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(Machine Learning Development and Protocols) - Veloso holds a bachelor's, master's, and doctoral degrees in Computer Science from the Federal University of Minas Gerais (2001, 2003, and 2009). He completed his postdoctoral studies at Cornell University (2013). Currently, Adriano Veloso is an adjunct professor at the Federal University of Minas Gerais. His areas of interest include theoretical and practical aspects of Machine Learning. He is a member of the National Institute of Science and Technology for the Web. He is an affiliate member of the Brazilian Academy of Sciences. He served as the Director of Scientific Production at the Federal University of Minas Gerais (2012-2014). Please check complete CV at http://lattes.cnpq.br/9973021912226739
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Identification

Personal identification

Full name
Adriano Alonso Veloso Adriano

Citation names

  • Veloso, Adriano

Author identifiers

Ciência ID
F214-DB19-F0DD
ORCID iD
0000-0002-9177-4954
LattesiD
http://lattes.cnpq.br/9973021912226739
Education
Degree Classification
2013 - 2013
Concluded
 Ciência da Computação (Postgraduate Certificate)
Cornell University, United States
" Demand-Driven Associative Classification" (THESIS/DISSERTATION)
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2017 - Current Associate Professor (University Teacher) Universidade Federal de Minas Gerais, Brazil
Projects

Contract

Designation Funders
2023 - Current Modelos de Inteligência de Dados para o Mercado de Materiais de Construção
nteligência de Dados
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2023 - Current Modelos de Aprendizado de Máquina para Identificação de Falhas durante o Processo de Desodorização de Óleos
Identificação de Falhas
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2023 - Current Projeto Modelos de Inteligência Artificial para People Analytics
Inteligência Artificial
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2023 - Current Aprendizado de Máquina como Ferramenta de Predição, Otimização de Resultados e Redução de Carga de Trabalho no Cuidado de Pacientes Críticos
Máquina
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2023 - Current Aprendizado de Representações de Pacientes para Previsão de Tempo de Internação
Pacientes
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2022 - Current Predição de Defeitos durante a Produção de Aço através de Aprendizado Causal-Explicativo
Produção de Aço
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2022 - Current IIA-Saúde: Centro de Inovação em Inteligência Artificial para Saúde
CIIA
Principal investigator
Universidade Federal de Minas Gerais, Brazil
Ongoing
2021 - Current CNPQ: Bolsa de Produtividade em Pesquisa (nível 2)
CNPQ
Principal investigator
2021 - Current Inteligência artificial aplicada à exploração de petróleo na camada pré-sal
petróleo
Researcher
Universidade Federal de Minas Gerais, Brazil
 Petrobras
Ongoing
2020/08/11 - Current Capacidades Analíticas do Ministério Público de Minas Gerais
Ministério Público de Minas Gerais
Researcher
Universidade Federal de Minas Gerais, Brazil
Ongoing
2020 - 2021 Modelagem do comportamento do parlamentar por meio de inteligência artificial
parlamentar
Researcher
Universidade Federal de Minas Gerais, Brazil
Concluded
Outputs

Publications

Conference paper
  1. Zuin, Gianlucca; Buechler, Rob; Sun, Tao; Zanocco, Chad; Castro, Daniella; Veloso, Adriano; Rajagopal, Ram. "Revealing the Impact of Extreme Events on Electricity Consumption in Brazil: A Data-Driven Counterfactual Approach". 2022.
    10.1109/pesgm48719.2022.9916678
  2. Santos, Geanderson; Veloso, Adriano; Figueiredo, Eduardo. "Understanding Thresholds of Software Features for Defect Prediction". 2022.
    10.1145/3555228.3555269
  3. Silva, Ismael Santana; Veloso, Adriano. "Automatic Model Evaluation using Feature Importance Patterns on Unlabeled Data". 2022.
    10.1109/ijcnn55064.2022.9892649
  4. Jalilifard, Amir; Veloso, Adriano Alonso. "Drug Repurposing Opportunities in Shapley Space". 2022.
    10.1109/ijcnn55064.2022.9892375
  5. Viola, Roberta; Drummond, Guilherme; Veloso, Adriano; Zuardi, Mauricio. "A data-centric approach for predicting individual outcomes in a multi-party legislative system". 2022.
    10.1109/ijcnn55064.2022.9892620
  6. Chen, Dehua; Jalilifard, Amir; Veloso, Adriano; Ziviani, Nivio. "Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding". 2020.
    10.1109/ijcnn48605.2020.9206668
  7. Nigri, Eduardo; Ziviani, Nivio; Cappabianco, Fabio; Antunes, Augusto; Veloso, Adriano. "Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer’s Disease". 2020.
    10.1109/ijcnn48605.2020.9206837
  8. Pimentel, Tiago; Monteiro, Marianne; Veloso, Adriano; Ziviani, Nivio. "Deep Active Learning for Anomaly Detection". 2020.
    10.1109/ijcnn48605.2020.9206769
  9. Valle, Dan; Pimentel, Tiago; Veloso, Adriano. "Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations". 2020.
    10.1109/ijcnn48605.2020.9206795
  10. Zuin, Gianluca; Veloso, Adriano; Portinari, Joao Candido; Ziviani, Nivio. "Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions". 2020.
    10.1109/ijcnn48605.2020.9206818
Journal article
  1. Júlio Guerra Domingues; Daniella Castro Araujo; Luciana Costa-Silva; Alexei Manso Corrêa Machado; Luciana Andrade Carneiro Machado; Adriano Alonso Veloso; Sandhi Maria Barreto; Rosa Weiss Telles. "Development of a convolutional neural network for diagnosing osteoarthritis, trained with knee radiographs from the ELSA-Brasil Musculoskeletal". Radiologia Brasileira (2023): https://doi.org/10.1590/0100-3984.2023.0020-en.
    10.1590/0100-3984.2023.0020-en
  2. Júlio Guerra Domingues; Daniella Castro Araujo; Luciana Costa-Silva; Alexei Manso Corrêa Machado; Luciana Andrade Carneiro Machado; Adriano Alonso Veloso; Sandhi Maria Barreto; Rosa Weiss Telles. "Desenvolvimento de rede neural convolucional para o diagnóstico radiográfico de osteoartrite dos joelhos no ELSA-Brasil Musculoesquelético". Radiologia Brasileira (2023): https://doi.org/10.1590/0100-3984.2023.0020.
    10.1590/0100-3984.2023.0020
  3. Salgado, Álvaro; Melo-Minardi, Raquel C. de; Giovanetti, Marta; Veloso, Adriano; Morais-Rodrigues, Francielly; Adelino, Talita; de Jesus, Ronaldo; et al. "Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus". PLOS ONE 17 12 (2022): e0278982. http://dx.doi.org/10.1371/journal.pone.0278982.
    10.1371/journal.pone.0278982
  4. Santhiago, Marcony R.; Araujo, Daniella C.; Stival, Larissa R.; Smadja, David; Veloso, Adriano A.. "Ectasia Risk Model: A Novel Method Without Cut-off Point Based on Artificial Intelligence Improves Detection of Higher-Risk Eyes". Journal of Refractive Surgery 38 11 (2022): 716-724. http://dx.doi.org/10.3928/1081597x-20221018-01.
    10.3928/1081597x-20221018-01
  5. Araújo, Daniella Castro; Veloso, Adriano Alonso; Borges, Karina Braga Gomes; Carvalho, Maria das Graças. "Prognosing the risk of COVID-19 death through a machine learning-based routine blood panel: A retrospective study in Brazil". International Journal of Medical Informatics 165 (2022): 104835. http://dx.doi.org/10.1016/j.ijmedinf.2022.104835.
    10.1016/j.ijmedinf.2022.104835
  6. Araújo, Daniella Castro; Veloso, Adriano Alonso; Gomes, Karina Braga; de Souza, Leonardo Cruz; Ziviani, Nivio; Caramelli, Paulo. "A Novel Panel of Plasma Proteins Predicts Progression in Prodromal Alzheimer’s Disease". Journal of Alzheimer's Disease 88 2 (2022): 549-561. http://dx.doi.org/10.3233/jad-220256.
    10.3233/jad-220256
  7. Zuin, Gianlucca; Araujo, Daniella; Ribeiro, Vinicius; Seiler, Maria Gabriella; Prieto, Wesley Heleno; Pintão, Maria Carolina; dos Santos Lazari, Carolina; Granato, Celso Francisco Hernandes; Veloso, Adriano. "Prediction of SARS-CoV-2-positivity from million-scale complete blood counts using machine learning". Communications Medicine 2 1 (2022): http://dx.doi.org/10.1038/s43856-022-00129-0.
    10.1038/s43856-022-00129-0
  8. Tiago Amador; Saulo Saturnino; Adriano Veloso; Nivio Ziviani. "Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations". Artificial Intelligence in Medicine 128 (2022): 102283-102283. https://doi.org/10.1016/j.artmed.2022.102283.
    10.1016/j.artmed.2022.102283
  9. Adriano Veloso; Xiaowen Dong; Nivio Ziviani. "Explainable death toll motion modeling: COVID-19 data-driven narratives". PLOS ONE 17 4 (2022): e0264893-e0264893. https://doi.org/10.1371/journal.pone.0264893.
    10.1371/journal.pone.0264893
  10. Gianlucca Zuin; Luiz Chaimowicz; Adriano Veloso. "Deep Learning Techniques for Explainable Resource Scales in Collectible Card Games". IEEE Transactions on Games 14 1 (2022): 46-55. https://doi.org/10.1109/TG.2020.3030742.
    10.1109/TG.2020.3030742
  11. Bernardes, L. S.; Rosa, A. S.; Carvalho, M. A.; Ottolia, J.; Rubloski, J. M.; Castro, D.; Velloso, A.; da Silva, V. A.; de Andrade, D. C.. "Facial expressions of acute pain in 23-week fetus". Ultrasound in Obstetrics & Gynecology 59 3 (2022): 394-395. http://dx.doi.org/10.1002/uog.23709.
    10.1002/uog.23709
  12. Araújo, Daniella Castro; Veloso, Adriano Alonso; de Oliveira Filho, Renato Santos; Giraud, Marie-Noelle; Raniero, Leandro José; Ferreira, Lydia Masako; Bitar, Renata Andrade. "Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning". Artificial Intelligence in Medicine 120 (2021): 102161. http://dx.doi.org/10.1016/j.artmed.2021.102161.
    10.1016/j.artmed.2021.102161
  13. Silva, I. S.; Ferreira, C. N.; Costa, L. B. X.; Sóter, M. O.; Carvalho, L. M. L.; de C. Albuquerque, J.; Sales, M. F.; et al. "Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models". Journal of Endocrinological Investigation 45 3 (2021): 497-505. http://dx.doi.org/10.1007/s40618-021-01672-8.
    10.1007/s40618-021-01672-8
  14. Bernardes, Lisandra S.; Carvalho, Mariana A.; Harnik, Simone B.; Teixeira, Manoel J.; Ottolia, Juliana; Castro, Daniella; Velloso, Adriano; et al. "Sorting pain out of salience: assessment of pain facial expressions in the human fetus". PAIN Reports 6 1 (2021): e882. http://dx.doi.org/10.1097/pr9.0000000000000882.
    10.1097/pr9.0000000000000882
  15. Geanderson Esteves; Eduardo Figueiredo; Adriano Veloso; Markos Viggiato; Nivio Ziviani. "Understanding machine learning software defect predictions". Automated Software Engineering 27 3-4 (2020): 369-392. https://doi.org/10.1007/s10515-020-00277-4.
    10.1007/s10515-020-00277-4
  16. Rosa, A.S.; Carvalho, M.A.; Castro, D.; Veloso, A.; Haiek, D.; de Andrade, D. Ciampi; Bernardes, L.S.. "VP21.11: Assessment of postoperative pain in the fetus". Ultrasound in Obstetrics & Gynecology 56 S1 (2020): 146-147. http://dx.doi.org/10.1002/uog.22668.
    10.1002/uog.22668
  17. Rosa, A.S.; Carvalho, M.A.; Castro, D.; Veloso, A.; Haiek, D.; Ottolia, J.; de Andrade, D. Ciampi; Bernardes, L.S.. "VP21.09: Assessment of early acute pain in the fetus before 24 weeks pregnancy". Ultrasound in Obstetrics & Gynecology 56 S1 (2020): 146-146. http://dx.doi.org/10.1002/uog.22666.
    10.1002/uog.22666
  18. Cançado, Márcia; Amaral, Luana; Amorin, Evelin; Veloso, Adriano; Mello, Heliana. "Subjetividade em correções de redações". Linguamática 12 1 (2020): 63-79. http://dx.doi.org/10.21814/lm.12.1.313.
    10.21814/lm.12.1.313

Other

Other output
  1. Explainable death toll motion modeling: COVID-19 narratives and counterfactuals. 2020. Adriano Veloso; Nivio Ziviani. https://doi.org/10.1101/2020.07.04.20146423.
    10.1101/2020.07.04.20146423