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ORCIDVictor-Emil Neagoe
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2020 – today
- 2024
[c50]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: 1-6- 2023
- [c49]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: 1-4 - [c48]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: 1-6 - [c47]Liviu Rujan, Victor-Emil Neagoe:
A Novel Approach for Hyperspectral Image Classification using Bat Algorithm to Optimize a CNN Classifier. ECAI 2023: 1-6 - 2022
- [c46]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: 1-6 - [c45]Liviu Rujan, Victor-Emil Neagoe:
A Hybrid Sequential Classifier for Hyperspectral Imagery using Deep CNN with Ant Colony Optimization. ECAI 2022: 1-6 - [c44]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: 1-6 - 2021
- [c43]Gabriela-Loredana Ghenea, Victor-Emil Neagoe:
Concurrent Convolutional Neural Networks with Decision Fusion to Diagnose COVID-19 using Chest X-ray Imagery. ECAI 2021: 1-4 - [c42]Maria-Alexandra Grigore, Victor-Emil Neagoe:
A Deep CNN Approach Using Thermal Imagery for Breast Cancer Diagnosis. ECAI 2021: 1-6 - [c41]Alexandru-Ionel Soltuz, Victor-Emil Neagoe:
Facial Thermal Image Analysis with Deep Convolutional Neural Network Architectures for Subject Dependent Drunkenness Diagnosis. ECAI 2021: 1-4 - 2020
- [c40]Thitimanan Damrongsakmethee, Victor-Emil Neagoe:
A Deep Learning Model with Long Short-Term Memory (DLSTM) for Prediction of Currency Exchange Rates. CSOC (2) 2020: 484-498 - [c39]Thitimanan Damrongsakmethee, Victor-Emil Neagoe:
Stock Market Prediction Using a Deep Learning Approach. ECAI 2020: 1-6 - [c38]Paul Diaconescu, Victor-Emil Neagoe:
Credit Scoring Using Deep Learning Driven by Optimization Algorithms. ECAI 2020: 1-6 - [c37]Victor-Emil Neagoe, Octavian Catrina, Paul Diaconescu:
An Ensemble of Deep Convolutional Neural Networks for Drunkenness Detection Using Thermal Infrared Facial Imagery. COMM 2020: 147-150 - [c36]Victor-Emil Neagoe, Paul Diaconescu:
CNN Hyperspectral Image Classification Using Training Sample Augmentation with Generative Adversarial Networks. COMM 2020: 515-519
2010 – 2019
- 2019
- [c35]Thitimanan Damrongsakmethee, Victor-Emil Neagoe:
Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring. CSOC (2) 2019: 85-95 - [c34]Thitimanan Damrongsakmethee, Victor-Emil Neagoe:
A Neural NARX Approach for Exchange Rate Forecasting. ECAI 2019: 1-6 - [c33]Cristian Iorga, Victor-Emil Neagoe:
A Deep CNN Approach with Transfer Learning for Image Recognition. ECAI 2019: 1-6 - [c32]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: 1669-1672 - [c31]Paul Diaconescu, Victor-Emil Neagoe:
A Higly Configurable Deep Learning Architecture for Hyperspectral Image Classification. SACI 2019: 197-200 - 2018
- [c30]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: 1-4 - [c29]Victor-Emil Neagoe, Catalina-Elena Neghina
:
An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery. ECAI 2018: 1-4 - [c28]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: 4792-4795 - 2017
- [c27]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: 3234-3237 - [c26]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: 4730-4733 - 2016
- [c25]Serban-Vasile Carata, Victor-Emil Neagoe:
A Pulse-Coupled Neural Network approach for image segmentation and its pattern recognition application. COMM 2016: 61-64 - [c24]Victor-Emil Neagoe, Catalina-Elena Neghina:
Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery. COMM 2016: 101-104 - [c23]Victor-Emil Neagoe, Vlad Chirila-Berbentea:
Improved Gaussian mixture model with expectation-maximization for clustering of remote sensing imagery. IGARSS 2016: 3063-3065 - [c22]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: 3386-3389 - 2015
- [c21]Victor-Emil Neagoe, Catalina-Elena Neghina:
Training label cleaning with ant colony optimization for classification of remote sensing imagery. IGARSS 2015: 421-424 - [c20]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: 3274-3277 - 2014
- [j7]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): 3525-3533 (2014) - [c19]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: 1437-1440 - [c18]Victor-Emil Neagoe, Radu-Mihai Stoica:
A new neural network-based approach for automatic annotation of remote sensing imagery. IGARSS 2014: 1781-1784 - 2013
- [c17]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: 1031-1034 - [c16]Victor-Emil Neagoe, Radu-Mihai Stoica, Alexandru-Ioan Ciurea:
A modular neural network model for change detection in earth observation imagery. IGARSS 2013: 3321-3324 - 2012
- [c15]Victor-Emil Neagoe, Adrian-Dumitru Ciotec, Andrei-Petru Barar:
A concurrent neural network approach to pedestrian detection in thermal imagery. COMM 2012: 133-136
2000 – 2009
- 2008
- [c14]Victor-Emil Neagoe:
Decorrelation of the Color Space, Feature/Decision Fusion, and Concurrent Neural Classifiers for Color Pattern Recognition. IPCV 2008: 28-34 - 2007
- [c13]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: 301-306 - 2006
- [c12]Victor-Emil Neagoe:
An Optimum 2D Color Space for Pattern Recognition. IPCV 2006: 526-532 - 2003
- [c11]Sorin Grunwald, Victor-Emil Neagoe:
Optimizing Spectral Power Compression with respect to Inference Performance for Recognition of Tumor Patterns in Ultrasound Images. AMIA 2003 - [c10]Victor-Emil Neagoe, Iuliana-Florentina Iatan, Sorin Grunwald:
A Neuro-Fuzzy Approach to Classification of ECG Signals for Ischemic Heart Disease Diagnosis. AMIA 2003 - 2002
- [c9]Victor-Emil Neagoe, Armand-Dragos Ropot:
Concurrent Self-Organizing Maps for Pattern Classification. IEEE ICCI 2002: 304-312 - [c8]Victor-Emil Neagoe, Iuliana-Florentina Iatan:
Face Recognition Using a Fuzzy-Gaussian Neural Network. IEEE ICCI 2002: 361-368 - 2001
- [c7]Victor-Emil Neagoe:
A Neural Approach to Compression of Hyperspectral Remote Sensing Imagery. Fuzzy Days 2001: 436-449
1990 – 1999
- 1999
- [c6]Victor-Emil Neagoe, Marius Valcu, Bogdan Sabac:
A Neural Approach for Detection of Road Direction in Autonomous Navigation. Fuzzy Days 1999: 324-333 - [c5]Victor-Emil Neagoe, Ionel Fratila:
A Neural Segmentation of Multispectral Satellite Images. Fuzzy Days 1999: 334-341 - 1996
- [j6]Victor-Emil Neagoe:
Inversion of the Van der Monde matrix. IEEE Signal Process. Lett. 3(4): 119-120 (1996) - 1995
- [c4]Victor-Emil Neagoe:
A Circular Kohonen Network for Image Vector Quantization. PARCO 1995: 677-680 - [c3]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: 681-684 - 1993
- [j5]Victor-Emil Neagoe:
Applying pattern recognition principles for intelligent detection of FSK signals. Signal Process. 32(1-2): 257-261 (1993) - [j4]Victor-Emil Neagoe:
A two-dimensional nonuniform sampling expansion model. Signal Process. 33(1): 1-21 (1993) - 1992
- [j3]Victor-Emil Neagoe:
Predictive ordering technique and feedback transform coding for data compression of still pictures. IEEE Trans. Commun. 40(2): 385-396 (1992) - [c2]Victor-Emil Neagoe:
Legendre descriptors for classification of polygonal closed curves. ICPR (2) 1992: 717-720 - [c1]Victor-Emil Neagoe:
Seeking pattern recognition principles for intelligent detection of FSK signals. ICPR (2) 1992: 721-724 - 1990
- [j2]Victor-Emil Neagoe:
Chebyshev nonuniform sampling cascaded with the discrete cosine transform for optimum interpolation. IEEE Trans. Acoust. Speech Signal Process. 38(10): 1812-1815 (1990)
1980 – 1989
- 1988
- [j1]Victor-Emil Neagoe:
Predictive ordering and linear approximation for image data compression. IEEE Trans. Commun. 36(10): 1179-1182 (1988)
Coauthor Index
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