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On the interpretability of Fuzzy Cognitive Maps

Knowledge-based systems, 2023-12, Vol.281, p.111078, Article 111078

2023

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Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises

Journal of theoretical and applied electronic commerce research, 2024-02, Vol.19 (1), p.381-395

2024

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A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays

IEEE access, 2021, Vol.9, p.26926-26936

2021

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Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions

Entropy (Basel, Switzerland), 2021-07, Vol.23 (7), p.854

2021

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Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market

Journal of theoretical and applied electronic commerce research, 2023-08, Vol.18 (3), p.1365-1403

2023

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A Novel UCP Model Based on Artificial Neural Networks and Orthogonal Arrays

Applied sciences, 2021-10, Vol.11 (19), p.8799

2021

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Innovation in Hyperinsulinemia Diagnostics with ANN-L( atin square ) Models

Diagnostics (Basel), 2023-02, Vol.13 (4), p.798

2023

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Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks

Journal of personalized medicine, 2023-06, Vol.13 (7), p.1032

2023

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Ensemble model for predicting chronic non-communicable diseases using Latin square extraction and fuzzy-artificial neural networks from 2013 to 2019

Heliyon, 2023-11, Vol.9 (11), p.e22561-e22561, Article e22561

2023

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Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents

Medicina (Kaunas, Lithuania), 2021-12, Vol.58 (1), p.9

2021

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A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm

Healthcare (Basel), 2022-05, Vol.10 (5), p.921

2022

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Diagnostic role and prognostic impact of positron emission tomography/computed tomography in patients treated for uterine corpus cancer

Srpski arhiv za celokupno lekarstvo, 2024-01, Vol.152 (3-4), p.168-174

2024

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FDG PET-CT as an important diagnostic tool and prognostic marker in suspected recurrent cervical carcinoma after radiotherapy: comparison with MRI

Radiology and oncology, 2022-12, Vol.56 (4), p.453-460

2022

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Hybrid imaging of vascular graft infection by positron emission tomography with computed tomography using fluorine-18-labeled fluorodeoxyglucose: The Serbian National PET Center experience

Srpski arhiv za celokupno lekarstvo, 2019-07, Vol.147 (7-8), p.405-409

2019

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Interpretable software estimation with graph neural networks and orthogonal array tunning method

Information processing & management, 2024-09, Vol.61 (5), p.103778, Article 103778

2024

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Explainable data mining model for hyperinsulinemia diagnostics

Connection science, 2024-12, Vol.36 (1)

2024

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Influence of input values on the prediction model error using artificial neural network based on Taguchi's orthogonal array

Concurrency and computation, 2022-09, Vol.34 (20), p.n/a

2022

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COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays

Connection science, 2022-12, Vol.34 (1), p.185-204

2022

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Convergence rate of Artificial Neural Networks for estimation in software development projects

Information and software technology, 2021-10, Vol.138, p.106627, Article 106627

2021

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Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia

Frontiers in public health, 2024-07, Vol.12, p.1373877

2024

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Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition

Journal of computational social science, 2024-04, Vol.7 (1), p.1039-1070

2024

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Power of LSTM and SHAP in the Use Case Point Approach for Software Effort and Cost Estimation

2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2024, p.000059-000064

2024

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Integration of "Business Intelligence" Course to Master Academic Studies in Informatics

Proceedings of the 20th International Conference on Computer Systems and Technologies, 2019, p.308-315

2019

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Female Students' Attitude Towards Studying Informatics and Expectations for Future Career - Balkan Case

Proceedings of the 9th Balkan Conference on Informatics, 2019, p.1-7

2019

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Interpretable Graph Hyperinsulinemia Detection Model with Orthogonal Array Optimization

2024 Prognostics and System Health Management Conference (PHM), 2024, p.50-58

2024

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On the interpretability of Fuzzy Cognitive Maps

Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises

A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays

Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions

Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market

A Novel UCP Model Based on Artificial Neural Networks and Orthogonal Arrays

Innovation in Hyperinsulinemia Diagnostics with ANN-L( atin square ) Models

Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks

Ensemble model for predicting chronic non-communicable diseases using Latin square extraction and fuzzy-artificial neural networks from 2013 to 2019

Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents

A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm

Diagnostic role and prognostic impact of positron emission tomography/computed tomography in patients treated for uterine corpus cancer

FDG PET-CT as an important diagnostic tool and prognostic marker in suspected recurrent cervical carcinoma after radiotherapy: comparison with MRI

Hybrid imaging of vascular graft infection by positron emission tomography with computed tomography using fluorine-18-labeled fluorodeoxyglucose: The Serbian National PET Center experience

Interpretable software estimation with graph neural networks and orthogonal array tunning method

Explainable data mining model for hyperinsulinemia diagnostics

Influence of input values on the prediction model error using artificial neural network based on Taguchi's orthogonal array

COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays

Convergence rate of Artificial Neural Networks for estimation in software development projects

Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia

Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition

Power of LSTM and SHAP in the Use Case Point Approach for Software Effort and Cost Estimation

Integration of "Business Intelligence" Course to Master Academic Studies in Informatics

Female Students' Attitude Towards Studying Informatics and Expectations for Future Career - Balkan Case

Interpretable Graph Hyperinsulinemia Detection Model with Orthogonal Array Optimization

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