Departamento de Informática

Luís Alexandre

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Publications


Some of the papers are available online. Click on the title to download.
Most of these papers have copyright restrictions. They can only be used for personal viewing.

The publications' topics are the following (alphabetically):
Topic Paper number
Biometrics 21,25,26,29,33-35,37,38,41,51,53,56-58,61,65,66,72
Classifier Combination (or Decision Fusion) 5,7,9,10,12,83
Deep Learning 69,75,78,79,80,81,82,83,84,90,91,92,94,97,103
Feed-forward Neural Network Learning 15,17-20,22-24,27,31,47,60,63,64,87
Image and Video Processing (includes 3D point cloud processing) 1-3,14,42,46,59,62,68,70,71,73,74,76,77,79,85,86,88,89,91,93
Medical Image Analysis 4,8,28,36,44,98,101
Modular Neural Networks 11-13,16,32
Recurrent Neural Network Learning 30,48,50,52,54
Robotics 95,96,100
Other (includes clustering, compression and decision trees) 6,39,40,43,45,49,55,67,99,102


Publication type (count): Book (4) Journal (19) Conference (74) Thesis (2) Technical report (4)

103. Rafegas,I., Vanrell,M., Alexandre,L.A.
"Understanding trained CNNs by indexing neuron selectivity",
CoRR, abs/1702.00382, 2017.
102. Alexandre, L.A., Salvador Sanchez, J., Rodrigues, J. M. F.
"Introduction to the Special Issue IbPRIA 2017",
Pattern Analysis and Applications, Springer, to appear.
101. Perre, A.C., Alexandre, L.A., Freire, L.C,
"The Influence of Image Normalization in Mammographic Classification with CNNs",
23rd Portuguese Conference on Pattern Recognition, RECPAD 2017, Lisbon, Portugal, October 27, 2017.
100. Lopes, V., Alexandre, L.A.
"Improving Grasping Performance by Segmentation of Large Planar Surfaces",
23rd Portuguese Conference on Pattern Recognition, RECPAD 2017, Lisbon, Portugal, October 27, 2017.
99. Alexandre, L.A., Salvador Sanchez, J., Rodrigues, J. M. F.
"Pattern Recognition and Image Analysis",
Proceedings of the 8th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2017, Faro, Portugal, June 20-23, Springer LNCS 10255, 2017.
98. Perre, A.C., Alexandre, L.A., Freire, L.C.
"Lesion Classification in Mammograms Using Convolutional Neural Networks and Transfer Learning",
VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE, Porto, Portugal, October 18-20, 2017.
97. Falcao, G., Alexandre, L.A., Marques, J., Frazao, X., Maria, J.
"On the Evaluation of Energy-efficient Deep Learning using Stacked Autoencoders on Mobile GPUs",
25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, St. Petersburg, Russia, March 6-8, 2017.
96. Fernandes, M., Alexandre, L.A.
"Dynamic Recognition of Obstacles for Optimal Robot Navigation",
22nd Portuguese Conference on Pattern Recognition, RECPAD 2016, Aveiro, Portugal, October 30, 2016.
95. Fernandes, M., Alexandre, L.A.
"SLAMfusion: Fusing SLAM Methods for Improved Robustness",
IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2016, Bragança, Portugal, May 04-05, 2016.
94. 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, Sage, 2015.
DOI: 10.1177/1087057115623451
93. Alexandre, L.A.
"3D Computer Vision: From Points to Concepts",
Pattern Recognition: Applications and Methods, 4th International Conference, ICPRAM 2015, Lisbon, Portugal, January 10-12, Springer LNCS 9493, 2015.
92. Maria, J., Amaro, J., Falcao, G., Alexandre, L.A.
"Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems",
Neural Processing Letters, Springer, Vol. 41, No. 3, June 2015.
DOI: 10.1007/s11063-015-9430-9
91. Sousa, R., Esteves, T., Rocha, S., Figueiredo, F., Marques de Sá, J.M., Alexandre, L.A., Santos, J., Silva, L.M.
"Transfer Learning for the Recognition of Immunogold Particles in TEM imaging",
International Work-Conference on Artificial and Natural Neural Networks, Springer LNCS 9094, Jun 10, 2015 - Jun 12, 2015.
90. Kandaswamy, C., Silva, L.M, Alexandre, L.A., Santos, J.M.
"Deep Transfer Learning Ensemble for Classification",
International Work-Conference on Artificial and Natural Neural Networks, Springer LNCS 9094, Jun 10, 2015 - Jun 12, 2015.
89. Filipe, S., Itti, L., Alexandre, L.A.
"BIK-BUS: Biologically Motivated 3D Keypoint based on Bottom-Up Saliency"
IEEE Transactions on Image Processing, Vol. 24, Issue 1, p.163-175, January 2015.
DOI: 10.1109/TIP.2014.2371532
88. Filipe, S. , Alexandre, L.A.
"PFBIK-Tracking: Particle Filter with Bio-Inspired Keypoints Tracking",
IEEE Symposium Series on Computational Intelligence, SSCI, Florida, December, 2014.
87. Sousa,R., Silva, L.M., Alexandre, L.A., Santos, J., Marques de Sá, J.
"Transfer Learning: Current Status, Trends and Challenges",
20th Portuguese Conference on Pattern Recognition, RecPad, Covilhã, October 2014.
86. Filipe, S. , Alexandre, L.A.
"A 3D Keypoint Detector based on Biologically Motivated Bottom-Up Saliency Map",
20th Portuguese Conference on Pattern Recognition, RecPad, Covilhã, October 2014.
85. Filipe, S. , Alexandre, L.A.
"A Biological Motivated Multi-Scale Keypoint Detector for local 3D Descriptors",
10th International Symposium on Visual Computing Las Vegas, Nevada, USA, December 8-10, 2014
84. Amaral, T., Kandaswamy, C., Silva, L., Alexandre, L.A, Marques de Sá, J., 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
83. Frazão, X., Alexandre, L.A.
"Weighted Convolutional Neural Network Ensemble",
19th Iberoamerican Congress on Pattern Recognition, Spinger LNCS, Puerto Vallarta, Mexico, November 2-5, 2014
82. Frazão, X., Alexandre, L.A.
"DropAll: Generalization of Two Convolutional Neural Network Regularization Methods"
International Conference on Image Analysis and Recognition, Springer LNCS 8814, pp. 282-289, October 22-24, Vilamoura, Algarve, Portugal, 2014
81. Amaral, T., Silva, L., Alexandre, L.A, Kandaswamy, C., Marques de Sá, J., Santos, J.M.
"Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance",
International Conference on Image Analysis and Recognition, Springer LNCS, October 22-24, Vilamoura, Algarve, Portugal, 2014
80. Kandaswamy, C., Silva, L.M, Alexandre, L.A., Sousa, R., Santos, J.M., Marques de Sá, J.
"Improving Transfer Learning Accuracy by Reusing Stacked Denoising Autoencoders",
IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, San Diego, USA, 2014.
79. 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. BibTeX
List of files used in the experiments and CNN config files.
78. 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 -- ICANN, LNCS Springer, 15-19 September, Hamburg, Germany, 2014.
77. Filipe, S., Alexandre, L.A.
"Algorithms for Invariant Long-Wave Infrared Face Segmentation: Evaluation and Comparison",
Pattern Analysis and Applications, pp. 1-15, Springer, 2013. BibTeX
DOI: 10.1007/s10044-013-0354-6
76. Filipe, S., Alexandre, L.A.
"A Comparative Evaluation of 3D Keypoint Detectors in a RGB-D Object Dataset",
9th International Conference on Computer Vision Theory and Applications, 5-8 January, Lisbon, Portugal, 2014.
75. 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.
74. Alexandre, L.A.
"Set Distance Functions for 3D Object Recognition",
18th Iberoamerican Congress on Pattern Recognition, Springer LNCS 8258, pp. 57-64, November 20-23, Cuba, 2013. BibTeX
List of files used in the experiments
73. Wegrzyn, D., Alexandre, L.A.
"A Genetic Algorithm-Evolved 3D Point Cloud Descriptor",
18th Iberoamerican Congress on Pattern Recognition, Springer LNCS, November 20-23, Cuba, 2013. BibTeX
List of files used in the experiments
72. Thainimit, S., Alexandre, L.A., de Almeida, V.N.M.
"Iris Surface Deformation and Normalization",
13th International Symposium on Communications and Information Technologies, IEEE, September 4-6, Samui Island, Thailand, 2013.
71. Filipe, S., Alexandre, L.A.
"Thermal Infrared Face Segmentation: A New Pose Invariant Method",
6th Iberian Conference on Pattern Recognition and Image Analysis, Springer, LNCS 7887, p.632-639, June 5-7, Madeira, Portugal, 2013. BibTeX
70. Filipe, S., Alexandre, L.A.
"A Comparative Evaluation of 3D Keypoint Detectors",
9th Conference on Telecommunications, Conftele 2013, p. 145-148, May 8-10, Castelo Branco, Portugal, 2013. BibTeX
69. Amaral, T., Alexandre, L.A, Silva, L.
"Using different cost functions when pre-training stacked auto-encoders",
Technical Report 1/2013, INEB - Instituto de Engenharia Biomédica, Porto, Portugal, 2013.
68. Alexandre, L.A.
"3D Descriptors for Object and Category Recognition: a Comparative Evaluation",
Workshop on Color-Depth Camera Fusion in Robotics at the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012, October 7-12, Vilamoura, Portugal, 2012. BibTeX
List of files used in the experiments
67. 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. BibTeX
66. Proença, H., Alexandre, L.A.
"Editorial of the Special Issue On the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move",
Pattern Recognition Letters, Elsevier, Volume 33, Issue 8, 1 June 2012, Pages 963--964.
DOI: j.patrec.2012.03.003
65. Proença, H., Alexandre, L.A.
"Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests",
IEEE Transactions on Information Forensics and Security, Volume 7, Issue 2, Pages 798--808, 2012.
DOI: 10.1109/TIFS.2011.2177659
64. Alexandre, L.A, Silva, L., Santos, J., Marques de Sá, J.
"Experimental evaluation of multilayer perceptrons with entropic risk functionals on real-world datasets",
Technical Report 2/2011, INEB - Instituto de Engenharia Biomédica, Porto, Portugal, 2011.
63. Alexandre, L.A.
"Single layer complex valued neural network with entropic cost function",
20th International Conference on Artificial Neural Networks -- ICANN 2011, Springer LNCS 6791, p.331-338, June 14-17th, Espoo, Finland, 2011. BibTeX
62. Padole, C.N., Alexandre, L.A.
"Motion based Particle Filter for Human Tracking with Thermal Imaging",
3rd International Conference on Emerging Trends in Engineering & Technology -- ICETET10, p.158 - 162, November 19-21, Goa, India, 2010. BibTeX
61. Filipe, S., Alexandre, L.A.
"Improving Face Segmentation in Thermograms using Image Signatures",
15th Iberoamerican Congress on Pattern Recognition -- CIARP 2010, Springer LNCS 6419, p.402-409, November 08-11, São Paulo, Brazil, 2010. BibTeX
60. Silva, L.M., Marques de Sá, J.P., Alexandre, L.A.
"The MEE Principle in Data Classification: A Perceptron-Based Analysis",
Neural Computation, MIT Press, Vol. 22, Number 10, p. 2698-2728, October 2010. BibTeX
DOI: 10.1162/NECO_a_00013
59. Padole, C.N., Alexandre, L.A.
"Wigner Distribution based Motion Tracking of Human Beings using Thermal Imaging",
7th IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum at the IEEE CVPR 2010, San Francisco, June 2010. BibTeX
58. Alexandre, L.A.
"Gender recognition: a multiscale decision fusion approach",
Pattern Recognition Letters, Elsevier, Volume 31, Issue 11, p. 1422-1427, August 2010. BibTeX
DOI: 10.1016/j.patrec.2010.02.010
57. Proença, H., Alexandre, L.A.
"Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move",
Image and Vision Computing, Elsevier, vol. 28, number 2, p.213-214, February 2010.
DOI: 10.1016/j.imavis.2009.09.004
56. Santos, R., Alexandre, L.A.
"Improving Spectroface using Pre-processing and Voting",
IEEE International Conference on Intelligent Computing and Intelligent Systems - ICIS 2009, vol.4, p.552-556, Shanghai, November 2009.
55. Marques de Sá, J.P., Gama, J., Sebastião, R., Alexandre, L.A.
"Decision Trees Using the Minimum Entropy-of-Error Principle",
13th International Conference on Computer Analysis of Images and Patterns - CAIP 2009, LNCS 5702, pp. 799-807, Münster, Germany, September 2009
54. Alexandre, L.A., Embrechts, M.J.
"Reservoir size, spectral radius and connectivity in static classification problems",
19th International Conference on Artificial Neural Networks - ICANN 2009, LNCS 5768, p. 1015-1024, Cyprus, September 2009.
53. Proença, H., Filipe, S., Santos, R., Oliveira, J., Alexandre, L.A.
"The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-The-Move and At-A-Distance" ,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, n. 8, p. 1529-1535, August 2010.
DOI: 10.1109/TPAMI.2009.66
52. Alexandre, L.A., Embrechts, M.J., Linton, J.
"Benchmarking Reservoir Computing on Time-Independent Classification Tasks",
International Joint Conference on Artificial Neural Networks - IJCNN 2009, p.89-93, Atlanta, USA, June 2009.
51. Proença, H., Alexandre, L.A.
"Iris Recognition: Analysis of the Error Rates Regarding the Accuracy of the Segmentation Stage",
Image and Vision Computing, Elsevier, vol.28, number 1, p.245-250, January 2010.
DOI: 10.1016/j.imavis.2009.03.003
50. Embrechts, M.J., Alexandre, L.A, Linton, J.
"Reservoir computing for static pattern recognition",
17th European Symposium on Artificial Neural Networks - ESANN 2009, vol. 1, p. 245-250, Bruges, Belgium, April 2009.
49. Alexandre, L.A
"A Solve-the-Equation Approach for Unidimensional Data Kernel Bandwidth Selection",
Technical Report ISBN 978-989-654-005-0, DI-UBI, Covilhã, Portugal, 2008. Sample C code.
48. Alexandre, L.A.
"Maximizing the Zero-Error Density for RTRL",
8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, Sarajevo, Bosnia and Herzegovina, December 2008.
47. Silva, L.M., Marques de Sá, J.P., Alexandre, L.A.
"Data Classification with Multilayer Perceptrons using a Generalized Error Function",
Neural Networks, Elsevier, vol. 21, n. 9, p. 1302-1310, November 2008.
DOI: 10.1016/j.neunet.2008.04.004
46. Q. Zhang, G. Tolias, B. Mansencal, A. Saracoglu, N. Aginako, A. Alatan, L.A. Alexandre, Y. Avrithis, J. Benois-Pineau, K. Chandramouli, M. Corvaglia, U. Damnjanovic, A. Dimou, E. Esen, N. Fatemi, I. Garcia, F. Guerrin, A. Hanjalic, R. Jarina, P. Kapsalas, P. King, I. Kompatsiaris, L. Makris, V. Mezaris, P. Migliorati, A. Moumtzidou, Ph. Mylonas, U. Naci, S. Nikolopoulos, M. Paralic, T. Piatrik, F. Poulin, A.M.G. Pinheiro, L. Raileanu, E. Spyrou, S. Vrochidis
"COST292 experimental framework for TRECVID 2008",
Proc. TRECVID 2008 Workshop, November 2008, Gaithersburg, MD, USA.
45. Batista, L., Alexandre, L.A.
"Text Pre-processing for Lossless Compression",
IEEE Data Compression Conference, DCC 2008, IEEE Computer Society Press, p.506, March 2008, Snowbird, Utah, USA.
44. Alexandre, L.A., Nobre, N., Casteleiro, J.
"Color and Position versus Texture Features for Endoscopic Polyp Detection",
The International Conference on BioMedical Engineering and Informatics (BMEI2008), IEEE Press, May 2008, p.38-42, Sanya, Hainan, China.
43. Santos, J., Marques Sá, J., Alexandre, L.A.
"LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, n. 1, p.62-75, January, 2008.
DOI: 10.1109/TPAMI.2007.1142
42. Q. Zhang, K. Chandramouli, U. Damnjanovic, T. Piatrik, E. Izquierdo, M. Corvaglia, N. Adami, R. Leonardi, G. Yakin, S. Aksoy, U. Naci, A. Hanjalic, S. Vrochidis, A. Moumtzidou, S. Nikolopoulos, V. Mezaris, L. Makris, I. Kompatsiaris, B. Mansencal, J. Benois-Pineau, E. Esen, A. Alatan, E. Spyrou, P. Kapsalas, G. Tolias, P. Mylonas, Y. Avrithis, B. Reljin, G. Zajic, A.M.G. Pinheiro, L.A. Alexandre, P. Almeida, R. Jarina, M. Kuba, N. Aginako, J. Goya.,
"The COST292 experimental framework for TRECVID 2007",
5th TRECVID Workshop, November 2007, Gaithersburg, MD, USA.
41. Proença, H., Alexandre, L.A.,
"Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments"
3rd International Symposium on Visual Computing - ISVC'07, Springer LNCS 4841, p.621-632, Lake Tahoe, U.S.A., November, 2007.
40. Marques de Sá, J., Alexandre, L.A., Duch, W., Mandic, D. (Eds.)
"Artificial Neural Networks -- ICANN 2007, Proceedings, Part II",
Springer Lecture Notes in Computer Science , Vol. 4669, 17th International Conference on Artificial Neural Networks, Porto, Portugal, September 9-13, 2007.
39. Marques de Sá, J., Alexandre, L.A., Duch, W., Mandic, D. (Eds.)
"Artificial Neural Networks -- ICANN 2007, Proceedings, Part I",
Springer Lecture Notes in Computer Science , Vol. 4668, 17th International Conference on Artificial Neural Networks, Porto, Portugal, September 9-13, 2007.
38. Proença, H., Alexandre, L.A.,
"Iris Recognition: A Method to Increase the Robustness to Noisy Imaging Environments Through the Selection of the Higher Discriminating Features",
IEEE International Conference on Computational Intelligence and Multimedia Applications - ICCIMA'07, vol. 3, p. 301-307, Sivakasi, India, December, 2007.
37. Proença, H., Alexandre, L.A.,
"NICE.I: Noisy Iris Challenge Evaluation - Part I",
IEEE First International Conference on Biometrics: Theory, Applications and Systems, Washington DC, U.S.A., September, 2007
36. Alexandre, L.A., Casteleiro, J., Nobre, N.
"Polyp Detection in Endoscopic Video using SVMs",
11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD, Springer LNAI 4702, p.358-365, Poland, 2007.
35. Proença, H., Alexandre, L.A.,
"Towards Non-Cooperative Iris Recognition: A Classification Approach Using Multiple Signatures",
IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Biometrics, vol. 29, n. 4, p.607-612, April, 2007.
DOI: 10.1109/TPAMI.2007.1016
34. Proença, H., Alexandre, L.A.,
"Iris Recognition: Measuring Feature's Quality for the Feature Selecion in Unconstrained Image Capture Environments",
in IEEE Proceedings of the 2006 International Conference on Computational Intelligence for Homeland Security and Personal Safety - CIHSPS 2006, vol. 1, pag. 35-40, Alexandria, U.S.A., October, 2006.
33. Proença, H., Alexandre, L.A.,
"Iris Recognition: An Analysis of the Aliasing Problem in the Iris Normalization Stage",
International Conference on Computational Intelligence and Security - CIS 2006, IEEE Press, vol.2, p.1771-1774, Guangzhou, China.
32. Santos, J., Alexandre, L.A., Marques Sá, J.,
"Modular Neural Network Task Decomposition Via Entropic Clustering",
6th International Conference on Intelligent Systems Design and Applications - ISDA'06, IEEE Computer Society Press, vol. 1, p. 62-67, Jinan, China, October 2006.
31. Silva, L.M., Alexandre, L.A., Marques de Sá, J.,
"New developments of the Z-EDM algorithm",
6th International Conference on Intelligent Systems Design and Applications - ISDA'06, IEEE Computer Society Press, vol.1, p. 1067-1072, Jinan, China, October 2006.
30. Alexandre, L.A., Marques de Sá, J.
"Error Entropy Minimization for LSTM training",
16th International Conference on Artificial Neural Networks - ICANN 2006, Springer LNCS 4131, part I, p.244-253, Athens, Greece, September 2006.
29. Proença, H., Alexandre, L.A.,
"A Method for the Identification of Noisy Regions in Normalized Iris Images",
18th International Conference on Pattern Recognition - ICPR 2006, IEEE Press, vol.4, p.405-408, Hong Kong, August 2006.
28. Pereira, C., Alexandre, L.A., Mendonça, A.M., Campilho, A.,
"A multiclassifier approach for lung nodule classification"
International Conference on Image Analysis and Recognition - ICIAR 2006, Springer LNCS 4142, p.612-623, Portugal, September 2006.
27. Silva, L.M., Felgueiras, C.A., Alexandre, L.A., Marques de Sá, J.,
"Error Entropy in Classification Problems: A Univariate Data Analysis",
Neural Computation, 18, p.2036-2061, MIT Press, 2006.
DOI: 10.1162/neco.2006.18.9.2036
26. Proença, H., Alexandre, L.A.,
"A method for the identification of inaccuracies in pupil segmentation",
First International Conference on Availability, Reliability and Security - AReS 2006, vol. 1, p. 227-230, IEEE Press, Vienna, Austria, April 2006.
25. Proença, H., Alexandre, L.A.,
"An iris segmentation methodology for non-cooperative recognition",
IEE Proc. Vision, Image & Signal Processing, Vol. 153, Issue 2 , p. 199-205, April 2006.
DOI: 10.1049/ip-vis:20050213
24. Santos, J., Marques de Sá, J., Alexandre, L.A.,
"Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria",
15th International Conference on Artificial Neural Networks- ICANN 2005, Springer LNCS 3697, p. 91-96, Warsaw, Poland, September 2005.
23. Silva, L.M., Alexandre, L.A., Marques de Sá, J.,
"Neural Network Classification: Maximizing Zero-Error Density",
Third International Conference on Advances in Pattern Recognition - ICAPR 2005, Springer LNCS 3686, p. 127-135, Bath, United Kingdom, August 2005.
22. Santos, J., Marques de Sá, J., Alexandre, L.A.,
"Neural Networks Trained with the EEM Algorithm: Tuning the Smoothing Parameter",
6th WSEAS Int. Conference on Neural Networks, vol. 4, p. 295-300, Lisbon, June 2005.
21. Proença, H., Alexandre, L.A.,
"UBIRIS: A noisy iris image database",
13th International Conference on Image Analysis and Processing - ICIAP, vol. 1, Springer LNCS 3617, p. 970-977, Cagliari, Italy, September 2005.
20. Silva, L.M., Marques Sá, J., Alexandre, L.A.,
"Neural Network Classification using Shannon's Entropy",
13th European Symposium on Artificial Neural Networks - ESANN 2005, ISBN 2-930307-05-6, p. 217-222, Bruges, Belgium, 2005.
19. Santos, J., Alexandre, L.A., Marques Sá, J.,
"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, p. 92-97, Nottingham, United Kingdom, December 2004.
18. Santos, J., Alexandre, L.A., Marques Sá, J.,
"Neural Network Classification using Error Entropy Minimization",
In A. Milani, editor, XV Italian Workshop on Neural Network (WIRN-04), Perugia, Italy, September 2004.
17. Santos, J., Alexandre, L.A.,Sereno, F., Marques Sá, J.,
"Optimization of the error entropy minimization algorithm for neural network classification",
ANNIE 2004, Intelligent Engineering Systems Through Artificial Neural Networks, ASME Press Series, Vol. 14, p. 81-86, St.Louis, 2004.
16. Alexandre, L.A., Campilho, A.C., Kamel, M.,
"Bounds for the Average Generalization Error of the Mixture of Experts Neural Network",
5th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2004, Springer LNCS 3138, p. 618-625, Portugal, 2004.
15. Marques de Sá, J.P., Sereno, F., Alexandre, L.A.,
"Neural Network Learning: Testing Bounds on Sample Complexity",
The Fourth International Workshop on Pattern Recognition in Information Systems - PRIS 2004, p. 196-201, Porto, Portugal, 2004.
14. Alexandre, L.A., Pereira, M., Madeira, S.C., Cordeiro, J.P.,Dias, G.
"Web Image Indexing: Combining Image Analysis with Text Processing",
5th International Workshop on Image Analysis for Multimedia Interactive Services - WIAMIS 2004. Lisboa, Portugal, 2004.
13. Alexandre, L.A., Campilho, A.C., Kamel, M.
"A Probabilistic Model for the Cooperative Modular Neural Network",
Proceedings of the IbPRIA 2003, Springer LNCS 2652, p. 11-18, Maiorca, Spain, 2003.
12. Alexandre, L.A.,
"Combining Classifiers. Analysis and Application to Medical Data",
PhD Thesis, FEUP, Portugal, 2002.
11. Alexandre, L.A., Campilho, A.C., Kamel, M.
"Average error bound for the mixture of experts MNN architecture",
Proceedings of the 12th Portuguese Conference on Pattern Recognition, 2002.
10. Ferreira, H., Alexandre, L.A.,
"How to choose the number of classifiers to combine in an ensemble using the maximum combining rule",
TIARP2001, VI Taller Iberoamericano de Reconocimiento de Patrones, ISBN 970-18-7053-0, p. 197-204, Mexico, 2001.
9. Alexandre, L.A., Campilho, A.C., Kamel, M.,
"On combining classifiers using sum and product rules",
Pattern Recognition Letters, vol. 22, n. 12, p. 1283-1289, 2001.
DOI: 10.1016/S0167-8655(01)00073-3
8. Alexandre, L.A., Silva, M.J., Campilho, A.C.,
"Detection of the Occupation of the Costal Diaphragmatic Angle in Chest Radiographs",
Electrónica e Telecomunicações, vol. 3, n. 2, p. 187-192, Aveiro, Portugal, 2000.
7. Alexandre, L.A., Campilho, A.C., Kamel, M.,
"Combining Independent and Unbiased Classifiers Using Weighted Average",
ICPR2000, 15th International Conference on Pattern Recognition, vol. 2, p. 495-498, IEEE Press, Barcelona, Spain, 2000.
6. Campilho, A.C., Mendonça, A.M., Silva, J.A., Correia, M., Alexandre, L.
"Research Activities Developed by the Computer Vision and Image Processing Group",
Foro Iberoamericano de Reconocimiento de Formas y Analisis de Imagenes, ed. Grau, A., p. 217-231, Barcelona, Spain, 2000.
5. Alexandre, L.A., Campilho, A.C., Kamel, M.,
"Combining Unbiased and Independent Classifiers Using Geometric Mean",
Proceedings of the 11th Portuguese Conference on Pattern Recognition, p. 399-401, Porto, Portugal, 2000.
4. Alexandre, L.A., Silva, M.J., Campilho, A.C.,
"Automatic Detection of the Occupation of the Costal Diaphragmatic Angle",
Workshop on Medical Imaging, Aveiro, Portugal, 1999.
3. Alexandre, L.A., Campilho, A.C.,
"A 2D Image Motion Detection Method Using a Stationary Camera",
RECPAD98, 10th Portuguese Conference on Pattern Recognition, Lisbon, Portugal, 1998.
2. Alexandre, L.A.,
"Detecção de Movimento e sua Aplicação à Monitorização de Tráfego Rodoviário",
MSc Thesis, Faculdade de Engenharia da Universidade do Porto, Portugal, 1997.
1. Alexandre, L.A., Campilho, A.C.,
"Detecção de Movimento na Monitorização de Tráfego Rodoviário",
3º Enc. Nac. Colégio Eng. Electro., Exponor, Matosinhos, Portugal, 1997.