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Autori: Stamenkovic Dusan

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Naslov Can reading habits affect metaphor evaluation? Exploring key relations (Article)
Autori Janic-Mitic Aleksandra  Mitic Ivana Z  Stamenkovic Dusan 
Info OPEN LINGUISTICS, (2025), vol. 11 br. 1, str. -
Projekat Science Fund of the Republic of Serbia, Structuring Concept Generation with the Help of Metaphor, Analogy and Schematicity-SCHEMAS [7715934]; Ministry of Science, Technological Development and Innovations of the Republic of Serbia [451-03-137/2025-03/200165]; Soedertoern University, Stockholm
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science  
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Naslov Relating metaphor syntax to metaphor features: An empirical approach (Article)
Autori Mitic Ivana Z  Janic-Mitic Aleksandra  Stamenkovic Dusan 
Info COGENT ARTS & HUMANITIES, (2025), vol. 12 br. 1, str. -
Projekat Science Fund of the Republic of Serbia, Structuring Concept Generation with the Help of Metaphor, Analogy and Schematicity-SCHEMAS [7715934]; Ministry of Science, Technological Development and Innovations of the Republic of Serbia [451-03-137/2025-03/200165]; Sodertorn University, Stockholm
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science  
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Naslov Nonlinear Gradient Mappings and Stochastic Optimization: a General Framework with Applications to Heavy-Tail Noise (Article)
Autori Jakovetic Dusan Bajovic Dragana  Sahu Anit Kumar Kar Soummya Milosevic Nemanja Stamenkovic Dusan 
Info SIAM JOURNAL ON OPTIMIZATION, (2023), vol. 33 br. 2, str. 394-423
Projekat European Union [957337]
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems (Proceedings Paper)
Autori Milosevic Nemanja  Jakovetic Dusan Skrbic Srdjan M Savic Milos  Stamenkovic Dusan Mascolo J Masera D 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 1097-1101
Projekat European Union [833828]
Ispravka Web of Science  
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Naslov Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning (Proceedings Paper)
Autori Stamenkovic Dusan Karatzoglou Alexandros Arapakis Ioannis Xin Xin Katevas Kleomenis 
Info WSDM'22: PROCEEDINGS OF THE FIFTEENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, (2022), vol. br. , str. 957-965
Projekat Natural Science Foundation of China [62072279]; National Key R&D Program of China [2020YFB1406704]; Fundamental Research Funds of Shandong University
Ispravka Web of Science   Članak   Citati: Web of Science   Scopus  
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