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Daniel Xavier de Sousa
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New softwares for automated microsatellite marker development
W Martins, D de Sousa, K Proite, P Guimarães, M Moretzsohn, D Bertioli
Nucleic Acids Research 34 (4), e31-e31, 2006
642006
A thorough evaluation of distance-based meta-features for automated text classification
S Canuto, DX Sousa, MA Goncalves, TC Rosa
IEEE transactions on knowledge and data engineering 30 (12), 2242-2256, 2018
252018
Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests
C SA, DX SOUSA, T SALLES, MA GONCALVES
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
172016
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank
DX SOUSA, SDC CANUTO, TC ROSA, WS MARTINS, MA GONCALVES
The 24th ACM International on Conference on Information and Knowledge …, 2016
132016
Risk-sensitive learning to rank with evolutionary multi-objective feature selection
DX Sousa, S Canuto, MA Goncalves, TC Rosa, WS Martins
ACM Transactions on Information Systems (TOIS) 37 (2), 1-34, 2019
102019
Improving on-demand learning to rank through parallelism
DXD Sousa, TC Rosa, WS Martins, R Silva, MA Gonçalves
International Conference on Web Information Systems Engineering, 526-537, 2012
72012
Blast distributed execution on partitioned databases with primary fragments
DX Sousa, S Lifschitz, P Valduriez
International Conference on High Performance Computing for Computational …, 2008
42008
Avaliação do E-value para Execução do BLAST sobre Bases de Dados Fragmentadas
DX de Sousa, S Lifschitz
4*2007
Parallel rule‐based selective sampling and on‐demand learning to rank
MF e Freitas, DX Sousa, WS Martins, TC Rosa, RM Silva, MA Gonçalves
Concurrency and Computation: Practice and Experience 31 (18), e4464, 2019
32019
A Fast and Scalable Manycore Implementation for an On-Demand Learning to Rank Method
M Freitas, D Sousa, W Martins, T Couto, R Silva, M Gonçalves
Proceeding of the 17th Simpósio em Sistemas Computacionais de Alto …, 2016
22016
BLAST parallelization on partitioned databases with primary fragments
DX De Sousa, S Lifschitz, P Valduriez
2
Individualized extreme dominance (IndED): A new preference-based method for multi-objective recommender systems
RS Fortes, DX de Sousa, DG Coelho, AM Lacerda, MA Gonçalves
Information Sciences 572, 558-573, 2021
12021
Uma análise visual da cobertura de imunobiológicos, sua infraestrutura e efeitos no estado da Bahia
G de Almeida Nascimento, FRM dos Reis, R Novais, DX de Sousa, ...
Research, Society and Development 11 (8), e6811830402-e6811830402, 2022
2022
Evolutionary risk-sensitive feature selection for learning to rank
DX Sousa
Universidade Federal de Minas Gerais, 2018
2018
Impulsionando Árvores Extremamente Aleatórias Ensacadas em Paralelo para Classificação de Textos
JCB Pires, WS Martins, DX de Sousa
Anais da VI Escola Regional de Informática de Goiás, 325-330, 2018
2018
A Fast and Scalable Manycore Implementation for an On-Demand Learning to Rank Method
F Mateus, D de Sousa, W Martins, T Rosa, R Silva, M Gonçalves
Anais do XVII Simpósio em Sistemas Computacionais de Alto Desempenho, 133-144, 2016
2016
Exposure parameters and ESD in chest radiography: A comparative study from two DR systems
L Lanca, D Sousa, M Freitas, O Felicio, MI Ramalho
European Congress of Radiology-ECR 2008, 2008
2008
[en] WORKLOAD BALANCING STRATEGIES FOR PARALLEL BLAST EVALUATION ON REPLICATED DATABASES AND PRIMARY FRAGMENTS
DX DE SOUSA
Pontifical Catholic University of Rio de Janeiro, 2008
2008
Estratégias de Balanceamento de Carga para Avaliaçao Paralela do BLAST com Bases de Dados Replicadas e Fragmentos Primários
DX de Sousa
PUC–Rio, 2007
2007
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Articles 1–19