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2020 – today
- 2024
[j29]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: 123891 (2024)- 2023
- [j28]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: 200252 (2023) - [j27]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:
Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning. Remote. Sens. 15(16): 3952 (2023) - [j26]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): 6427 (2023) - [c23]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: 673-681 - 2022
- [j25]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): 2184 (2022) - [c22]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: 285-296 - 2021
- [j24]Ratnajit Mukherjee, Maximino Bessa, Pedro Melo-Pinto, Alan Chalmers:
Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery. IEEE Access 9: 77771-77783 (2021) - [j23]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): 107889 (2021) - [j22]Duarte Fernandes, António Silva, Rafael Névoa, Cláudia Simões, Dibet Garcia Gonzalez, Miguel Guevara, Paulo Novais, João Monteiro, Pedro Melo-Pinto:
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy. Inf. Fusion 68: 161-191 (2021) - [j21]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): 3459 (2021) - [j20]António Silva, Duarte Fernandes, Rafael Névoa, João 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): 7933 (2021) - [j19]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): 8381 (2021) - [c21]Véronique M. Gomes, Pedro Melo-Pinto:
Towards robust Machine Learning models for grape ripeness assessment. JCSSE 2021: 1-5 - 2020
- [c20]Duarte Fernandes, Rafael Névoa, António Silva, Cláudia Simões, João Monteiro, Paulo Novais, Pedro Melo-Pinto:
Comparison of Major LiDAR Data-Driven Feature Extraction Methods for Autonomous Vehicles. WorldCIST (2) 2020: 574-583
2010 – 2019
- 2019
- [j18]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) - 2018
- [j17]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: 140-155 (2018) - [j16]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): 312 (2018) - [c19]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: 1-6 - 2017
- [j15]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: 244-254 (2017) - 2016
- [j14]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: 149-159 (2016) - [c18]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: 535-537 - 2015
- [j13]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: 88-96 (2015) - [j12]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): 6777-6783 (2015) - 2014
- [j11]Pedro Melo-Pinto, Pedro Couto, Edurne Barrenechea:
Editorial. Fuzzy Sets Syst. 241: 1 (2014) - [j10]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: 339-352 (2014) - [c17]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: 188-193 - 2013
- [j9]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): 15-26 (2013) - [j8]Nuno Vieira Lopes, Pedro Couto, Aranzazu Jurio, Pedro Melo-Pinto:
Hierarchical fuzzy logic based approach for object tracking. Knowl. Based Syst. 54: 255-268 (2013) - 2012
- [c16]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: 233-236 - [c15]Kalin Kosev, Pedro Melo-Pinto, Olympia Roeva:
Generalized net model of the lac operon in bacterium E. coli. IEEE Conf. of Intelligent Systems 2012: 237-241 - [e1]Pedro Melo-Pinto, Pedro Couto, Carlos Serôdio, János C. Fodor, Bernard De Baets:
Eurofuse 2011 - Workshop on Fuzzy Methods for Knowledge-Based Systems, Douro Wine Region, Régua, Portugal, 21-23 September 2011. Advances in Intelligent and Soft Computing 107, Springer 2012, ISBN 978-3-642-24000-3 [contents] - 2011
- [j7]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): 51-69 (2011) - [j6]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): 1937-1944 (2011) - [c14]João Matias, Pedro Mestre, Aldina Correia, Pedro Couto, Carlos Serôdio, Pedro Melo-Pinto:
Penalty Fuzzy Function for Derivative-Free Optimization. Eurofuse 2011: 293-301 - [c13]Nuno Vieira Lopes, Pedro Couto, Pedro Melo-Pinto:
Multi-feature Tracking Approach Using Dynamic Fuzzy Sets. Eurofuse 2011: 389-400 - [c12]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: 350-357 - 2010
- [j5]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): 20-36 (2010) - [j4]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): 199-204 (2010) - [c11]Pedro Couto, Nuno Vieira Lopes, Humberto Bustince Sola, Pedro Melo-Pinto:
Fuzzy dynamic model for feature tracking. FUZZ-IEEE 2010: 1-8 - [c10]Pedro Couto, Humberto Bustince Sola, Miguel Pagola, Aranzazu Jurio, Pedro Melo-Pinto:
A-IFSs Entropy Based Image Multi-thresholding. IEA/AIE (3) 2010: 341-349 - [c9]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: 270-275
2000 – 2009
- 2009
- [c8]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: 831-836 - [c7]Pedro Couto, Pedro Melo-Pinto, Humberto Bustince Sola, Edurne Barrenechea Tartas, Miguel Pagola:
Colour Image Segmentation using A-IFSs. IFSA/EUSFLAT Conf. 2009: 963-967 - [c6]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: 1318-1323 - [p2]Humberto Bustince Sola, Miguel Pagola, Aranzazu Jurio, Edurne Barrenechea Tartas, Javier Fernández, Pedro Couto, Pedro Melo-Pinto:
A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing. Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 2009: 3-32 - 2008
- [c5]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: 330-335 - [p1]Humberto Bustince Sola, Miguel Pagola, Pedro Melo-Pinto, Edurne Barrenechea Tartas, Pedro Couto:
Image Threshold Computation by Modelizing Knowledge/Unknowledge by Means of Atanassov's Intuitionistic Fuzzy Sets. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 621-638 - 2007
- [c4]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: 96-103 - 2006
- [j3]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): 6-9 (2006) - 2005
- [j2]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): 35-39 (2005) - 2004
- [j1]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): 125-128 (2004) - [c3]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: 291-297 - 2000
- [c2]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: 202-207 - [c1]Paulo Salgado, Pedro Melo-Pinto, José Bulas-Cruz, Carlos Oouto:
Relevance as a new measure of relative importance of sets of rules. SMC 2000: 3770-3777
Coauthor Index
aka: Humberto Bustince Sola
aka: Pedro Couto
aka: Edurne Barrenechea
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