lisboa, and S. Ortega-Martorell. WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 294-303. Springer, (2019)Measuring scoring efficiency through goal expectancy estimation.H. Ruiz, P. Lisboa, P. Neilson, and W. Gregson. ESANN, (2015)Automated selection of interaction effects in sparse kernel methods to predict pregnancy viability.V. Belle, and P. Lisboa. CIDM, page 26-31. IEEE, (2013)A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.M. Khalaf, A. Hussain, D. Al-Jumeily, T. Baker, R. Keight, P. Lisboa, P. Fergus, and A. Kafri. CEC, page 1-8. IEEE, (2018)

PUMA

Disambiguation of "Lisboa, Paulo"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Lisboa, Paulo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.