Luís A. Alexandre

148 papers A 1B 10C 10Misc 5Journal 69Unranked 50

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey on Task Allocation and Scheduling in Robotic Network Systems. IEEE Internet Things J. Saeid Alirezazadeh, Luís A. Alexandre
2025	J	`jnl`	Are Virtual DES Images a Valid Alternative to the Real Ones? CoRR Ana C. Perre, Luís A. Alexandre, Luís C. Freire
2025	J	`jnl`	Metaheuristic-based energy-aware image compression for mobile app development. Multim. Tools Appl. Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2025	J	`jnl`	Robust Energy Consumption Prediction With a Missing Value-Resilient Metaheuristic-Based Neural Network in Mobile App Development. IEEE Trans. Syst. Man Cybern. Syst. Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2025	J	`jnl`	Toward Less Constrained Macro-Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. Vasco Lopes, Luís A. Alexandre
2024	J	`jnl`	A survey of demonstration learning. Robotics Auton. Syst. André Correia, Luís A. Alexandre
2024	J	`jnl`	Guided evolutionary neural architecture search with efficient performance estimation. Neurocomputing Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
2024	J	`jnl`	Hierarchical Decision Mamba. CoRR André Correia, Luís A. Alexandre
2024	J	`jnl`	Music to Dance as Language Translation using Sequence Models. CoRR André Correia, Luís A. Alexandre
2024	J	`jnl`	Ordered balancing: load balancing for redundant task scheduling in robotic network cloud systems. Clust. Comput. Saeid Alirezazadeh, Luís A. Alexandre
2024	B	`conf`	Schizophrenia Detection Using EEG: A Study on Frequency Relevance. CEC Luís A. Alexandre, Wlodzislaw Duch
2023	J	`jnl`	A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development. CoRR Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2023	J	`jnl`	A Survey of Demonstration Learning. CoRR André Correia, Luís A. Alexandre
2023	J	`jnl`	A Survey on Task Allocation and Scheduling in Robotic Network Systems. CoRR Saeid Alirezazadeh, Luís A. Alexandre
2023	J	`jnl`	Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance. CoRR Vasco Lopes, Bruno Degardin, Luís A. Alexandre
2023	J	`jnl`	Are neural architecture search benchmarks well designed? A deeper look into operation importance. Inf. Sci. Vasco Lopes, Bruno Degardin, Luís A. Alexandre
2023	—	`conf`	Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics. ICONIP (9) Wlodzislaw Duch, Krzysztof Tolpa, Ewa Ratajczak, Marcin Hajnowski, Lukasz Furman, Luís A. Alexandre
2023	B	`conf`	DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety. ESANN André Correia, Luís A. Alexandre
2023	J	`jnl`	DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety. CoRR André Correia, Luís A. Alexandre
2023	J	`jnl`	Energy-aware JPEG image compression: A multi-objective approach. Appl. Soft Comput. Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2023	A	`conf`	Hierarchical Decision Transformer. IROS André Correia, Luís A. Alexandre
2023	J	`jnl`	Improving makespan in dynamic task scheduling for cloud robotic systems with time window constraints. Clust. Comput. Saeid Alirezazadeh, Luís A. Alexandre
2023	J	`jnl`	MPF6D: masked pyramid fusion 6D pose estimation. Pattern Anal. Appl. Nuno Pereira, Luís A. Alexandre
2023	J	`jnl`	Optimal Algorithm Allocation for Single Robot Cloud Systems. IEEE Trans. Cloud Comput. Saeid Alirezazadeh, Luís A. Alexandre
2023	J	`jnl`	Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development. CoRR Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2023	J	`jnl`	Static Algorithm Allocation With Duplication in Robotic Network Cloud Systems. IEEE Trans. Parallel Distributed Syst. Saeid Alirezazadeh, Luís A. Alexandre
2022	—	`conf`	CILDI: Class Incremental Learning with Distilled Images. ISCMI Abel S. Zacarias, Luís A. Alexandre
2022	J	`jnl`	Contrastive Learning from Demonstrations. CoRR André Correia, Luís A. Alexandre
2022	C	`conf`	Controlling Robots using Image Analysis and a Consortium Blockchain. ICARCV Vasco Lopes, Luís A. Alexandre, Nuno Pereira
2022	J	`jnl`	Dynamic Task Scheduling for Human-Robot Collaboration. IEEE Robotics Autom. Lett. Saeid Alirezazadeh, Luís A. Alexandre
2022	—	`conf`	Efficient guided evolution for neural architecture search. GECCO Companion Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
2022	J	`jnl`	Energy-Aware JPEG Image Compression: A Multi-Objective Approach. CoRR Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2022	J	`jnl`	Exploration, Path Planning with Obstacle and Collision Avoidance in a Dynamic Environment. CoRR Saeid Alirezazadeh, Luís A. Alexandre
2022	Misc	`conf`	Facial Emotion Recognition for Sentiment Analysis of Social Media Data. IbPRIA Diandre de Paula, Luís A. Alexandre
2022	—	`conf`	Grasping and Sorting Cutlery in an Unconstrained Environment with a 6 DoF Robotic Arm and an RGB+D Camera. ICARSC Ricardo Vermelho, Luís A. Alexandre
2022	J	`jnl`	Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation. CoRR Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
2022	J	`jnl`	Hierarchical Decision Transformer. CoRR André Correia, Luís A. Alexandre
2022	J	`jnl`	LudVision - Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data. CoRR António J. Abreu, Luís A. Alexandre, João A. Santos, Filippo Basso
2022	—	`conf`	Multi-View Contrastive Learning from Demonstrations. IRC André Correia, Luís A. Alexandre
2022	J	`jnl`	Optimal algorithm allocation for robotic network cloud systems. Robotics Auton. Syst. Saeid Alirezazadeh, André Correia, Luís A. Alexandre
2022	J	`jnl`	Population-based JPEG Image Compression: Problem Re-Formulation. CoRR Seyed Jalaleddin Mousavirad, Luís A. Alexandre
2022	J	`jnl`	Towards Less Constrained Macro-Neural Architecture Search. CoRR Vasco Lopes, Luís A. Alexandre
2021	—	`conf`	A Time-Segmented Consortium Blockchain for Robotic Event Registration. ICBCT Vasco Lopes, Nuno Pereira, Miguel Fernandes, Luís A. Alexandre
2021	B	`conf`	An AutoML-based Approach to Multimodal Image Sentiment Analysis. IJCNN Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro
2021	J	`jnl`	An AutoML-based Approach to Multimodal Image Sentiment Analysis. CoRR Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro
2021	—	`conf`	EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. ICANN (5) Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre
2021	J	`jnl`	EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. CoRR Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre
2021	J	`jnl`	Guided Evolution for Neural Architecture Search. CoRR Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre
2021	—	`conf`	Impact of Segmentation and Color Spaces in 6D Pose Estimation. ICARSC Nuno Pereira, Luís A. Alexandre
2021	J	`jnl`	MPF6D: Masked Pyramid Fusion 6D Pose Estimation. CoRR Nuno Pereira, Luís A. Alexandre
2021	J	`jnl`	Optimal Algorithm Allocation for Robotic Network Cloud Systems. CoRR Saeid Alirezazadeh, André Correia, Luís A. Alexandre
2020	—	`conf`	Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. ICONIP (1) Vasco Lopes, Luís A. Alexandre
2020	J	`jnl`	Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. CoRR Vasco Lopes, Luís A. Alexandre
2020	—	`conf`	Dynamic Task Allocation for Robotic Network Cloud Systems. ISPA/BDCloud/SocialCom/SustainCom Saeid Alirezazadeh, Luís A. Alexandre
2020	J	`jnl`	Dynamic Task Allocation for Robotic Network Cloud Systems. CoRR Saeid Alirezazadeh, Luís A. Alexandre
2020	J	`jnl`	HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization. CoRR Vasco Lopes, Luís A. Alexandre
2020	J	`jnl`	Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints. CoRR Saeid Alirezazadeh, Luís A. Alexandre
2020	C	`conf`	MaskedFusion: Mask-based 6D Object Pose Estimation. ICMLA Nuno Pereira, Luís A. Alexandre
2020	J	`jnl`	Optimal Algorithm Allocation for Single Robot Cloud Systems. CoRR Saeid Alirezazadeh, Luís A. Alexandre
2020	—	`conf`	Real-Time 3D Door Detection and Classification on a Low-Power Device. ICARSC João Gaspar Ramôa, Luís A. Alexandre, S. Mogo
2020	J	`jnl`	Understanding trained CNNs by indexing neuron selectivity. Pattern Recognit. Lett. Ivet Rafegas, María Vanrell, Luís A. Alexandre, Guillem Arias
2019	—	`conf`	A Multimodal Approach to Image Sentiment Analysis. IDEAL (1) António Gaspar, Luís A. Alexandre
2019	J	`jnl`	A Time-Segmented Consortium Blockchain for Robotic Event Registration. CoRR Miguel Fernandes, Luís A. Alexandre
2019	J	`jnl`	Controlling Robots using Artificial Intelligence and a Consortium Blockchain. CoRR Vasco Lopes, Luís A. Alexandre, Nuno Pereira
2019	—	`conf`	Detecting Robotic Anomalies using RobotChain. ICARSC Vasco Lopes, Luís A. Alexandre
2019	J	`jnl`	Lesion classification in mammograms using convolutional neural networks and transfer learning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Ana C. Perre, Luís A. Alexandre, Luís C. Freire
2019	J	`jnl`	MaskedFusion: Mask-based 6D Object Pose Detection. CoRR Nuno Pereira, Luís A. Alexandre
2019	C	`conf`	Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm. PDP Cesar Pereira, Gabriel Falcão, Luís A. Alexandre
2019	—	`conf`	Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. CVPR Workshops Vasco Lopes, Nuno Pereira, Luís A. Alexandre
2018	—	`conf`	"Less is more": Simplifying point clouds to improve grasping performance. ICARSC Vasco Lopes, Luís A. Alexandre, Miguel Fernandes
2018	J	`jnl`	An Overview of Blockchain Integration with Robotics and Artificial Intelligence. CoRR Vasco Lopes, Luís A. Alexandre
2018	J	`jnl`	Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures. Appl. Artif. Intell. Jose Marques, Gabriel Falcão Paiva Fernandes, Luís A. Alexandre
2018	—	`conf`	Exploring Different Normalization and Classification Approaches for Mammography Analysis with CNNs. APPIS Ana C. Perre, Luís A. Alexandre, Luís C. Freire
2018	—	`conf`	Improving SeNA-CNN by Automating Task Recognition. IDEAL (1) Abel S. Zacarias, Luís A. Alexandre
2018	J	`jnl`	Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. CoRR Abel S. Zacarias, Luís A. Alexandre
2018	—	`conf`	SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. ANNPR Abel S. Zacarias, Luís A. Alexandre
2017	J	`jnl`	Distributed learning of CNNs on heterogeneous CPU/GPU architectures. CoRR Jose Marques, Gabriel Falcão, Luís A. Alexandre
2017	J	`jnl`	Distribution-Based Categorization of Classifier Transfer Learning. CoRR Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva, Joaquim Marques de Sá
2017	C	`conf`	On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders on Mobile GPUs. PDP Gabriel Falcão, Luís A. Alexandre, Jose Marques, Xavier Frazão, Joao Maria
2017	Misc	`ed.`	Pattern Recognition and Image Analysis - 8th Iberian Conference, IbPRIA 2017, Faro, Portugal, June 20-23, 2017, Proceedings IbPRIA Luís A. Alexandre, José Salvador Sánchez, João M. F. Rodrigues
2017	J	`jnl`	Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition. CoRR 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
2017	J	`jnl`	Understanding trained CNNs by indexing neuron selectivity. CoRR Ivet Rafegas, María Vanrell, Luís A. Alexandre
2016	—	`conf`	SLAMfusion: Fusing SLAM Methods for Improved Robustness. ICARSC Miguel Fernandes, Luís A. Alexandre
2016	J	`jnl`	Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems. Neural Process. Lett. Joao Maria, Joao Amaro, Gabriel Falcão, Luís A. Alexandre
2015	—	`conf`	3D Computer Vision - From Points to Concepts. ICPRAM (1) Luís A. Alexandre
2015	—	`conf`	3D Computer Vision: From Points to Concepts. ICPRAM (Selected Papers) Luís A. Alexandre
2015	J	`jnl`	BIK-BUS: Biologically Motivated 3D Keypoint Based on Bottom-Up Saliency. IEEE Trans. Image Process. Sílvio Filipe, Laurent Itti, Luís A. Alexandre
2015	—	`conf`	Deep Transfer Learning Ensemble for Classification. IWANN (1) Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos
2015	—	`conf`	Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. IWANN (1) Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de Sá, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva
2014	C	`conf`	3D Object Recognition Using Convolutional Neural Networks with Transfer Learning Between Input Channels. IAS Luís A. Alexandre
2014	—	`conf`	A Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors. ISVC (1) Sílvio Filipe, Luís A. Alexandre
2014	—	`conf`	A Comparative Evaluation of 3D Keypoint Detectors in a RGB-D Object Dataset. VISAPP (1) Sílvio Filipe, Luís A. Alexandre
2014	J	`jnl`	Algorithms for invariant long-wave infrared face segmentation: evaluation and comparison. Pattern Anal. Appl. Sílvio Filipe, Luís A. Alexandre
2014	—	`conf`	DropAll: Generalization of Two Convolutional Neural Network Regularization Methods. ICIAR (1) Xavier Frazão, Luís A. Alexandre
2014	C	`conf`	Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. ICANN Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Jorge M. Santos, Joaquim Marques de Sá
2014	C	`conf`	Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. ICMLA Telmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos
2014	B	`conf`	Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. SMC Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de Sá
2014	—	`conf`	PFBIK-tracking: Particle filter with bio-inspired keypoints tracking. CIMSIVP Sílvio Filipe, Luís A. Alexandre
2014	—	`conf`	Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance. ICIAR (1) Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Joaquim Marques de Sá, Jorge M. Santos
2014	C	`conf`	Weighted Convolutional Neural Network Ensemble. CIARP Xavier Frazão, Luís A. Alexandre
2013	—	`conf`	A Genetic Algorithm-Evolved 3D Point Cloud Descriptor. CIARP (1) Dominik Wegrzyn, Luís A. Alexandre
2013	—	`book`	Minimum Error Entropy Classification Joaquim Marques de Sá, Luís M. Silva, Jorge M. Santos, Luís A. Alexandre
2013	—	`conf`	Set Distance Functions for 3D Object Recognition. CIARP (1) Luís A. Alexandre
2013	Misc	`conf`	Thermal Infrared Face Segmentation: A New Pose Invariant Method. IbPRIA Sílvio Filipe, Luís A. Alexandre
2013	—	`conf`	Using Different Cost Functions to Train Stacked Auto-Encoders. MICAI (Special Sessions) Telmo Amaral, Luís M. Silva, Luís A. Alexandre, Chetak Kandaswamy, Jorge M. Santos, Joaquim Marques de Sá
2012	J	`jnl`	Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. Pattern Recognit. Lett. Hugo Proença, Luís A. Alexandre
2012	J	`jnl`	Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests. IEEE Trans. Inf. Forensics Secur. Hugo Proença, Luís A. Alexandre
2011	—	`conf`	Single Layer Complex Valued Neural Network with Entropic Cost Function. ICANN (1) Luís A. Alexandre
2010	J	`jnl`	Gender recognition: A multiscale decision fusion approach. Pattern Recognit. Lett. Luís A. Alexandre
2010	C	`conf`	Improving Face Segmentation in Thermograms Using Image Signatures. CIARP Sílvio Filipe, Luís A. Alexandre
2010	J	`jnl`	Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. Image Vis. Comput. Hugo Proença, Luís A. Alexandre
2010	J	`jnl`	Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage. Image Vis. Comput. Hugo Proença, Luís A. Alexandre
2010	—	`conf`	Motion Based Particle Filter for Human Tracking with Thermal Imaging. ICETET Chandrashekhar N. Padole, Luís A. Alexandre
2010	J	`jnl`	The MEE Principle in Data Classification: A Perceptron-Based Analysis. Neural Comput. Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2010	J	`jnl`	The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Proença, Sílvio Filipe, Ricardo Santos, João Oliveira, Luís A. Alexandre
2010	—	`conf`	Wigner distribution based motion tracking of human beings using thermal imaging. CVPR Workshops Chandrashekhar N. Padole, Luís A. Alexandre
2009	B	`conf`	Benchmarking reservoir computing on time-independent classification tasks. IJCNN Luís A. Alexandre, Mark J. Embrechts, Jonathan D. Linton
2009	C	`conf`	Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre
2009	—	`conf`	Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. ICANN (1) Luís A. Alexandre, Mark J. Embrechts
2009	B	`conf`	Reservoir computing for static pattern recognition. ESANN Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton
2008	—	`conf`	COST292 experimental framework for TRECVID2008. TRECVID 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, Ersin Esen, A. Aydin Alatan, Naiara Aginako, I. Garcia, António M. G. Pinheiro, Luís A. Alexandre, Marzia Corvaglia, Fabrizio Guerrini, Pierangelo Migliorati, Nastaran Fatemi, Florian Poulin, Laura Elena Raileanu, Roman Jarina, Martin Paralic, Stefanos Vrochidis, Anastasia Moumtzidou, Paul King, Spiros Nikolopoulos, Anastasios Dimou, Vasileios Mezaris, Lambros Makris, Ioannis Kompatsiaris, Suphi Umut Naci, Alan Hanjalic
2008	—	`conf`	Color and Position versus Texture Features for Endoscopic Polyp Detection. BMEI (2) Luís A. Alexandre, Nuno Nobre, João Casteleiro
2008	J	`jnl`	Data classification with multilayer perceptrons using a generalized error function. Neural Networks Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2008	J	`jnl`	LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs. IEEE Trans. Pattern Anal. Mach. Intell. Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
2008	B	`conf`	Text Pre-processing for Lossless Compression. DCC Luís Batista, Luís A. Alexandre
2007	—	`ed.`	Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I ICANN (1) Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic
2007	—	`ed.`	Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II ICANN (2) Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic
2007	—	`conf`	Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments. ISVC (1) Hugo Proença, Luís A. Alexandre
2007	—	`conf`	Polyp Detection in Endoscopic Video Using SVMs. PKDD Luís A. Alexandre, João Casteleiro, Nuno Nobreinst
2007	—	`conf`	The COST292 experimental framework for TRECVID 2007. TRECVID 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, Stefanos Vrochidis, Anastasia Moumtzidou, Spiros Nikolopoulos, Vasileios Mezaris, Lambros Makris, Ioannis Kompatsiaris, Boris Mansencal, Jenny Benois-Pineau, Ersin Esen, A. Aydin Alatan, Evaggelos Spyrou, Petros Kapsalas, Giorgos Tolias, Phivos Mylonas, Yannis Avrithis, Branimir Reljin, Goran Zajic, António M. G. Pinheiro, Luís A. Alexandre, P. Almeida, Roman Jarina, Michal Kuba, Naiara Aginako, Jon Goya
2007	J	`jnl`	Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Proença, Luís A. Alexandre
2006	B	`conf`	A Method for the Identification of Inaccuracies in Pupil Segmentation. ARES Hugo Proença, Luís A. Alexandre
2006	—	`conf`	A Method for the Identification of Noisy Regions in Normalized Iris Images. ICPR (4) Hugo Proença, Luís A. Alexandre
2006	—	`conf`	A Multiclassifier Approach for Lung Nodule Classification. ICIAR (2) Carlos S. Pereira, Luís A. Alexandre, Ana Maria Mendonça, Aurélio C. Campilho
2006	—	`conf`	Error Entropy Minimization for LSTM Training. ICANN (1) Luís A. Alexandre, Joaquim Marques de Sá
2006	J	`jnl`	Error Entropy in Classification Problems: A Univariate Data Analysis. Neural Comput. Luís M. Silva, Carlos S. Felgueiras, Luís A. Alexandre, Joaquim Marques de Sá
2006	—	`conf`	Modular Neural Network Task Decomposition Via Entropic Clustering. ISDA (1) Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
2006	—	`conf`	New developments of the Z-EDM algorithm. ISDA (1) Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2005	—	`conf`	Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. ICANN (2) Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
2005	—	`conf`	Neural Network Classification: Maximizing Zero-Error Density. ICAPR (1) Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá
2005	B	`conf`	Neural network classification using Shannon's entropy. ESANN Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre
2005	Misc	`conf`	UBIRIS: A Noisy Iris Image Database. ICIAP Hugo Proença, Luís A. Alexandre
2004	—	`conf`	Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. SSPR/SPR Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
2004	—	`conf`	Neural Network Classification Using Error Entropy Minimization. WIRN Jorge M. Santos, Luís A. Alexandre, Joaquim Marques de Sá
2004	—	`conf`	Neural Network Learning: Testing Bounds on Sample Complexity. PRIS Joaquim Marques de Sá, Fernando Sereno, Luís A. Alexandre
2003	Misc	`conf`	A Probabilistic Model for the Cooperative Modular Neural Network. IbPRIA Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
2001	J	`jnl`	On combining classifiers using sum and product rules. Pattern Recognit. Lett. Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
2000	B	`conf`	Combining Independent and Unbiased Classifiers Using Weighted Average. ICPR Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel