Time, Space, and Motion in Braid: A Cognitive Semantic Approach to a Video Game. - Dusan Stamenkovic; Milan Jacevic (Games Cult., 2015)

Individual Differences in Both Fluid and Crystalized Intelligence Predict Metaphor Comprehension. - Dusan Stamenkovic; Keith J. Holyoak (CogSci, 2018)

Multi-DisNet: Machine Learning-Based Object Distance Estimation from Multiple Cameras. - Muhammad Abdul Haseeb; Danijela Ristic-Durrant; Axel Gräser; Milan Banic; Dusan Stamenkovic (ICVS, 2019)

Artificial Intelligence for Obstacle Detection in Railways: Project SMART and Beyond. - Danijela Ristic-Durrant; Muhammad Abdul Haseeb; Marten Franke; Milan Banic; Milos Simonovic; Dusan Stamenkovic (EDCC Workshops, 2020)

Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. - Andreas Alexopoulos; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Spiros Fotis; Gianmarco Genchi; Sotiris Ioannidis; Dusan Jakovetic; et al. (Technologies and Applications for Big Data Value, 2022)

BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. - Nemanja Milosevic; Dusan Jakovetic; Srdjan Skrbic; Milos Savic 001; Dusan Stamenkovic; Julien-Etienne Mascolo; Davide Masera (EUSIPCO, 2022)

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. - Dusan Stamenkovic; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Kleomenis Katevas (WSDM, 2022)

Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. - 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; et al. (IEEE Access, 2022)

Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors. - Nicholas Ichien; Dusan Stamenkovic; Keith J. Holyoak (CoRR, 2023)

Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. - Dusan Jakovetic; Dragana Bajovic; Anit Kumar Sahu; Soummya Kar; Nemanja Milosevic; Dusan Stamenkovic (SIAM J. Optim., 2023)