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2010 – 2019
- 2013
- [j3]Panayiotis M. Vlamos
, Konstantinos Lefkimmiatis, Catalina Cocianu, Luminita State, Zhiyuan Luo:
Artificial Intelligence Applications in Biomedicine. Adv. Artif. Intell. 2013: 219137:1-219137:2 (2013) - 2012
- [c20]Luminita State, Catalina Cocianu
Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. SNPD 2012: 108-113 - 2011
- [j2]Luminita State, Iuliana Paraschiv-Munteanu:
A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques. Int. J. Comput. Commun. Control 6(1): 175-186 (2011) - [c19]Catalina-Lucia Cocianu, Luminita State, Panayiotis M. Vlamos:
A New Method for Learning the Support Vector Machines. ICSOFT (2) 2011: 365-370 - [c18]Luminita State, Iuliana Paraschiv-Munteanu:
A Probabilistic Model-Free Approach in Learning Multivariate Noisy Linear Systems. SYNASC 2011: 239-246 - [i1]Nicolaie Popescu-Bodorin, Luminita State:
Cognitive Binary Logic - The Natural Unified Formal Theory of Propositional Binary Logic. CoRR abs/1106.2352 (2011)
2000 – 2009
- 2009
- [c17]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin, Corina Sararu:
PCA Supervised and Unsupervised Classifiers in Signal Processing. PRIS 2009: 61-70 - [c16]Luminita State, Catalina Cocianu, Doru Constantin, Corina Sararu, Panayiotis M. Vlamos:
Toward a Semi-supervised Approach in Classification based on Principal Directions. SIGMAP 2009: 68-73 - 2008
- [c15]Doru Constantin, Luminita State:
An Improved Algorithm for Estimating the ICA Model Concerning the Convergence Rate. AMDO 2008: 400-408 - [c14]Luminita State, Catalina Cocianu, Ion Rosca, Panayiotis M. Vlamos:
A New Learning Algorithm for Classification in the Reduced Space. ICEIS (2) 2008: 155-160 - [c13]Doru Constantin, Luminita State:
A Version of the FastICA Algorithm Based on the Secant Method Combined with Simple Iterations Method. ICISP 2008: 312-320 - [c12]Doru Constantin, Luminita State:
The FastICA Algorithm Based on Successive Approximations with Superior Convergence Rate. IIH-MSP 2008: 909-912 - [c11]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Doru Constantin:
Neural Approaches to Image Compression/Decompression Using PCA based Learning Algorithms. PRIS 2008: 187-192 - [c10]Luminita State, Catalina Cocianu
An unsupervised skeleton based method to discover the structure of the class system. RCIS 2008: 169-178 - [c9]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Doru Constantin:
Decorrelation Techniques in Image Restoration. SIGMAP 2008: 193-196 - 2007
- [c8]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
A Connectionist Approach in Bayesian Classification. ICEIS (2) 2007: 185-190 - [c7]Catalina Cocianu, Luminita State, Ion Rosca, Panayiotis M. Vlamos:
A New Adaptive Classification Scheme Based on Skeleton Information. SIGMAP 2007: 85-92 - [c6]Luminita State, Catalina Cocianu
Principal Directions-Based Algorithm for Classification Tasks. SYNASC 2007: 137-143 - 2006
- [c5]Luminita State, Catalina Cocianu, Panayiotis M. Vlamos, Viorica Stefanescu:
PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition. ICSOFT (2) 2006: 55-60 - 2004
- [c4]Catalina Cocianu, Luminita State, Panayiotis M. Vlamos, Viorica Stefanescu:
On the Efficiency of a Certain Class of Noise Removal Algorithms in Solving Image Processing Tasks. ICINCO (3) 2004: 320-323 - [c3]Luminita State, Catalina Cocianu, Viorica Stefanescu, Panayiotis M. Vlamos:
A Neural Network Framework for Implementing the Bayesian Learning. ICINCO (3) 2004: 328-331 - 2002
- [c2]Catalina Cocianu
On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study. ITCC 2002: 111-116
1990 – 1999
- 1996
- [j1]Luminita State, Stuart Rubin, Radu State:
Evolutionary/genetic programming in restricted domains. Neural Parallel Sci. Comput. 4(4): 419-444 (1996) - 1995
- [c1]Luminita State, Radu State:
And/Or Trees for Knowledge Representation. ECSQARU 1995: 405-411
Coauthor Index
aka: Catalina-Lucia Cocianu
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