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Autori: Stoean Ruxandra

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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]
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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
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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 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 Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation (Article)
Autori Stoean Catalin Zivkovic Miodrag Z  Bozovic Aleksandra  Bacanin Nebojsa  Strulak-Wojcikiewicz Roma Antonijevic Milos  Stoean Ruxandra 
Info AXIOMS, (2023), vol. 12 br. 3, str. -
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 On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting (Review)
Autori Bacanin Nebojsa  Stoean Catalin Zivkovic Miodrag Z  Rakic Miomir Strulak-Wojcikiewicz Roma Stoean Ruxandra 
Info ENERGIES, (2023), vol. 16 br. 3, str. -
Projekat Ministry of Education, Science and Technological Development of Republic of Serbia [III-44006]
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Naslov On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs (Proceedings Paper)
Autori Stoean Catalin Bacanin Nebojsa  Stoean Ruxandra Ionescu Leonard Alecsa Cristian Hotoleanu Mircea Atencia Miguel Joya Gonzalo 
Info 2022 24TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, SYNASC, (2022), vol. br. , str. 276-283
Projekat Romanian Ministry of Research and Innovation, CCCDI - UEFISCDI [178PCE/2021, PN-III-P4-ID-PCE-2020-0788]; "Plan Propio de la Universidad de Malaga" and "Integrated Engineering Systems group" [TIC-125]
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