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Jorge Manuel Fernandes dos Santos. Concluiu o(a) Doutoramento em Doutoramento em Ciências da Engenharia em 2007 pelo(a) Universidade do Porto Faculdade de Engenharia e Mestrado em Mestrado em Engenharia Electrotécnica e Computadores em 1997 pelo(a) Universidade do Porto Faculdade de Engenharia. É Professor Adjunto no(a) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto e Investigador no(a) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto. Publicou 9 artigos em revistas especializadas. Possui 12 capítulo(s) de livros e 1 livro(s). Recebeu 1 prémio(s) e/ou homenagens. Participa e/ou participou como Investigador em 3 projeto(s). Atua na(s) área(s) de Ciências da Engenharia e Tecnologias. No seu currículo Ciência Vitae os termos mais frequentes na contextualização da produção científica, tecnológica e artístico-cultural são: Computer Science and Engineering - Computer Engineering; Mechanical Engineering - Industrial Management; Computer Engineering; Neural Networks; Deep Learning; Transfer Learning; Classification:; Pattern recognition; Biomedical Applications; Entropy; Clustering; .
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Identification

Personal identification

Full name
Jorge Manuel Fernandes dos Santos

Citation names

  • Santos, Jorge
  • Jorge M. Santos

Author identifiers

Ciência ID
5316-E503-BDAF
ORCID iD
0000-0002-2760-7756
Google Scholar ID
R_1v6lsAAAAJ&hl
Scopus Author Id
7402389359

Knowledge fields

  • Engineering and Technology

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Advanced (C1) Advanced (C1) Intermediate (B1) Advanced (C1)
French Intermediate (B1) Advanced (C1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2007
Concluded
 Doutoramento em Ciências da Engenharia (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
"Data Classification with Neural Networks and Entropic Criteria" (THESIS/DISSERTATION)
 Aprovado por unanimidade
1997
Concluded
 Mestrado em Engenharia Electrotécnica e Computadores (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
"A Interface Gráfica com o Utilizador em Sistema Domóticos" (THESIS/DISSERTATION)
 Muito Bom
Affiliation

Science

Category
Host institution 		Employer
2008/01/08 - Current Researcher (Research) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2004/01/01 - 2016/12/31 Researcher (Research) Instituto Nacional de Engenharia Biomédica, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2007/06/01 - Current Adjunct Teacher (Polytechnic Teacher) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2009 - 2011 Adjunct Teacher (Polytechnic Teacher) Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
1995/12/03 - 2007/05/31 Assistant (Polytechnic Teacher) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Other Careers

Category
Host institution 		Employer
1987 - 1995 Professor do ensino básico e secundário (Professor do ensino básico e secundário) Ministério da Educação e Cultura, Mozambique

Positions / Appointments

Category
Host institution 		Employer
2009/11/02 - 2014/07/03 Conselho científico/técnico-científico ou orgão correspondente Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
Projects

Contract

Designation Funders
2012/05/06 - 2015/09/30 Reusable Deep Neural Networks: applications to Biomedical Data.
PTDC/EIA-EIA/119004/2010
Researcher
Concluded
2011/04/01 - 2014/09/30 ADSyS - Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modelling Experience
PTDC/EME-GIN/109956/2009
Researcher
Concluded
2005/06/01 - 2008/11/30 EntNets - Entropic Neural Networks for Medical and Biological Data Analysis
POSC/EIA/56918/2004
Researcher
Concluded
Outputs

Publications

Book
  1. Marques De Sá, J.P.; Silva, L.M.A.; Santos, J.M.F.; Alexandre, L.A.. Minimum error entropy classification. 2013.
    10.1007/978-3-642-29029-9
Book chapter
  1. Sousa, R.G.; Esteves, T.; Rocha, S.; Figueiredo, F.; De Sá, J.M.; Alexandre, L.A.; Santos, J.M.; Silva, L.M.. "Transfer learning for the recognition of immunogold particles in TEM imaging". 2015.
    10.1007/978-3-319-19258-1_32
  2. Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Santos, J.M.. "Deep transfer learning ensemble for classification". 2015.
    10.1007/978-3-319-19258-1_29
  3. Santos, J.M.; Embrechts, M.. "A family of two-dimensional benchmark data sets and its application to comparing different cluster validation indices". 2014.
    10.1007/978-3-319-07491-7_5
  4. Amaral, T.; Silva, L.M.; Alexandre, L.A.; Kandaswamy, C.; de Sá, J.M.; Santos, J.M.. "Transfer learning using rotated image data to improve deep neural network performance". 2014.
    10.1007/978-3-319-11758-4_32
  5. Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Santos, J.M.; De Sá, J.M.. "Improving deep neural network performance by reusing features trained with transductive transference". 2014.
    10.1007/978-3-319-11179-7_34
  6. Cruz, M.; Santos, J.M.; Cruz, N.. "Estimating the maximum shear modulus with neural networks". 2013.
    10.1007/978-3-642-38577-3_71
  7. Fontes, T.; Lopes, V.; Silva, L.M.; Santos, J.M.; Marques De Sá, J.. "NNIGnets, neural networks software". 2011.
    10.1007/978-3-642-23957-1_39
  8. Cruz, M.; Santos, J.M.; Cruz, N.. "Maximum shear modulus prediction by marchetti dilatometer test using neural networks". 2011.
    10.1007/978-3-642-23957-1_38
  9. Santos, J.M.; Embrechts, M.. "On the use of the adjusted rand index as a metric for evaluating supervised classification". 2009.
    10.1007/978-3-642-04277-5_18
  10. Silva, L.M.; Embrechts, M.; Santos, J.M.; De Sá, J.M.. "The influence of the risk functional in data classification with MLPs". 2008.
    10.1007/978-3-540-87536-9_20
  11. Santos, J.M.; De Sá, J.M.; Alexandre, L.A.. "Batch-sequential algorithm for neural networks trained with entropic criteria". 2005.
  12. Santos, Jorge. "Neural network Classification using Error Entropy Minimization". 291-297. Springer, Dordrecht, 2005.
    10.1007/1-4020-3432-6_34
Conference abstract
  1. Marcela de Oliveira; M. Piacenti-Silva; Fernando Rocha; Jorge M. Santos; Jaime S. Cardoso; Paulo N. Lisboa-Filho. "Skull extraction for analysis of brain damage in magnetic resonance imaging". Paper presented in 3rd European Congress of Medical Physics (ECMP), 2021.
  2. Marcela de Oliveira; Marina da Silva; Fernando Rocha; Jorge M. Santos; Jaime S. Cardoso; Paulo Lisboa-Filho. "Skull Extraction for Quantification of Brain Volume in MRI of multiple Sclerosis Patients". Paper presented in ICMPBE 2020 : International Conference on Medical Physics and Biomedical Engineering, 2020.
  3. Stella Abreu; José Matos; Manuel Cruz; Sandra Ramos; Santos, Jorge. "The Master Degree of Applied Mathematics to Engineering and Finance, School of Engineering, Polytechnic of Porto". Paper presented in ECMI2016, Santiago de Compostela, 2016.
Conference paper
  1. Marcela de Oliveira; Felipe Santinelli; Marina Piacenti-Silva; Fernando Coronetti Gomes Rocha; Fabio Barbieri; Paulo Noronha Lisboa-Filho; Jorge M. Santos; Jaime S. Cardoso. "Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks". Paper presented in 11th International Workshop on biomedical and Health Informatics and International Conference on Bioinformatics and Biomedicine, 2020.
  2. Marcela de Oliveira; Marina Piacenti-Silva; Fernando C. G. Rocha; Jorge M. Santos; Jaime S. Cardoso; Paulo N. Lisboa-Filho. "Brain Extraction for Analysis of Magnetic Resonance Imaging in Patients with Multiple Sclerosis". Paper presented in 26th Portuguese Conference on Pattern Recognition, 2020.
  3. Ana Madureira; Bruno Cunha; João P. Pereira; S. Gomes; Ivo Pereira; Santos, Jorge; Ajith Abraham. "Using personas for supporting user modeling on scheduling systems". 2014.
    10.1109/HIS.2014.7086212
  4. Amaral, T.; Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Sa, J.M.D.; Santos, J.M.. "Improving performance on problems with few labelled data by reusing stacked auto-encoders". 2014.
    10.1109/ICMLA.2014.65
  5. Madureira, A.; Gomes, S.; Cunha, B.; Pereira, J.P.; Santos, J.M.; Pereira, I.. "Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience". 2014.
    10.1109/NaBIC.2014.6921869
  6. Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Sousa, R.; Santos, J.M.; De Sá, J.M.. "Improving transfer learning accuracy by reusing stacked denoising autoencoders". 2014.
    10.1109/SMC.2014.6974107
  7. Madureira, A.; Santos, J.M.; Gomes, S.; Cunha, B.; Pereira, J.P.; Pereira, I.. "Manufacturing rush orders rescheduling: A supervised learning approach". 2014.
    10.1109/NaBIC.2014.6921895
  8. Santos, Jorge. "Transfer Learning: Current Status, Trends and Challenges". Paper presented in RECPAD 2014, 2014.
    Published
  9. Amaral, T.; Silva, L.M.; Alexandre, L.A.; Kandaswamy, C.; Santos, J.M.; De Sá, J.M.. "Using different cost functions to train stacked auto-encoders". 2013.
    10.1109/MICAI.2013.20
  10. Embrechts, M.J.; Santos, J.M.; Linton, J.D.. "Random brains: An ensemble method for feature selection with neural networks". 2013.
  11. Santos, J.M.; Morais, F.. "Evaluating entropic based clustering algorithms on biomedical data". 2013.
    10.1109/MICAI.2013.31
  12. Santos, J.; Matos, J.; Araujo, T.; Cruz, M.; Ramos, S.; Moura, A.. "An innovative degree in mathematical engineering in the Portuguese education system submission process and evaluation". 2013.
    10.1109/CISPEE.2013.6701960
  13. Santos, J.M.; Ramos, S.. "Using a clustering similarity measure for feature selection in high dimensional data sets". 2010.
    10.1109/ISDA.2010.5687073
  14. Santos, J.M.; Alexandre, L.A.; De Sá, J.M.. "Modular neural network task decomposition via entropic clustering". 2006.
    10.1109/ISDA.2006.198
  15. Santos, Jorge. "Neural Network Classification Using Error Entropy Minimization". Paper presented in CISI 2004 - Conferenza Italiana sui Sistemi Intelligenti, Perugia, 2004.
  16. Santos, Jorge. "The error entropy minimization algorithm for neural network classification". Paper presented in RASC2004 - Recent Developments in Soft Computing, Nottingham, 2004.
    Published
  17. Santos, Jorge. "Optimization of the error entropy minimization algorithm for neural network classification". Paper presented in ANNIE2004 - Artificial Neural Networks in Engineering, St. Louis, 2004.
    Published
Journal article
  1. Stella Abreu; José Matos; Manuel Cruz; Sandra Ramos; Santos, Jorge. "The Master Degree on Applied Mathematics to Engineering and Finance, School of Engineering". Progress in Industrial Mathematics at ECMI 2016 26 (2018): 245-245.
    10.1007/978-3-319-63082-3_38
  2. Luís A. Alexandre; Ricardo Gamelas Sousa; Santos, Jorge; Luís M. Silva; Joaquim Marques de Sá. "Distribution-Based Categorization of Classifier Transfer Learning". arXiv preprint arXiv:1712.02159 (2017):
  3. Ricardo Gamelas Sousa; Santos, Jorge; Luís Silva; Luís A. Alexandre; Tiago Esteves; Sara Rocha; Paulo Monjardino; et al. "Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition". arXiv preprint arXiv:1712.02824 (2017):
  4. Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Santos, J.M.. "High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning". Journal of Biomolecular Screening 21 3 (2016): 252-259. http://www.scopus.com/inward/record.url?eid=2-s2.0-84959185539&partnerID=MN8TOARS.
    10.1177/1087057115623451
  5. Santos, Jorge; Daniel Dias. "Detection and Quantification of Neuron's Cellular Bodies in C. elegans". Journal of Image and Graphics 4 2 (2016):
    10.18178/joig.4.2.99-104
  6. Cruz, M.; Santos, J.M.; Cruz, N.. "Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus". Applied Intelligence 42 1 (2014): 135-146. http://www.scopus.com/inward/record.url?eid=2-s2.0-85028145717&partnerID=MN8TOARS.
    10.1007/s10489-014-0576-3
  7. Silva, L.M.; Santos, J.M.; De Sá, J.M.. "Classification performance of multilayer perceptrons with different risk functionals". International Journal of Pattern Recognition and Artificial Intelligence 28 6 (2014): http://www.scopus.com/inward/record.url?eid=2-s2.0-84929287552&partnerID=MN8TOARS.
    10.1142/S021800141450013X
  8. Santos, J.M.; De Sá, J.M.; Alexandre, L.A.. "LEGClust - A clustering algorithm based on layered entropic subgraphs". IEEE Transactions on Pattern Analysis and Machine Intelligence 30 1 (2008): 62-75. http://www.scopus.com/inward/record.url?eid=2-s2.0-36448984894&partnerID=MN8TOARS.
    10.1109/TPAMI.2007.1142
  9. Santos, J.M.; Marques de Sá, J.; Alexandre, L.A.. "Neural networks trained with the EEM algorithm: Tuning the smoothing parameter". WSEAS Transactions on Systems 4 4 (2005): 295-299. http://www.scopus.com/inward/record.url?eid=2-s2.0-21844450579&partnerID=MN8TOARS.
Report
  1. Santos, Jorge. 2016. Revenue Management Pricing in Douro Hotels. https://minetworkdotorg.files.wordpress.com/2018/03/problem-5-c2a0revenue-management-pricing-in-douro-hotels.pdf.
  2. Santos, Jorge. 2012. Experimental Evaluation of Multilayer Perceptrons with Entropic Risk Functionals on Real-World Datasets. https://pdfs.semanticscholar.org/a6fb/f7c3a7f8b1e91a35df3fd414dce2f9ac222f.pdf.
  3. Santos, Jorge. 2005. Human clustering on bi-dimensional data: An assessment. https://www.researchgate.net/publication/266055077_Human_Clustering_on_Bi-dimensional_Data_An_Assessment#fullTextFileContent.
Thesis / Dissertation
  1. Santos, Jorge. "Data classification with neural networks and entropic criteria". PhD, Universidade do Porto Faculdade de Engenharia, 2007. https://pdfs.semanticscholar.org/d125/cded85c91a05c092eb3100e204cab6400d3a.pdf.
  2. Santos, Jorge. "A interface com o utilizador em sistemas domóticos". Master, Universidade do Porto Faculdade de Engenharia, 1997.
Distinctions

Other distinction

2008 Honorable Mention of the Classification Society Distinguished Dissertation Award 2008