Predictive ordering and linear approximation for image data compression. - Victor-Emil Neagoe (IEEE Trans. Commun., 1988)

Chebyshev nonuniform sampling cascaded with the discrete cosine transform for optimum interpolation. - Victor-Emil Neagoe (IEEE Trans. Acoust. Speech Signal Process., 1990)

Legendre descriptors for classification of polygonal closed curves. - Victor-Emil Neagoe (ICPR (2), 1992)

Seeking pattern recognition principles for intelligent detection of FSK signals. - Victor-Emil Neagoe (ICPR (2), 1992)

Predictive ordering technique and feedback transform coding for data compression of still pictures. - Victor-Emil Neagoe (IEEE Trans. Commun., 1992)

A two-dimensional nonuniform sampling expansion model. - Victor-Emil Neagoe (Signal Process., 1993)

Applying pattern recognition principles for intelligent detection of FSK signals. - Victor-Emil Neagoe (Signal Process., 1993)

A Circular Kohonen Network for Image Vector Quantization. - Victor-Emil Neagoe (PARCO, 1995)

A Parallel Image Processing Model for Optimum Direction Finding in Autonomous Vehicle Navigation. - Victor-Emil Neagoe; Ignace Lemahieu; D. Cristureanu; D. Hargalas. B. Constantinescu; C. Popescu (PARCO, 1995)

Inversion of the Van der Monde matrix. - Victor-Emil Neagoe (IEEE Signal Process. Lett., 1996)

A Neural Segmentation of Multispectral Satellite Images. - Victor-Emil Neagoe; Ionel Fratila (Fuzzy Days, 1999)

A Neural Approach for Detection of Road Direction in Autonomous Navigation. - Victor-Emil Neagoe; Marius Valcu; Bogdan Sabac (Fuzzy Days, 1999)

A Neural Approach to Compression of Hyperspectral Remote Sensing Imagery. - Victor-Emil Neagoe (Fuzzy Days, 2001)

Face Recognition Using a Fuzzy-Gaussian Neural Network. - Victor-Emil Neagoe; Iuliana-Florentina Iatan (IEEE ICCI, 2002)

Concurrent Self-Organizing Maps for Pattern Classification. - Victor-Emil Neagoe; Armand-Dragos Ropot (IEEE ICCI, 2002)

Optimizing Spectral Power Compression with respect to Inference Performance for Recognition of Tumor Patterns in Ultrasound Images. - Sorin Grunwald; Victor-Emil Neagoe (AMIA, 2003)

A Neuro-Fuzzy Approach to Classification of ECG Signals for Ischemic Heart Disease Diagnosis. - Victor-Emil Neagoe; Iuliana-Florentina Iatan; Sorin Grunwald (AMIA, 2003)

An Optimum 2D Color Space for Pattern Recognition. - Victor-Emil Neagoe (IPCV, 2006)

Real time face recognition using decision fusion of neural classifiers in the visible and thermal infrared spectrum. - Victor-Emil Neagoe; Armand-Dragos Ropot; Alexandru Cristian Mugioiu (AVSS, 2007)

Decorrelation of the Color Space, Feature/Decision Fusion, and Concurrent Neural Classifiers for Color Pattern Recognition. - Victor-Emil Neagoe (IPCV, 2008)

A concurrent neural network approach to pedestrian detection in thermal imagery. - Victor-Emil Neagoe; Adrian-Dumitru Ciotec; Andrei-Petru Barar (COMM, 2012)

A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps. - Victor-Emil Neagoe; Adrian-Dumitru Ciotec (IGARSS, 2013)

A modular neural network model for change detection in earth observation imagery. - Victor-Emil Neagoe; Radu-Mihai Stoica; Alexandru-Ioan Ciurea (IGARSS, 2013)

A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier. - Victor-Emil Neagoe; Alexandru-Ioan Ciurea; Lorenzo Bruzzone; Francesca Bovolo (IGARSS, 2014)

A new neural network-based approach for automatic annotation of remote sensing imagery. - Victor-Emil Neagoe; Radu-Mihai Stoica (IGARSS, 2014)

Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images. - Victor-Emil Neagoe; Radu-Mihai Stoica; Alexandru-Ioan Ciurea; Lorenzo Bruzzone; Francesca Bovolo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Automatic target recognition in SAR imagery using pulse-coupled neural network segmentation cascaded with virtual training data generation CSOM-based classifier. - Victor-Emil Neagoe; Serban-Vasile Carata; Adrian-Dumitru Ciotec (IGARSS, 2015)

Training label cleaning with ant colony optimization for classification of remote sensing imagery. - Victor-Emil Neagoe; Catalina-Elena Neghina (IGARSS, 2015)

A Pulse-Coupled Neural Network approach for image segmentation and its pattern recognition application. - Serban-Vasile Carata; Victor-Emil Neagoe (COMM, 2016)

Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery. - Victor-Emil Neagoe; Catalina-Elena Neghina (COMM, 2016)

Improved Gaussian mixture model with expectation-maximization for clustering of remote sensing imagery. - Victor-Emil Neagoe; Vlad Chirila-Berbentea (IGARSS, 2016)

A new multispectral pixel change detection approach using pulse-coupled neural networks for change vector analysis. - Victor-Emil Neagoe; Adrian-Dumitru Ciotec; Serban-Vasile Carata (IGARSS, 2016)

A novel approach for semi-supervised classification of remote sensing images using a clustering-based selection of training data according to their GMM responsibilities. - Victor-Emil Neagoe; Vlad Chirila-Berbentea (IGARSS, 2017)

A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery. - Victor-Emil Neagoe; Catalina-Elena Neghina; Vlad Chirila-Berbentea (IGARSS, 2017)

Semi-Supervized Hyperspectral Image Classification using Virtually Labeled Training Data based on the Improved Gaussian Mixture Clustering. - Vlad-Calin Chirila-Berbentea; Victor-Emil Neagoe (ECAI, 2018)

An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery. - Victor-Emil Neagoe; Catalina-Elena Neghina (ECAI, 2018)

A New Neural Approach of Supervised Change Detection in SAR Images Using Training Data Generation with Concurrent Self-Organizing Maps. - Victor-Emil Neagoe; Radu-Mihai Stoica (IGARSS, 2018)

Principal Component Analysis and ReliefF Cascaded with Decision Tree for Credit Scoring. - Thitimanan Damrongsakmethee; Victor-Emil Neagoe (CSOC (2), 2019)

A Neural NARX Approach for Exchange Rate Forecasting. - Thitimanan Damrongsakmethee; Victor-Emil Neagoe (ECAI, 2019)

A Deep CNN Approach with Transfer Learning for Image Recognition. - Cristian Iorga; Victor-Emil Neagoe (ECAI, 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. - Victor-Emil Neagoe; Adrian-Dumitru Ciotec; Lorenzo Bruzzone (IGARSS, 2019)

A Higly Configurable Deep Learning Architecture for Hyperspectral Image Classification. - Paul Diaconescu; Victor-Emil Neagoe (SACI, 2019)

A Deep Learning Model with Long Short-Term Memory (DLSTM) for Prediction of Currency Exchange Rates. - Thitimanan Damrongsakmethee; Victor-Emil Neagoe (CSOC (2), 2020)

Stock Market Prediction Using a Deep Learning Approach. - Thitimanan Damrongsakmethee; Victor-Emil Neagoe (ECAI, 2020)

Credit Scoring Using Deep Learning Driven by Optimization Algorithms. - Paul Diaconescu; Victor-Emil Neagoe (ECAI, 2020)

An Ensemble of Deep Convolutional Neural Networks for Drunkenness Detection Using Thermal Infrared Facial Imagery. - Victor-Emil Neagoe; Octavian Catrina; Paul Diaconescu (COMM, 2020)

CNN Hyperspectral Image Classification Using Training Sample Augmentation with Generative Adversarial Networks. - Victor-Emil Neagoe; Paul Diaconescu (COMM, 2020)

Concurrent Convolutional Neural Networks with Decision Fusion to Diagnose COVID-19 using Chest X-ray Imagery. - Gabriela-Loredana Ghenea; Victor-Emil Neagoe (ECAI, 2021)

A Deep CNN Approach Using Thermal Imagery for Breast Cancer Diagnosis. - Maria-Alexandra Grigore; Victor-Emil Neagoe (ECAI, 2021)

Facial Thermal Image Analysis with Deep Convolutional Neural Network Architectures for Subject Dependent Drunkenness Diagnosis. - Alexandru-Ionel Soltuz; Victor-Emil Neagoe (ECAI, 2021)

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. - Victor-Emil Neagoe; Gabriela-Loredana Ghenea (ECAI, 2022)

A Hybrid Sequential Classifier for Hyperspectral Imagery using Deep CNN with Ant Colony Optimization. - Liviu Rujan; Victor-Emil Neagoe (ECAI, 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. - Ionut-Alexandru Gîrla; Victor-Emil Neagoe (COMM, 2022)

Classification of Chest CT Images for COVID-19 Detection Using an Ensemble of Twin CNNs with Decision Fusion. - Gabriela-Loredana Ghenea; Victor-Emil Neagoe (ECAI, 2023)

Breast Cancer Detection using Thermal Infrared Image Analysis based on Dempster-Shafer Decision Fusion of CNN Classifiers. - Iulia-Ramona Macasoi; Victor-Emil Neagoe (ECAI, 2023)

A Novel Approach for Hyperspectral Image Classification using Bat Algorithm to Optimize a CNN Classifier. - Liviu Rujan; Victor-Emil Neagoe (ECAI, 2023)

A Data Augmentation Approach using WGAN with Grey Wolf Optimizer (GWO) to Improve Deep CNN Weak Supervised Classification of Hyperspectral Images. - Liviu Rujan; Victor-Emil Neagoe (ECAI, 2024)