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Genetic algorithm-based heuristic for feature selection in credit risk assessment

Expert systems with applications, 2014-03, Vol.41 (4), p.2052-2064

2014

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YOLOC — Adding context improves YOLO performance

Neurocomputing (Amsterdam), 2023-10, Vol.555, p.126655, Article 126655

Oreski, Goran

2023

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Using a Monocular Camera for 360∘ Dynamic Object Instance Segmentation in Traffic

Engineering proceedings, 2023-07, Vol.41 (1), p.6

2023

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Synthesizing credit data using autoencoders and generative adversarial networks

Knowledge-based systems, 2023-08, Vol.274, p.110646, Article 110646

Oreski, Goran

2023

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Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment

Expert systems with applications, 2012-11, Vol.39 (16), p.12605-12617

2012

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Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

Journal of information and organizational sciences, 2015-01, Vol.39 (2), p.209-222

2015

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Performance comparison of novel object detection models on traffic data

Proceedings of the 2023 8th International Conference on Machine Learning Technologies, 2023, p.177-184

2023

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Driving Habits and the Need for Fatigue and Attention Monitoring Devices: Insights from Croatian Drivers

2024 47th MIPRO ICT and Electronics Convention (MIPRO), 2024, p.1427-1432

2024

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Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

Journal of information and organizational sciences, 2015-12, Vol.39 (2), p.29

2015

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Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

Journal of Information and Organizational Sciences, 2015-12, Vol.39 (2), p.209

2015

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Explaining and Predicting Students' and Teachers' Intentions to reuse Digital Educational Resources

Journal of Communications Software and Systems, 2024, Vol.20 (2), p.157-164

2024

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Assessment and Comparison of Meta-features for Educational Chatbots Data and Survey Data

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION, 2022-03, Vol.19, p.22-29

2022

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A Comparative Study of Machine Learning Approaches on Learning Management System Data

2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), 2019, p.136-141

2019

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Identifying Clusters of Primary and Secondary School Teachers According to Their Educational Digital Content Perceptions

2021 IEEE Technology & Engineering Management Conference - Europe (TEMSCON-EUR), 2021, p.1-6

2021

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What Do Students Think About Learning Supported by e-Schools Digital Educational Resources?

Learning and Collaboration Technologies, p.274-291

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Genetic algorithm-based heuristic for feature selection in credit risk assessment

YOLOC — Adding context improves YOLO performance

Using a Monocular Camera for 360∘ Dynamic Object Instance Segmentation in Traffic

Synthesizing credit data using autoencoders and generative adversarial networks

Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment

Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

Performance comparison of novel object detection models on traffic data

Driving Habits and the Need for Fatigue and Attention Monitoring Devices: Insights from Croatian Drivers

Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets

Explaining and Predicting Students' and Teachers' Intentions to reuse Digital Educational Resources

Assessment and Comparison of Meta-features for Educational Chatbots Data and Survey Data

A Comparative Study of Machine Learning Approaches on Learning Management System Data

Identifying Clusters of Primary and Secondary School Teachers According to Their Educational Digital Content Perceptions

What Do Students Think About Learning Supported by e-Schools Digital Educational Resources?

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