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Autori: Kovacevic Aleksandar D

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Naslov A framework for designing software engineering project-based learning experiences based on the 4 C/ID model (Article; Early Access)
Autori Luburic Nikola Slivka Jelena J Doric Luka Prokic Simona  Kovacevic Aleksandar D  
Info EDUCATION AND INFORMATION TECHNOLOGIES, (2024), vol. br. , str. -
Projekat Ministarstvo Prosvete, Nauke i Tehnoloscaron;kog Razvoja [451-03-65/2024-03/200156]; Ministry of Science, Technological Development and Innovation [01-3394/1]; Faculty of Technical Sciences, University of Novi Sad through project "Scientific and Artistic Research Work of Researchers
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Naslov Prescriptive procedure for manual code smell annotation (Article)
Autori Prokic Simona  Luburic Nikola Slivka Jelena J Kovacevic Aleksandar D  
Info SCIENCE OF COMPUTER PROGRAMMING, (2024), vol. 238 br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]; Ministry of Science, Technological Development and Innovation [451-03-65/2024-03/200156]; Faculty of Technical Sciences, University of Novi Sad [01-3394/1]
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Naslov De-identification of clinical free text using natural language processing: A systematic review of current approaches (Review)
Autori Kovacevic Aleksandar D  Basaragin Bojana P Milosevic Nikola  Nenadic Goran 
Info ARTIFICIAL INTELLIGENCE IN MEDICINE, (2024), vol. 151 br. , str. -
Projekat Engineering and Physical Sciences Research Council [EP/N027280/1]; Innovative scientific and artistic research from the FTS (activity) domain [451-03-47/2023-01/200156]
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Naslov Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C# (Article; Early Access)
Autori Kovacevic Aleksandar D  Luburic Nikola Slivka Jelena J Prokic Simona  Grujic Katarina-Glorija Vidakovic Dragan Sladic Goran S  
Info NEURAL COMPUTING & APPLICATIONS, (2024), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia; Ministry of Science, Technological Development and Innovation [451-03-47/2023-01/200156]; [6521051]
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Naslov Automatic detection of Feature Envy and Data Class code smells using machine learning (Article)
Autori Skipina Milica G Slivka Jelena J Luburic Nikola Kovacevic Aleksandar D  
Info EXPERT SYSTEMS WITH APPLICATIONS, (2024), vol. 243 br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]; AI-Clean CaDET; Ministry of Science, Technological Development and Innovation [451-03-47/2023-01/200156]
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Naslov Towards a systematic approach to manual annotation of code smells (Article)
Autori Slivka Jelena J Luburic Nikola Prokic Simona  Grujic Katarina-Glorija Kovacevic Aleksandar D  Sladic Goran S  Vidakovic Dragan 
Info SCIENCE OF COMPUTER PROGRAMMING, (2023), vol. 230 br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]; AI-Clean CaDET; Ministry of Science, Technological Development and Innovation [451-03-47/2023-01/200156]
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Naslov Automatic detection of Long Method and God Class code smells through neural source code embeddings (Article)
Autori Kovacevic Aleksandar D  Slivka Jelena J Vidakovic Dragan Grujic Katarina-Glorija Luburic Nikola Prokic Simona  Sladic Goran S  
Info EXPERT SYSTEMS WITH APPLICATIONS, (2022), vol. 204 br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]
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Naslov Evaluation of clinical named entity recognition methods for Serbian electronic health records (Article)
Autori Kaplar Aleksandar Stosovic Milan D Kaplar Aleksandra Brkovic Voin  Naumovic Radomir T Kovacevic Aleksandar D  
Info INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, (2022), vol. 164 br. , str. -
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Naslov Opinion mining in higher education: a corpus-based approach (Article)
Autori Grljevic Olivera Bosnjak Zita Kovacevic Aleksandar D  
Info ENTERPRISE INFORMATION SYSTEMS, (2022), vol. 16 br. 5, str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [47003]
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Naslov Machine Learning Modeling of Wet Granulation Scale-up Using Particle Size Distribution Characterization Parameters (Article)
Autori Millen Nada Kovacevic Aleksandar D  Djuris Jelena D  Ibric Svetlana R  
Info JOURNAL OF PHARMACEUTICAL INNOVATION, (2020), vol. 15 br. 4, str. 535-546
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