2015

  • "Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition" (submitted) [supplementary information] [Data]
  • Sousa,  Ricardo Gamelas, Joaquim Marques de Sá, Luis A. Alexandre, Jorge M. Santos, Luis M. Silva. "Classifier Transfer Learning: A Survey Towards A Unifying View". (submitted)
  • Kandaswamy, Chetak, Luís M. Silva, Luís A. Alexandre, and Jorge M. Santos. "High-content Analysis of Breast Cancer using Single-Cell Deep Transfer Learning". (submitted) [Code] [Data]
  • Sousa. Ricardo Gamelas, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Pedro Quelhas, and Luís M. Silva. "Automatic Detection of Immunogold Particles from Electron Microscopy Images". In proceedings, ICIAR, July 22-24, 2015 – Niagara Falls, Canada, (Accepted)

  • Sousa. Ricardo Gamelas, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim M. de Sá, Luís A. Alexandre, Jorge M. Santos, and Luis M. Silva. "Transfer Learning for the Recognition of Immunogold Particles in TEM imaging."  In Advances in Computational Intelligence, IWANN. Springer International Publishing, 2015. DOI: 10.1007/978-3-319-19258-1_32 [pdf].
  • Kandaswamy, Chetak, Luís M. Silva, Luís A. Alexandre, and Jorge M. Santos. "Deep Transfer Learning Ensemble for Classification." In Advances in Computational Intelligence, IWANN, pp. 335-348. Springer International Publishing, 2015. DOI: 10.1007/978-3-319-19258-1_29 [pdf].

  • Kandaswamy, Chetak, Luís M. Silva, and Jaime S. Cardoso. "Source-target-source classification using Stacked Denoising Autoencoders." In Pattern Recognition and Image Analysis, IbPRIA, pp. 39-47. Springer International Publishing, 2015. DOI: 10.1007/978-3-319-19390-8_5 [pdf]

  • Kandaswamy, Chetak, Luís M. Silva, Jaime S Cardoso. "Improving Classification Accuracy of Deep Neural Networks by Transferring Features from a Different Distribution", 20th edition of the Portuguese Conference on Pattern Recognition, University of Beira Interior, Covilhã, 2014. [pdf].

2014

  • Amaral.T., Silva.L. M., Alexandre.L. A., Kandaswamy. C. Marques de Sá. J., and Santos. J. M. "Transfer learning using rotated image data to improve deep neural network performance". 11th International Conference, ICIAR 2014, Vilamoura, Portugal, Vol 1, pp 290-300, October 22-24, 2014. DOI: 10.1007/978-3-319-11758-4_32 [pdf]
  • Kandaswamy.C., Silva. L. M., Alexandre.L. A., Sousa. R., Marques de Sá. J., Santos. J. M. "Improving Transfer Learning Accuracy by Reusing Stacked Denoising Autoencoders" IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, San Diego, CA, USA, 2014. DOI: 10.1109/SMC.2014.6974107. [pdf]
  • Amaral. T., Marques de Sá. J., Silva. L. M., Alexandre.L. A., and Santos J. M. 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. DOI: 10.1109/ICMLA.2014.65. [pdf]

  • Alexandre.L.A. "3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels", 13th International Conference on Intelligent Autonomous Systems, Springer, July 15-18, Padova, Italy, 2014. [pdf]
  • Kandaswamy. C.,  Silva. L.M., Alexandre.L.A., Santos.J.M., Marques de Sá. J. "Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference", 24th International Conference on Artificial Neural Networks, Hamburg, Germany, LNCS Springer,  pp 265-272, September 15-19, 2014.DOI:10.1007/978-3-319-11179-7_34    [pdf] 

  • Kandaswamy, Chetak, Luís M. Silva, Jaime S Cardoso. "Improving Classification Accuracy of Deep Neural Networks by Transferring Features from a Different Distribution", 20th edition of the Portuguese Conference on Pattern Recognition, University of Beira Interior, Covilhã, 2014. [pdf].
  • Sousa, Ricardo, Luis M. Silva, Luis A. Alexandre, Jorge Santos, and Joaquim Marques de Sá. "Transfer Learning: Current Status, Trends and Challenges." 20th edition of the Portuguese Conference on Pattern Recognition, University of Beira Interior, Covilhã, 2014. [pdf].

 

2013

  • Amaral, T., Silva, L., Alexandre, L.A, Kandaswamy, C., Santos, J.M., Marques de Sá, J. "Using different cost functions to train stacked auto-encoders",12th Mexican International Conference on Artificial Intelligence, IEEE, November 24-30, 2013, Mexico City, Mexico, 2013. [pdf]

  • Tânia Fontes, Luís M. Silva, Sérgio R. Pereira, Margarida C. Coelho. Application of artificial neural networks to predict the impact of traffic emissions on human health. Accepted for the XVI Portuguese conference on Artificial Intelligence, Angra do Heroísmo, Açores, Setembro de 2013. [pdf]

  • Telmo Amaral.  Experiments with a restricted Boltzmann machine. NNIG-INEB Technical Report 1/2012. [pdf]

  • Telmo Amaral, Luís M. Silva, Luís A. Alexandre. Using different cost functions when pre-training stacked auto-encoders.  NNIG-INEB Technical Report 1/2013. [pdf]

  • Chetak Kandaswamy, Telmo Amaral. Tuning Parameters of Deep Neural Network Algorithm for identifying best Cost function.  NNIG-INEB Technical Report 2/2013. [pdf]

 

2012

  •  Marques de Sá, J., Silva, L.M., Santos, J.M., Alexandre, L.A. "Minimum Error Entropy Classification". Studies in Computational Intelligence, vol.420, Springer, 2012.[pdf]

 

2011

  • L. Silva, J. M. Santos and J. Marques de Sá. (2011). Classification Performance Multilayer Perceptrons w/ Different Risk Functionals.

  • J. Marques de Sá, T. Fontes, R. Sebastião and J. Gama CIARP - 16th Iberoamerican Congress on Pattern Recognition . (2011). New Results on Minimum Error Entropy Decision Trees.

  • J. Marques de Sá, J. Gama and R. Sebastião Canadian J. on Artificial Intelligence, Machine Learning and Pattern Recognition . (2011). Tree Classifiers Based on Minimum Error Entropy Decisions.

  • T. Fontes, Vânia Lopes, L. Silva, J. M. Santos and J. Marques de Sá. (2011). Engineering Applications of Neural Networks. 978(363), pp.345-350.

 

 2010

  • Luís M. Silva, J. Marques de Sá, and Luís A. Alexandre. The mee principle in data classification: A perceptron-based analysis. Neural Comput. 22, 10 2698-2728. [pdf]

  • 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. [pdf]

 

 2009

  • J. Marques de Sá. (2009). Optimal Parzen Window Estimation and PDF Modelling. NNIG - INEB - Techical Report 1/2009. [pdf]

  • J. Marques de Sá. (2009). MEE Trees. NNIG - INEB - Techical Report 2/2009. [pdf]

  • A. Ferreira, N. Figueiredo, A. Tomé and P. Georgieva. (2009). Advances in Electroencephalogram (EEG) – based Biometry. NNIG - INEB - Techical Report 3/2009.

  • J. Marques de Sá, J. Gama, R. Sebastião and L. A. Alexandre 13th International Conference on Computer Analysis of Images and Patterns - CAIP 2009 . (2009). Decision Trees Using the Minimum Entropy-of-Error Principle. [pdf]

 

 2008

  • Luís M. Silva, J. Marques de Sá, Luís A. Alexandre, Data classification with multilayer perceptrons using a generalized error function, Neural Networks, Volume 21, Issue 9, November 2008, Pages 1302-1310, ISSN 0893-6080, 10.1016/j.neunet.2008.04.004. [pdf]

  • Santos, J.M.; de Sa, J.M.; Alexandre, L.A.; , "LEGClust—A Clustering Algorithm Based on Layered Entropic Subgraphs," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.30, no.1, pp.62-75, Jan. 2008. [pdf]

  • A. Oliveira. (2008). Optimização da Aplicação NNIG-Nets MLP e Desenvolvimento da . NNIG - INEB - Techical Report 1/2008. [pdf]

  • L. Silva, M. Embrechts, J. M. Santos and J. Marques de Sá Proceedings of the 18th international Conference on Artificial Neural Networks, Part I . (2008). The Influence of the Risk Functional in Data Classification . [pdf]

  • L. A. Alexandre 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT . (2008). Maximizing the Zero-Error Density for RTRL. [pdf]

  • L. Silva. (2008). Neural Networks with Error-Density Risk Functionals for Data. [pdf]

  • L. A. Alexandre. (2008). A Solve-the-Equation Approach for Unidimensional Data Kernel. NNIG - INEB - Techical Report 3/2008

  • L. A. Alexandre. (2008). EEG Processing. NNIG - INEB - Techical Report 2/2008. [pdf]

  • L. A. Alexandre. (2008). Maximizing the Zero-Error Density for RTRL. NNIG - INEB - Techical Report 4/2008. [pdf]

  • J. Marques de Sá. (2008). MSE, CE and MEE. NNIG - INEB - Techical Report 5/2008. [pdf]

  • R. Goya-Esteban, J. Marques de Sá, J. Rojo Álvarez and O. Barquero Pérez. Characterization of Heart Rate Variability Loss with Aging and Heart Failure Using Sample Entropy. Computing in Cardiology. Vol. 35 : 41 - 44. Bologna, Italy. September, 2008. [pdf]

  • O. Barquero Pérez, J. Marques de Sá, J. Rojo Álvarez and R. Goya-Esteban. Changes in Detrended Fluctuation Indices with Aging in Healthy and Congestive Heart Failure Subjects. Computers in Cardiology 2008. Vol. 35. Bologna, Italy. IEEE Computer Society Press. September, 2008. [pdf]

  • O. Barquero Pérez, J. Marques de Sá, J. Rojo Álvarez and R. Goya-Esteban. Efectos de la Edad Sobre la Estructura Fractal de la Variabilidad de Frecuencia Cardiaca. XXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Valladolid, Spain. October, 2008. [pdf]

  • R. Goya-Esteban, J. Marques de Sá, J. Rojo Álvarez and O. Barquero Pérez. Estudio del Efecto del Umbral en la Entropia Muestral: Aplicacion a la Variabilidad de Frecuencia Cardiaca. XXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Pages 521- 524. Valladolid, Spain. October, 2008. [pdf]

 

 2007

  • J. Marques de Sá. (2007). Regularization. An introduction. NNIG - INEB - Techical Report 2/2007. [pdf]

  • L. Silva. (2007). Data Classification with the Linear Perceptron And the EEM P. NNIG - INEB - Techical Report 3/2007. [pdf]

  • L. Silva. (2007). Data Classification with the Linear Perceptron And the EEM P. NNIG - INEB - Techical Report 4/2007. [pdf]

  • L. Silva. (2007). Resilient Methods for Shannon Entropy. NNIG - INEB - Techical Report 5/2007. [pdf]

  • A. Oliveira. (2007). Ferramenta Computacional para Implementação de Redes Neurona. NNIG - INEB - Techical Report 1/2007.

  • P. Georgieva, C. Oliveira and F. Rocha. (2007). Process Modeling Strategy Combining Analytical and Data Base. NNIG - INEB - Techical Report 6/2007. [pdf]

  • J. M. Santos. (2007). Data Classification with Neural Networks and Entropic Criter. [pdf]

  • C. Fonseca, J. Cunha, R. Martins, V. Ferreira, J. Marques de Sa, M. Barbosa and A. Martins da Silva. A novel dry active electrode for EEG recording. IEEE Transactions on Biomedical Engineering. Vol. 54(1): 162–165. 2007.. [pdf]

 

 2006

  • J. M. Santos, L. A. Alexandre, and J. Marques de Sá. Modular neural network task decomposition via entropic clustering. In 6th International Conference on Intelligent Systems Design and Applications (ISDA'06), volume 1, pages 62-67, Jinan, China, October 2006. [pdf]

  • L. M. Silva, L. A. Alexandre, and J. Marques de Sá. New developments of the z-edm algorithm. In 6th International Conference on Intelligent Systems Design and Applications (ISDA'06), volume 1, pages 1067-1072, Jinan, China, October 2006. [pdf]

  • L. A. Alexandre and J. Marques de Sá. Error entropy minimization for LSTM trainig. In 16th International Conference on Artificial Neural Networks - ICANN 2006, volume 1 of LNCS 4131, pages 244-253, Athens, Greece, September 2006. Springer. [pdf]

  • L. M. Silva, C. S. Felgueiras, L. A. Alexandre, and J. Marques de Sá. Error entropy in classification problems: a univariate data analysis. Neural Computation, 18:2036-2061, September 2006. [pdf]

  • J. Marques de Sá. (2006). MLE, MSE et alia. NNIG - INEB - Techical Report 1/2006. [pdf]

  • J. Marques de Sá. (2006). Nonparametric Density and Entropy Estimation (with a Focus . NNIG - INEB - Techical Report 3/2006. [pdf]

  • J. Marques de Sá. (2006). No Free Lunch Theorems. An Introduction . NNIG - INEB - Techical Report 4/2006. [pdf]

  • A. Oliveira. (2006). Neural Network Software Tool Development: Exploring Programm. NNIG - INEB - Techical Report 5/2006. [pdf]

  • L. Silva. (2006). PDF Estimation Methods. NNIG - INEB - Techical Report 7/2006. [pdf]

  • A. Oliveira. (2006). Neural Network Software Tool Development in C#. NNIG - INEB - Techical Report 6/2006. [pdf]

  • L. A. Alexandre and J. Marques de Sá 16th International Conference on Artificial Neural Networks, LNCS . (2006). Error entropy minimization for LSTM training. [pdf]

  • P. Georgieva. (2006). ANN Application in Process Modeling and Control Sugar Crysta. NNIG - INEB - Techical Report 8/2006.

  • P. Georgieva. (2006). Application of Modular Neural Networks for Modeling Cell Rea. NNIG - INEB - Techical Report 9/2006.

  • L. A. Alexandre. (2006). Data Compression Using NNs. NNIG - INEB - Techical Report 10/2006. [pdf]

 

 2005

  • J. M. Santos and J. Marques de Sá. Human clustering on bi-dimensional data: An assessment. Technical Report 2005-1, INEB-PSI, FEUP/DEEC, Rua Dr. Roberto Frias, 4200-645 Porto, Portugal, October 2005. [pdf]

  • J. M. Santos, J. Marques de Sá, and L. A. Alexandre. Batch-sequential algorithm for neural networks trained with entropic criteria. In International Conference on Artificial Neural Networks, Warsaw, Poland, September 2005.. [pdf]

  • L. M. Silva, L. A. Alexandre, and J. Marques de Sá. Neural network classification: Maximizing zero-error density. In International Conference on Advances in Pattern Recognition, Bath, United Kingdom, August 2005. [pdf]

  • J. M. Santos, J. Marques de Sá, and L. A. Alexandre. Neural networks trained with the EEM algorithm: Tuning the smoothing parameter. In WSEAS International Conference on Neural Networks, Lisbon, Portugal, June 2005. [pdf]

  • L. M. Silva, J. Marques de Sá, and L. A. Alexandre. Neural network classification using shannon's entropy. In 13th European Symposium on Artificial Neural Networks, pages 217-222, Bruges, Belgium, April 2005. [pdf]

  • J. Marques de Sá and C. Felgueiras. Perceptron learning with discrete weights. In 13th European Symposium on Artificial Neural Networks, pages 235-240, Bruges, Belgium, April 2005. [pdf]

  • J. M. Santos and J. Marques de Sá. (2005). Human Clustering on Bi-Dimensional Data: An Assessment. NNIG - INEB - Techical Report 1/2005. [pdf]

  • J. Marques de Sá. (2005). Estimação de FDPs. NNIG - INEB - Techical Report 2/2005. [pdf]

  • L. Silva, J. Marques de Sá and L. A. Alexandre European Symposium on Artificial Neural Networks . (2005). Neural Network Classification using Shannon’s Entropy. [pdf]

 

 2004

  • J. M. Santos, L. A. Alexandre, and J. Marques de Sá. The error entropy minimization algorithm for neural network classification. In Ahmad Lofti, editor, Proceedings of the 5th International Conference on Recent Advances in Soft Computing, pages 92-97, Nottingham, United Kingdom, December 2004. [pdf]

  • J. M. Santos, J. Marques de Sá, L. A. Alexandre, and F. Sereno. Optimization of the error entropy minimization algorithm for neural network classification. In ANNIE 2004, volume 14 of Intelligent Engineering Systems Through Artificial Neural Networks, pages 81-86, St. Louis, USA, November 2004. ASME Press. [pdf]

  • J. M. Santos, L. A. Alexandre, and J. Marques de Sá. Neural network classification using error entropy minimization. In A. Milani, editor, XV Italian Workshop on Neural Network (WIRN-04), Perugia, Italy, September 2004. [pdf]

  • J. Marques de Sá, F. Sereno, and L. A. Alexandre. Neural network learning: Testing bounds on sample complexity. In PRIS-2004 4th International Workshop on Pattern Recognition in Information Systems, Porto, Portugal, April 2004. [pdf]

  • J. Marques de Sá. (2004). Learning Bounds. NNIG - INEB - Techical Report 1/2004. [pdf]

  • L. Silva. (2004). Empirical Study of MLP in Classification. NNIG - INEB - Techical Report 2/2004. [pdf]

 

 2003

  • J. Marques de Sá. (2003). Introduction to Statistical Learning Theory PART I – Basic . NNIG - INEB - Techical Report 1/2003. [pdf]

  • F. Sereno and J. Marques de Sá. (2003). Introduction to Statistical Learning Theory PART II – Data . NNIG - INEB - Techical Report 2/2003. [pdf]

  • J. Marques de Sá. (2003). Introdução à Teoria da Medida. NNIG - INEB - Techical Report 3/2003. [pdf]

  • J. M. Santos. (2003). Information Theoretical Learning. NNIG - INEB - Techical Report 4/2003. [pdf]

  • J. Marques de Sá. (2003). Estudo sobre a Capacidade de Aprendizagem das Redes Neuronai. NNIG - INEB - Techical Report 5/2003. [pdf]