| Parallel and distributed processing for unsupervised patient phenotype representation JA García Heano, F Precioso, P Staccini, M Riveill High Performance Computing: 5th Latin American Conference, CARLA 2018 …, 2019 | 3 | 2019 |
| A multiclass radiomics method–based WHO severity scale for improving COVID-19 patient assessment and disease characterization from CT scans JAG Henao, A Depotter, DV Bower, H Bajercius, PT Todorova, ... Investigative radiology 58 (12), 882-893, 2023 | 1 | 2023 |
| A Machine Learning-Based Missing Data Imputation with FHIR Interoperability Approach in Sepsis Prediction CFT Beltran, EDV Ibañez, VM Orejuela, JA García Henao Latin American High Performance Computing Conference, 116-130, 2022 | | 2022 |
| Development and use of a clinical-community nursing information system in a bachelor’s degree program Z Roa-Díaz, EJC Troconis, JAG Henao, LEI Alfonso On-Line Journal of Nursing Informatics 26 (1), 2022 | | 2022 |
| Green artificial intelligence to automate medical diagnosis with low energy consumption JAG Henao Université Côte d'Azur, 2021 | | 2021 |
| DiagnoseNET: Automatic Framework to Scale Neural Networks on Heterogeneous Systems Applied to Medical Diagnosis JAG Henao, F Precioso, P Staccini, M Riveill IT Convergence and Security: Proceedings of ICITCS 2020 712, 3, 2020 | | 2020 |
| Analysis of Regularization in Deep Learning Models on Testbed Architectures FAM Cajicá, JA García Henao, CJB Hernández, M Riveill Latin American High Performance Computing Conference, 178-192, 2020 | | 2020 |
| Scalability Analysis of Mini-Cluster Jetson TX2 for Training DNN Applied to Healthcare JAJAG Henao, G Henao, F Precioso, P Staccini, M Riveill NVIDIA GTC Europe 2018, 2018 | | 2018 |
| Scalability Analysis of Mini-Cluster Jetson TX2 for Training DNN Applied to Healthcare MR John Anderson García Henao, Frederic Precioso, Pascal Staccini GPU Technology Conference, 2018 | | 2018 |
| DiagnoseNET: Framework to Build a Full Deep Neural Networks Workflow From Data-mining, Unsupervised Embedding and Supervised Learning MR John Anderson García Henao, Frederic Precioso, Pascal Staccini https://www.researchgate.net/publication …, 2017 | | 2017 |
| EEA-Aware For Large-Scale Scientific Applications On Heterogeneous Architectures JAJAG Henao, G Henao, E Hernandez, POA Navaux, ... ACM Student Research Competition at Supercomputing. The International …, 2016 | | 2016 |
| enerGyPU and enerGyPhi Monitor for Power Consumption and Performance Evaluation on Nvidia Tesla GPU and Intel Xeon Phi JAG Henao, H Esteban, C Hernandez, POA Navaux 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016 | | 2016 |
| eGPU for Monitoring Performance and Power Consumption on Multi-GPUs JAG Henao, VM Abaunza, POA Navaux, CJB Hernández | | 2015 |
| ACELERACION ENERGÉTICAMENTE EFICIENTE DE APLICACIONES CIENTÍFICAS DE GRAN ESCALA SOBRE ARQUITECTURAS HETEROGNÉAS JAG HENAO | | |
Michel RiveillProfessor, Université Côte d’AzurE-mail confirmado em univ-cotedazur.fr
