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ORCIDDusan Stamenkovic
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2020 – today
- 2023
[j3]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. 33(2): 394-423 (2023)- [i3]Nicholas Ichien, Dusan Stamenkovic, Keith J. Holyoak:
Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors. CoRR abs/2308.01497 (2023) - 2022
- [j2]George Bravos, Antonio J. Cabrera, Camilo Correa, Dragan Danilovic, Nikolaos Evangeliou, Gilad Ezov, Zoran Gajica, Dusan Jakovetic, Leonidas Kallipolitis, Milan Lukic, Julien-Etienne Mascolo, Davide Masera, Raúl Mazo, Ivan Mezei, Andreas I. Miaoudakis, Nemanja Milosevic, William Oliff, Jacques Robin, Michail Smyrlis, Georgia Sakellari, Giorgos Stamatis, Dusan Stamenkovic, Srdan Skrbic, Carine Souveyet, Spyridon Vantolas, Giorgos Vasiliadis, Dejan Vukobratovic:
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access 10: 124747-124765 (2022) - [c5]Nemanja Milosevic, Dusan Jakovetic, Srdjan Skrbic, Milos Savic, Dusan Stamenkovic, Julien-Etienne Mascolo, Davide Masera:
BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. EUSIPCO 2022: 1097-1101 - [c4]Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. WSDM 2022: 957-965 - [p1]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Spiros Fotis, Gianmarco Genchi, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Miquel Martínez, Julien-Etienne Mascolo, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giuseppe Danilo Spennacchio, Dusan Stamenkovic, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. Technologies and Applications for Big Data Value 2022: 321-344 - [i2]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR abs/2204.02593 (2022) - 2021
- [i1]Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. CoRR abs/2110.15097 (2021) - 2020
- [c3]Danijela Ristic-Durrant, Muhammad Abdul Haseeb, Marten Franke, Milan Banic, Milos Simonovic, Dusan Stamenkovic:
Artificial Intelligence for Obstacle Detection in Railways: Project SMART and Beyond. EDCC Workshops 2020: 44-55
2010 – 2019
- 2019
- [c2]Muhammad Abdul Haseeb, Danijela Ristic-Durrant, Axel Gräser, Milan Banic, Dusan Stamenkovic:
Multi-DisNet: Machine Learning-Based Object Distance Estimation from Multiple Cameras. ICVS 2019: 457-469 - 2018
- [c1]Dusan Stamenkovic, Keith J. Holyoak:
Individual Differences in Both Fluid and Crystalized Intelligence Predict Metaphor Comprehension. CogSci 2018 - 2015
- [j1]Dusan Stamenkovic, Milan Jacevic:
Time, Space, and Motion in Braid: A Cognitive Semantic Approach to a Video Game. Games Cult. 10(2): 178-203 (2015)
Coauthor Index
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