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NOVA LINCS Group: Intelligent Systems. Research Topics: Pattern Recognition; Computer vision; Neural Networks. Google Scholar: http://scholar.google.pt/citations?user=lG8XbuEAAAAJ&hl=pt-PT Luís Alexandre completed the Habilitation degree in Computer Engineering in 2013 from the University of Beira Interior, the PhD in Electrical and Computer Engineering in 2002 from the University of Porto Faculty of Engineering, Master's degree in Electrical and Computer Engineering in 1997 from the University of Porto Faculty of Engineering and Degree in Physics/Applied Mathematics in 1994 from the University of Porto, Faculty of Sciences. He is a Full Professor at the University of Beira Interior, Department of Informatics. He has over 150 publications with over 5400 citations (Google Scholar). For an always up-to-date version of his CV please check http://www.di.ubi.pt/~lfbaa Selected Publications: -Lopes, V., Alexandre, L.A. "Towards Less Constrained Macro-Neural Architecture Search", IEEE Transactions on Neural Networks and Learning Systems, 2023; -Alirezazadeh, S., Alexandre, L.A. "Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems", IEEE Transactions on Parallel and Distributed Systems, 2023; -Correia, A., Alexandre, L.A. "Hierarchical Decision Transformer", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, USA, October 1-5, 2023; -Mousavirad, S.J., Alexandre, L.A., "Energy-Aware JPEG Image Compression: A Multi-Objective Approach", Applied Soft Computing, 2023; -Alirezazadeh, S., Alexandre, L.A., "Optimal Algorithm Allocation for Single Robot Cloud Systems", IEEE Transactions on Cloud Computing, 2021.
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Identification

Personal identification

Full name
Luís Filipe Barbosa de Almeida Alexandre

Citation names

  • Luís A. Alexandre

Author identifiers

Ciência ID
2014-0F06-A3E3
ORCID iD
0000-0002-5133-5025

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
French Intermediate (B1) Intermediate (B1) Intermediate (B1) Upper intermediate (B2) Intermediate (B1)
Spanish; Castilian Intermediate (B1) Upper intermediate (B2) Intermediate (B1) Upper intermediate (B2) Intermediate (B1)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2013/05 - 2013/05
Concluded
 Engenharia Informática (Título de Agregado)
Universidade da Beira Interior, Portugal
2002
Concluded
 Engenharia Electrotécnica e de Computadores (Doutoramento)
Major in Sem especialidade
Universidade do Porto Faculdade de Engenharia, Portugal
"Combining Classifiers. Analysis and Application to Medical Data" (THESIS/DISSERTATION)
1995 - 1997
Concluded
 Engenharia Electrotécnica e de Computadores (Mestrado)
Major in Informática Industrial
Universidade do Porto Faculdade de Engenharia, Portugal
1989 - 1994
Concluded
 Física/Matemática Aplicada (Licenciatura)
Universidade do Porto Faculdade de Ciências, Portugal
Affiliation

Science

Category
Host institution 		Employer
2020/01/01 - Current Researcher (Research) Universidade Nova de Lisboa Laboratório para a Ciência da Computação e Informática, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2015 - Current Full Professor (University Teacher) Universidade da Beira Interior, Portugal
2009 - 2015 Associate Professor (University Teacher) Universidade da Beira Interior, Portugal
2002 - 2009 Assistant Professor (University Teacher) Universidade da Beira Interior, Portugal
2002 - 2003 Invited Assistant Professor (University Teacher) Universidade Católica Portuguesa Centro Regional de Viseu, Portugal
1997 - 2002 Assistant (University Teacher) Universidade da Beira Interior, Portugal
1996 - 1997 Trainee Assistant (University Teacher) Universidade da Beira Interior, Portugal

Positions / Appointments

Category
Host institution 		Employer
2017 - 2021 Conselho científico/técnico-científico ou orgão correspondente Universidade da Beira Interior, Portugal
2013 - 2015 Conselho científico/técnico-científico ou orgão correspondente Universidade da Beira Interior, Portugal
2013 - 2015 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade da Beira Interior, Portugal
2013 - 2015 Conselho científico/técnico-científico ou orgão correspondente Universidade da Beira Interior, Portugal
2013 - 2015 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade da Beira Interior, Portugal
Projects

Contract

Designation Funders
2018/07/16 - 2021/07/15 Sistema de Processamento Dedicado para Aprendizagem Profunda
PTDC/EEI-HAC/30485/2017
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Instituto de Telecomunicações, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2018/07/01 - 2021/06/30 Monitorização Virtual de Multidões em Cidades Inteligentes
PTDC/EEI-AUT/28918/2017
Universidade da Beira Interior, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2012/05/06 - 2015/09/30 Redes Neuronais Profundas reutilizáveis: aplicações a dados biomédicos.
PTDC/EIA-EIA/119004/2010
Universidade da Beira Interior, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2010/05/03 - 2013/11/02 NECOVID: Identificação Biométrica Negativa e Surreptícia
PTDC/EIA-EIA/103945/2008
Universidade da Beira Interior, Portugal

Instituto de Telecomunicações, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2007/10/15 - 2011/03/31 BioRec - Reconhecimento Biométrico Não-Cooperativo Multimodal
PTDC/EIA/69106/2006
Universidade da Beira Interior, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2005/06/01 - 2008/11/30 EntNets - Redes Neuronais Entrópicas para a Análise de Dados Médicos e Biológicos
POSC/EIA/56918/2004
Universidade da Beira Interior, Portugal
 Fundação para a Ciência e a Tecnologia
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.
    Published • 10.1007/978-3-642-29029-9
Conference paper
  1. Luís A. Alexandre; Wlodzislaw Duch. "Schizophrenia Detection Using EEG: A Study on Frequency Relevance". 2024.
    10.1109/CEC60901.2024.10612161
  2. Correia, André; Luís A. Alexandre. "DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety". Paper presented in The 31th European Symposium on Artificial Neural Networks (ESANN), Bruges, 2023.
    Published • https://doi.org/10.14428/esann/2023.ES2023-97
  3. Correia, André; Alexandre, Luis A.. "Hierarchical Decision Transformer". Paper presented in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, 2023.
    Published • 10.1109/iros55552.2023.10342230
  4. Wlodzislaw Duch; Krzysztof Tolpa; Ewa Ratajczak; Marcin Hajnowski; Lukasz Furman; Luís A. Alexandre. "Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics". Paper presented in International Conference on Neural Information Processing (ICONIP 2023), Changsha, 2023.
    Published • 10.1007/978-981-99-8138-0_34
  5. Abel Zacarias; Luís A. Alexandre. "CILDI: Class Incremental Learning with Distilled Images". Paper presented in International Conference on Soft Computing and Machine Intelligence, Toronto, 2022.
    Published • 10.1109/ISCMI56532.2022.10068463
  6. Diandre de Paula; Luís A. Alexandre. "Facial Emotion Recognition for Sentiment Analysis of Social Media Data". Paper presented in Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2022), Aveiro, 2022.
    Published • 10.1007/978-3-031-04881-4_17
  7. Correia, Andre; Alexandre, Luis A.. "Multi-View Contrastive Learning from Demonstrations". Paper presented in Sixth IEEE International Conference on Robotic Computing (IRC 2022), Naples, 2022.
    Published • 10.1109/irc55401.2022.00067
  8. Pereira, Nuno; Alexandre, Luis A.. "An Efficient Pick-and-Place Pipeline based on Quantized Segmentation". Paper presented in International Conference on Machine Learning, Control, and Robotics (MLCR 2022), Suzhou, 2022.
    Published • 10.1109/mlcr57210.2022.00040
  9. Lopes, Vasco; Alexandre, Luis A.; Pereira, Nuno. "Controlling Robots using Image Analysis and a Consortium Blockchain". Paper presented in 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, Singapore, 2022.
    Published • 10.1109/icarcv57592.2022.10004316
  10. Lopes, Vasco; Santos, Miguel; Degardin, Bruno; Alexandre, Luís A.. "Efficient guided evolution for neural architecture search". Paper presented in Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, 2022.
    Published • 10.1145/3520304.3528936
  11. Vermelho, Ricardo; Alexandre, Luis A.. "Grasping and Sorting Cutlery in an Unconstrained Environment with a 6 DoF Robotic Arm and an RGB+D Camera". Paper presented in IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2022), S.M.Feira, 2022.
    Published • 10.1109/icarsc55462.2022.9784780
  12. Vasco Lopes; Luís A. Alexandre; Nuno Pereira. "Controlling Robots using Artificial Intelligence and a Consortium Blockchain". Paper presented in 17th International Conference on Control, Automation, Robotics and Vision (ICARCV'22), Singapore, 2022.
    Published
  13. Lopes, Vasco; Alirezazadeh, Saeid; Alexandre, Luís A.. "EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search". Paper presented in 30th International Conference on Artificial Neural Networks (ICANN 2021), Bratislava, 2021.
    Published • 10.1007/978-3-030-86383-8_44
  14. Pereira, Nuno; Alexandre, Luis A.. "Impact of Segmentation and Color Spaces in 6D Pose Estimation". Paper presented in IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2022), S.M.Feira, 2021.
    Published • 10.1109/icarsc52212.2021.9429778
  15. Lopes, Vasco; Gaspar, Antonio; Alexandre, Luis A.; Cordeiro, Joao. "An AutoML-based Approach to Multimodal Image Sentiment Analysis". Paper presented in International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, 2021.
    Published • 10.1109/ijcnn52387.2021.9533552
  16. Lopes, Vasco; Pereira, Nuno; Fernandes, Miguel; Alexandre, Luis A.. "A Time-Segmented Consortium Blockchain for Robotic Event Registration". Paper presented in International Conference on Blockchain Technology (ICBCT 2021), Shanghai, 2021.
    Published • 10.1145/3460537.3460557
  17. Lopes, Vasco; Miguel Santos; Bruno Degardin; Luís A. Alexandre. "Guided Evolution for Neural Architecture Search". Paper presented in Advances in Neural Information Processing Systems 35 (NeurIPS) - New In ML workshop, 2021.
    Published
  18. Nuno Pereira; Luís A. Alexandre. "MaskedFusion: Mask-based 6D Object Pose Estimation". Paper presented in 19th IEEE International Conference on Machine Learning and Applications (ICMLA 2020), Florida, 2020.
    Published • 10.1109/ICMLA51294.2020.00021
  19. Vasco Lopes; Luís A. Alexandre. "Auto-Classifier: A Robust Defect Detector Based on an AutoML Head". Paper presented in International Conference on Neural Information Processing (ICONIP2020), Bangkok, 2020.
    Published • 10.1007/978-3-030-63830-6_12
  20. João Gaspar Ramôa; Luís A. Alexandre. "Real-Time 3D Door Detection and Classification on a Low-Power Device". Paper presented in 20th IEEE International Conference on Autonomous Robot Systems and Competitions, Azores, 2020.
    Published • 10.1109/ICARSC49921.2020.9096155
  21. Alirezazadeh, Saeid; Alexandre, Luis A.. "Dynamic Task Allocation for Robotic Network Cloud Systems". Paper presented in IEEE International Conference on Ubiquitous Computing and Communications (IUCC-2020), Exeter, 2020.
    Published • 10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00181
  22. António Gaspar; Luís A. Alexandre. "A Multimodal Approach to Image Sentiment Analysis". Paper presented in 20th International Conference on Intelligent Data Engineering and Automated Learning, Manchester, 2019.
    Published • 10.1007/978-3-030-33607-3_33
  23. Pereira, C.; Falcao, G.; Alexandre, L. A.. "Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm". Paper presented in 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Pavia, 2019.
    Published • 10.1109/empdp.2019.8671561
  24. Vasco Lopes; Nuno Pereira; Luís A. Alexandre. "Robot Workspace Monitoring using a Blockchain-based 3D Vision Approach". Paper presented in CVPR Workshop: Blockchain Meets Computer Vision & AI, Long Beach, 2019.
    Published • 10.1109/CVPRW.2019.00340
  25. Lopes, Vasco; Alexandre, Luis A.. "Detecting Robotic Anomalies using RobotChain". Paper presented in 19th IEEE International Conference on Autonomous Robot Systems and Competitions, Porto, 2019.
    Published • 10.1109/icarsc.2019.8733618
  26. Abel Zacarias; Luís A. Alexandre. "Improving SeNA-CNN by Automating Task Recognition". Paper presented in 19th International Conference on Intelligent Data Engineering and Automated Learning, Madrid, 2018.
    Published • 10.1007/978-3-030-03493-1_74
  27. Abel Zacarias; Luís A. Alexandre. "SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation". Paper presented in 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, Siena, 2018.
    Published • 10.1007/978-3-319-99978-4_8
  28. Ana Perre; Luís A. Alexandre; Luis C. Freire. "Image Normalization Influence in Mammographic Classification with CNNs". Paper presented in Applications of Intelligent Systems, Las Palmas de Gran Canaria, 2018.
    Published • 10.3233/978-1-61499-929-4-315
  29. Lopes, Vasco; Alexandre, Luis A.; Fernandes, Miguel. "Less is more: Simplifying point clouds to improve grasping performance". Paper presented in IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2018), Torres Vedras, 2018.
    Published • 10.1109/icarsc.2018.8374192
  30. Lopes, Vasco; Luís A. Alexandre. "Improving Grasping Performance by Segmentation of Large Planar Surfaces". Paper presented in Portuguese Conference on Pattern Recognition, RECPAD, Lisboa, 2017.
    Published
  31. 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". Paper presented in 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, St. Petersburg, 2017.
    Published • 10.1109/pdp.2017.98
  32. Perre, Ana; Alexandre, Luís A.; Freire, Luís C.. "Lesion Classification in Mammograms Using Convolutional Neural Networks and Transfer Learning". Paper presented in ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, Porto, 2017.
    Published • 10.1007/978-3-319-68195-5_40
  33. Fernandes, Miguel; Alexandre, Luis A.. "SLAMfusion: Fusing SLAM Methods for Improved Robustness". Paper presented in IEEE International Conference on Autonomous Robot Systems and Competitions, Bragança, 2016.
    Published • 10.1109/icarsc.2016.61
  34. Kandaswamy, C.; Silva, L.M.; Alexandre, L.A.; Santos, J.M.. "Deep transfer learning ensemble for classification". Paper presented in International Work-Conference on Artificial and Natural Neural Networks, Palma de Mallorca, 2015.
    Published • 10.1007/978-3-319-19258-1_29
  35. 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". Paper presented in International Work-Conference on Artificial and Natural Neural Networks, Palma de Mallorca, 2015.
    Published • 10.1007/978-3-319-19258-1_32
  36. Alexandre, L.A.. "3D computer vision: From points to concepts". Paper presented in Pattern Recognition: Applications and Methods, 4th International Conference, Lisbon, 2015.
    Published • 10.1007/978-3-319-27677-9_1
  37. Filipe, S.; Alexandre, L.A.. "PFBIK-tracking: Particle filter with bio-inspired keypoints tracking". Paper presented in IEEE Symposium Series on Computational Intelligence, Florida, 2015.
    Published • 10.1109/CIMSIVP.2014.7013280
  38. Filipe, S.; Alexandre, L.A.. "A biological motivated multi-scale keypoint detector for local 3D descriptors". Paper presented in 10th International Symposium on Visual Computing, Las Vegas, 2014.
    Published • 10.1007/978-3-319-14249-4_21
  39. 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". Paper presented in International Conference on Machine Learning and Applications, Hamburg, 2014.
    Published • 10.1007/978-3-319-11179-7-34
  40. Frazão, X.; Alexandre, L.A.. "Weighted convolutional neural network ensemble". Paper presented in 19th Iberoamerican Congress on Pattern Recognition, Puerto Vallarta, 2014.
    Published • 10.1007/978-3-319-12568-8_82
  41. Frazão, X.; Alexandre, L.A.. "Dropall: Generalization of two convolutional neural network regularization methods". Paper presented in International Conference on Image Analysis and Recognition, Vilamoura, 2014.
    Published • 10.1007/978-3-319-11758-4_31
  42. 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". Paper presented in International Conference on Image Analysis and Recognition, Vilamoura, 2014.
    Published • 10.1007/978-3-319-11758-4_32
  43. Alexandre, L.A.. "3D object recognition using convolutional neural networks with transfer learning between input channels". Paper presented in International Conference on Intelligent Autonomous Systems, Padova, 2014.
    Published • 10.1007/978-3-319-08338-4_64
  44. Filipe, S.; Alexandre, L.A.. "A comparative evaluation of 3D keypoint detectors in a RGB-D object dataset". Paper presented in International Conference on Computer Vision Theory and Applications, Lisbon, 2014.
    Published • 10.5220/0004679904760483
  45. 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". Paper presented in International Conference on Machine Learning and Applications, Detroit, 2014.
    Published • 10.1109/ICMLA.2014.65
  46. 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". Paper presented in IEEE International Conference on Systems, Man, and Cybernetics, San Diego, 2014.
    Published • 10.1109/SMC.2014.6974107
  47. W¿grzyn, D.; Alexandre, L.A.. "A genetic algorithm-evolved 3D point cloud descriptor". Paper presented in 18th Iberoamerican Congress on Pattern Recognition, Havana, 2013.
    Published • 10.1007/978-3-642-41822-8_12
  48. Alexandre, L.A.. "Set distance functions for 3D object recognition". Paper presented in 18th Iberoamerican Congress on Pattern Recognition, Havana, 2013.
    Published • 10.1007/978-3-642-41822-8_8
  49. Filipe, S.; Alexandre, L.A.. "Thermal infrared face segmentation: A new pose invariant method". Paper presented in 6th Iberian Conference on Pattern Recognition and Image Analysis, Funchal, 2013.
    Published • 10.1007/978-3-642-38628-2_75
  50. 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". Paper presented in Mexican International Conference on Artificial Intelligence, Mexico City, 2013.
    Published • 10.1109/MICAI.2013.20
  51. Thainimit, S.; Alexandre, L.A.; De Almeida, V.M.N.. "Iris surface deformation and normalization". Paper presented in International Symposium on Communications and Information Technologies, Samui Island, 2013.
    Published • 10.1109/ISCIT.2013.6645910
  52. Alexandre, L.A.. "Single layer complex valued neural network with entropic cost function". Paper presented in 20th International Conference on Artificial Neural Networks, Espoo, 2011.
    Published • 10.1007/978-3-642-21735-7_41
  53. Filipe, S.; Alexandre, L.A.. "Improving face segmentation in thermograms using image signatures". Paper presented in 15th Iberoamerican Congress on Pattern Recognition, São Paulo, 2010.
    Published • 10.1007/978-3-642-16687-7_54
  54. Padole, C.N.; Alexandre, L.A.. "Wigner distribution based motion tracking of human beings using thermal imaging". Paper presented in IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum at the IEEE CVPR 2010, San Francisco, 2010.
    Published • 10.1109/CVPRW.2010.5543226
  55. Padole, C.N.; Alexandre, L.A.. "Motion based particle filter for human tracking with thermal imaging". Paper presented in International Conference on Emerging Trends in Engineering & Technology (ICETET10), Goa, 2010.
    Published • 10.1109/ICETET.2010.120
  56. De Sá, J.P.M.; Gama, J.; Sebastião, R.; Alexandre, L.A.. "Decision trees using the minimum Entropy-of-error principle". Paper presented in 13th International Conference on Computer Analysis of Images and Patterns, Münster, 2009.
    Published • 10.1007/978-3-642-03767-2_97
  57. Alexandre, L.A.; Embrechts, M.J.. "Reservoir size, spectral radius and connectivity in static classification problems". Paper presented in 19th International Conference on Artificial Neural Networks, Cyprus, 2009.
    Published • 10.1007/978-3-642-04274-4_104
  58. Embrechts, M.J.; Alexandre, L.A.; Linton, J.D.. "Reservoir computing for static pattern recognition". Paper presented in ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, 2009.
    Published
  59. Santos, R.; Alexandre, L.A.. "Improving spectroface using pre-processing and voting". Paper presented in IEEE International Conference on Intelligent Computing and Intelligent Systems, Shanghai, 2009.
    Published • 10.1109/ICICISYS.2009.5357611
  60. Alexandre, L.A.; Embrechts, M.J.; Linton, J.. "Benchmarking reservoir computing on time-independent classification tasks". Paper presented in International Joint Conference on Artificial Neural Networks (IJCNN 2009), Atlanta, 2009.
    Published • 10.1109/IJCNN.2009.5178920
  61. Batista, L.; Alexandre, L. A.. "Text pre-processing for lossless compression". Paper presented in IEEE Data Compression Conference, DCC 2008, Snowbird, 2008.
    Published • 10.1109/DCC.2008.78
  62. Zhang, Q.; Tolias, G.; Mansencal, B.; Saracoglu, A.; Aginako, N.; Alatan, A.; Alexandre, L.A.; et al. "COST292 experimental framework for TRECVID 2008". Paper presented in 5th TRECVID Workshop, Gaithersburg, 2008.
    Published
  63. 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". Sivakasi, 2008.
    Published • 10.1109/ICCIMA.2007.266
  64. Alexandre, L.A.; Nobre, N.; Casteleiro, J.. "Color and position versus texture features for endoscopic polyp detection". Paper presented in International Conference on BioMedical Engineering and Informatics (BMEI2008), Sanya, 2008.
    Published • 10.1109/BMEI.2008.246
  65. Alexandre, L.A.. "Maximizing the zero-error density for RTRL". Paper presented in IEEE International Symposium on Signal Processing and Information Technology, Sarajevo, 2008.
    Published • 10.1109/ISSPIT.2008.4775679
  66. Proença, H.; Alexandre, L.A.. "Iris recognition: An entropy-based coding strategy robust to noisy imaging environments". Paper presented in 3rd International Symposium on Visual Computing, 2007.
    Published • 10.1007/978-3-540-76858-6_60
  67. Proença, H.; Alexandre, L.A.. "Iris recognition: An analysis of the aliasing problem in the iris normalization stage". Paper presented in International Conference on Computational Intelligence and Security, Guangzhou, 2007.
    Published • 10.1109/ICCIAS.2006.295366
  68. Proença, H.; Alexandre, L.A.. "The NICE.I: Noisy Iris Challenge Evaluation - Part I". Paper presented in IEEE First International Conference on Biometrics: Theory, Applications and Systems, Washington DC, 2007.
    Published • 10.1109/BTAS.2007.4401910
  69. Zhang, Q.; Corvaglia, M.; Aksoy, S.; Naci, U.; Adami, N.; Aginako, N.; Alatan, A.; et al. "The COST292 experimental framework for TRECVID 2007". Paper presented in 5th TRECVID Workshop, Gaithersburg, 2007.
    Published
  70. Alexandre, L.A.; Casteleiro, J.; Nobre, N.. "Polyp detection in endoscopic video using SVMs". Paper presented in 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD, Warsaw, 2007.
    Published • 10.1007/978-3-540-74976-9_34
  71. Pereira, C.S.; Alexandre, L.A.; Mendonça, A.M.; Campilho, A.. "A multiclassifier approach for lung nodule classification". Paper presented in International Conference on Image Analysis and Recognition, 2006.
    Published • 10.1007/11867661_55
  72. Alexandre, L.A.; Marques De Sá, J.P.. "Error entropy minimization for LSTM training". Paper presented in 16th International Conference on Artificial Neural Networks, Athens, 2006.
    Published • 10.1007/11840817_26
  73. Proença, H.; Alexandre, L.A.. "A method for the identification of inaccuracies in pupil segmentation". Paper presented in First International Conference on Availability, Reliability and Security, Vienna, 2006.
    Published • 10.1109/ARES.2006.9
  74. Santos, J.M.; Alexandre, L.A.; De Sá, J.M.. "Modular neural network task decomposition via entropic clustering". Paper presented in International Conference on Intelligent Systems Design and Applications, Jinan, 2006.
    Published • 10.1109/ISDA.2006.198
  75. Proença, H.; Alexandre, L.A.. "A method for the identification of noisy regions in normalized iris images". Paper presented in International Conference on Pattern Recognition (ICPR 2006), Hong Kong, 2006.
    Published • 10.1109/ICPR.2006.100
  76. Proença, H.; Alexandre, L.A.. "Iris recognition: Measuring feature's quality for the feature selection in unconstrained image capture environments". Paper presented in IEEE Proceedings of the 2006 International Conference on Computational Intelligence for Homeland Security and Personal Safety, Alexandria, 2006.
    Published • 10.1109/CIHSPS.2006.313298
  77. Silva, L.M.; Marques De Sá, J.; Alexandre, L.A.. "New developments of the Z-EDM algorithm". Paper presented in International Conference on Intelligent Systems Design and Applications, Jinan, 2006.
    Published • 10.1109/ISDA.2006.204
  78. Santos, J.M.; De Sá, J.M.; Alexandre, L.A.. "Batch-sequential algorithm for neural networks trained with entropic criteria". Paper presented in 15th International Conference on Artificial Neural Networks, Warsaw, 2005.
    Published • 10.1007/11550907_15
  79. Proença, H.; Alexandre, L.A.. "UBIRIS: A noisy iris image database". Paper presented in 13th International Conference on Image Analysis and Processing, Cagliari, 2005.
    Published • 10.1007/11553595_119
  80. Silva, L.M.; Alexandre, L.A.; De Sá, J.M.. "Neural network classification: Maximizing zero-error density". Paper presented in Third International Conference on Advances in Pattern Recognition, Bath, 2005.
    Published • 10.1007/11551188_14
  81. Santos, J.M.; Marques de Sá, J.; Alexandre, L.A.. "Neural networks trained with the EEM algorithm: Tuning the smoothing parameter". Paper presented in 6th WSEAS Int. Conference on Neural Networks, Lisbon, 2005.
    Published • 10.5555/1974608.1974621
  82. Silva, L.M.; de Sa, J.M.; Alexandre, L.A.. "Neural network classification using Shannon's entropy". Paper presented in 13th European Symposium on Artificial Neural Networks, Bruges, 2005.
    Published
  83. Santos, J. M.; Alexandre, L. A.; Marques de Sa, J.. "Neural network classification using error entropy minimization". Paper presented in XV Italian Workshop on Neural Network, Perugia, 2004.
    Published • 10.1007/1-4020-3432-6_34
  84. Alexandre, L.A.; Campilho, A.; Kamel, M.. "Bounds for the Average Generalization Error of the Mixture of Experts Neural Network". Paper presented in 5th International Workshop on Statistical Techniques in Pattern Recognition, Lisbon, 2004.
    Published • 10.1007/978-3-540-27868-9_67
  85. Alexandre, L.A.; Campilho, A.; Kamel, M.. "A probabilistic model for the cooperative modular neural network". Paper presented in Proceedings of the IbPRIA 2003, Maiorca, 2003.
    Published • 10.1007/978-3-540-44871-6_2
  86. Alexandre, L.A.; Campilho, A.C.; Kamel, M.. "Combining independent and unbiased classifiers using weighted average". Paper presented in 15th International Conference on Pattern Recognition (ICPR 2000), Barcelona, 2000.
    Published • 10.1109/ICPR.2000.906120
Edited book
  1. Luís A. Alexandre; J. Salvador Sanchez; J. M. F. Rodrigues. Pattern Recognition and Image Analysis. Springer International Publishing. 2017.
    Published • 10.1007/978-3-319-58838-4
  2. Marques De Sá, J.; Luís A. Alexandre; W. Duch; Danilo Mandic. Artificial Neural Networks ¿ ICANN 2007 part I. Springer Berlin Heidelberg. 2007.
    Published • 10.1007/978-3-540-74695-9
  3. Marques De Sá, J.; Luís A. Alexandre; W. Duch; Danilo Mandic. Artificial Neural Networks ¿ ICANN 2007 part II. Springer Berlin Heidelberg. 2007.
    Published • 10.1007/978-3-540-74690-4
Journal article
  1. André Correia; Luís A. Alexandre. "A survey of demonstration learning". Robotics and Autonomous Systems (2024): https://doi.org/10.1016/j.robot.2024.104812.
    10.1016/j.robot.2024.104812
  2. Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre. "Guided evolutionary neural architecture search with efficient performance estimation". Neurocomputing (2024): https://doi.org/10.1016/j.neucom.2024.127509.
    10.1016/j.neucom.2024.127509
  3. Mousavirad, Seyed Jalaleddin; Alexandre, Luís A.. "Metaheuristic-based energy-aware image compression for mobile app development". Multimedia Tools and Applications (2024): http://dx.doi.org/10.1007/s11042-024-19256-y.
    10.1007/s11042-024-19256-y
  4. Vasco Lopes; Bruno Degardin; Luís A. Alexandre. "Are neural architecture search benchmarks well designed? A deeper look into operation importance". Information Sciences (2023): https://doi.org/10.1016/j.ins.2023.119695.
    10.1016/j.ins.2023.119695
  5. Seyed Jalaleddin Mousavirad; Luís A. Alexandre. "Energy-aware JPEG image compression: A multi-objective approach". Applied Soft Computing (2023): https://doi.org/10.1016/j.asoc.2023.110278.
    10.1016/j.asoc.2023.110278
  6. Pereira, Nuno; Alexandre, Luís A.. "MPF6D: masked pyramid fusion 6D pose estimation". Pattern Analysis and Applications 26 3 (2023): 1363-1373. http://dx.doi.org/10.1007/s10044-023-01165-9.
    10.1007/s10044-023-01165-9
  7. Alirezazadeh, Saeid; Alexandre, Luís A.. "Ordered balancing: load balancing for redundant task scheduling in robotic network cloud systems". Cluster Computing (2023): http://dx.doi.org/10.1007/s10586-023-04013-x.
    Published • 10.1007/s10586-023-04013-x
  8. Saeid Alirezazadeh; Luís A. Alexandre. "Optimal Algorithm Allocation for Single Robot Cloud Systems". IEEE Transactions on Cloud Computing (2023): https://doi.org/10.1109/TCC.2021.3093489.
    10.1109/TCC.2021.3093489
  9. Alirezazadeh, Saeid; Alexandre, Luís A.. "Static Algorithm Allocation with Duplication in Robotic Network Cloud Systems". IEEE Transactions on Parallel and Distributed Systems (2023): 1-11. http://dx.doi.org/10.1109/tpds.2023.3267293.
    Published • 10.1109/tpds.2023.3267293
  10. Vasco Lopes; Luís A. Alexandre. "Toward Less Constrained Macro-Neural Architecture Search". IEEE Transactions on Neural Networks and Learning Systems (2023): https://doi.org/10.1109/TNNLS.2023.3326648.
    10.1109/TNNLS.2023.3326648
  11. Saeid Alirezazadeh; Luis A. Alexandre. "Dynamic Task Scheduling for Human-Robot Collaboration". IEEE Robotics and Automation Letters 7 4 (2022): 8699-8704. https://doi.org/10.1109/LRA.2022.3188906.
    10.1109/LRA.2022.3188906
  12. Saeid Alirezazadeh; André Correia; Luís A. Alexandre. "Optimal algorithm allocation for robotic network cloud systems". Robotics and Autonomous Systems (2022): https://doi.org/10.1016/j.robot.2022.104144.
    10.1016/j.robot.2022.104144
  13. Ramôa, João Gaspar; Lopes, Vasco; Alexandre, Luís A.; Mogo, S.. "Real-time 2D–3D door detection and state classification on a low-power device". SN Applied Sciences 3 5 (2021): http://dx.doi.org/10.1007/s42452-021-04588-3.
    10.1007/s42452-021-04588-3
  14. Luís A. Alexandre. "Lesion classification in mammograms using convolutional neural networks and transfer learning". Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2019): http://dx.doi.org/10.1080/21681163.2018.1498392.
    10.1080/21681163.2018.1498392
  15. Ivet Rafegas; Maria Vanrell; Luís A. Alexandre; Guillem Arias. "Understanding trained CNNs by indexing neuron selectivity". Pattern Recognition Letters (2019): https://doi.org/10.1016%2Fj.patrec.2019.10.013.
    10.1016/j.patrec.2019.10.013
  16. Lopes, Vasco; Alexandre, Luís A. "An Overview of Blockchain Integration with Robotics and Artificial Intelligence". Ledger (2019): http://dx.doi.org/10.5195/ledger.2019.171.
    10.5195/ledger.2019.171
  17. Fernandes, Miguel; Alexandre, Luís A. "Robotchain: Using Tezos Technology for Robot Event Management". Ledger (2019): http://dx.doi.org/10.5195/ledger.2019.175.
    10.5195/ledger.2019.175
  18. José Marques; Gabriel Falcao; Luís Alexandre. "Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures". Applied Artificial Intelligence 1 1 (2018): 1-23. http://www.it.pt/Publications/PaperJournal/27944.
    10.1080/08839514.2018.1508814
  19. 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
  20. 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 43 2 (2016): 445-458. http://www.scopus.com/inward/record.url?eid=2-s2.0-84929208788&partnerID=MN8TOARS.
    10.1007/s11063-015-9430-9
  21. Filipe, S.; Itti, L.; Alexandre, L.A.. "BIK-BUS: Biologically motivated 3D keypoint based on bottom-up saliency". IEEE Transactions on Image Processing 24 1 (2015): 163-175. http://www.scopus.com/inward/record.url?eid=2-s2.0-84919489085&partnerID=MN8TOARS.
    10.1109/TIP.2014.2371532
  22. Filipe, S.; Alexandre, L.A.. "Algorithms for invariant long-wave infrared face segmentation: evaluation and comparison". Pattern Analysis and Applications 17 4 (2014): 823-837. http://www.scopus.com/inward/record.url?eid=2-s2.0-84919464372&partnerID=MN8TOARS.
    10.1007/s10044-013-0354-6
  23. Proena, H.; Alexandre, L.A.. "Introduction to the special issue on the recognition of visible wavelength iris images captured at-a-distance and on-the-move". Pattern Recognition Letters 33 8 (2012): 963-964. http://www.scopus.com/inward/record.url?eid=2-s2.0-84859144855&partnerID=MN8TOARS.
    10.1016/j.patrec.2012.03.003
  24. Proença, H.; Alexandre, L.A.. "Toward covert iris biometric recognition: Experimental results from the NICE contests". IEEE Transactions on Information Forensics and Security 7 2 (2012): 798-808. http://www.scopus.com/inward/record.url?eid=2-s2.0-84858385580&partnerID=MN8TOARS.
    10.1109/TIFS.2011.2177659
  25. Luís M. Silva; Joaquim Pontes Marques de Sá; Luís Alexandre; Silva, L.M.; Marques de Sá, J.; Alexandre, L.A.. "The MEE Principle in Data Classification: A Perceptron-Based Analysis". Neural Computation 22 10 (2010): 2698-2728. http://www.it.pt/Publications/PaperJournal/4854.
    10.1162/NECO_a_00013
  26. Proença, H.; Alexandre, L.A.. "Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage". Image and Vision Computing 28 1 (2010): 202-206. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449523666&partnerID=MN8TOARS.
    10.1016/j.imavis.2009.03.003
  27. 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 28 2 (2010): 213-214. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449639689&partnerID=MN8TOARS.
    10.1016/j.imavis.2009.09.004
  28. Alexandre, L.A.. "Gender recognition: A multiscale decision fusion approach". Pattern Recognition Letters 31 11 (2010): 1422-1427. http://www.scopus.com/inward/record.url?eid=2-s2.0-77953140341&partnerID=MN8TOARS.
    10.1016/j.patrec.2010.02.010
  29. 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 32 8 (2010): 1529-1535. http://www.scopus.com/inward/record.url?eid=2-s2.0-77953809217&partnerID=MN8TOARS.
    10.1109/TPAMI.2009.66
  30. 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
  31. Silva, L.M.; Marques de Sá, J.; Alexandre, L.A.. "Data classification with multilayer perceptrons using a generalized error function". Neural Networks 21 9 (2008): 1302-1310. http://www.scopus.com/inward/record.url?eid=2-s2.0-54449100428&partnerID=MN8TOARS.
    10.1016/j.neunet.2008.04.004
  32. Proença, H.; Alexandre, L.A.. "Toward noncooperative iris recognition: A classification approach using multiple signatures". IEEE Transactions on Pattern Analysis and Machine Intelligence 29 4 (2007): 607-612. http://www.scopus.com/inward/record.url?eid=2-s2.0-33947543501&partnerID=MN8TOARS.
    10.1109/TPAMI.2007.1016
  33. Luís M. Silva; Carlos Alexandre Felgueiras; Luís Alexandre; Joaquim Pontes Marques de Sá. "Error Entropy in Classification Problems: A Univariate Data Analysis". Neural Computation - 18 (2006): 2036-2061. http://www.it.pt/Publications/PaperJournal/1592.
  34. Proença, H.; Alexandre, L.A.. "Iris segmentation methodology for non-cooperative recognition". IEE Proceedings: Vision, Image and Signal Processing 153 2 (2006): 199-205. http://www.scopus.com/inward/record.url?eid=2-s2.0-33645015562&partnerID=MN8TOARS.
    10.1049/ip-vis:20050213
  35. Silva, L.M.; Felgueiras, C.S.; Alexandre, L.A.; Marques De Sá, J.. "Error entropy in classification problems: A univariate data analysis". Neural Computation 18 9 (2006): 2036-2061. http://www.scopus.com/inward/record.url?eid=2-s2.0-33748288090&partnerID=MN8TOARS.
    10.1162/neco.2006.18.9.2036
  36. Alexandre, L.A.; Campilho, A.C.; Kamel, M.. "On combining classifiers using sum and product rules". Pattern Recognition Letters 22 12 (2001): 1283-1289. http://www.scopus.com/inward/record.url?eid=2-s2.0-0034875843&partnerID=MN8TOARS.
    10.1016/S0167-8655(01)00073-3
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2020/09/01 - Current Improving the Robustness of Demonstration Learning
Supervisor of André Rosa de Sousa Porfírio Correia
2020/09/01 - 2024/05/15 Application of Machine Learning Algorithms to the Study of Fatigue of Materials on Aerospace Structures
Co-supervisor of Tomás de Oliveira Barros
2018/09/01 - 2024/01/17 6D Pose Estimation and Object Recognition
Supervisor of Nuno Pereira
2019/09/01 - 2023/12/21 Improving Neural Architecture Search With Bayesian Optimization and Generalization Mechanisms
Supervisor of Vasco Ferrinho Lopes
2005/07/09 - 2008/07/09 Neural Networks with Error-Density Risk Functionals for Data Classification
Co-supervisor of Luís Silva
2004/05/19 - 2007/05/19 Data Classification with Neural Networks and Entropic Criteria
Co-supervisor of Jorge Santos
2004/01/03 - 2007/01/03 Towards Non-Cooperative Biometric Iris Recognition
Supervisor of Hugo Proença