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 | Marcela de Oliveira, Marina Piacenti-Silva, Fernando Rocha, Jorge M. Santos, Jaime S. Cardoso, Paulo N. Lisboa-Filho. "Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients". Diagnostics, 12(2), 230, 2022. |
 | Marcela de Oliveira, Marina 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". 3rd European Congress of Medical Physics (ECMP), 2021. |
| Marcela de Oliveira, Felipe Santinelli, Marina Piacenti-Silva, Fernando Rocha, Fabio Barbieri, Paulo Lisboa-Filho, Jorge M. Santos, Jaime S. Cardoso. "Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks". 11th International Workshop on Biomedical and Health Informatics and International Conference on Bioinformatics and Biomedicine, 2020. |
| Marcela de Oliveira, Marina Piacenti-Silva, Fernando Rocha, Jorge M. Santos, Jaime S. Cardoso, Paulo Lisboa-Filho. "Brain Extraction for Analysis of Magnetic Resonance Imaging in Patients with Multiple Sclerosis". 26th Portuguese Conference on Pattern Recognition, 2020. |
| 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". International Conference on Medical Physics and Biomedical Engineering, ICMPBE2020. |
| Stella Abreu, José Matos, Manuel Cruz, Sandra Ramos, and Jorge Santos, "The Master Degree on Applied Mathematics to Engineering and Finance, School of Engineering, Polytechnic of Porto", P. Quintela et al. (eds.), Progress in Industrial Mathematics at ECMI 2016, 245-251, 2018. |
| Jorge M. Santos and Daniel Dias, "Detection and Quantification of Neuron's Cellular Bodies in C. Elegans", Journal of Image and Graphics, Vol. 4(2), 99-104, 2016. |
| Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre and Jorge M. Santos, "High-Content Analysis of Breast Cancer Using Single Cell Deep Transfer Learning", Journal of Biomolecular Screening, Vol. 21(3), 252-259, 2016. |
| Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre and Jorge M. Santos, "Ensemble of Deep Transfer Learning Classi cation", IWANN2015. |
| RicardoSousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de Sá, Luís A. Alexandre, Jorge Santos and, Luís M. Silva, "Transfer Learning for the Recognition of Immunogold particles in TEM Imaging", IWANN2015. |
| Ana Madureira, Bruno Cunha, João P. Pereira, Silvia Gomes, Ivo Pereira, Jorge M. Santos and Ajith Abraham, "Using Personas for Supporting User Modeling on Scheduling Systems", Proceedings of the International Conference on Hybrid Intelligent Systems, IEEE Press, pp. 279-284, 2014. |
| | Ricardo Sousa, Luis M. Silva, Luis A. Alexandre, Jorge Santos and Joaquim Marques de Sá, "Transfer Learning: Current Status, Trends and Challenges", RECPAD2014. |
| Telmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos, "Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders", International Conference on Machine Learning and Applications, IEEE, Detroit, USA, December 3-6, 2014. |
| Ana Madureira, Jorge M. Santos, Silvia Gomes, Bruno Cunha, João P. Pereira and Ivo Pereira, "Manufacturing Rush Orders Rescheduling: a Supervised Learning based Approach", Proceedings of the Sixth World Congress on Nature and Biologically Inspired Computing, NaBIC 2014. |
| Ana Madureira, Silvia Gomes, Bruno Cunha, João Pereira, Jorge M. Santos and Ivo Pereira, "Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience", Proceedings of the Sixth World Congress on Nature and Biologically Inspired Computing, NaBIC 2014. |
| | Manuel Cruz, Jorge M. Santos, Nuno Cruz, "Using Neural Networks and Support Vector Regression to relate Marchetti Dilatometer Test parameters and Maximum Shear Modulus", Applied Intelligence, Springer, Vol. 2 (1), pp. 135-146, 2015. |
| Telmo Amaral, Luís Silva, Luís Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, and Jorge M. Santos, "Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance", Lecture Notes in Computer Science, Springer, Vol. 8814, pp. 290-300, 2014 |
| Chetak Kandaswamy, Luís Silva, Luís Alexandre, Ricardo Sousa, Jorge M. Santos, Joaquim Marques de Sá, "Improving Transfer Learning Accuracy by Reusing Stacked Denoising Autoencoders", IEEE International Conference on Systems, Man and Cybernetics, 2014. |
| Luís Silva, Jorge M. Santos, J. Marques de Sá, "Classification Performance of Multilayer Perceptrons with Different Risk Functionals", International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing Company, Vol. 28, No. 6, (17 pages), 2014, DOI: 10.1142/S021800141450013X. |
| | Chetak Kandaswamy, Luís Silva, Luís Alexandre, Joaquim Marques de Sá, Jorge M. Santos, "Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference", Lecture Notes in Computer Science, Springer, Vol. 8681, pp. 265-272, 2014. |
| | Jorge M. Santos and Mark Embrechts, "A Family of Two-Dimensional Benchmark Data Sets and its Application to Comparing Different Cluster Validation Indices", Lecture Notes in Computer Science, Springer, Vol. 8495, pp. 41-50, 2014 |
 | Jorge M. Santos, Frederico Morais, "Evaluating Entropic Based Clustering Algorithms on Biomedical Data", Proceedings of MICAI2013, IEEE Press, pp. 194-199, 2013. |
| Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Jorge M. Santos, Joaquim Marques de Sá, "Using Different Cost Functions to Train Stacked Auto-encoders", Proceedings of MICAI2013, IEEE Press, pp. 114-120, 2013. |
| Jorge M. Santos, José Matos, Teresa Araújo, Manuel Cruz, Sandra Ramos, Ana Moura, "An Innovative Degree in Mathematical Engineering in the Portuguese Education System: Submission Process and Evaluation", IEEE, Proceedings of the 1st International Conference of the Portuguese Society for Engineering Education, pp. 1-10, 2013. |
| Manuel Cruz, Jorge M. Santos, Nuno Cruz, "Estimating the Maximum Shear Modulus with Neural Networks", Lecture Notes in Artificial Intelligence, Springer, Vol. 7906, pp. 684-693, 2013. |
| Mark J. Embrechts, Jorge M. Santos, Jonathan Linton, "Random Brains: An ensemble method for feature selection with neural networks", Proceedings of ESANN2013 the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 167-172, 2013. |
 | Joaquim Marques de Sá, Luís M. Silva, Jorge M. Santos, Luís A. Alexandre, "Minimum Error Entropy Classification", Springer, 2012. |
| Tânia Fontes, Vânia Lopes, Luís Silva, Jorge Santos and Joaquim Marques de Sá, “NNIGnets, Neural Networks Software”, 12th International Conference on Engineering Applications of Neural Networks – EANN2011, IFIP Publications 363, pp. 345-350, Springer, 2011. |
 | Luís A. Alexandre, Luís Silva, Jorge M. Santos, Joaquim Marques de Sá, "Experimental Evaluation of Multilayer Perceptrons with Entropic Risk Functionals in Real-World Datasets", Technical Report 2/2011, INEB - Instituto de Engenharia Biomédica, Porto, Portugal, 2011. |
| Manuel Cruz, Jorge M. Santos and Nuno Cruz, “Maximum Shear Modulus Prediction by Marchetti Dilatometer Test Using Neural Networks”, 12th International Conference on Engineering Applications of Neural Networks – EANN2011, IFIP Publications 363, pp. 335-344, Springer, 2011. |
| Jorge M. Santos, Sandra Ramos, “Using a Clustering Similarity Measure for Feature Selection in High Dimensional Data Sets”, ISDA2010, IEEE Computer Society Press, Vol. 1, pp. 900-905, 2010. |
| Jorge M. Santos, Mark Embrechts, “On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification”, Lecture Notes in Computer Science, Springer, Vol. 5769, pp. 175-184, 2009. |
| Luís Silva, Mark Embrechts, Jorge M. Santos, J. Marques de Sá, “The Influence of the Risk Functional in Data Classification with MLPs”, Lecture Notes in Computer Science, Springer, Vol. 5163, pp. 185–194, 2008. |
| Jorge M. Santos, “Matriz de Dissemelhança Entrópica para Classificação Não Supervisionada”, XV Jornadas de Classificação e Análise de Dados, JOCLAD2008, Portugal. |
 | Jorge M. Santos, Joaquim Marques de Sá and Luis A. Alexandre, “LEGClust – A Clustering Algorithm Based on Layered Entropic Subgraphs”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, no. 1, pp. 62-75, 2008. |
 | Jorge M. Santos, “Data Classification with Neural Networks and Entropic Criteria”, PhD Thesis, FEUP - Faculdade de Engenharia da Universidade do Porto, 2007. |
| Jorge M. Santos, Luís A. Alexandre and J. Marques de Sá, “Modular Neural Network Task Decomposition Via Entropic Clustering”, 6th International Conference on Intelligent Systems Design and Applications - ISDA2006, IEEE Computer Society Press, Vol.1, pp. 62-67, 2006. |
| Jorge M. Santos, J. Marques de Sá and Luís A. Alexandre, “Batch-sequential algorithm for neural networks trained with entropic criteria”, Lecture Notes in Computer Science, Springer, Vol. 3697, pp. 91–96, 2005. |
| Jorge M. Santos, J. Marques de Sá and Luís A. Alexandre, “Neural networks trained with the EEM algorithm: Tuning the smoothing parameter”, 6th WSEAS International Conference on Neural Networks, Portugal, pp. 50-55, 2005. |
| Jorge M. Santos, J. Marques de Sá and Luís A. Alexandre, “Neural networks trained with the EEM algorithm: Tuning the smoothing parameter”, WSEAS Transactions on Systems, 4, Vol. 4, pp. 295-300, 2005. |
| Jorge M. Santos and Joaquim Marques de Sá, “Human Clustering on Bi-dimensional Data: An Assessment”, Technical Report, INEB-PSI 2005-1, FEUP/DEEC, Porto, Portugal, 2005. |
| Jorge M. Santos, Luís A. Alexandre and J. Marques de Sá, “The Error Entropy Minimization Algorithm for Neural Network Classification”, Proceedings da conferência internacional RASC – Recent Developments in Soft Computing, Nottingham, United Kingdom, pp. 92-97, 2004. |
| Jorge M. Santos, J. Marques de Sá, Luís A. Alexandre and F. Sereno, “Optimization of The Error Entropy Minimization Algorithm for Neural Network Classification”, Intelligent Engineering Systems Through Artificial Neural Networks, C.H.Dagli, A. L. Buczak, D. L. Enke, M. J. Embrechts and O. Ersoy, ASME Press, Vol. 14, pp.81-86, 2004. |
| Jorge M. Santos, Luís A. Alexandre and J. Marques de Sá, “Neural Network Classification Using Error Entropy Minimization”, Proceedings of the CISI - Conferenza Italiana sui Sistemi Intelligenti, Itália, 2004. |
| Jorge M. Santos, “A Interface com o Utilizador em Sistemas Domóticos”, MSc Thesis, FEUP - Faculdade de Engenharia da Universidade do Porto, 1997. |
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