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Nuno Rodrigues
Nuno Rodrigues
LASIGE, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa
Verifisert e-postadresse på fc.ul.pt
Tittel
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Ensemble genetic programming
NM Rodrigues, JE Batista, S Silva
European Conference on Genetic Programming (Part of EvoStar), 151-166, 2020
342020
Fitness landscape analysis of convolutional neural network architectures for image classification
NM Rodrigues, KM Malan, G Ochoa, L Vanneschi, S Silva
Information Sciences 609, 711-726, 2022
272022
A comparative study of automated deep learning segmentation models for prostate MRI
NM Rodrigues, S Silva, L Vanneschi, N Papanikolaou
Cancers 15 (5), 1467, 2023
192023
Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
A Rodrigues, N Rodrigues, J Santinha, MV Lisitskaya, A Uysal, C Matos, ...
Scientific Reports 13 (1), 6206, 2023
172023
Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants
NM Rodrigues, JE Batista, P Mariano, V Fonseca, B Duarte, S Silva
Biology, 2021
162021
Slug: Feature selection using genetic algorithms and genetic programming
NM Rodrigues, JE Batista, W La Cava, L Vanneschi, S Silva
European conference on genetic programming (Part of EvoStar), 68-84, 2022
152022
Plotting time: On the usage of CNNs for time series classification
NM Rodrigues, JE Batista, L Trujillo, B Duarte, M Giacobini, L Vanneschi, ...
arXiv preprint arXiv:2102.04179, 2021
152021
Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest
JE Batista, NM Rodrigues, AIR Cabral, MJP Vasconcelos, A Venturieri, ...
International Journal of Remote Sensing 43 (9), 3298-3319, 2022
142022
A Study of Generalization and Fitness Landscapes for Neuroevolution
NM Rodrigues, S Silva, L Vanneschi
IEEE Access 8, 108216 - 108234, 2020
122020
A Study of Fitness Landscapes for Neuroevolution
NM Rodrigues, S Silva, L Vanneschi
2020 IEEE Congress on Evolutionary Computation (CEC), 2020
112020
Geometric semantic genetic programming with normalized and standardized random programs
I Bakurov, JM Muñoz Contreras, M Castelli, N Rodrigues, S Silva, ...
Genetic Programming and Evolvable Machines 25 (1), 6, 2024
22024
Radiomics-based reliable predictions of side effects after radiotherapy for prostate cancer
G Del Corso, E Pachetti, R Buongiorno, AC Rodrigues, D Germanese, ...
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024
22024
Feature selection on epistatic problems using genetic algorithms with nested classifiers
P Carvalho, B Ribeiro, NM Rodrigues, JE Batista, L Vanneschi, S Silva
International Conference on the Applications of Evolutionary Computation …, 2023
22023
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction
NM Rodrigues, JG Almeida, A Rodrigues, L Vanneschi, C Matos, ...
JCO Clinical Cancer Informatics 8, e2300180, 2024
12024
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data
NM Rodrigues, JG de Almeida, ASC Verde, AM Gaivão, C Bilreiro, ...
Computers in Biology and Medicine 171, 108216, 2024
12024
Testing the Segment Anything Model on radiology data
JG de Almeida, NM Rodrigues, S Silva, N Papanikolaou
arXiv preprint arXiv:2312.12880, 2023
12023
Exploring SLUG: Feature selection using genetic algorithms and genetic programming
NM Rodrigues, JE Batista, WL Cava, L Vanneschi, S Silva
SN Computer Science 5 (1), 91, 2023
12023
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRI
JG Almeida, NM Rodrigues, AS Castro Verde, A Mascarenhas Gaivão, ...
Radiology: Artificial Intelligence, e230555, 2025
2025
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
E Mylona, DI Zaridis, CΝ Kalantzopoulos, NS Tachos, D Regge, ...
Insights into Imaging 15 (1), 265, 2024
2024
M6GP: Multiobjective Feature Engineering
JE Batista, NM Rodrigues, L Vanneschi, S Silva
2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024
2024
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Artikler 1–20