Combining Independent and Unbiased Classifiers Using Weighted Average. - Luís A. Alexandre; Aurélio C. Campilho; Mohamed S. Kamel (ICPR, 2000)

On combining classifiers using sum and product rules. - Luís A. Alexandre; Aurélio C. Campilho; Mohamed S. Kamel (Pattern Recognit. Lett., 2001)

A Probabilistic Model for the Cooperative Modular Neural Network. - Luís A. Alexandre; Aurélio C. Campilho; Mohamed S. Kamel (IbPRIA, 2003)

Neural Network Learning: Testing Bounds on Sample Complexity. - Joaquim Marques de Sá; Fernando Sereno; Luís A. Alexandre (PRIS, 2004)

Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. - Luís A. Alexandre; Aurélio C. Campilho; Mohamed S. Kamel (SSPR/SPR, 2004)

Neural Network Classification Using Error Entropy Minimization. - Jorge M. Santos; Luís A. Alexandre; Joaquim Marques de Sá (WIRN, 2004)

Neural network classification using Shannon's entropy. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (ESANN, 2005)

Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. - Jorge M. Santos; Joaquim Marques de Sá; Luís A. Alexandre (ICANN (2), 2005)

Neural Network Classification: Maximizing Zero-Error Density. - Luís M. Silva; Luís A. Alexandre; Joaquim Marques de Sá (ICAPR (1), 2005)

UBIRIS: A Noisy Iris Image Database. - Hugo Proença 001; Luís A. Alexandre (ICIAP, 2005)

A Method for the Identification of Inaccuracies in Pupil Segmentation. - Hugo Proença 001; Luís A. Alexandre (ARES, 2006)

Error Entropy Minimization for LSTM Training. - Luís A. Alexandre; Joaquim Marques de Sá (ICANN (1), 2006)

A Multiclassifier Approach for Lung Nodule Classification. - Carlos S. Pereira; Luís A. Alexandre; Ana Maria Mendonça; Aurélio C. Campilho (ICIAR (2), 2006)

A Method for the Identification of Noisy Regions in Normalized Iris Images. - Hugo Proença 001; Luís A. Alexandre (ICPR (4), 2006)

Modular Neural Network Task Decomposition Via Entropic Clustering. - Jorge M. Santos; Luís A. Alexandre; Joaquim Marques de Sá (ISDA (1), 2006)

New developments of the Z-EDM algorithm. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (ISDA (1), 2006)

Error Entropy in Classification Problems: A Univariate Data Analysis. - Luís M. Silva; Carlos S. Felgueiras; Luís A. Alexandre; Joaquim Marques de Sá (Neural Comput., 2006)

Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments. - Hugo Proença 001; Luís A. Alexandre (ISVC (1), 2007)

Polyp Detection in Endoscopic Video Using SVMs. - Luís A. Alexandre; João Casteleiro; Nuno Nobreinst (PKDD, 2007)

The COST292 experimental framework for TRECVID 2007. - Qianni Zhang; Krishna Chandramouli; Uros Damnjanovic; Tomas Piatrik; Ebroul Izquierdo; Marzia Corvaglia; Nicola Adami; Riccardo Leonardi; G. Yakin; Sercan Aksoy; Suphi Umut Naci; Alan Hanjalic; et al. (TRECVID, 2007)

Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures. - Hugo Proença 001; Luís A. Alexandre (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Color and Position versus Texture Features for Endoscopic Polyp Detection. - Luís A. Alexandre; Nuno Nobre; João Casteleiro (BMEI (2), 2008)

Text Pre-processing for Lossless Compression. - Luís Batista; Luís A. Alexandre (DCC, 2008)

COST292 experimental framework for TRECVID2008. - Qianni Zhang; Krishna Chandramouli; Uros Damnjanovic; Tomas Piatrik; Giorgos Tolias; Yannis Avrithis; Petros Kapsalas; Phivos Mylonas; Evaggelos Spyrou; Boris Mansencal; Jenny Benois-Pineau; Ahmet Saracoglu; et al. (TRECVID, 2008)

Data classification with multilayer perceptrons using a generalized error function. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (Neural Networks, 2008)

LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs. - Jorge M. Santos; Joaquim Marques de Sá; Luís A. Alexandre (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Decision Trees Using the Minimum Entropy-of-Error Principle. - Joaquim Marques de Sá; João Gama 001; Raquel Sebastião; Luís A. Alexandre (CAIP, 2009)

Reservoir computing for static pattern recognition. - Mark J. Embrechts; Luís A. Alexandre; Jonathan D. Linton (ESANN, 2009)

Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. - Luís A. Alexandre; Mark J. Embrechts (ICANN (1), 2009)

Benchmarking reservoir computing on time-independent classification tasks. - Luís A. Alexandre; Mark J. Embrechts; Jonathan D. Linton (IJCNN, 2009)

Improving Face Segmentation in Thermograms Using Image Signatures. - Sílvio Filipe; Luís A. Alexandre (CIARP, 2010)

Wigner distribution based motion tracking of human beings using thermal imaging. - Chandrashekhar N. Padole; Luís A. Alexandre (CVPR Workshops, 2010)

Motion Based Particle Filter for Human Tracking with Thermal Imaging. - Chandrashekhar N. Padole; Luís A. Alexandre (ICETET, 2010)

Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage. - Hugo Proença 001; Luís A. Alexandre (Image Vis. Comput., 2010)

Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. - Hugo Proença 001; Luís A. Alexandre (Image Vis. Comput., 2010)

The MEE Principle in Data Classification: A Perceptron-Based Analysis. - Luís M. Silva; Joaquim Marques de Sá; Luís A. Alexandre (Neural Comput., 2010)

The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance. - Hugo Proença 001; Sílvio Filipe; Ricardo Santos; João Oliveira; Luís A. Alexandre (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Gender recognition: A multiscale decision fusion approach. - Luís A. Alexandre (Pattern Recognit. Lett., 2010)

Single Layer Complex Valued Neural Network with Entropic Cost Function. - Luís A. Alexandre (ICANN (1), 2011)

Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. - Hugo Proença 001; Luís A. Alexandre (Pattern Recognit. Lett., 2012)

Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests. - Hugo Proença 001; Luís A. Alexandre (IEEE Trans. Inf. Forensics Secur., 2012)

Set Distance Functions for 3D Object Recognition. - Luís A. Alexandre (CIARP (1), 2013)

A Genetic Algorithm-Evolved 3D Point Cloud Descriptor. - Dominik Wegrzyn; Luís A. Alexandre (CIARP (1), 2013)

Thermal Infrared Face Segmentation: A New Pose Invariant Method. - Sílvio Filipe; Luís A. Alexandre (IbPRIA, 2013)

Using Different Cost Functions to Train Stacked Auto-Encoders. - Telmo Amaral; Luís M. Silva; Luís A. Alexandre; Chetak Kandaswamy; Jorge M. Santos; Joaquim Marques de Sá (MICAI (Special Sessions), 2013)

Minimum Error Entropy Classification - Joaquim Marques de Sá; Luís M. Silva; Jorge M. Santos; Luís A. Alexandre (Springer, 2013)

Weighted Convolutional Neural Network Ensemble. - Xavier Frazão; Luís A. Alexandre (CIARP, 2014)

PFBIK-tracking: Particle filter with bio-inspired keypoints tracking. - Sílvio Filipe; Luís A. Alexandre (CIMSIVP, 2014)

3D Object Recognition Using Convolutional Neural Networks with Transfer Learning Between Input Channels. - Luís A. Alexandre (IAS, 2014)

Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. - Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Jorge M. Santos; Joaquim Marques de Sá (ICANN, 2014)

Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance. - Telmo Amaral; Luís M. Silva; Luís A. Alexandre; Chetak Kandaswamy; Joaquim Marques de Sá; Jorge M. Santos (ICIAR (1), 2014)

DropAll: Generalization of Two Convolutional Neural Network Regularization Methods. - Xavier Frazão; Luís A. Alexandre (ICIAR (1), 2014)

Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. - Telmo Amaral; Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Joaquim Marques de Sá; Jorge M. Santos (ICMLA, 2014)

A Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors. - Sílvio Filipe; Luís A. Alexandre (ISVC (1), 2014)

Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. - Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Ricardo Gamelas Sousa; Jorge M. Santos; Joaquim Marques de Sá (SMC, 2014)

A Comparative Evaluation of 3D Keypoint Detectors in a RGB-D Object Dataset. - Sílvio Filipe; Luís A. Alexandre (VISAPP (1), 2014)

Algorithms for invariant long-wave infrared face segmentation: evaluation and comparison. - Sílvio Filipe; Luís A. Alexandre (Pattern Anal. Appl., 2014)

3D Computer Vision: From Points to Concepts. - Luís A. Alexandre (ICPRAM (Selected Papers), 2015)

Deep Transfer Learning Ensemble for Classification. - Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Jorge M. Santos (IWANN (1), 2015)

Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. - Ricardo Gamelas Sousa; Tiago Esteves; Sara Rocha; Francisco Figueiredo; Joaquim Marques de Sá; Luís A. Alexandre; Jorge M. Santos; Luís M. Silva (IWANN (1), 2015)

BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency. - Sílvio Filipe; Laurent Itti; Luís A. Alexandre (IEEE Trans. Image Process., 2015)

SLAMfusion: Fusing SLAM Methods for Improved Robustness. - Miguel Fernandes; Luís A. Alexandre (ICARSC, 2016)

Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems. - Joao Maria; Joao Amaro; Gabriel Falcão 001; Luís A. Alexandre (Neural Process. Lett., 2016)

On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders on Mobile GPUs. - Gabriel Falcão 001; Luís A. Alexandre; Jose Marques; Xavier Frazão; Joao Maria (PDP, 2017)

Understanding trained CNNs by indexing neuron selectivity. - Ivet Rafegas; María Vanrell 001; Luís A. Alexandre (CoRR, 2017)

Distribution-Based Categorization of Classifier Transfer Learning. - Ricardo Gamelas Sousa; Luís A. Alexandre; Jorge M. Santos; Luís M. Silva; Joaquim Marques de Sá (CoRR, 2017)

Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition. - 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 (CoRR, 2017)

SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. - Abel S. Zacarias; Luís A. Alexandre (ANNPR, 2018)

Exploring Different Normalization and Classification Approaches for Mammography Analysis with CNNs. - Ana C. Perre; Luís A. Alexandre; Luís C. Freire (APPIS, 2018)

"Less is more": Simplifying point clouds to improve grasping performance. - Vasco Lopes; Luís A. Alexandre; Miguel Fernandes (ICARSC, 2018)

Improving SeNA-CNN by Automating Task Recognition. - Abel S. Zacarias; Luís A. Alexandre (IDEAL (1), 2018)

Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures. - Jose Marques; Gabriel Falcão Paiva Fernandes; Luís A. Alexandre (Appl. Artif. Intell., 2018)

Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. - Abel S. Zacarias; Luís A. Alexandre (CoRR, 2018)

An Overview of Blockchain Integration with Robotics and Artificial Intelligence. - Vasco Lopes; Luís A. Alexandre (CoRR, 2018)

Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. - Vasco Lopes; Nuno Pereira 003; Luís A. Alexandre (CVPR Workshops, 2019)

Detecting Robotic Anomalies using RobotChain. - Vasco Lopes; Luís A. Alexandre (ICARSC, 2019)

A Multimodal Approach to Image Sentiment Analysis. - António Gaspar; Luís A. Alexandre (IDEAL (1), 2019)

Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm. - Cesar Pereira; Gabriel Falcão 001; Luís A. Alexandre (PDP, 2019)

Lesion classification in mammograms using convolutional neural networks and transfer learning. - Ana C. Perre; Luís A. Alexandre; Luís C. Freire (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Controlling Robots using Artificial Intelligence and a Consortium Blockchain. - Vasco Lopes; Luís A. Alexandre; Nuno Pereira 003 (CoRR, 2019)

A Time-Segmented Consortium Blockchain for Robotic Event Registration. - Miguel Fernandes; Luís A. Alexandre (CoRR, 2019)

MaskedFusion: Mask-based 6D Object Pose Detection. - Nuno Pereira 003; Luís A. Alexandre (CoRR, 2019)

Real-Time 3D Door Detection and Classification on a Low-Power Device. - João Gaspar Ramôa; Luís A. Alexandre; S. Mogo (ICARSC, 2020)

MaskedFusion: Mask-based 6D Object Pose Estimation. - Nuno Pereira 003; Luís A. Alexandre (ICMLA, 2020)

Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. - Vasco Lopes; Luís A. Alexandre (ICONIP (1), 2020)

Dynamic Task Allocation for Robotic Network Cloud Systems. - Saeid Alirezazadeh; Luís A. Alexandre (ISPA/BDCloud/SocialCom/SustainCom, 2020)

HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization. - Vasco Lopes; Luís A. Alexandre (CoRR, 2020)

Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints. - Saeid Alirezazadeh; Luís A. Alexandre (CoRR, 2020)

Understanding trained CNNs by indexing neuron selectivity. - Ivet Rafegas; María Vanrell 001; Luís A. Alexandre; Guillem Arias (Pattern Recognit. Lett., 2020)

EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. - Vasco Lopes; Saeid Alirezazadeh; Luís A. Alexandre (ICANN (5), 2021)

Impact of Segmentation and Color Spaces in 6D Pose Estimation. - Nuno Pereira 003; Luís A. Alexandre (ICARSC, 2021)

A Time-Segmented Consortium Blockchain for Robotic Event Registration. - Vasco Lopes; Nuno Pereira 003; Miguel Fernandes; Luís A. Alexandre (ICBCT, 2021)

An AutoML-based Approach to Multimodal Image Sentiment Analysis. - Vasco Lopes; António Gaspar; Luís A. Alexandre; João Cordeiro (IJCNN, 2021)

Guided Evolution for Neural Architecture Search. - Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre (CoRR, 2021)

Efficient guided evolution for neural architecture search. - Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre (GECCO Companion, 2022)

Facial Emotion Recognition for Sentiment Analysis of Social Media Data. - Diandre de Paula; Luís A. Alexandre (IbPRIA, 2022)

Controlling Robots using Image Analysis and a Consortium Blockchain. - Vasco Lopes; Luís A. Alexandre; Nuno Pereira 003 (ICARCV, 2022)

Grasping and Sorting Cutlery in an Unconstrained Environment with a 6 DoF Robotic Arm and an RGB+D Camera. - Ricardo Vermelho; Luís A. Alexandre (ICARSC, 2022)

Multi-View Contrastive Learning from Demonstrations. - André Correia; Luís A. Alexandre (IRC, 2022)

CILDI: Class Incremental Learning with Distilled Images. - Abel S. Zacarias; Luís A. Alexandre (ISCMI, 2022)

Contrastive Learning from Demonstrations. - André Correia; Luís A. Alexandre (CoRR, 2022)

Towards Less Constrained Macro-Neural Architecture Search. - Vasco Lopes; Luís A. Alexandre (CoRR, 2022)

LudVision - Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data. - António J. Abreu; Luís A. Alexandre; João A. Santos; Filippo Basso (CoRR, 2022)

Exploration, Path Planning with Obstacle and Collision Avoidance in a Dynamic Environment. - Saeid Alirezazadeh; Luís A. Alexandre (CoRR, 2022)

Population-based JPEG Image Compression: Problem Re-Formulation. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (CoRR, 2022)

Dynamic Task Scheduling for Human-Robot Collaboration. - Saeid Alirezazadeh; Luís A. Alexandre (IEEE Robotics Autom. Lett., 2022)

Optimal algorithm allocation for robotic network cloud systems. - Saeid Alirezazadeh; André Correia; Luís A. Alexandre (Robotics Auton. Syst., 2022)

DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety. - André Correia; Luís A. Alexandre (ESANN, 2023)

Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics. - Wlodzislaw Duch; Krzysztof Tolpa; Ewa Ratajczak; Marcin Hajnowski; Lukasz Furman; Luís A. Alexandre (ICONIP (9), 2023)

Hierarchical Decision Transformer. - André Correia; Luís A. Alexandre (IROS, 2023)

Improving makespan in dynamic task scheduling for cloud robotic systems with time window constraints. - Saeid Alirezazadeh; Luís A. Alexandre (Clust. Comput., 2023)

A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (CoRR, 2023)

Optimal Algorithm Allocation for Single Robot Cloud Systems. - Saeid Alirezazadeh; Luís A. Alexandre (IEEE Trans. Cloud Comput., 2023)

Static Algorithm Allocation With Duplication in Robotic Network Cloud Systems. - Saeid Alirezazadeh; Luís A. Alexandre (IEEE Trans. Parallel Distributed Syst., 2023)

Energy-aware JPEG image compression: A multi-objective approach. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (Appl. Soft Comput., 2023)

MPF6D: masked pyramid fusion 6D pose estimation. - Nuno Pereira 003; Luís A. Alexandre (Pattern Anal. Appl., 2023)

Are neural architecture search benchmarks well designed? A deeper look into operation importance. - Vasco Lopes; Bruno Degardin; Luís A. Alexandre (Inf. Sci., 2023)

Schizophrenia Detection Using EEG: A Study on Frequency Relevance. - Luís A. Alexandre; Wlodzislaw Duch (CEC, 2024)

Music to Dance as Language Translation using Sequence Models. - André Correia; Luís A. Alexandre (CoRR, 2024)

Hierarchical Decision Mamba. - André Correia; Luís A. Alexandre (CoRR, 2024)

Guided evolutionary neural architecture search with efficient performance estimation. - Vasco Lopes; Miguel Santos; Bruno Degardin; Luís A. Alexandre (Neurocomputing, 2024)

A survey of demonstration learning. - André Correia; Luís A. Alexandre (Robotics Auton. Syst., 2024)

Ordered balancing: load balancing for redundant task scheduling in robotic network cloud systems. - Saeid Alirezazadeh; Luís A. Alexandre (Clust. Comput., 2024)

A Survey on Task Allocation and Scheduling in Robotic Network Systems. - Saeid Alirezazadeh; Luís A. Alexandre (IEEE Internet Things J., 2025)

Toward Less Constrained Macro-Neural Architecture Search. - Vasco Lopes; Luís A. Alexandre (IEEE Trans. Neural Networks Learn. Syst., 2025)

Metaheuristic-based energy-aware image compression for mobile app development. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (Multim. Tools Appl., 2025)

Robust Energy Consumption Prediction With a Missing Value-Resilient Metaheuristic-Based Neural Network in Mobile App Development. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (IEEE Trans. Syst. Man Cybern. Syst., 2025)