On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos (ITCC, 2002)

On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos; Viorica Stefanescu (ICINCO (3), 2004)

A Neural Network Framework for Implementing the Bayesian Learning. - Luminita State; Catalina Cocianu; Viorica Stefanescu; Panayiotis M. Vlamos (ICINCO (3), 2004)

PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Viorica Stefanescu (ICSOFT (2), 2006)

A Connectionist Approach in Bayesian Classification. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Viorica Stefanescu (ICEIS (2), 2007)

A New Adaptive Classification Scheme Based on Skeleton Information. - Catalina Cocianu; Luminita State; Ion Rosca; Panayiotis M. Vlamos (SIGMAP, 2007)

Principal Directions-Based Algorithm for Classification Tasks. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Doru Constantin (SYNASC, 2007)

A New Learning Algorithm for Classification in the Reduced Space. - Luminita State; Catalina Cocianu; Ion Rosca; Panayiotis M. Vlamos (ICEIS (2), 2008)

Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos; Doru Constantin (PRIS, 2008)

An unsupervised skeleton based method to discover the structure of the class system. - Luminita State; Catalina Cocianu; Panayiotis M. Vlamos (RCIS, 2008)

Decorrelation Techniques in Image Restoration. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos; Doru Constantin (SIGMAP, 2008)

PCA Supervised and Unsupervised Classifiers in Signal Processing. - Catalina Cocianu; Luminita State; Panayiotis M. Vlamos; Doru Constantin; Corina Sararu (PRIS, 2009)

Toward a Semi-supervised Approach in Classification based on Principal Directions. - Luminita State; Catalina Cocianu; Doru Constantin; Corina Sararu; Panayiotis M. Vlamos (SIGMAP, 2009)

A New Method for Learning the Support Vector Machines. - Catalina-Lucia Cocianu; Luminita State; Panayiotis M. Vlamos (ICSOFT (2), 2011)

Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. - Luminita State; Catalina Cocianu; Marinela Mircea (SNPD, 2012)

Artificial Intelligence Applications in Biomedicine. - Panayiotis M. Vlamos; Konstantinos Lefkimmiatis; Catalina Cocianu; Luminita State; Zhiyuan Luo 001 (Adv. Artif. Intell., 2013)

New Attempts in Binary Image Registration. - Catalina Cocianu; Alexandru Stan (CoDIT, 2018)

Towards an Evolution Strategy Approach in Binary Image Registration for Solving Digital Signature Recognition Tasks. - Catalina Cocianu; Alexandru Stan (ICEIS (1), 2018)

New Attempts in Solving Image Recognition Tasks. - Catalina-Lucia Cocianu; Alexandru Stan; Mihai Avramescu (ICIST, 2019)

Firefly-Based Approaches of Image Recognition. - Catalina-Lucia Cocianu; Alexandru Stan; Mihai Avramescu (Symmetry, 2020)

Evolutionary Image Registration: A Review. - Catalina-Lucia Cocianu; Cristian Razvan Uscatu; Alexandru Stan (Sensors, 2023)