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Ljubinka Gjergjeska Sandjakoska
Ljubinka Gjergjeska Sandjakoska
Afiliere necunoscută
Adresă de e-mail confirmată pe uist.edu.mk
Titlu
Citat de
Citat de
Anul
Review of the software packages for estimation of the fractal dimension
E Hadzieva, DC Bogatinoska, L Gjergjeska, M Shuminoska, R Petroski
ICT innovations, 201-211, 2015
112015
How initialization is related to deep neural networks generalization capability: Experimental study
L Sandjakoska, F Stojanovska
2020 55th International Scientific Conference on Information, Communication …, 2020
82020
Goals of cognitonics in formal ICT education
I Panev, I Pogarcic, L Gjergjeska, VA Fomichov, OS Fomichova
Informacijska druzba-IS, 61-65, 2017
72017
Is the fractal dimension of the contour-lines a reliable tool for classification of medical images?
E Hadzieva, DC Bogatinoska, R Petroski, M Shuminoska, L Gjergjeska, ...
MATEC Web of Conferences 76, 05002, 2016
52016
Deep Learning: The future of chemoinformatics and drug development
L Sandjakoska, AM Bogdanova
Procidings of 15th International Conference on Informatics and Information …, 2018
32018
Secondary structure prediction of RNA using convolutional neural networks
B Chauleva, A Hristov, UR Shikoska, LG Sandjakoska
International Journal of Student Project Reporting 1 (1), 43-67, 2022
12022
Single RNA Secondary Structure Prediction based Dynamical programming algorithms: to parallelize or not?
B Chauleva, L Sandjakoska, A Hristov
Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science …, 2020
12020
Novel Methodology for Improving the Generalization Capability of Chemo-Informatics Deep Learning Models
L Sandjakoska, AM Bogdanova, L Pejov
International Conference on ICT Innovations, 161-174, 2022
2022
Activation functions’ impact on regularization of deep neural networks application in atomic simulations
L Sandjakoska, A Madevska Bogdanova
2022
HOW DATA ENGINEERING AND BIG DATA ANALYTICS CANCONTRIBUTE INTO INTRODUCING INTELLIGENCE IN BUSINESS: A CASE STUDY
O Petan, L Sandjakoska, A Hristov
Balkan Journal of Applied Mathematics and Informatics 4 (1), 59-67, 2021
2021
Proceedings of the 17th International Conference for Informatics and Information Technology-CIIT 2020
E Zdravevski, P Lameski
Faculty of Computer Science and Engineering, Saints Cyril and Methodius …, 2020
2020
On the importance of deep learning regularization techniques in knowledge discovery
L Sandjakoska, A Hristov, AM Bogdanova
BigSkyEarth Conference: AstroGeoInformatics, 1, 2018
2018
Towards Stochasticity of Regularization in Deep Neural Networks
L Sandjakoska, AM Bogdanova
2018 14th Symposium on Neural Networks and Applications (NEUREL), 1-4, 2018
2018
Dropout Regularization in Deep Neural Networks Used in Atomic Simulations
L Sandjakoska
Proceedings/8 th International conference on applied internet and …, 2018
2018
Data Driven Approaches for Drug Resistance Modeling: State-of-The-Art and Future Prospective
L Sandjakoska, V Kumbaroska, P Taskov
Data-Driven Innovation. 9th International Conference, ICT Innovations 2017 …, 2017
2017
Cognitive computing within the evaluation process
D Liverić, J Vrzan, L Gjergjeska
20nd International Multiconference INFORMATION SOCIETY–IS 2017, 43-46, 2017
2017
Predictive modeling of robot movements in drug development
L Sandjakoska, AM Bogdanova, N Ackovska
2016 13th Symposium on Neural Networks and Applications (NEUREL), 1-5, 2016
2016
Intelligence approach in improving business processes
L Sandjakoska, DK Lozanoska
ON APPLIED INTERNET AND INFORMATION TECHNOLOGIES, 289, 2016
2016
Design optimization of power objects based on Constrained non-linear minimization, Genetic algorithms and Differential Evolution Algorithms
R Salkoski, L Gjergjeska
2014
Emilija Georgievska Ljubinka Sandjakoska Chandra Kishore Ninoslav Marina Joice Sophia Ponraj
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Articole 1–20