Victor-Emil Neagoe

Orcid: 0000-0003-1586-6563

According to our database1, Victor-Emil Neagoe authored at least 57 papers between 1988 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Data Augmentation Approach using WGAN with Grey Wolf Optimizer (GWO) to Improve Deep CNN Weak Supervised Classification of Hyperspectral Images.
Proceedings of the 16th International Conference on Electronics, 2024

2023
A Novel Approach for Hyperspectral Image Classification using Bat Algorithm to Optimize a CNN Classifier.
Proceedings of the 15th International Conference on Electronics, 2023

Breast Cancer Detection using Thermal Infrared Image Analysis based on Dempster-Shafer Decision Fusion of CNN Classifiers.
Proceedings of the 15th International Conference on Electronics, 2023

Classification of Chest CT Images for COVID-19 Detection Using an Ensemble of Twin CNNs with Decision Fusion.
Proceedings of the 15th International Conference on Electronics, 2023

2022
A Weakly-Supervised Change Detection for Multispectral Earth Observation Imagery using a Long Short- Term Memory Classifier with a Virtual Training Data Neural Generator.
Proceedings of the 14th International Conference on Communications, 2022

A Hybrid Sequential Classifier for Hyperspectral Imagery using Deep CNN with Ant Colony Optimization.
Proceedings of the 14th International Conference on Electronics, 2022

An Approach of Dempster-Shafer Decision Fusion to Diagnose COVID-19 in Chest X-ray Imagery by Using Controlled Asymmetric Training of the two CNNs Ensemble.
Proceedings of the 14th International Conference on Electronics, 2022

2021
Facial Thermal Image Analysis with Deep Convolutional Neural Network Architectures for Subject Dependent Drunkenness Diagnosis.
Proceedings of the 13th International Conference on Electronics, 2021

A Deep CNN Approach Using Thermal Imagery for Breast Cancer Diagnosis.
Proceedings of the 13th International Conference on Electronics, 2021

Concurrent Convolutional Neural Networks with Decision Fusion to Diagnose COVID-19 using Chest X-ray Imagery.
Proceedings of the 13th International Conference on Electronics, 2021

2020
CNN Hyperspectral Image Classification Using Training Sample Augmentation with Generative Adversarial Networks.
Proceedings of the 13th International Conference on Communications, 2020

An Ensemble of Deep Convolutional Neural Networks for Drunkenness Detection Using Thermal Infrared Facial Imagery.
Proceedings of the 13th International Conference on Communications, 2020

Credit Scoring Using Deep Learning Driven by Optimization Algorithms.
Proceedings of the 12th International Conference on Electronics, 2020

Stock Market Prediction Using a Deep Learning Approach.
Proceedings of the 12th International Conference on Electronics, 2020

A Deep Learning Model with Long Short-Term Memory (DLSTM) for Prediction of Currency Exchange Rates.
Proceedings of the Artificial Intelligence and Bioinspired Computational Methods, 2020

2019
A Higly Configurable Deep Learning Architecture for Hyperspectral Image Classification.
Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Deep CNN Approach with Transfer Learning for Image Recognition.
Proceedings of the 11th International Conference on Electronics, 2019

A Neural NARX Approach for Exchange Rate Forecasting.
Proceedings of the 11th International Conference on Electronics, 2019

Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring.
Proceedings of the Artificial Intelligence Methods in Intelligent Algorithms, 2019

2018
A New Neural Approach of Supervised Change Detection in SAR Images Using Training Data Generation with Concurrent Self-Organizing Maps.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery.
Proceedings of the 2018 10th International Conference on Electronics, 2018

Semi-Supervized Hyperspectral Image Classification using Virtually Labeled Training Data based on the Improved Gaussian Mixture Clustering.
Proceedings of the 2018 10th International Conference on Electronics, 2018

2017
A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A novel approach for semi-supervised classification of remote sensing images using a clustering-based selection of training data according to their GMM responsibilities.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
A new multispectral pixel change detection approach using pulse-coupled neural networks for change vector analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Improved Gaussian mixture model with expectation-maximization for clustering of remote sensing imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery.
Proceedings of the International Conference on Communications, 2016

A Pulse-Coupled Neural Network approach for image segmentation and its pattern recognition application.
Proceedings of the International Conference on Communications, 2016

2015
Training label cleaning with ant colony optimization for classification of remote sensing imagery.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Automatic target recognition in SAR imagery using pulse-coupled neural network segmentation cascaded with virtual training data generation CSOM-based classifier.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A new neural network-based approach for automatic annotation of remote sensing imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
A modular neural network model for change detection in earth observation imagery.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
A concurrent neural network approach to pedestrian detection in thermal imagery.
Proceedings of the 9th International Conference on Communications, 2012

2008
Decorrelation of the Color Space, Feature/Decision Fusion, and Concurrent Neural Classifiers for Color Pattern Recognition.
Proceedings of the 2008 International Conference on Image Processing, 2008

2007
Real time face recognition using decision fusion of neural classifiers in the visible and thermal infrared spectrum.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006
An Optimum 2D Color Space for Pattern Recognition.
Proceedings of the 2006 International Conference on Image Processing, 2006

2003
A Neuro-Fuzzy Approach to Classification of ECG Signals for Ischemic Heart Disease Diagnosis.
Proceedings of the AMIA 2003, 2003

Optimizing Spectral Power Compression with respect to Inference Performance for Recognition of Tumor Patterns in Ultrasound Images.
Proceedings of the AMIA 2003, 2003

2002
Concurrent Self-Organizing Maps for Pattern Classification.
Proceedings of the 1st IEEE International Conference on Cognitive Informatics (ICCI 2002), 2002

Face Recognition Using a Fuzzy-Gaussian Neural Network.
Proceedings of the 1st IEEE International Conference on Cognitive Informatics (ICCI 2002), 2002

2001
A Neural Approach to Compression of Hyperspectral Remote Sensing Imagery.
Proceedings of the Computational Intelligence, 2001

1999
A Neural Approach for Detection of Road Direction in Autonomous Navigation.
Proceedings of the Computational Intelligence, 1999

A Neural Segmentation of Multispectral Satellite Images.
Proceedings of the Computational Intelligence, 1999

1996
Inversion of the Van der Monde matrix.
IEEE Signal Process. Lett., 1996

1995
A Parallel Image Processing Model for Optimum Direction Finding in Autonomous Vehicle Navigation.
Proceedings of the Parallel Computing: State-of-the-Art and Perspectives, 1995

A Circular Kohonen Network for Image Vector Quantization.
Proceedings of the Parallel Computing: State-of-the-Art and Perspectives, 1995

1993
Applying pattern recognition principles for intelligent detection of FSK signals.
Signal Process., 1993

A two-dimensional nonuniform sampling expansion model.
Signal Process., 1993

1992
Predictive ordering technique and feedback transform coding for data compression of still pictures.
IEEE Trans. Commun., 1992

Seeking pattern recognition principles for intelligent detection of FSK signals.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Legendre descriptors for classification of polygonal closed curves.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1990
Chebyshev nonuniform sampling cascaded with the discrete cosine transform for optimum interpolation.
IEEE Trans. Acoust. Speech Signal Process., 1990

1988
Predictive ordering and linear approximation for image data compression.
IEEE Trans. Commun., 1988


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