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Autori: Savic Milos

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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 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  
Naslov Local Intrinsic Dimensionality and Graphs: Towards LID-aware Graph Embedding Algorithms (Proceedings Paper)
Autori Savic Milos  Kurbalija Vladimir M  Radovanovic Milos M 
Info SIMILARITY SEARCH AND APPLICATIONS, SISAP 2021, (2021), vol. 13058 br. , str. 159-172
Projekat Science Fund of Republic of Serbia [6518241]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics (Article)
Autori Savic Milos  Lukic Milan  Danilovic Dragan  Bodroski Zarko R  Bajovic Dragana  Mezei Ivan D  Vukobratovic Dejan  Skrbic Srdjan M  Jakovetic Dusan 
Info IEEE ACCESS, (2021), vol. 9 br. , str. 59406-59419
Projekat European Commission's Horizon 2020 Research and Innovation Programme [833828]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Students' Preferences in Selection of Computer Science and Informatics Studies - A Comprehensive Empirical Case Study (Article)
Autori Savic Milos  Ivanovic Mirjana K  Lukovic Ivan S  Delibasic Boris  Protic Jelica Z  Jankovic Dragan S 
Info COMPUTER SCIENCE AND INFORMATION SYSTEMS, (2021), vol. 18 br. 1, str. 251-283
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Sentiment prediction based on analysis of customers assessments in food serving businesses (Article)
Autori Geler Zoltan J  Savic Milos  Bratic Brankica  Kurbalija Vladimir M  Ivanovic Mirjana K  Dai Weihui 
Info CONNECTION SCIENCE, (2021), vol. 33 br. 3, str. 674-692
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov An Effective Approach to Outlier Detection Based on Centrality and Centre-Proximity (Article)
Autori Bae Duck-Ho  Jeong Seo  Hong Jiwon  Lee Minsoo  Ivanovic Mirjana K  Savic Milos  Kim Sang-Wook 
Info INFORMATICA, (2020), vol. 31 br. 3, str. 435-458
Projekat National Research Foundation of Korea (NRF) - Korean Ministry of Science and ICT (MSIT) [NRF-2020R1A2B5B030 01960]; Next-Generation Information Computing Development Program through the NRF - MSIT [NRF-2017M3C4A7069440, NRF2017M3C4A7083678]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
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