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ORCIDAndreja Naumoski
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2020 – today
- 2023
[c31]Georgina Mirceva, Andreja Naumoski, Andrea Kulakov:
Examination of Different Representations of Proteins Using Protein Ray-based Descriptor and Deep Learning Models. MIPRO 2023: 429-434- [c30]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Exploring the Relationship between Indoor Playrooms and Population in Skopje. MIPRO 2023: 1270-1274 - 2022
- [j3]Kosta Mitreski, Georgina Mirceva, Andreja Naumoski:
Webber t-norm and its influence on QuickRules and VQRules fuzzy-rough rule induction algorithms. Int. J. Data Anal. Tech. Strateg. 14(4) (2022) - [j2]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Webber t-norm and its influence on QuickRules and VQRules fuzzy-rough rule induction algorithms. Int. J. Data Anal. Tech. Strateg. 14(4) (2022) - [c29]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Implication of Hamacher T-norm on Two Fuzzy- Rough Rule Induction Algorithms. MIPRO 2022: 287-292 - [c28]Georgina Mirceva, Andreja Naumoski, Andrea Kulakov:
Classification of Protein Structures Using Deep Learning Models. MIPRO 2022: 991-996 - [c27]N. Netkovska, Georgina Mirceva, Andreja Naumoski:
Spatial Relationship between Schools Population and Book Related Services in Skopje. MIPRO 2022: 997-1001 - [c26]Damjan Jovanovski, Elena Mitreska Jovanovska, Katja Popovska, Andreja Naumoski:
Application of Machine Learning in Predicting the Impact of Air Pollution on Bacterial Flora. SAI (1) 2022: 670-680 - 2021
- [c25]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Novel T-norm for Fuzzy-Rough Rule Induction Algorithm and Its Influence. ICT Innovations 2021: 115-125 - [c24]E. Stefanovska, Angela Kralevska, A. Abazi, Andreja Naumoski:
A GIS Based Approach for Finding Association between Air Pollution, Factories and Population Density in North Macedonia. MIPRO 2021: 1103-1107 - [c23]F. Bozinovski, E. Simikj, Andreja Naumoski:
Hospitals and Pharmacy Relationship between Rating, Service Time and Closeness in the City of Skopje. MIPRO 2021: 1108-1113 - 2020
- [c22]N. Stojanova, R. Vignjevikj, Andreja Naumoski:
GIS analysis of basketball courts and healthy stores relationship for young population in the city of Sкopje. MIPRO 2020: 1075-1079 - [c21]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Evaluation of diatoms biodiversity models by applying different discretization on the class attribute. MIPRO 2020: 1114-1119 - [c20]Georgina Mirceva, Andreja Naumoski, Andrea Kulakov:
Classifying Protein Structures by Using Protein Ray Based Descriptor, KNN and FuzzyKNN Classification Methods. MIPRO 2020: 1120-1124
2010 – 2019
- 2019
- [c19]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Diatom Ecological Modelling with Weighted Pattern Tree Algorithm by Using Polygonal and Gaussian Membership Functions. ICT Innovations 2019: 83-95 - [c18]Georgina Mirceva, Ilinka Ivanoska, Andreja Naumoski, Andrea Kulakov:
Feature Selection for Improved Classification of Protein Structures. MIPRO 2019: 1013-1018 - [c17]Andreja Naumoski, Ilinka Ivanoska, Georgina Mirceva:
Analysing the Influence of Two Similarity Metrics on the Ant Colony Optimisation Based Fuzzy-Rough Feature Selection Algorithm. MIPRO 2019: 1019-1024 - 2018
- [c16]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Experimental Evaluation of Different Membership Functions on Weighted Pattern Trees for Diatom Modelling. ICNC-FSKD 2018: 616-623 - [c15]Andreja Naumoski, Georgina Mirceva, Kire Trivodaliev, Kosta Mitreski:
Learning diatom ecological models with fuzzy order data mining algorithm. MIPRO 2018: 1059-1063 - 2017
- [c14]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Influence of Algebraic T-norm on Different Indiscernibility Relationships in Fuzzy-Rough Rule Induction Algorithms. ICT Innovations 2017: 120-129 - 2016
- [c13]Andreja Naumoski, Georgina Mirceva, Petre Lameski:
Influence of Fuzzy Tolerance Metrics on Classification and Regression Tasks for Fuzzy-Rough Nearest Neighbour Algorithms. ICT Innovations 2016: 113-122 - 2015
- [c12]Darko Georgievski, Kosta Mitreski, Andreja Naumoski, Danco Davcev:
GIS Flood Prediction Models of "Kriva Reka" River. ICT Innovations 2015: 59-67 - 2012
- [j1]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
A novel fuzzy based approach simple sequentially rejective multiple for inducing diatom habitat models and discovering diatom indicating properties. Ecol. Informatics 7(1): 62-70 (2012) - [c11]Andreja Naumoski, Kosta Mitreski:
Diatom Indicating Property Discovery with Rule Induction Algorithm. ICT Innovations 2012: 225-234 - 2011
- [c10]Georgina Mirceva, Andreja Naumoski, Viktorija Stojkovik, Damjan Temelkovski
, Danco Davcev:
Method for Protein Active Sites Detection Based on Fuzzy Decision Trees. FGIT-DTA/BSBT 2011: 143-150 - [c9]Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Fuzzy models with GIS for water quality diatom-indicator classification. FSKD 2011: 829-833 - [c8]Georgina Mirceva, Andreja Naumoski, Danco Davcev:
A Novel Fuzzy Decision Tree Based Method for Detecting Protein Active Sites. ICT Innovations 2011: 51-60 - [c7]Andreja Naumoski, Svetislav Krstic, Kosta Mitreski:
Novel Inverse Sigmoid Fuzzy Approach for Water Quality Diatom Classification. ICT Innovations 2011: 207-217 - [c6]Andreja Naumoski, Kosta Mitreski:
Diatoms Classification with Weighted Averaging Fuzzy Operators for Eutrophication Prevention. ITEE 2011: 49-59 - 2010
- [c5]Andreja Naumoski, Kosta Mitreski:
Diatom Classification with Novel Bell Based Classification Algorithm. ICT Innovations 2010: 245-254 - [c4]Georgina Mirceva, Andreja Naumoski, Danco Davcev:
A Protein Classifier Based on SVM by Using the Voxel Based Descriptor. RSCTC 2010: 640-648
2000 – 2009
- 2009
- [c3]Andreja Naumoski, Kosta Mitreski:
Rule Inducted Models for Classifying Water Quality Using Diatoms as Bio-indicators. ICECS 2009: 71-75 - [c2]Andreja Naumoski, Kosta Mitreski:
Rule Induction of Physical-Chemical Water Property from Diatoms Community. ICT Innovations 2009: 207-216 - [c1]Andreja Naumoski, Dragi Kocev, Natasa Atanasova, Kosta Mitreski, Svetislav Krstic, Saso Dzeroski:
Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries. ITEE 2009: 264-277
Coauthor Index
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