Autori: Savic Milos
Naslov | ASCAPE - An Intelligent Approach to Support Cancer Patients (Proceedings Paper) |
Autori | Ilic Mihailo Ivanovic Mirjana K ![]() ![]() ![]() |
Info | INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, WORLDCIST 2023, (2024), vol. 799 br. , str. 271-277 |
Projekat | EU [875351] |
Ispravka | Web of Science Članak |
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Naslov | Cost-sensitive tree SHAP for explaining cost-sensitive tree-based models (Article) |
Autori | Kopanja Marija Hacko Stefan ![]() ![]() ![]() |
Info | COMPUTATIONAL INTELLIGENCE, (2024), vol. 40 br. 3, str. - |
Projekat | Ministry of Education, Science and Technological Development of the Republic of Serbia |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Hub-aware random walk graph embedding methods for classification (Article) |
Autori | Tomcic Aleksandar ![]() ![]() ![]() |
Info | STATISTICAL ANALYSIS AND DATA MINING, (2024), vol. 17 br. 2, str. - |
Projekat | Science Fund of the Republic of Serbia; [6518241]; [7462] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Hub-aware random walk graph embedding methods for classification (Article) |
Autori | Tomcic Aleksandar ![]() ![]() ![]() |
Info | STATISTICAL ANALYSIS AND DATA MINING, (2024), vol. 17 br. 2, str. - |
Projekat | Science Fund of the Republic of Serbia; [6518241]; [7462] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Local intrinsic dimensionality measures for graphs, with applications to graph embeddings (Article) |
Autori | Savic Milos ![]() ![]() ![]() |
Info | INFORMATION SYSTEMS, (2023), vol. 119 br. , str. - |
Projekat | Science Fund of the Republic of Serbia [6518241] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
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Naslov | The Application of Machine Learning Techniques in Prediction of Quality of Life Features for Cancer Patients (Article) |
Autori | Savic Milos ![]() ![]() ![]() |
Info | COMPUTER SCIENCE AND INFORMATION SYSTEMS, (2023), vol. 20 br. 1, str. 381-404 |
Projekat | ASCAPE project; European Union's Horizon 2020 research and innovation programme [875351] |
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 ![]() ![]() |
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 | Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration (Proceedings Paper) |
Autori | Vukobratovic Dejan Lukic Milan ![]() ![]() ![]() ![]() |
Info | 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 707-711 |
Projekat | European Commission [856967, 833828, 871518] |
Ispravka | Web of Science |
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Naslov | Evaluation of LID-Aware Graph Embedding Methods for Node Clustering (Proceedings Paper) |
Autori | Knezevic Dusica ![]() ![]() ![]() |
Info | SIMILARITY SEARCH AND APPLICATIONS (SISAP 2022), (2022), vol. 13590 br. , str. 222-233 |
Projekat | Science Fund of the Republic of Serbia [6518241] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science |
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Naslov | Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method (Article) |
Autori | Savic Milos ![]() |
Info | EXPERT SYSTEMS WITH APPLICATIONS, (2022), vol. 193 br. , str. - |
Projekat | Ministry of Education, Science and Technological Development and Tax Administration of the Republic of Serbia; Ministry of Education, Science and Technological Development |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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