Victor-Emil Neagoe

57 papers A 15B 1C 12Misc 3Journal 7Unranked 19

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