| 2024 | CEC | Schizophrenia Detection Using EEG: A Study on Frequency Relevance. | Lus A. Alexandre, Wlodzislaw Duch |
| 2023 | ESANN | DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety. | Andr Correia, Lus A. Alexandre |
| 2023 | ICONIP | Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics. | Wlodzislaw Duch, Krzysztof Tolpa, Ewa Ratajczak, Marcin Hajnowski, Lukasz Furman, Lus A. Alexandre |
| 2023 | IROS | Hierarchical Decision Transformer. | Andr Correia, Lus A. Alexandre |
| 2022 | GECCO | Efficient guided evolution for neural architecture search. | Vasco Lopes, Miguel Santos, Bruno Degardin, Lus A. Alexandre |
| 2022 | IBPRIA | Facial Emotion Recognition for Sentiment Analysis of Social Media Data. | Diandre de Paula, Lus A. Alexandre |
| 2022 | ICARCV | Controlling Robots using Image Analysis and a Consortium Blockchain. | Vasco Lopes, Lus A. Alexandre, Nuno Pereira |
| 2021 | ICANN | EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. | Vasco Lopes, Saeid Alirezazadeh, Lus A. Alexandre |
| 2021 | IJCNN | An AutoML-based Approach to Multimodal Image Sentiment Analysis. | Vasco Lopes, Antnio Gaspar, Lus A. Alexandre, Joo Cordeiro |
| 2020 | ICMLA | MaskedFusion: Mask-based 6D Object Pose Estimation. | Nuno Pereira, Lus A. Alexandre |
| 2020 | ICONIP | Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. | Vasco Lopes, Lus A. Alexandre |
| 2020 | ISPA | Dynamic Task Allocation for Robotic Network Cloud Systems. | Saeid Alirezazadeh, Lus A. Alexandre |
| 2019 | CVPR | Robot Workspace Monitoring Using a Blockchain-Based 3D Vision Approach. | Vasco Lopes, Nuno Pereira, Lus A. Alexandre |
| 2019 | IDEAL | A Multimodal Approach to Image Sentiment Analysis. | Antnio Gaspar, Lus A. Alexandre |
| 2019 | PDP | Pragma-Oriented Parallelization of the Direct Sparse Odometry SLAM Algorithm. | Cesar Pereira, Gabriel Falco, Lus A. Alexandre |
| 2018 | IDEAL | Improving SeNA-CNN by Automating Task Recognition. | Abel S. Zacarias, Lus A. Alexandre |
| 2017 | PDP | On the Evaluation of Energy-Efficient Deep Learning Using Stacked Autoencoders on Mobile GPUs. | Gabriel Falco, Lus A. Alexandre, Jose Marques, Xavier Frazo, Joao Maria |
| 2015 | ICPRAM | 3D Computer Vision - From Points to Concepts. | Lus A. Alexandre |
| 2015 | ICPRAM | 3D Computer Vision: From Points to Concepts. | Lus A. Alexandre |
| 2015 | IWANN | Deep Transfer Learning Ensemble for Classification. | Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Jorge M. Santos |
| 2015 | IWANN | Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging. | Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de S, Lus A. Alexandre, Jorge M. Santos, Lus M. Silva |
| 2014 | CIARP | Weighted Convolutional Neural Network Ensemble. | Xavier Frazo, Lus A. Alexandre |
| 2014 | IAS | 3D Object Recognition Using Convolutional Neural Networks with Transfer Learning Between Input Channels. | Lus A. Alexandre |
| 2014 | ICANN | Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference. | Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Jorge M. Santos, Joaquim Marques de S |
| 2014 | ICMLA | Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. | Telmo Amaral, Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Joaquim Marques de S, Jorge M. Santos |
| 2014 | ISVC | A Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors. | Slvio Filipe, Lus A. Alexandre |
| 2014 | SMC | Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders. | Chetak Kandaswamy, Lus M. Silva, Lus A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de S |
| 2013 | CIARP | Set Distance Functions for 3D Object Recognition. | Lus A. Alexandre |
| 2013 | CIARP | A Genetic Algorithm-Evolved 3D Point Cloud Descriptor. | Dominik Wegrzyn, Lus A. Alexandre |
| 2013 | IBPRIA | Thermal Infrared Face Segmentation: A New Pose Invariant Method. | Slvio Filipe, Lus A. Alexandre |
| 2011 | ICANN | Single Layer Complex Valued Neural Network with Entropic Cost Function. | Lus A. Alexandre |
| 2010 | CIARP | Improving Face Segmentation in Thermograms Using Image Signatures. | Slvio Filipe, Lus A. Alexandre |
| 2010 | CVPR | Wigner distribution based motion tracking of human beings using thermal imaging. | Chandrashekhar N. Padole, Lus A. Alexandre |
| 2009 | CAIP | Decision Trees Using the Minimum Entropy-of-Error Principle. | Joaquim Marques de S, Joo Gama, Raquel Sebastio, Lus A. Alexandre |
| 2009 | ESANN | Reservoir computing for static pattern recognition. | Mark J. Embrechts, Lus A. Alexandre, Jonathan D. Linton |
| 2009 | ICANN | Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. | Lus A. Alexandre, Mark J. Embrechts |
| 2009 | IJCNN | Benchmarking reservoir computing on time-independent classification tasks. | Lus A. Alexandre, Mark J. Embrechts, Jonathan D. Linton |
| 2008 | DCC | Text Pre-processing for Lossless Compression. | Lus Batista, Lus A. Alexandre |
| 2007 | ISVC | Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments. | Hugo Proena, Lus A. Alexandre |
| 2006 | ICANN | Error Entropy Minimization for LSTM Training. | Lus A. Alexandre, Joaquim Marques de S |
| 2006 | ICPR | A Method for the Identification of Noisy Regions in Normalized Iris Images. | Hugo Proena, Lus A. Alexandre |
| 2006 | ISDA | Modular Neural Network Task Decomposition Via Entropic Clustering. | Jorge M. Santos, Lus A. Alexandre, Joaquim Marques de S |
| 2006 | ISDA | New developments of the Z-EDM algorithm. | Lus M. Silva, Joaquim Marques de S, Lus A. Alexandre |
| 2005 | ESANN | Neural network classification using Shannon's entropy. | Lus M. Silva, Joaquim Marques de S, Lus A. Alexandre |
| 2005 | ICANN | Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. | Jorge M. Santos, Joaquim Marques de S, Lus A. Alexandre |
| 2005 | ICIAP | UBIRIS: A Noisy Iris Image Database. | Hugo Proena, Lus A. Alexandre |
| 2004 | SSPR | Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. | Lus A. Alexandre, Aurlio C. Campilho, Mohamed S. Kamel |
| 2003 | IBPRIA | A Probabilistic Model for the Cooperative Modular Neural Network. | Lus A. Alexandre, Aurlio C. Campilho, Mohamed S. Kamel |
| 2000 | ICPR | Combining Independent and Unbiased Classifiers Using Weighted Average. | Lus A. Alexandre, Aurlio C. Campilho, Mohamed S. Kamel |