A New Paradigm for the Description of Image Patterns - From Pixels to Fuzzy Sets of Rules. - Paulo Salgado; João Barroso 001; José Bulas-Cruz; Pedro Melo-Pinto (SBRN, 2000)

Relevance as a new measure of relative importance of sets of rules. - Paulo Salgado; Pedro Melo-Pinto; José Bulas-Cruz; Carlos Oouto (SMC, 2000)

Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations. - Anthony G. Shannon; Daniela Langova-Orozova; Evdokia Sotirova; Krassimir T. Atanassov; Pedro Melo-Pinto; Taekyun Kim 001 (Fuzzy Days, 2004)

A Generalized Net Model on University Electronic Archives. - Anthony G. Shannon; Daniela Langova-Orozova; Evdokia Sotirova; Krassimir T. Atanassov; Pedro Melo-Pinto; Taekyun Kim 001; Lee-Chae Jang; Dong-Jin Kang (Int. J. Fuzzy Log. Intell. Syst., 2004)

GEeneralized Net Model of Intranet in an Abstract University with Current Estimations. - Daniela Langova-Orozova; Evdokia Sotirova; Krassimir T. Atanassov; Pedro Melo-Pinto; Taekyun Kim 001; Dal-Won Park; Yung-Hwan Kim; Lee-Chae Jang; Dong-Jin Kang (Int. J. Fuzzy Log. Intell. Syst., 2005)

A Note on Generalized Net Model of E-Learning Evaluation Associated with Intuitionistic Fuzzy Estimations. - Anthony G. Shannon; Evdokia Sotirova; Krassimir T. Atanassov; Maciej Krawczak; Pedro Melo-Pinto; Taekyun Kim 001; Lee-Chae Jang; Dong-Jin Kang; Seog-Hoon Rim (Int. J. Fuzzy Log. Intell. Syst., 2006)

Image Threshold Using A-IFSs Based on Bounded Histograms. - Pedro Couto; Humberto Bustince Sola; Vítor Filipe; Edurne Barrenechea Tartas; Miguel Pagola; Pedro Melo-Pinto (IFSA (1), 2007)

Uncertainty in multilevel image thresholding using Atanassov's intuitionistic fuzzy sets. - Pedro Couto; Miguel Pagola; Humberto Bustince Sola; Edurne Barrenechea Tartas; Pedro Melo-Pinto (FUZZ-IEEE, 2008)

Image Threshold Computation by Modelizing Knowledge/Unknowledge by Means of Atanassov's Intuitionistic Fuzzy Sets. - Humberto Bustince Sola; Miguel Pagola; Pedro Melo-Pinto; Edurne Barrenechea Tartas; Pedro Couto (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

Colour Image Segmentation using A-IFSs. - Pedro Couto; Pedro Melo-Pinto; Humberto Bustince Sola; Edurne Barrenechea Tartas; Miguel Pagola (IFSA/EUSFLAT Conf., 2009)

Interval-Valued Restricted Equivalence Functions Applied on Clustering Techniques. - Aranzazu Jurio; Miguel Pagola; Daniel Paternain; Carlos Lopez-Molina; Pedro Melo-Pinto (IFSA/EUSFLAT Conf., 2009)

A A-IFSs Based Image Segmentation Methodology for Gait Analysis. - Pedro Couto; Vítor Filipe; Pedro Melo-Pinto; Humberto Bustince Sola; Edurne Barrenechea Tartas (ISDA, 2009)

A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing. - Humberto Bustince Sola; Miguel Pagola; Aranzazu Jurio; Edurne Barrenechea Tartas; Javier Fernández 002; Pedro Couto; Pedro Melo-Pinto (Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009)

Fuzzy dynamic model for feature tracking. - Pedro Couto; Nuno Vieira Lopes; Humberto Bustince Sola; Pedro Melo-Pinto (FUZZ-IEEE, 2010)

A-IFSs Entropy Based Image Multi-thresholding. - Pedro Couto; Humberto Bustince Sola; Miguel Pagola; Aranzazu Jurio; Pedro Melo-Pinto (IEA/AIE (3), 2010)

A-IFSs based iterative thresholding in gait analysis. - Pedro Couto; Humberto Bustince Sola; Aranzazu Jurio; George Gluhchev; Artur Varejão; Pedro Melo-Pinto (IEEE Conf. of Intelligent Systems, 2010)

Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. - Humberto Bustince Sola; Miguel Pagola; Edurne Barrenechea Tartas; Javier Fernández 002; Pedro Melo-Pinto; Pedro Couto; Hamid R. Tizhoosh; Javier Montero (Fuzzy Sets Syst., 2010)

Automatic Histogram Threshold Using Fuzzy Measures. - Nuno Vieira Lopes; Pedro A. Mogadouro do Couto; Humberto Bustince Sola; Pedro Melo-Pinto (IEEE Trans. Image Process., 2010)

Multi-feature Tracking Approach Using Dynamic Fuzzy Sets. - Nuno Vieira Lopes; Pedro Couto; Pedro Melo-Pinto (Eurofuse, 2011)

Penalty Fuzzy Function for Derivative-Free Optimization. - João Matias; Pedro Mestre; Aldina Correia; Pedro Couto; Carlos Serôdio; Pedro Melo-Pinto (Eurofuse, 2011)

Fuzzy based subcutaneous fat assessment in real time ultrasound images. - Pedro Couto; Severiano Silva; Edurne Barrenechea Tartas; Ana Santos; Pedro Melo-Pinto (EUSFLAT Conf., 2011)

Generalized Atanassov's Intuitionistic Fuzzy Index: Construction of Atanassov's Fuzzy Entropy from Fuzzy Implication Operators. - Humberto Bustince Sola; Edurne Barrenechea Tartas; Miguel Pagola; Javier Fernández 002; Carlos Guerra; Pedro Couto; Pedro Melo-Pinto (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011)

An IVFS-based image segmentation methodology for rat gait analysis. - Pedro Couto; Aranzazu Jurio; Artur Varejão; Miguel Pagola; Humberto Bustince Sola; Pedro Melo-Pinto (Soft Comput., 2011)

Generalized net model of the lac operon in bacterium E. coli. - Kalin Kosev; Pedro Melo-Pinto; Olympia Roeva (IEEE Conf. of Intelligent Systems, 2012)

Generalized net model of the process of selection and usage of an intelligent e-learning system. - Anthony G. Shannon; Beloslav Riecan; Daniela Langova-Orozova; Evdokia Sotirova; Krassimir T. Atanassov; Maciej Krawczak; Pedro Melo-Pinto; Rangasamy Parvathi; Taekyun Kim 001 (IEEE Conf. of Intelligent Systems, 2012)

Image segmentation using Atanassov's intuitionistic fuzzy sets. - Pedro Melo-Pinto; Pedro Couto; Humberto Bustince Sola; Edurne Barrenechea Tartas; Miguel Pagola; Javier Fernández 002 (Expert Syst. Appl., 2013)

Hierarchical fuzzy logic based approach for object tracking. - Nuno Vieira Lopes; Pedro Couto; Aranzazu Jurio; Pedro Melo-Pinto (Knowl. Based Syst., 2013)

Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. - Véronique M. Gomes; Armando M. Fernandes; Arlete Faia; Pedro Melo-Pinto (CIES, 2014)

Editorial. - Pedro Melo-Pinto; Pedro Couto; Edurne Barrenechea (Fuzzy Sets Syst., 2014)

Segmentation of color images using a linguistic 2-tuples model. - Raul Orduna; Aranzazu Jurio; Daniel Paternain; Humberto Bustince; Pedro Melo-Pinto; Edurne Barrenechea (Inf. Sci., 2014)

Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks. - Armando M. Fernandes; Camilo A. Franco; Ana Mendes-Ferreira; Arlete Mendes-Faia; Pedro Leal da Costa; Pedro Melo-Pinto (Comput. Electron. Agric., 2015)

Adaptive Penalty and Barrier function based on Fuzzy Logic. - João Matias; Aldina Correia; Pedro Mestre; Carlos Serôdio; Pedro Couto; Christophe Teixeira; Pedro Melo-Pinto (Expert Syst. Appl., 2015)

Intuitionistic fuzzy evaluations for analysis of a student's knowledge of mathematics in university e-learning courses. - Evdokia Sotirova; Krassimir T. Atanassov; Anthony G. Shannon; Taekyun Kim 001; Maciej Krawczak; Pedro Melo-Pinto; Beloslav Riecan (IEEE Conf. on Intelligent Systems, 2016)

Detecting and grading severity of bacterial spot caused by Xanthomonas spp. in tomato (Solanum lycopersicon) fields using visible spectrum images. - Díbio Leandro Borges; Samuel T. C. de M. Guedes; Abadia R. Nascimento; Pedro Melo-Pinto (Comput. Electron. Agric., 2016)

Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging. - Véronique M. Gomes; Armando M. Fernandes; Arlete Faia; Pedro Melo-Pinto (Comput. Electron. Agric., 2017)

Applying aggregation and pre-aggregation functions in the classification of grape berries. - Giancarlo Lucca; José Antonio Sanz 001; Humberto Bustince; Graçaliz Pereira Dimuro; Véronique M. Gomes; Rui Claudio Constantino Madureira; Pedro Melo-Pinto (FUZZ-IEEE, 2018)

Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks. - Armando M. Fernandes; Andrei B. Utkin; José Eiras-Dias; José C. Silvestre; Jorge Cunha; Pedro Melo-Pinto (Appl. Soft Comput., 2018)

Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries. - Rui Silva; Véronique M. Gomes; Arlete Mendes-Faia; Pedro Melo-Pinto (Remote. Sens., 2018)

Grapevine variety identification using "Big Data" collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks. - Armando M. Fernandes; Andrei B. Utkin; José Eiras-Dias; Jorge Cunha; José C. Silvestre; Pedro Melo-Pinto (Comput. Electron. Agric., 2019)

Comparison of Major LiDAR Data-Driven Feature Extraction Methods for Autonomous Vehicles. - Duarte Fernandes; Rafael Névoa; António Silva 004; Cláudia Simões; João Monteiro 001; Paulo Novais; Pedro Melo-Pinto (WorldCIST (2), 2020)

Towards robust Machine Learning models for grape ripeness assessment. - Véronique M. Gomes; Pedro Melo-Pinto (JCSSE, 2021)

Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery. - Ratnajit Mukherjee; Maximino Bessa; Pedro Melo-Pinto; Alan Chalmers (IEEE Access, 2021)

A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries. - Rui Silva; Pedro Melo-Pinto (Appl. Soft Comput., 2021)

Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy. - Duarte Fernandes; António Silva 004; Rafael Névoa; Cláudia Simões; Dibet Garcia Gonzalez; Miguel Guevara 001; Paulo Novais; João Monteiro 001; Pedro Melo-Pinto (Inf. Fusion, 2021)

Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup. - Duarte Fernandes; Tiago Afonso; Pedro Girão; Dibet Garcia Gonzalez; António Silva 004; Rafael Névoa; Paulo Novais; João Monteiro 001; Pedro Melo-Pinto (Sensors, 2021)

Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries. - Véronique M. Gomes; Ana Mendes-Ferreira; Pedro Melo-Pinto (Sensors, 2021)

Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications. - António Silva 004; Duarte Fernandes; Rafael Névoa; João Monteiro 001; Paulo Novais; Pedro Girão; Tiago Afonso; Pedro Melo-Pinto (Sensors, 2021)

Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models. - Pedro Pereira 003; António Silva 004; Rui Machado; João Silva; Dalila Durães; José Machado 001; Paulo Novais; João Monteiro 001; Pedro Melo-Pinto; Duarte Fernandes (EPIA, 2022)

Customizable FPGA-Based Hardware Accelerator for Standard Convolution Processes Empowered with Quantization Applied to LiDAR Data. - João Silva; Pedro Pereira 003; Rui Machado; Rafael Névoa; Pedro Melo-Pinto; Duarte Fernandes (Sensors, 2022)

Multi-agent System for Multimodal Machine Learning Object Detection. - Eduardo Coelho; Nuno Pimenta; Hugo Peixoto; Dalila Durães; Pedro Melo-Pinto; Victor Alves; Lourenço Bandeira; José Machado 001; Paulo Novais (HAIS, 2023)

A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. - António Linhares Silva 004; Pedro Oliveira 004; Dalila Durães; Duarte Fernandes; Rafael Névoa; João Monteiro 001; Pedro Melo-Pinto; José Machado 001; Paulo Novais (Sensors, 2023)

Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning. - Filipe Monteiro; Vasco Bexiga; Paulo Chaves Ferreira; Joaquim Godinho; David Henriques; Pedro Melo-Pinto; Tiago Nunes; Fernando Piedade; Nelson Pimenta; Luis Sustelo; Armando M. Fernandes (Remote. Sens., 2023)

Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries. - Rui Silva; Osvaldo Gramaxo Freitas; Pedro Melo-Pinto (Intell. Syst. Appl., 2023)

Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries. - Rui Silva; Osvaldo Gramaxo Freitas; Pedro Melo-Pinto (Expert Syst. Appl., 2024)