Asist.dr.ing. Cătălina NEGHINĂ
Birou: IM418
E-mail: catalina.neghina@ulbsibiu.ro
CV
Activitate didactică și de cercetare
Articole indexate ISI (proceedings)
  • Horvath BALAZS, Catalina NEGHINA, Andreea Griparis, Alina Sultana, “Automatic Detection of Infantile Hemangioma using Convolutional Neural Network Approach”, International Conference on e-Health and Bioengineering, EHB 8-th Edition, Iasi, Romania, 2020 (urmează să apară pe platforma WoS)
  • Alina Sultana, Horvath BALAZS, Silvia OVREIU, Serban OPRISESCU, Catalina-Elena Neghina, “Infantile Hemangioma Detection using Deep Learning”, 13th International Conference on Communications (COMM), București, Romania, 2020 (urmează să apară pe platforma WoS)
  • Alina Sultana, Catalina Neghina, Marta Zamfir, “Automatic Monitoring System for the Evolution of the Hemangiomas”, Conference: 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), Location: Bucharest, ROMANIA, ISBN:978-1-4799-7514-3, 2019
  • Victor-Emil Neagoe, Catalina-Elena Neghina, “An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery”, Conference: Electronics, Computers and Artificial Intelligence (ECAI), Iasi, ROMANIA, Electronic ISBN: 978-1-5386-4901-5, USB ISBN: 978-1-5386-4900-8, DOI: 10.1109/ECAI.2018.8679082, 2018
  • Neagoe Victor-Emil, Neghina Catalina-Elena, Chirila-Berbentea Vlad, “A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery”, Conference: IEEE International Geoscience & Remote Sensing Symposium (IGARS), Location: Fort Worth, TX, Pages: 3234-3237, 2017
  • C. Neghină, M. Zamfir, M. Ciuc, A. Sultana, M. Popescu, “Automatic monitoring system for the detection and evaluation of the evolution of hemangiomas”, International Conference on Image Processing Theory, Tools and Applications (IPTA), Oulu, Finland, 2016
  • C. Neghină, M. Zamfir, M. Ciuc, A. Sultana, “Automatic detection of hemangioma through a cascade of Self-Organizing Map clustering and morphological operators”, 20th Conference on Medical Image Understanding and Analysis (MIUA), Loughborough, UK, Published by Elsevier, ISBN: 978-1-5108-2708-0, Procedia Computer Science, Volume 90, pp. 145 – 150, 2016
  • Cătălina Neghină, Marta Zamfir, Alina Sultana, Elena Ovreiu, Mihai Ciuc, “Automatic detection of hemangiomas using unsupervised segmentation of regions of interest”, IEEE International Conference on Communications (COMM), pages: 69 – 72, ISBN: 978-1-4673-8198-7, București, Romania, 2016
  • Victor-Emil Neagoe, Elena Cătălina NEGHINĂ, "Feature Selection with Ant Colony Optimization and Its Applications for Pattern Recognition in Space Imagery", IEEE International Conference on Communications (COMM), Pages: 101 – 104, ISBN: 978-1-4673-8198-7, București, Romania, 2016
  • Neagoe Victor-Emil, Neghină Catalina-Elena, “Training label cleaning with ant colony optimization for classification of remote sensing”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, ITALY, pages: 421-424, ISBN: 978-1-4799-7929-5, ISSN: 2153-6996, 2015
Articole în jurnale
  • C. Neghină, V. Neagoe, R. Stoica, A. Ciotec, “Neural and Ant Colony Optimization versus Statistical Models for Supervised Classification of Multispectral Remote-Sensing Imagery”, Scientific Bulletin of the Polytechnic University of Bucharest, Series C, Vol. 75, Iss. 3, ISSN 2286-3540, pp. 88 - 100, 2013
Articole indexate BDI
  • Victor-Emil Neagoe, Catalina-Elena Neghina, Lorenzo Bruzzone, Francesca Bovolo, “Ant Colony Optimization band selection for classification of multispectral Earth observation imagery”, Proceedings of the 2014 conference on Big Data from Space (BiDS), Frascati, Italia, pp. 291-294, ISBN: 9789279432521, 2014
  • V. Neagoe, A. Ciotec, C. Neghina, G. Strugaru , “New Computational Intelligence-Based Techniques for Training Sample Selection/Generation to Improve Spatial-Contextual Classification of Multispectral Remote Sensing Imagery”, Proceedings of the 3rd European Conference of Computer Science (ECCS12), Paris, France, ISBN: 978-1-61804-140-1, pp. 21-26, 2012
  • V. Neagoe, C. Neghină, “An Artificial Immune System Approach for Unsupervised Pattern Recognition in Multispectral Remote-Sensing Imagery”, Proceedings of the Applied Computing Conference 2011 (ACC '11), Angers, France, ISBN: 978-1-61804-051-0, pp. 228-233, 2011
  • V. Neagoe, C. Neghină and M. Neghină, "Ant Colony Optimization for Logistic Regression and Its Application to Wine Quality Assessment", Proceedings of the International IEEEAM Conference on Mathematical Models for Engineering Science (MMES'10), Tenerife, Spain, vol. I, pp. 195-200, ISBN: 978-960-474-252-3, 2010
Brevete
  • Neghină et al. “Detecting facial expressions in digital images”, United States Patent, Patent no. 8,750,578, Date of Patent: Jun. 10.2014 Inventors: Neghina Catalina (Bucharest, RO), Gangea Mihnea (Bucharest, RO), Petrescu Stefan (Bucharest, RO), Bigioi Petronel (Galway, IE), David Emilian (Bucharest, RO), Zarakov Eric (San Jose, CA, US), Steinberg Eran (San Jose, CA, US), 2014
Cărți
  • Cătălina NEGHINĂ, Mihai NEGHINĂ, “MATLAB. Metode de clasificare și segmentare”, ISBN: 978-973-0-31041-2, ediție electronică – CD-ROM, 2019
  • Cătălina NEGHINĂ, Alina SULTANA, Mihai NEGHINĂ, “MATLAB. Un prim pas spre cercetare”, Editura Universității “Lucian Blaga”, ISBN: ISBN 978-606-12-1213-2, Sibiu, 2016
  • Ioan P. MIHU, Cătălina NEGHINĂ, “Prelucrarea Digitală a Semnalelor. Aplicații didactice în Matlab”, Editura Universității “Lucian Blaga”, ISBN: 978-606-12-0796-1, Sibiu, 2014
Teză de doctorat
  • Contribuții la dezvoltarea unor metode inteligente de inspirație naturală pentru recunoașterea formelor, coordonator Prof. Dr. Ing. Victor-Emil NEAGOE, Universitatea Politehnica din București, 2012