Pedro Melo-Pinto

Orcid: 0000-0001-8257-0143

According to our database1, Pedro Melo-Pinto authored at least 53 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries.
Intell. Syst. Appl., September, 2023

Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning.
Remote. Sens., August, 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.
Sensors, July, 2023

Multi-agent System for Multimodal Machine Learning Object Detection.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022
Customizable FPGA-Based Hardware Accelerator for Standard Convolution Processes Empowered with Quantization Applied to LiDAR Data.
Sensors, 2022

Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Resource-Constrained Onboard Inference of 3D Object Detection and Localisation in Point Clouds Targeting Self-Driving Applications.
Sensors, 2021

Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries.
Sensors, 2021

Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup.
Sensors, 2021

Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy.
Inf. Fusion, 2021

A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries.
Appl. Soft Comput., 2021

Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery.
IEEE Access, 2021

Towards robust Machine Learning models for grape ripeness assessment.
Proceedings of the 18th International Joint Conference on Computer Science and Software Engineering, 2021

2020
Comparison of Major LiDAR Data-Driven Feature Extraction Methods for Autonomous Vehicles.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

2019
Grapevine variety identification using "Big Data" collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks.
Comput. Electron. Agric., 2019

2018
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries.
Remote. Sens., 2018

Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks.
Appl. Soft Comput., 2018

Applying aggregation and pre-aggregation functions in the classification of grape berries.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
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., 2017

2016
Detecting and grading severity of bacterial spot caused by Xanthomonas spp. in tomato (Solanum lycopersicon) fields using visible spectrum images.
Comput. Electron. Agric., 2016

Intuitionistic fuzzy evaluations for analysis of a student's knowledge of mathematics in university e-learning courses.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2015
Adaptive Penalty and Barrier function based on Fuzzy Logic.
Expert Syst. Appl., 2015

Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks.
Comput. Electron. Agric., 2015

2014
Segmentation of color images using a linguistic 2-tuples model.
Inf. Sci., 2014

Editorial.
Fuzzy Sets Syst., 2014

Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
Hierarchical fuzzy logic based approach for object tracking.
Knowl. Based Syst., 2013

Image segmentation using Atanassov's intuitionistic fuzzy sets.
Expert Syst. Appl., 2013

2012
Generalized net model of the process of selection and usage of an intelligent e-learning system.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Generalized net model of the lac operon in bacterium E. coli.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

2011
An IVFS-based image segmentation methodology for rat gait analysis.
Soft Comput., 2011

Generalized Atanassov's Intuitionistic Fuzzy Index: Construction of Atanassov's Fuzzy Entropy from Fuzzy Implication Operators.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

Fuzzy based subcutaneous fat assessment in real time ultrasound images.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

Penalty Fuzzy Function for Derivative-Free Optimization.
Proceedings of the Eurofuse 2011, 2011

Multi-feature Tracking Approach Using Dynamic Fuzzy Sets.
Proceedings of the Eurofuse 2011, 2011

2010
Automatic Histogram Threshold Using Fuzzy Measures.
IEEE Trans. Image Process., 2010

Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images.
Fuzzy Sets Syst., 2010

A-IFSs based iterative thresholding in gait analysis.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

A-IFSs Entropy Based Image Multi-thresholding.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Fuzzy dynamic model for feature tracking.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

A A-IFSs Based Image Segmentation Methodology for Gait Analysis.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Interval-Valued Restricted Equivalence Functions Applied on Clustering Techniques.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Colour Image Segmentation using A-IFSs.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Image Threshold Computation by Modelizing Knowledge/Unknowledge by Means of Atanassov's Intuitionistic Fuzzy Sets.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Uncertainty in multilevel image thresholding using Atanassov's intuitionistic fuzzy sets.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Image Threshold Using A-IFSs Based on Bounded Histograms.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

2006
A Note on Generalized Net Model of E-Learning Evaluation Associated with Intuitionistic Fuzzy Estimations.
Int. J. Fuzzy Log. Intell. Syst., 2006

2005
GEeneralized Net Model of Intranet in an Abstract University with Current Estimations.
Int. J. Fuzzy Log. Intell. Syst., 2005

2004
A Generalized Net Model on University Electronic Archives.
Int. J. Fuzzy Log. Intell. Syst., 2004

Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations.
Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

2000
Relevance as a new measure of relative importance of sets of rules.
Proceedings of the IEEE International Conference on Systems, 2000

A New Paradigm for the Description of Image Patterns - From Pixels to Fuzzy Sets of Rules.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000


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