Luís A. Alexandre

Orcid: 0000-0002-5133-5025

Affiliations:
  • Universidade da Beira Interior, Portugal


According to our database1, Luís A. Alexandre authored at least 124 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ordered balancing: load balancing for redundant task scheduling in robotic network cloud systems.
Clust. Comput., April, 2024

A survey of demonstration learning.
Robotics Auton. Syst., 2024

Guided evolutionary neural architecture search with efficient performance estimation.
Neurocomputing, 2024

Hierarchical Decision Mamba.
CoRR, 2024

Music to Dance as Language Translation using Sequence Models.
CoRR, 2024

Schizophrenia Detection Using EEG: A Study on Frequency Relevance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Are neural architecture search benchmarks well designed? A deeper look into operation importance.
Inf. Sci., December, 2023

MPF6D: masked pyramid fusion 6D pose estimation.
Pattern Anal. Appl., August, 2023

Energy-aware JPEG image compression: A multi-objective approach.
Appl. Soft Comput., July, 2023

Static Algorithm Allocation With Duplication in Robotic Network Cloud Systems.
IEEE Trans. Parallel Distributed Syst., June, 2023

Optimal Algorithm Allocation for Single Robot Cloud Systems.
IEEE Trans. Cloud Comput., 2023

Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development.
CoRR, 2023

A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development.
CoRR, 2023

A Survey on Task Allocation and Scheduling in Robotic Network Systems.
CoRR, 2023

Improving makespan in dynamic task scheduling for cloud robotic systems with time window constraints.
Clust. Comput., 2023

Hierarchical Decision Transformer.
IROS, 2023

Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Optimal algorithm allocation for robotic network cloud systems.
Robotics Auton. Syst., 2022

Dynamic Task Scheduling for Human-Robot Collaboration.
IEEE Robotics Autom. Lett., 2022

Population-based JPEG Image Compression: Problem Re-Formulation.
CoRR, 2022

Exploration, Path Planning with Obstacle and Collision Avoidance in a Dynamic Environment.
CoRR, 2022

LudVision - Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data.
CoRR, 2022

Towards Less Constrained Macro-Neural Architecture Search.
CoRR, 2022

Contrastive Learning from Demonstrations.
CoRR, 2022

Multi-View Contrastive Learning from Demonstrations.
Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022

Grasping and Sorting Cutlery in an Unconstrained Environment with a 6 DoF Robotic Arm and an RGB+D Camera.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2022

Controlling Robots using Image Analysis and a Consortium Blockchain.
Proceedings of the 17th International Conference on Control, 2022

Facial Emotion Recognition for Sentiment Analysis of Social Media Data.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Efficient guided evolution for neural architecture search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Guided Evolution for Neural Architecture Search.
CoRR, 2021

An AutoML-based Approach to Multimodal Image Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Time-Segmented Consortium Blockchain for Robotic Event Registration.
Proceedings of the ICBCT '21: The 3rd International Conference on Blockchain Technology, 2021

Impact of Segmentation and Color Spaces in 6D Pose Estimation.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2021

EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Understanding trained CNNs by indexing neuron selectivity.
Pattern Recognit. Lett., 2020

Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints.
CoRR, 2020

HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization.
CoRR, 2020

Dynamic Task Allocation for Robotic Network Cloud Systems.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Auto-Classifier: A Robust Defect Detector Based on an AutoML Head.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

MaskedFusion: Mask-based 6D Object Pose Estimation.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Real-Time 3D Door Detection and Classification on a Low-Power Device.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019
MaskedFusion: Mask-based 6D Object Pose Detection.
CoRR, 2019

A Time-Segmented Consortium Blockchain for Robotic Event Registration.
CoRR, 2019

Controlling Robots using Artificial Intelligence and a Consortium Blockchain.
CoRR, 2019

Lesion classification in mammograms using convolutional neural networks and transfer learning.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

A Multimodal Approach to Image Sentiment Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Detecting Robotic Anomalies using RobotChain.
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
An Overview of Blockchain Integration with Robotics and Artificial Intelligence.
CoRR, 2018

Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation.
CoRR, 2018

Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures.
Appl. Artif. Intell., 2018

Improving SeNA-CNN by Automating Task Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

"Less is more": Simplifying point clouds to improve grasping performance.
Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018

Exploring Different Normalization and Classification Approaches for Mammography Analysis with CNNs.
Proceedings of the Applications of Intelligent Systems, 2018

SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

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

Distribution-Based Categorization of Classifier Transfer Learning.
CoRR, 2017

Understanding trained CNNs by indexing neuron selectivity.
CoRR, 2017

On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders on Mobile GPUs.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

2016
Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems.
Neural Process. Lett., 2016

SLAMfusion: Fusing SLAM Methods for Improved Robustness.
Proceedings of the 2016 International Conference on Autonomous Robot Systems and Competitions, 2016

2015
BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency.
IEEE Trans. Image Process., 2015

Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging.
Proceedings of the Advances in Computational Intelligence, 2015

Deep Transfer Learning Ensemble for Classification.
Proceedings of the Advances in Computational Intelligence, 2015

3D Computer Vision: From Points to Concepts.
Proceedings of the Pattern Recognition Applications and Methods, 2015

2014
Algorithms for invariant long-wave infrared face segmentation: evaluation and comparison.
Pattern Anal. Appl., 2014

A Comparative Evaluation of 3D Keypoint Detectors in a RGB-D Object Dataset.
Proceedings of the VISAPP 2014, 2014

Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

DropAll: Generalization of Two Convolutional Neural Network Regularization Methods.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

3D Object Recognition Using Convolutional Neural Networks with Transfer Learning Between Input Channels.
Proceedings of the Intelligent Autonomous Systems 13, 2014

PFBIK-tracking: Particle filter with bio-inspired keypoints tracking.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

Weighted Convolutional Neural Network Ensemble.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Minimum Error Entropy Classification
Studies in Computational Intelligence 420, Springer, ISBN: 978-3-642-29028-2, 2013

Using Different Cost Functions to Train Stacked Auto-Encoders.
Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

Thermal Infrared Face Segmentation: A New Pose Invariant Method.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

A Genetic Algorithm-Evolved 3D Point Cloud Descriptor.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Set Distance Functions for 3D Object Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests.
IEEE Trans. Inf. Forensics Secur., 2012

Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move.
Pattern Recognit. Lett., 2012

2011
Single Layer Complex Valued Neural Network with Entropic Cost Function.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Gender recognition: A multiscale decision fusion approach.
Pattern Recognit. Lett., 2010

The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

The MEE Principle in Data Classification: A Perceptron-Based Analysis.
Neural Comput., 2010

Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move.
Image Vis. Comput., 2010

Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage.
Image Vis. Comput., 2010

Motion Based Particle Filter for Human Tracking with Thermal Imaging.
Proceedings of the 3rd International Conference on Emerging Trends in Engineering and Technology, 2010

Wigner distribution based motion tracking of human beings using thermal imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Improving Face Segmentation in Thermograms Using Image Signatures.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Benchmarking reservoir computing on time-independent classification tasks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems.
Proceedings of the Artificial Neural Networks, 2009

Reservoir computing for static pattern recognition.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Decision Trees Using the Minimum Entropy-of-Error Principle.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Data classification with multilayer perceptrons using a generalized error function.
Neural Networks, 2008


Text Pre-processing for Lossless Compression.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

Color and Position versus Texture Features for Endoscopic Polyp Detection.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures.
IEEE Trans. Pattern Anal. Mach. Intell., 2007


Polyp Detection in Endoscopic Video Using SVMs.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006
Error Entropy in Classification Problems: A Univariate Data Analysis.
Neural Comput., 2006

New developments of the Z-EDM algorithm.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Modular Neural Network Task Decomposition Via Entropic Clustering.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

A Method for the Identification of Noisy Regions in Normalized Iris Images.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Multiclassifier Approach for Lung Nodule Classification.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Error Entropy Minimization for LSTM Training.
Proceedings of the Artificial Neural Networks, 2006

A Method for the Identification of Inaccuracies in Pupil Segmentation.
Proceedings of the The First International Conference on Availability, 2006

2005
UBIRIS: A Noisy Iris Image Database.
Proceedings of the Image Analysis and Processing, 2005

Neural Network Classification: Maximizing Zero-Error Density.
Proceedings of the Pattern Recognition and Data Mining, 2005

Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Neural network classification using Shannon's entropy.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
Neural Network Classification Using Error Entropy Minimization.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Bounds for the Average Generalization Error of the Mixture of Experts Neural Network.
Proceedings of the Structural, 2004

Neural Network Learning: Testing Bounds on Sample Complexity.
Proceedings of the Pattern Recognition in Information Systems, 2004

2003
A Probabilistic Model for the Cooperative Modular Neural Network.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2001
On combining classifiers using sum and product rules.
Pattern Recognit. Lett., 2001

2000
Combining Independent and Unbiased Classifiers Using Weighted Average.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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