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Autori: Savic Milos

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Naslov Cost-sensitive tree SHAP for explaining cost-sensitive tree-based models (Article)
Autori Kopanja Marija  Hacko Stefan  Brdar Sanja  Savic Milos 
Info COMPUTATIONAL INTELLIGENCE, (2024), vol. 40 br. 3, str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Hub-aware random walk graph embedding methods for classification (Article)
Autori Tomcic Aleksandar  Savic Milos  Radovanovic Milos M 
Info STATISTICAL ANALYSIS AND DATA MINING, (2024), vol. 17 br. 2, str. -
Projekat Science Fund of the Republic of Serbia; [6518241]; [7462]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Hub-aware random walk graph embedding methods for classification (Article)
Autori Tomcic Aleksandar  Savic Milos  Radovanovic Milos M 
Info STATISTICAL ANALYSIS AND DATA MINING, (2024), vol. 17 br. 2, str. -
Projekat Science Fund of the Republic of Serbia; [6518241]; [7462]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Local intrinsic dimensionality measures for graphs, with applications to graph embeddings (Article)
Autori Savic Milos  Kurbalija Vladimir M  Radovanovic Milos M 
Info INFORMATION SYSTEMS, (2023), vol. 119 br. , str. -
Projekat Science Fund of the Republic of Serbia [6518241]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov The Application of Machine Learning Techniques in Prediction of Quality of Life Features for Cancer Patients (Article)
Autori Savic Milos  Kurbalija Vladimir M  Ilic Mihailo  Ivanovic Mirjana K  Jakovetic Dusan  Valachis Antonios  Autexier Serge  Rust Johannes  Kosmidis Thanos 
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 ISI/Web of Science   Članak   Elečas   Rang časopisa  
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 ISI/Web of Science  
Naslov Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration (Proceedings Paper)
Autori Vukobratovic Dejan  Lukic Milan  Mezei Ivan D  Bajovic Dragana  Danilovic Dragan  Savic Milos  Bodroski Zarko R  Skrbic Srdjan M  Jakovetic Dusan 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 707-711
Projekat European Commission [856967, 833828, 871518]
Ispravka ISI/Web of Science  
Naslov Evaluation of LID-Aware Graph Embedding Methods for Node Clustering (Proceedings Paper)
Autori Knezevic Dusica  Babic Jela  Savic Milos  Radovanovic Milos M 
Info SIMILARITY SEARCH AND APPLICATIONS (SISAP 2022), (2022), vol. 13590 br. , str. 222-233
Projekat Science Fund of the Republic of Serbia [6518241]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science  
Naslov Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method (Article)
Autori Savic Milos  Atanasijevic Jasna  Jakovetic Dusan  Krejic Natasa 
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 ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov ASCAPE: An open AI ecosystem to support the quality of life of cancer patients (Proceedings Paper)
Autori Lampropoulos Konstantinos  Kosmidis Thanos  Autexier Serge  Savic Milos  Athanatos Manos  Kokkonidis Miltiadis  Koutsouri Tzortzia  Vizitiu Anamaria  Valachis Antonios  Padron Miriam Quintero 
Info 2021 IEEE 9TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2021), (2021), vol. br. , str. 301-310
Projekat European Union [875351]
Ispravka ISI/Web of Science   Članak   Citati: ISI/Web of Science   Scopus  
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