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ORCIDNuno M. Rodrigues
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2020 – today
- 2024
[j6]Nuno M. Rodrigues
, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou:
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. Comput. Biol. Medicine 171: 108216 (2024)- [j5]Illya Bakurov, Jose Manuel Muñoz Contreras, Mauro Castelli, Nuno M. Rodrigues, Sara Silva, Leonardo Trujillo, Leonardo Vanneschi:
Geometric semantic genetic programming with normalized and standardized random programs. Genet. Program. Evolvable Mach. 25(1): 6 (2024) - [j4]Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva:
Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. SN Comput. Sci. 5(1): 91 (2024) - [c9]Giulio Del Corso, Eva Pachetti, Rossana Buongiorno, Ana Carolina Rodrigues, Danila Germanese, Maria Antonietta Pascali, José G. de Almeida, Nuno M. Rodrigues, Manolis Tsiknakis, Nickolas Papanikolaou, Daniele Regge, Kostas Marias, ProCAncer-I Consortium, Sara Colantonio:
Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. ISBI 2024: 1-4 - 2023
- [j3]Nuno M. Rodrigues, Fernando M. Janeiro, Pedro M. Ramos:
Deep Learning for Power Quality Event Detection and Classification Based on Measured Grid Data. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c8]Pedro Carvalho, Bruno Ribeiro, Nuno M. Rodrigues, João E. Batista, Leonardo Vanneschi, Sara Silva:
Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. EvoApplications@EvoStar 2023: 656-671 - [c7]Nuno M. Rodrigues, José G. de Almeida, Sara Silva:
Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. GECCO Companion 2023: 627-630 - [i4]José Guilherme de Almeida, Nuno M. Rodrigues, Sara Silva, Nickolas Papanikolaou:
Testing the Segment Anything Model on radiology data. CoRR abs/2312.12880 (2023) - 2022
- [j2]Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, Leonardo Vanneschi, Sara Silva:
Fitness landscape analysis of convolutional neural network architectures for image classification. Inf. Sci. 609: 711-726 (2022) - [c6]Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva:
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. EuroGP 2022: 68-84 - 2021
- [i3]Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva:
Plotting time: On the usage of CNNs for time series classification. CoRR abs/2102.04179 (2021) - 2020
- [j1]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access 8: 108216-108234 (2020) - [c5]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. CEC 2020: 1-8 - [c4]Nuno M. Rodrigues, João E. Batista, Sara Silva:
Ensemble Genetic Programming. EuroGP 2020: 151-166 - [c3]Nuno M. Rodrigues, João P. Carvalho, Fernando M. Janeiro, Pedro M. Ramos:
Electrical Power Grid Frequency Estimation with Fuzzy Boolean Nets. IPMU (1) 2020: 667-679 - [i2]Nuno M. Rodrigues, João E. Batista, Sara Silva:
Ensemble Genetic Programming. CoRR abs/2001.07553 (2020) - [i1]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. CoRR abs/2001.11272 (2020)
2010 – 2019
- 2019
- [c2]João E. Batista, Nuno M. Rodrigues, Sara Silva:
To adapt or not to adapt, or the beauty of random settings. GECCO (Companion) 2019: 336-337 - 2018
- [c1]Nuno M. Rodrigues, Fernando M. Janeiro, Pedro M. Ramos:
Digital filter performance for zero crossing detection in power quality embedded measurement systems. I2MTC 2018: 1-6
Coauthor Index
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