And/Or Trees for Knowledge Representation. - Luminita State; Radu State (ECSQARU, 1995)

Evolutionary/genetic programming in restricted domains. - Luminita State; Stuart Rubin; Radu State (Neural Parallel Sci. Comput., 1996)

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)

An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate. - Doru Constantin; Luminita State (AMDO, 2008)

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

A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method. - Doru Constantin; Luminita State (ICISP, 2008)

The FastICA Algorithm Based on Successive Approximations with Superior Convergence Rate. - Doru Constantin; Luminita State (IIH-MSP, 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)

A Probabilistic Model-Free Approach in Learning Multivariate Noisy Linear Systems. - Luminita State; Iuliana Paraschiv-Munteanu (SYNASC, 2011)

Cognitive Binary Logic - The Natural Unified Formal Theory of Propositional Binary Logic - Nicolaie Popescu-Bodorin; Luminita State (CoRR, 2011)

A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques. - Luminita State; Iuliana Paraschiv-Munteanu (Int. J. Comput. Commun. Control, 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)