Victor-Emil Neagoe

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 29

Top Topics

Change Detection

Hyperspectral Image Classification

Top Venues

Publications

Liviu Rujan, Victor-Emil Neagoe
A Data Augmentation Approach using WGAN with Grey Wolf Optimizer (GWO) to Improve Deep CNN Weak Supervised Classification of Hyperspectral Images. ECAI (2024)
Gabriela-Loredana Ghenea, Victor-Emil Neagoe
Classification of Chest CT Images for COVID-19 Detection Using an Ensemble of Twin CNNs with Decision Fusion. ECAI (2023)
Liviu Rujan, Victor-Emil Neagoe
A Novel Approach for Hyperspectral Image Classification using Bat Algorithm to Optimize a CNN Classifier. ECAI (2023)
Iulia-Ramona Macasoi, Victor-Emil Neagoe
Breast Cancer Detection using Thermal Infrared Image Analysis based on Dempster-Shafer Decision Fusion of CNN Classifiers. ECAI (2023)
Victor-Emil Neagoe, Gabriela-Loredana Ghenea
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. ECAI (2022)
Ionut-Alexandru Gîrla, Victor-Emil Neagoe
A Weakly-Supervised Change Detection for Multispectral Earth Observation Imagery using a Long Short- Term Memory Classifier with a Virtual Training Data Neural Generator. COMM (2022)
Liviu Rujan, Victor-Emil Neagoe
A Hybrid Sequential Classifier for Hyperspectral Imagery using Deep CNN with Ant Colony Optimization. ECAI (2022)
Gabriela-Loredana Ghenea, Victor-Emil Neagoe
Concurrent Convolutional Neural Networks with Decision Fusion to Diagnose COVID-19 using Chest X-ray Imagery. ECAI (2021)
Maria-Alexandra Grigore, Victor-Emil Neagoe
A Deep CNN Approach Using Thermal Imagery for Breast Cancer Diagnosis. ECAI (2021)
Alexandru-Ionel Soltuz, Victor-Emil Neagoe
Facial Thermal Image Analysis with Deep Convolutional Neural Network Architectures for Subject Dependent Drunkenness Diagnosis. ECAI (2021)
Thitimanan Damrongsakmethee, Victor-Emil Neagoe
Stock Market Prediction Using a Deep Learning Approach. ECAI (2020)
Paul Diaconescu, Victor-Emil Neagoe
Credit Scoring Using Deep Learning Driven by Optimization Algorithms. ECAI (2020)
Victor-Emil Neagoe, Paul Diaconescu
CNN Hyperspectral Image Classification Using Training Sample Augmentation with Generative Adversarial Networks. COMM (2020)
Thitimanan Damrongsakmethee, Victor-Emil Neagoe
A Deep Learning Model with Long Short-Term Memory (DLSTM) for Prediction of Currency Exchange Rates. CSOC (2) (2020)
Victor-Emil Neagoe, Octavian Catrina, Paul Diaconescu
An Ensemble of Deep Convolutional Neural Networks for Drunkenness Detection Using Thermal Infrared Facial Imagery. COMM (2020)
Paul Diaconescu, Victor-Emil Neagoe
A Higly Configurable Deep Learning Architecture for Hyperspectral Image Classification. SACI (2019)
Thitimanan Damrongsakmethee, Victor-Emil Neagoe
Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring. CSOC (2) (2019)
Cristian Iorga, Victor-Emil Neagoe
A Deep CNN Approach with Transfer Learning for Image Recognition. ECAI (2019)
Thitimanan Damrongsakmethee, Victor-Emil Neagoe
A Neural NARX Approach for Exchange Rate Forecasting. ECAI (2019)
Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Lorenzo Bruzzone
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. IGARSS (2019)
Victor-Emil Neagoe, Radu-Mihai Stoica
A New Neural Approach of Supervised Change Detection in SAR Images Using Training Data Generation with Concurrent Self-Organizing Maps. IGARSS (2018)
Vlad-Calin Chirila-Berbentea, Victor-Emil Neagoe
Semi-Supervized Hyperspectral Image Classification using Virtually Labeled Training Data based on the Improved Gaussian Mixture Clustering. ECAI (2018)
Victor-Emil Neagoe, Catalina-Elena Neghina
An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery. ECAI (2018)
Victor-Emil Neagoe, Catalina-Elena Neghina, Vlad Chirila-Berbentea
A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery. IGARSS (2017)
Victor-Emil Neagoe, Vlad Chirila-Berbentea
A novel approach for semi-supervised classification of remote sensing images using a clustering-based selection of training data according to their GMM responsibilities. IGARSS (2017)
Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Serban-Vasile Carata
A new multispectral pixel change detection approach using pulse-coupled neural networks for change vector analysis. IGARSS (2016)
Victor-Emil Neagoe, Catalina-Elena Neghina
Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery. COMM (2016)
Serban-Vasile Carata, Victor-Emil Neagoe
A Pulse-Coupled Neural Network approach for image segmentation and its pattern recognition application. COMM (2016)
Victor-Emil Neagoe, Vlad Chirila-Berbentea
Improved Gaussian mixture model with expectation-maximization for clustering of remote sensing imagery. IGARSS (2016)
Victor-Emil Neagoe, Catalina-Elena Neghina
Training label cleaning with ant colony optimization for classification of remote sensing imagery. IGARSS (2015)
Victor-Emil Neagoe, Serban-Vasile Carata, Adrian-Dumitru Ciotec
Automatic target recognition in SAR imagery using pulse-coupled neural network segmentation cascaded with virtual training data generation CSOM-based classifier. IGARSS (2015)
Victor-Emil Neagoe, Alexandru-Ioan Ciurea, Lorenzo Bruzzone, Francesca Bovolo
A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier. IGARSS (2014)
Victor-Emil Neagoe, Radu-Mihai Stoica
A new neural network-based approach for automatic annotation of remote sensing imagery. IGARSS (2014)
Victor-Emil Neagoe, Radu-Mihai Stoica, Alexandru-Ioan Ciurea, Lorenzo Bruzzone, Francesca Bovolo
Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (8) (2014)
Victor-Emil Neagoe, Adrian-Dumitru Ciotec
A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps. IGARSS (2013)
Victor-Emil Neagoe, Radu-Mihai Stoica, Alexandru-Ioan Ciurea
A modular neural network model for change detection in earth observation imagery. IGARSS (2013)
Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Andrei-Petru Barar
A concurrent neural network approach to pedestrian detection in thermal imagery. COMM (2012)
Victor-Emil Neagoe
Decorrelation of the Color Space, Feature/Decision Fusion, and Concurrent Neural Classifiers for Color Pattern Recognition. IPCV (2008)
Victor-Emil Neagoe, Armand-Dragos Ropot, Alexandru Cristian Mugioiu
Real time face recognition using decision fusion of neural classifiers in the visible and thermal infrared spectrum. AVSS (2007)
Victor-Emil Neagoe
An Optimum 2D Color Space for Pattern Recognition. IPCV (2006)
Sorin Grunwald, Victor-Emil Neagoe
Optimizing Spectral Power Compression with respect to Inference Performance for Recognition of Tumor Patterns in Ultrasound Images. AMIA (2003)
Victor-Emil Neagoe, Iuliana-Florentina Iatan, Sorin Grunwald
A Neuro-Fuzzy Approach to Classification of ECG Signals for Ischemic Heart Disease Diagnosis. AMIA (2003)
Victor-Emil Neagoe, Iuliana-Florentina Iatan
Face Recognition Using a Fuzzy-Gaussian Neural Network. IEEE ICCI (2002)
Victor-Emil Neagoe, Armand-Dragos Ropot
Concurrent Self-Organizing Maps for Pattern Classification. IEEE ICCI (2002)
Victor-Emil Neagoe
A Neural Approach to Compression of Hyperspectral Remote Sensing Imagery. Fuzzy Days (2001)
Victor-Emil Neagoe, Marius Valcu, Bogdan Sabac
A Neural Approach for Detection of Road Direction in Autonomous Navigation. Fuzzy Days (1999)
Victor-Emil Neagoe, Ionel Fratila
A Neural Segmentation of Multispectral Satellite Images. Fuzzy Days (1999)
Victor-Emil Neagoe
Inversion of the Van der Monde matrix. IEEE Signal Process. Lett. 3 (4) (1996)
Victor-Emil Neagoe
A Circular Kohonen Network for Image Vector Quantization. PARCO (1995)
Victor-Emil Neagoe, Ignace Lemahieu, D. Cristureanu, D. Hargalas. B. Constantinescu, C. Popescu
A Parallel Image Processing Model for Optimum Direction Finding in Autonomous Vehicle Navigation. PARCO (1995)
Victor-Emil Neagoe
A two-dimensional nonuniform sampling expansion model. Signal Process. 33 (1) (1993)
Victor-Emil Neagoe
Applying pattern recognition principles for intelligent detection of FSK signals. Signal Process. 32 (1-2) (1993)
Victor-Emil Neagoe
Seeking pattern recognition principles for intelligent detection of FSK signals. ICPR (2) (1992)
Victor-Emil Neagoe
Predictive ordering technique and feedback transform coding for data compression of still pictures. IEEE Trans. Commun. 40 (2) (1992)
Victor-Emil Neagoe
Legendre descriptors for classification of polygonal closed curves. ICPR (2) (1992)
Victor-Emil Neagoe
Chebyshev nonuniform sampling cascaded with the discrete cosine transform for optimum interpolation. IEEE Trans. Acoust. Speech Signal Process. 38 (10) (1990)
Victor-Emil Neagoe
Predictive ordering and linear approximation for image data compression. IEEE Trans. Commun. 36 (10) (1988)