Pedro Melo-Pinto

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 22

Top Topics

Dimensionality Reduction

Intuitionistic Fuzzy

Top Venues

Comput. Electron. Agric.

Expert Syst. Appl.

Publications

Rui Silva, Osvaldo Gramaxo Freitas, Pedro Melo-Pinto
Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries. Expert Syst. Appl. 250 (2024)
António Linhares Silva, Pedro Oliveira, Dalila Durães, Duarte Fernandes, Rafael Névoa, João Monteiro, Pedro Melo-Pinto, José Machado, Paulo Novais
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. Sensors 23 (14) (2023)
Filipe Monteiro, Vasco Bexiga, Paulo Chaves, Joaquim Godinho, David Henriques, Pedro Melo-Pinto, Tiago Nunes, Fernando Piedade, Nelson Pimenta, Luis Sustelo, Armando M. Fernandes
Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning. Remote. Sens. 15 (16) (2023)
Eduardo Coelho, Nuno Pimenta, Hugo Peixoto, Dalila Durães, Pedro Melo-Pinto, Victor Alves, Lourenço Bandeira, José Machado, Paulo Novais
Multi-agent System for Multimodal Machine Learning Object Detection. HAIS (2023)
Rui Silva, Osvaldo Gramaxo Freitas, Pedro Melo-Pinto
Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries. Intell. Syst. Appl. 19 (2023)
Pedro Pereira, António Silva, Rui Machado, João Silva, Dalila Durães, José Machado, Paulo Novais, João Monteiro, Pedro Melo-Pinto, Duarte Fernandes
Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models. EPIA (2022)
João Silva, Pedro Pereira, Rui Machado, Rafael Névoa, Pedro Melo-Pinto, Duarte Fernandes
Customizable FPGA-Based Hardware Accelerator for Standard Convolution Processes Empowered with Quantization Applied to LiDAR Data. Sensors 22 (6) (2022)
Ratnajit Mukherjee, Maximino Bessa, Pedro Melo-Pinto, Alan Chalmers
Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery. IEEE Access 9 (2021)
Véronique M. Gomes, Ana Mendes-Ferreira, Pedro Melo-Pinto
Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries. Sensors 21 (10) (2021)
António Silva, Duarte Fernandes, Rafael Névoa, João L. Monteiro, Paulo Novais, Pedro Girão, Tiago Afonso, Pedro Melo-Pinto
Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications. Sensors 21 (23) (2021)
Véronique M. Gomes, Pedro Melo-Pinto
Towards robust Machine Learning models for grape ripeness assessment. JCSSE (2021)
Duarte Fernandes, Tiago Afonso, Pedro Girão, Dibet Garcia Gonzalez, António Silva, Rafael Névoa, Paulo Novais, João Monteiro, Pedro Melo-Pinto
Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup. Sensors 21 (24) (2021)
Rui Silva, Pedro Melo-Pinto
A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries. Appl. Soft Comput. 113 (Part) (2021)
Duarte Fernandes, António Silva, Rafael Névoa, Cláudia Simões, Dibet Garcia Gonzalez, Miguel Guevara, Paulo Novais, João L. Monteiro, Pedro Melo-Pinto
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy. Inf. Fusion 68 (2021)
Duarte Fernandes, Rafael Névoa, António Silva, Cláudia Simões, João L. Monteiro, Paulo Novais, Pedro Melo-Pinto
Comparison of Major LiDAR Data-Driven Feature Extraction Methods for Autonomous Vehicles. WorldCIST (2) (2020)
Armando M. Fernandes, Andrei B. Utkin, José Eiras-Dias, Jorge Cunha, José C. Silvestre, Pedro Melo-Pinto
Grapevine variety identification using "Big Data" collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks. Comput. Electron. Agric. 163 (2019)
Armando M. Fernandes, Andrei B. Utkin, José Eiras-Dias, José C. Silvestre, Jorge Cunha, Pedro Melo-Pinto
Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks. Appl. Soft Comput. 72 (2018)
Giancarlo Lucca, José Antonio Sanz, Humberto Bustince, Graçaliz Pereira Dimuro, Véronique M. Gomes, Rui Claudio Constantino Madureira, Pedro Melo-Pinto
Applying aggregation and pre-aggregation functions in the classification of grape berries. FUZZ-IEEE (2018)
Rui Silva, Véronique M. Gomes, Arlete Mendes-Faia, Pedro Melo-Pinto
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries. Remote. Sens. 10 (2) (2018)
Véronique M. Gomes, Armando M. Fernandes, Arlete Faia, Pedro Melo-Pinto
Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging. Comput. Electron. Agric. 140 (2017)
Evdokia Sotirova, Krassimir T. Atanassov, Anthony G. Shannon, Taekyun Kim, Maciej Krawczak, Pedro Melo-Pinto, Beloslav Riecan
Intuitionistic fuzzy evaluations for analysis of a student's knowledge of mathematics in university e-learning courses. IEEE Conf. on Intelligent Systems (2016)
Díbio Leandro Borges, Samuel T. C. de M. Guedes, Abadia R. Nascimento, Pedro Melo-Pinto
Detecting and grading severity of bacterial spot caused by Xanthomonas spp. in tomato (Solanum lycopersicon) fields using visible spectrum images. Comput. Electron. Agric. 125 (2016)
João Matias, Aldina Correia, Pedro Mestre, Carlos Serôdio, Pedro Couto, Christophe Teixeira, Pedro Melo-Pinto
Adaptive Penalty and Barrier function based on Fuzzy Logic. Expert Syst. Appl. 42 (19) (2015)
Armando M. Fernandes, Camilo A. Franco, Ana Mendes-Ferreira, Arlete Mendes-Faia, Pedro Leal da Costa, Pedro Melo-Pinto
Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks. Comput. Electron. Agric. 115 (2015)
Pedro Melo-Pinto, Pedro Couto, Edurne Barrenechea
Editorial. Fuzzy Sets Syst. 241 (2014)
Véronique M. Gomes, Armando M. Fernandes, Arlete Faia, Pedro Melo-Pinto
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. CIES (2014)
Raul Orduna, Aranzazu Jurio, Daniel Paternain, Humberto Bustince, Pedro Melo-Pinto, Edurne Barrenechea
Segmentation of color images using a linguistic 2-tuples model. Inf. Sci. 258 (2014)
Pedro Melo-Pinto, Pedro Couto, Humberto Bustince Sola, Edurne Barrenechea Tartas, Miguel Pagola, Javier Fernández
Image segmentation using Atanassov's intuitionistic fuzzy sets. Expert Syst. Appl. 40 (1) (2013)
Nuno Vieira Lopes, Pedro Couto, Aranzazu Jurio, Pedro Melo-Pinto
Hierarchical fuzzy logic based approach for object tracking. Knowl. Based Syst. 54 (2013)
Kalin Kosev, Pedro Melo-Pinto, Olympia Roeva
Generalized net model of the lac operon in bacterium E. coli. IEEE Conf. of Intelligent Systems (2012)
Anthony G. Shannon, Beloslav Riecan, Daniela Langova-Orozova, Evdokia Sotirova, Krassimir T. Atanassov, Maciej Krawczak, Pedro Melo-Pinto, Rangasamy Parvathi, Taekyun Kim
Generalized net model of the process of selection and usage of an intelligent e-learning system. IEEE Conf. of Intelligent Systems (2012)
Humberto Bustince Sola, Edurne Barrenechea Tartas, Miguel Pagola, Javier Fernández, Carlos Guerra, Pedro Couto, Pedro Melo-Pinto
Generalized Atanassov's Intuitionistic Fuzzy Index: Construction of Atanassov's Fuzzy Entropy from Fuzzy Implication Operators. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19 (1) (2011)
Pedro Couto, Severiano Silva, Edurne Barrenechea Tartas, Ana Santos, Pedro Melo-Pinto
Fuzzy based subcutaneous fat assessment in real time ultrasound images. EUSFLAT Conf. (2011)
Nuno Vieira Lopes, Pedro Couto, Pedro Melo-Pinto
Multi-feature Tracking Approach Using Dynamic Fuzzy Sets. Eurofuse (2011)
João Matias, Pedro Mestre, Aldina Correia, Pedro Couto, Carlos Serôdio, Pedro Melo-Pinto
Penalty Fuzzy Function for Derivative-Free Optimization. Eurofuse (2011)
Pedro Couto, Aranzazu Jurio, Artur Varejão, Miguel Pagola, Humberto Bustince Sola, Pedro Melo-Pinto
An IVFS-based image segmentation methodology for rat gait analysis. Soft Comput. 15 (10) (2011)
Pedro Couto, Nuno Vieira Lopes, Humberto Bustince Sola, Pedro Melo-Pinto
Fuzzy dynamic model for feature tracking. FUZZ-IEEE (2010)
Pedro Couto, Humberto Bustince Sola, Miguel Pagola, Aranzazu Jurio, Pedro Melo-Pinto
A-IFSs Entropy Based Image Multi-thresholding. IEA/AIE (3) (2010)
Humberto Bustince Sola, Miguel Pagola, Edurne Barrenechea Tartas, Javier Fernández, Pedro Melo-Pinto, Pedro Couto, Hamid R. Tizhoosh, Javier Montero
Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images. Fuzzy Sets Syst. 161 (1) (2010)
Pedro Couto, Humberto Bustince Sola, Aranzazu Jurio, George Gluhchev, Artur Varejão, Pedro Melo-Pinto
A-IFSs based iterative thresholding in gait analysis. IEEE Conf. of Intelligent Systems (2010)
Nuno Vieira Lopes, Pedro A. Mogadouro do Couto, Humberto Bustince Sola, Pedro Melo-Pinto
Automatic Histogram Threshold Using Fuzzy Measures. IEEE Trans. Image Process. 19 (1) (2010)
Aranzazu Jurio, Miguel Pagola, Daniel Paternain, Carlos Lopez-Molina, Pedro Melo-Pinto
Interval-Valued Restricted Equivalence Functions Applied on Clustering Techniques. IFSA/EUSFLAT Conf. (2009)
Pedro Couto, Vítor Filipe, Pedro Melo-Pinto, Humberto Bustince Sola, Edurne Barrenechea Tartas
A A-IFSs Based Image Segmentation Methodology for Gait Analysis. ISDA (2009)
Pedro Couto, Pedro Melo-Pinto, Humberto Bustince Sola, Edurne Barrenechea Tartas, Miguel Pagola
Colour Image Segmentation using A-IFSs. IFSA/EUSFLAT Conf. (2009)
Pedro Couto, Miguel Pagola, Humberto Bustince Sola, Edurne Barrenechea Tartas, Pedro Melo-Pinto
Uncertainty in multilevel image thresholding using Atanassov's intuitionistic fuzzy sets. FUZZ-IEEE (2008)
Pedro Couto, Humberto Bustince Sola, Vítor Filipe, Edurne Barrenechea Tartas, Miguel Pagola, Pedro Melo-Pinto
Image Threshold Using A-IFSs Based on Bounded Histograms. IFSA (1) (2007)
Anthony G. Shannon, Evdokia Sotirova, Krassimir T. Atanassov, Maciej Krawczak, Pedro Melo-Pinto, Taekyun Kim, Lee-Chae Jang, Dong-Jin Kang, Seog-Hoon Rim
A Note on Generalized Net Model of E-Learning Evaluation Associated with Intuitionistic Fuzzy Estimations. Int. J. Fuzzy Log. Intell. Syst. 6 (1) (2006)
Daniela Langova-Orozova, Evdokia Sotirova, Krassimir T. Atanassov, Pedro Melo-Pinto, Taekyun Kim, Dal-Won Park, Yung-Hwan Kim, Lee-Chae Jang, Dong-Jin Kang
GEeneralized Net Model of Intranet in an Abstract University with Current Estimations. Int. J. Fuzzy Log. Intell. Syst. 5 (1) (2005)
Anthony G. Shannon, Daniela Langova-Orozova, Evdokia Sotirova, Krassimir T. Atanassov, Pedro Melo-Pinto, Taekyun Kim, Lee-Chae Jang, Dong-Jin Kang
A Generalized Net Model on University Electronic Archives. Int. J. Fuzzy Log. Intell. Syst. 4 (2) (2004)
Anthony G. Shannon, Daniela Langova-Orozova, Evdokia Sotirova, Krassimir T. Atanassov, Pedro Melo-Pinto, Taekyun Kim
Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations. Fuzzy Days (2004)
Paulo Salgado, João Barroso, José Bulas-Cruz, Pedro Melo-Pinto
A New Paradigm for the Description of Image Patterns - From Pixels to Fuzzy Sets of Rules. SBRN (2000)
Paulo Salgado, Pedro Melo-Pinto, José Bulas-Cruz, Carlos Oouto
Relevance as a new measure of relative importance of sets of rules. SMC (2000)