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Autori: Stoean Catalin

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Naslov Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display (Article)
Autori Stoean Ruxandra Bacanin Nebojsa  Stoean Catalin Ionescu Leonard 
Info JOURNAL OF CULTURAL HERITAGE, (2024), vol. 69 br. , str. 18-26
Projekat Romanian Ministry of Research and Innovation , CCCDI-UEFISCDI , within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics (Article)
Autori Bacanin Nebojsa  Jovanovic Luka Z  Stoean Ruxandra Stoean Catalin Zivkovic Miodrag Z  Antonijevic Milos  Dobrojevic Milos  
Info AXIOMS, (2024), vol. 13 br. 5, str. -
Projekat Science Fund of the Republic of Serbia
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets (Article; Early Access)
Autori Bacanin Nebojsa  Stoean Catalin Markovic Dusan Zivkovic Miodrag Z  Rashid Tarik A Chhabra Amit Sarac Marko 
Info MULTIMEDIA TOOLS AND APPLICATIONS, (2024), vol. br. , str. -
Projekat Romanian Ministry of Research and Innovation
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati:
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Naslov Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation (Proceedings Paper)
Autori Stoean Catalin Bacanin Nebojsa  Stoean Ruxandra Ionescu Leonard Garau Alina Maria Ghitescu Cristina Camelia 
Info 2023 25TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC 2023, (2023), vol. br. , str. 266-273
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI, within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
Ispravka Web of Science   Članak  
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Naslov Solar flare classification using modified metaheuristic optimized XGBoost (Proceedings Paper)
Autori Radomirovic Branislav Jovanovic Luka Z  Stoean Catalin Zivkovic Miodrag Z  Njegus Angelina Bacanin Nebojsa  
Info 2023 25TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC 2023, (2023), vol. br. , str. 287-292
Ispravka Web of Science   Članak  
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Naslov Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs (Proceedings Paper)
Autori Stoean Catalin Bacanin Nebojsa  Volkovich Zeev Ionescu Leonard Stoean Ruxandra 
Info ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT II, (2023), vol. 14135 br. , str. 479-490
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
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Naslov Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts (Proceedings Paper)
Autori Stoean Ruxandra Garcia Baez Patricio Suarez Araujo Carmen Paz Bacanin Nebojsa  Atencia Miguel Stoean Catalin 
Info ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT II, (2023), vol. 14135 br. , str. 467-478
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI within PNCDI III [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]
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Naslov Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data (Article)
Autori Minic Ana  Jovanovic Luka Z  Bacanin Nebojsa  Stoean Catalin Zivkovic Miodrag Z  Spalevic Petar C  Petrovic Aleksandar  Dobrojevic Milos  Stoean Ruxandra 
Info SENSORS, (2023), vol. 23 br. 24, str. -
Projekat COST (European Cooperation in Science and Technology)
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Naslov Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning (Article)
Autori Stoean Ruxandra Bacanin Nebojsa  Stoean Catalin Ionescu Leonard Atencia Miguel Joya Gonzalo 
Info JOURNAL OF CULTURAL HERITAGE, (2023), vol. 64 br. , str. 198-206
Projekat Romanian Ministry of Research and Innovation [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]; Object PErception and Reconstruction with deep neural Architectures ( OPERA ), within PNCDI III
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Naslov IoT Integrated Edge Platform for Secure Industrial Application with Deep Learning (Article)
Autori Saravana-Balaji B Paja Wieslaw Antonijevic Milos  Stoean Catalin Bacanin Nebojsa  Zivkovic Miodrag Z  
Info HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, (2023), vol. 13 br. , str. -
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