Luís A. Alexandre
Person information
- affiliation: Universidade da Beira Interior, Portugal
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2010 – 2019
- 2019
[c54]Vasco Lopes, Nuno Pereira, Luís A. Alexandre:
Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. CVPR Workshops 2019: 0
[c53]Vasco Lopes
, Luís A. Alexandre:
Detecting Robotic Anomalies using RobotChain. ICARSC 2019: 1-6
[c52]António Gaspar
, Luís A. Alexandre
:
A Multimodal Approach to Image Sentiment Analysis. IDEAL (1) 2019: 302-309
[c51]Cesar Pereira, Gabriel Falcão, Luís A. Alexandre:
Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm. PDP 2019: 252-259
[i9]Vasco Lopes, Luís A. Alexandre, Nuno Pereira:
Controlling Robots using Artificial Intelligence and a Consortium Blockchain. CoRR abs/1903.00660 (2019)
[i8]Miguel Fernandes, Luís A. Alexandre:
A Time-Segmented Consortium Blockchain for Robotic Event Registration. CoRR abs/1904.04306 (2019)
[i7]Nuno Pereira, Luís A. Alexandre:
MaskedFusion: Mask-based 6D Object Pose Detection. CoRR abs/1911.07771 (2019)- 2018
[j16]Jose Marques, Gabriel Falcão Paiva Fernandes, Luís A. Alexandre
:
Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures. Applied Artificial Intelligence 32(9-10): 822-844 (2018)
[c50]Abel S. Zacarias
, Luís A. Alexandre
:
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. ANNPR 2018: 102-112
[c49]Ana C. Perre, Luís A. Alexandre, Luis C. Freire:
Exploring Different Normalization and Classification Approaches for Mammography Analysis with CNNs. APPIS 2018: 315-323
[c48]Vasco Lopes
, Luís A. Alexandre, Miguel Fernandes:
"Less is more": Simplifying point clouds to improve grasping performance. ICARSC 2018: 256-260
[c47]Abel S. Zacarias
, Luís A. Alexandre
:
Improving SeNA-CNN by Automating Task Recognition. IDEAL (1) 2018: 711-721
[i6]Abel S. Zacarias, Luís A. Alexandre:
Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. CoRR abs/1802.08250 (2018)
[i5]Vasco Lopes, Luís A. Alexandre:
An Overview of Blockchain Integration with Robotics and Artificial Intelligence. CoRR abs/1810.00329 (2018)- 2017
[c46]Gabriel Falcão, Luís A. Alexandre, J. Marques, Xavier Frazão, Joao Maria:
On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders on Mobile GPUs. PDP 2017: 270-273
[e3]Luís A. Alexandre, José Salvador Sánchez, João M. F. Rodrigues:
Pattern Recognition and Image Analysis - 8th Iberian Conference, IbPRIA 2017, Faro, Portugal, June 20-23, 2017, Proceedings. Lecture Notes in Computer Science 10255, Springer 2017, ISBN 978-3-319-58837-7 [contents]
[i4]Ivet Rafegas, María Vanrell, Luís A. Alexandre:
Understanding trained CNNs by indexing neuron selectivity. CoRR abs/1702.00382 (2017)
[i3]Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva, Joaquim Marques de Sá:
Distribution-Based Categorization of Classifier Transfer Learning. CoRR abs/1712.02159 (2017)
[i2]Jose Marques, Gabriel Falcão, Luís A. Alexandre:
Distributed learning of CNNs on heterogeneous CPU/GPU architectures. CoRR abs/1712.02546 (2017)
[i1]Ricardo Gamelas Sousa, Jorge M. Santos, Luís M. Silva, Luís A. Alexandre, Tiago Esteves, Sara Rocha, Paulo Monjardino, Joaquim Marques de Sá, Francisco Figueiredo, Pedro Quelhas:
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition. CoRR abs/1712.02824 (2017)- 2016
[j15]Joao Maria, Joao Amaro, Gabriel Falcão
, Luís A. Alexandre
:
Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems. Neural Processing Letters 43(2): 445-458 (2016)
[c45]Miguel Fernandes, Luís A. Alexandre:
SLAMfusion: Fusing SLAM Methods for Improved Robustness. ICARSC 2016: 229-234- 2015
[j14]Silvio Filipe, Laurent Itti, Luís A. Alexandre
:
BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency. IEEE Trans. Image Processing 24(1): 163-175 (2015)
[c44]Luís A. Alexandre
:
3D Computer Vision: From Points to Concepts. ICPRAM (Selected Papers) 2015: 3-14
[c43]Luís A. Alexandre:
3D Computer Vision - From Points to Concepts. ICPRAM (1) 2015: IS-11
[c42]Chetak Kandaswamy, Luís M. Silva
, Luís A. Alexandre
, Jorge M. Santos:
Deep Transfer Learning Ensemble for Classification. IWANN (1) 2015: 335-348
[c41]Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha
, Francisco Figueiredo
, Joaquim Marques de Sá, Luís A. Alexandre
, Jorge M. Santos, Luís M. Silva
:
Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. IWANN (1) 2015: 374-384- 2014
[j13]Silvio Filipe, Luís A. Alexandre
:
Algorithms for invariant long-wave infrared face segmentation: evaluation and comparison. Pattern Anal. Appl. 17(4): 823-837 (2014)
[c40]Xavier Frazão, Luís A. Alexandre:
Weighted Convolutional Neural Network Ensemble. CIARP 2014: 674-681
[c39]Silvio Filipe, Luís A. Alexandre
:
PFBIK-tracking: Particle filter with bio-inspired keypoints tracking. CIMSIVP 2014: 114-121
[c38]Luís A. Alexandre
:
3D Object Recognition Using Convolutional Neural Networks with Transfer Learning Between Input Channels. IAS 2014: 889-898
[c37]Chetak Kandaswamy
, Luís M. Silva
, Luís A. Alexandre
, Jorge M. Santos, Joaquim Marques de Sá:
Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. ICANN 2014: 265-272
[c36]Xavier Frazão, Luís A. Alexandre
:
DropAll: Generalization of Two Convolutional Neural Network Regularization Methods. ICIAR (1) 2014: 282-289
[c35]Telmo Amaral, Luís M. Silva
, Luís A. Alexandre
, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos:
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance. ICIAR (1) 2014: 290-300
[c34]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. ICMLA 2014: 367-372
[c33]Silvio Filipe, Luís A. Alexandre:
A Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors. ISVC (1) 2014: 218-227
[c32]Chetak Kandaswamy, Luís M. Silva
, Luís A. Alexandre
, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de Sá:
Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. SMC 2014: 1380-1387
[c31]Silvio Filipe, Luís A. Alexandre:
A Comparative Evaluation of 3D Keypoint Detectors in a RGB-D Object Dataset. VISAPP (1) 2014: 476-483- 2013
[b1]Joaquim Marques de Sá, Luís M. Silva
, Jorge M. Santos, Luís A. Alexandre
:
Minimum Error Entropy Classification. Studies in Computational Intelligence 420, Springer 2013, ISBN 978-3-642-29028-2, pp. 1-213
[c30]Luís A. Alexandre
:
Set Distance Functions for 3D Object Recognition. CIARP (1) 2013: 57-64
[c29]Dominik Wegrzyn, Luís A. Alexandre
:
A Genetic Algorithm-Evolved 3D Point Cloud Descriptor. CIARP (1) 2013: 92-99
[c28]Silvio Filipe, Luís A. Alexandre
:
Thermal Infrared Face Segmentation: A New Pose Invariant Method. IbPRIA 2013: 632-639
[c27]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. MICAI (Special Sessions) 2013: 114-120- 2012
[j12]Hugo Proença, Luís A. Alexandre
:
Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. Pattern Recognit. Lett. 33(8): 963-964 (2012)
[j11]Hugo Proença
, Luís A. Alexandre
:
Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests. IEEE Trans. Information Forensics and Security 7(2): 798-808 (2012)- 2011
[c26]Luís A. Alexandre
:
Single Layer Complex Valued Neural Network with Entropic Cost Function. ICANN (1) 2011: 331-338- 2010
[j10]Hugo Proença
, Luís A. Alexandre
:
Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage. Image Vis. Comput. 28(1): 202-206 (2010)
[j9]Hugo Proença
, Luís A. Alexandre
:
Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. Image Vis. Comput. 28(2): 213-214 (2010)
[j8]Luís M. Silva
, Joaquim Marques de Sá, Luís A. Alexandre
:
The MEE Principle in Data Classification: A Perceptron-Based Analysis. Neural Computation 22(10): 2698-2728 (2010)
[j7]Hugo Proença
, Silvio Filipe, Ricardo Santos, Joao Oliveira, Luís A. Alexandre
:
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1529-1535 (2010)
[j6]Luís A. Alexandre
:
Gender recognition: A multiscale decision fusion approach. Pattern Recognit. Lett. 31(11): 1422-1427 (2010)
[c25]Silvio Filipe, Luís A. Alexandre
:
Improving Face Segmentation in Thermograms Using Image Signatures. CIARP 2010: 402-409
[c24]Chandrashekhar N. Padole, Luís A. Alexandre
:
Motion Based Particle Filter for Human Tracking with Thermal Imaging. ICETET 2010: 158-162
2000 – 2009
- 2009
[c23]Joaquim Marques de Sá, João Gama
, Raquel Sebastião
, Luís A. Alexandre
:
Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP 2009: 799-807
[c22]Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton:
Reservoir computing for static pattern recognition. ESANN 2009
[c21]Luís A. Alexandre
, Mark J. Embrechts:
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. ICANN (1) 2009: 1015-1024
[c20]Luís A. Alexandre
, Mark J. Embrechts, Jonathan D. Linton
:
Benchmarking reservoir computing on time-independent classification tasks. IJCNN 2009: 89-93- 2008
[j5]Luís M. Silva
, Joaquim Marques de Sá, Luís A. Alexandre
:
Data classification with multilayer perceptrons using a generalized error function. Neural Networks 21(9): 1302-1310 (2008)
[j4]Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
:
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs. IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 62-75 (2008)
[c19]Luís A. Alexandre
, Nuno Nobre, João Casteleiro:
Color and Position versus Texture Features for Endoscopic Polyp Detection. BMEI (2) 2008: 38-42
[c18]Luís Batista, Luís A. Alexandre:
Text Pre-processing for Lossless Compression. DCC 2008: 506- 2007
[j3]Hugo Proença
, Luís A. Alexandre
:
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 607-612 (2007)
[c17]Hugo Proença, Luís A. Alexandre:
Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments. ISVC (1) 2007: 621-632
[c16]Luís A. Alexandre, João Casteleiro, Nuno Nobreinst:
Polyp Detection in Endoscopic Video Using SVMs. PKDD 2007: 358-365
[e2]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4668, Springer 2007, ISBN 978-3-540-74689-8 [contents]
[e1]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4669, Springer 2007, ISBN 978-3-540-74693-5 [contents]- 2006
[j2]Luís M. Silva
, Carlos S. Felgueiras, Luís A. Alexandre
, Joaquim Marques de Sá:
Error Entropy in Classification Problems: A Univariate Data Analysis. Neural Computation 18(9): 2036-2061 (2006)
[c15]Hugo Proença
, Luís A. Alexandre
:
A Method for the Identification of Inaccuracies in Pupil Segmentation. ARES 2006: 224-228
[c14]Luís A. Alexandre, Joaquim Marques de Sá:
Error Entropy Minimization for LSTM Training. ICANN (1) 2006: 244-253
[c13]Carlos S. Pereira, Luís A. Alexandre, Ana Maria Mendonça
, Aurélio C. Campilho
:
A Multiclassifier Approach for Lung Nodule Classification. ICIAR (2) 2006: 612-623
[c12]Hugo Proença
, Luís A. Alexandre
:
A Method for the Identification of Noisy Regions in Normalized Iris Images. ICPR (4) 2006: 405-408
[c11]Jorge M. Santos, Luís A. Alexandre
, Joaquim Marques de Sá:
Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) 2006: 62-67
[c10]Luís M. Silva
, Joaquim Marques de Sá, Luís A. Alexandre
:
New developments of the Z-EDM algorithm. ISDA (1) 2006: 1067-1072- 2005
[c9]Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre:
Neural network classification using Shannon's entropy. ESANN 2005: 217-222
[c8]Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre:
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. ICANN (2) 2005: 91-96
[c7]Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá:
Neural Network Classification: Maximizing Zero-Error Density. ICAPR (1) 2005: 127-135
[c6]Hugo Proença, Luís A. Alexandre:
UBIRIS: A Noisy Iris Image Database. ICIAP 2005: 970-977- 2004
[c5]Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre:
Neural Network Learning: Testing Bounds on Sample Complexity. PRIS 2004: 196-201
[c4]Luís A. Alexandre, Aurélio C. Campilho
, Mohamed S. Kamel:
Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. SSPR/SPR 2004: 618-625
[c3]Jorge M. Santos, Luís A. Alexandre
, Joaquim Marques de Sá:
Neural Network Classification Using Error Entropy Minimization. WIRN 2004: 291-297- 2003
[c2]Luís A. Alexandre, Aurélio C. Campilho
, Mohamed S. Kamel:
A Probabilistic Model for the Cooperative Modular Neural Network. IbPRIA 2003: 11-18- 2001
[j1]Luís A. Alexandre
, Aurélio C. Campilho
, Mohamed S. Kamel
:
On combining classifiers using sum and product rules. Pattern Recognit. Lett. 22(12): 1283-1289 (2001)- 2000
[c1]Luís A. Alexandre, Aurélio C. Campilho
, Mohamed S. Kamel:
Combining Independent and Unbiased Classifiers Using Weighted Average. ICPR 2000: 2495-2498
Coauthor Index

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