| 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 | 11 | 2015 |
| 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 | 9 | 2020 |
| Goals of cognitonics in formal ICT education I Panev, I Pogarcic, L Gjergjeska, VA Fomichov, OS Fomichova Informacijska druzba-IS, 61-65, 2017 | 7 | 2017 |
| 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 | 5 | 2016 |
| Deep Learning: The future of chemoinformatics and drug development L Sandjakoska, AM Bogdanova Procidings of 15th International Conference on Informatics and Information …, 2018 | 3 | 2018 |
| 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 | 1 | 2022 |
| 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 | 1 | 2020 |
| 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 EFSOFO LAKE | | |
Elena HadzievaUniversity of Information Science and Technology "St. Paul the Apostole" - Ohrid, MacedoniaDirección de correo verificada de uist.edu.mk
