• Bucharest University of Economic Studies, Bucharest
• Country: Romania
• E-mail: catalina[dot]cocianu[at]ie[dot]ase[dot]ro

Catalina-Lucia COCIANU, Professor, PhD, currently working with Academy of Economic Studies, Faculty of Cybernetics, Statistics and Informatics, Department of Informatics in Economy. Competence areas: machine learning, statistical pattern recognition, digital image processing. Research in the fields of pattern recognition, data mining, signal processing. Author of 20 books and more than 100 papers published in national and international journals and conference proceedings.

Recent articles in Informatica Economica

• The Use of LSTM Neural Networks to Implement the NARX Model. A Case Study of EUR-USD Exchange Rates
  Vol. 24, no. 1/2020
• New Approaches of NARX-Based Forecasting Model. A Case Study on CHF-RON Exchange Rate
  Vol. 22, no. 2/2018
• A Novel Noise Removal Method Using Neural Networks
  Vol. 20, no. 3/2016
• An Artificial Neural Network for Data Forecasting Purposes
  Vol. 19, no. 2/2015
• Alternative Strategies in Learning Nonlinear Soft Margin Support Vector Machines
  Vol. 18, no. 2/2014
• Extensions of the SVM Method to the Non-Linearly Separable Data
  Vol. 17, no. 2/2013
• Mathematics behind a Class of Image Restoration Algorithms
  Vol. 16, no. 1/2012
• A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems
  Vol. 14, no. 3/2010
• Partially Supervised Approach in Signal Recognition
  Vol. 13, no. 3/2009
• Denoising Techniques Based on the Multiresolution Representation
  Vol. XII, no. 2/2008
• Fuzzy modeling and bayesian inference network
  Vol. XI, no. 4/2007
• The Use of Features Extracted from Noisy Samples for Image Restoration Purposes
  Vol. XI, no. 1/2007
• Supervised and Unsupervised Classification for Pattern Recognition Purposes
  Vol. X, no. 4/2006
• Image Restoration Using Noisy ICA, PCA Compression and Code Shrinkage Technique
  Vol. X, no. 1/2006