| 2019 | IGARSS | 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 |
| 2019 | SACI | A Higly Configurable Deep Learning Architecture for Hyperspectral Image Classification. | Paul Diaconescu, Victor-Emil Neagoe |
| 2018 | IGARSS | 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 |
| 2017 | IGARSS | 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 |
| 2017 | IGARSS | 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 |
| 2016 | IGARSS | Improved Gaussian mixture model with expectation-maximization for clustering of remote sensing imagery. | Victor-Emil Neagoe, Vlad Chirila-Berbentea |
| 2016 | IGARSS | 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 |
| 2015 | IGARSS | 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 |
| 2015 | IGARSS | Training label cleaning with ant colony optimization for classification of remote sensing imagery. | Victor-Emil Neagoe, Catalina-Elena Neghina |
| 2014 | IGARSS | 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 |
| 2014 | IGARSS | A new neural network-based approach for automatic annotation of remote sensing imagery. | Victor-Emil Neagoe, Radu-Mihai Stoica |
| 2013 | IGARSS | A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps. | Victor-Emil Neagoe, Adrian-Dumitru Ciotec |
| 2013 | IGARSS | A modular neural network model for change detection in earth observation imagery. | Victor-Emil Neagoe, Radu-Mihai Stoica, Alexandru-Ioan Ciurea |
| 2007 | AVSS | 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 |
| 2003 | AMIA | Optimizing Spectral Power Compression with respect to Inference Performance for Recognition of Tumor Patterns in Ultrasound Images. | Sorin Grunwald, Victor-Emil Neagoe |
| 2003 | AMIA | A Neuro-Fuzzy Approach to Classification of ECG Signals for Ischemic Heart Disease Diagnosis. | Victor-Emil Neagoe, Iuliana-Florentina Iatan, Sorin Grunwald |
| 1992 | ICPR | Legendre descriptors for classification of polygonal closed curves. | Victor-Emil Neagoe |
| 1992 | ICPR | Seeking pattern recognition principles for intelligent detection of FSK signals. | Victor-Emil Neagoe |