Nevena Ranković
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View article: Graph based transfer learning with orthogonal tunning for functionality size insights
Graph based transfer learning with orthogonal tunning for functionality size insights Open
Function Point Analysis (FPA) is a method in software engineering that focuses on identifying the functions provided by a software system to users, such as data input, processing, output, and database management. These functions are classi…
View article: Innovations in early detection of chronic non-communicable diseases among adolescents through an easy-to-Use AutoML paradigm
Innovations in early detection of chronic non-communicable diseases among adolescents through an easy-to-Use AutoML paradigm Open
In this research, we present an interpretable AutoML approach for the early diagnosis of hypertension and hyperinsulinemia among adolescents, conditions that are critical to identify during these formative years due to their requirement fo…
View article: Labeling issues through semantic patterns in open-source Agile practices
Labeling issues through semantic patterns in open-source Agile practices Open
View article: Knowing our choices: unveiling true voting patterns through machine learning (ML) and natural language processing (NLP) in European Parliament
Knowing our choices: unveiling true voting patterns through machine learning (ML) and natural language processing (NLP) in European Parliament Open
Anticipating the diverse voting behavior of European Parliament Members (MEPs) is complex due to their diverse backgrounds, affiliations, countries, and ideological stances. These factors result in varied preferences, posing a substantial …
View article: Simple integrated circuit reverse-engineering with deep learning: A proof of concept for automating die-polygon-capturing
Simple integrated circuit reverse-engineering with deep learning: A proof of concept for automating die-polygon-capturing Open
View article: Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia
Socioeconomic inequality as a predictor of unmet health needs in the older adult population of Serbia Open
Objectives The aim of this paper is to assess the relationship between demographic and socioeconomic predictors and the unmet health needs of the older adult population in Serbia. Materials and methods The study is part of the Population H…
View article: Interpretable software estimation with graph neural networks and orthogonal array tunning method
Interpretable software estimation with graph neural networks and orthogonal array tunning method Open
View article: Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition
Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition Open
The retail industry encounters huge obstacles with computer vision (CV) technology due to frequent model retraining with changing products and time-consuming, costly data annotation. Previous research in this field has been primarily focus…
View article: Explainable data mining model for hyperinsulinemia diagnostics
Explainable data mining model for hyperinsulinemia diagnostics Open
In our research, we present a data mining model for the early diagnosis of hyperinsulinemia, potentially reducing the risk of diabetes, heart disease, and other chronic conditions. The dataset, gathered from 2019 to 2022 by Serbia's Health…
View article: Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises
Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises Open
Meeting customer requirements in software project management, even for large digital enterprises, proves challenging due to unpredictable human factors. It involves meticulous planning and environmental factor analysis, ultimately benefiti…
View article: Diagnostic role and prognostic impact of positron emission tomography/computed tomography in patients treated for uterine corpus cancer
Diagnostic role and prognostic impact of positron emission tomography/computed tomography in patients treated for uterine corpus cancer Open
Introduction/Objective. The goal of our research was to evaluate diagnostic and prognostic role of positron emission tomography/computed tomography (PET-CT) in patients previously treated for uterine cancer and compare it to conventional i…
View article: Recent Advances in Artificial Intelligence in Cost Estimation in Project Management
Recent Advances in Artificial Intelligence in Cost Estimation in Project Management Open
View article: Ensemble model for predicting chronic non-communicable diseases using Latin square extraction and fuzzy-artificial neural networks from 2013 to 2019
Ensemble model for predicting chronic non-communicable diseases using Latin square extraction and fuzzy-artificial neural networks from 2013 to 2019 Open
View article: On the interpretability of Fuzzy Cognitive Maps
On the interpretability of Fuzzy Cognitive Maps Open
This paper proposes a post-hoc explanation method for computing concept attribution in Fuzzy Cognitive Map (FCM) models used for scenario analysis, based on SHapley Additive exPlanations (SHAP) values. The proposal is inspired by the lack …
View article: Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market
Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market Open
The increasing popularity of online job vacancies and machine learning methods has raised questions about their combination to enhance our understanding of labour markets and algorithms. However, the lack of comparable studies necessitates…
View article: Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks
Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks Open
In previous years, significant attempts have been made to enhance computer-aided diagnosis and prediction applications. This paper presents the results obtained using different machine learning (ML) algorithms and a special type of a neura…
View article: Innovation in Hyperinsulinemia Diagnostics with ANN-L(atin square) Models
Innovation in Hyperinsulinemia Diagnostics with ANN-L(atin square) Models Open
Hyperinsulinemia is a condition characterized by excessively high levels of insulin in the bloodstream. It can exist for many years without any symptomatology. The research presented in this paper was conducted from 2019 to 2022 in coopera…
View article: FDG PET-CT as an important diagnostic tool and prognostic marker in suspected recurrent cervical carcinoma after radiotherapy: comparison with MRI
FDG PET-CT as an important diagnostic tool and prognostic marker in suspected recurrent cervical carcinoma after radiotherapy: comparison with MRI Open
Background Recurrent disease in post-irradiation patients with cervical cancer is often difficult to delineate on magnetic resonance imaging (MRI), because posttreatment changes can have a similar appearance, and further evaluation is ofte…
View article: 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
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 Open
Hyperinsulinemia is a condition with extremely high levels of insulin in the blood. Various factors can lead to hyperinsulinemia in children and adolescents. Puberty is a period of significant change in children and adolescents. They do no…
View article: The Generalization of Selection of an Appropriate Artificial Neural Network to Assess the Effort and Costs of Software Projects
The Generalization of Selection of an Appropriate Artificial Neural Network to Assess the Effort and Costs of Software Projects Open
View article: Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents
Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents Open
Background and Objectives: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not necessarily have hyperinsulinemia. It is considered a condition of…
View article: COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays
COSMIC FP method in software development estimation using artificial neural networks based on orthogonal arrays Open
This paper proposes a new, improved COmmon Software Measurement International Consortium function point (COSMIC FP) method that uses Artificial Neural Network (ANN) architectures based on Taguchi’s Orthogonal Array to estimate software dev…
View article: A Novel UCP Model Based on Artificial Neural Networks and Orthogonal Arrays
A Novel UCP Model Based on Artificial Neural Networks and Orthogonal Arrays Open
Adequate estimation is a crucial factor for the implementation of software projects within set customer requirements. The use of Case Point Analysis (UCP) is the latest and most accurate method for estimating the effort and cost of realizi…
View article: Artificial Neural Network Architecture and Orthogonal Arrays in Estimation of Software Projects Efforts
Artificial Neural Network Architecture and Orthogonal Arrays in Estimation of Software Projects Efforts Open
Accurate assessment of software project development using the proper artificial intelligence tools can be a significant challenge for success in the software industry. This paper aims to minimize the relative error in software estimation u…
View article: Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions
Improved Effort and Cost Estimation Model Using Artificial Neural Networks and Taguchi Method with Different Activation Functions Open
Software estimation involves meeting a huge number of different requirements, such as resource allocation, cost estimation, effort estimation, time estimation, and the changing demands of software product customers. Numerous estimation mod…
View article: Convergence rate of Artificial Neural Networks for estimation in software development projects
Convergence rate of Artificial Neural Networks for estimation in software development projects Open
Context: Nowadays, companies are investing in brand new software, given that fact they always need help with estimating software development, effort, costs, and the period of time needed for completing the software itself. In this paper, f…
View article: Internet Addiction among Secondary School Students Conditioned By Gender and Age
Internet Addiction among Secondary School Students Conditioned By Gender and Age Open
Modern forms of addiction are present very much in adolescents today. Internet dependency is a form of addiction that manifests itself as an individual's state of affairs. The use of the Internet has become the most important activity in l…
View article: Risk assessment for diabetes type 2 conditions for nature in nutrition in adolescents
Risk assessment for diabetes type 2 conditions for nature in nutrition in adolescents Open
This paper will present the results of a study on dietary habits in adolescents. The high school or adolescent era is a time of great physical and psychological changes, which cause instability and oscillations in the mood and behavior of …
View article: A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays
A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays Open
In this article, two different architectures of Artificial Neural Networks (ANN) are proposed as an efficient tool for predicting and estimating software effort. Artificial Neural Networks, as a branch of machine learning, are used in esti…
View article: Risk assessment for diabetes type 2 conditions for nature in nutrition in adolescents
Risk assessment for diabetes type 2 conditions for nature in nutrition in adolescents Open
This paper will present the results of a study on dietary habits in adolescents. The high school or adolescent era is a time of great physical and psychological changes, which cause instability and oscillations in the mood and behavior of …