A software tool that helps teachers in handling, processing and understanding the results of massive exams. - Marko Misic; Marko Lazic; Jelica Protic (BCI, 2012)

Evolution and trends in GPU computing. - Marko Misic; Dorde M. Durdevic; Milo Tomasevic (MIPRO, 2012)

Transition from traditional to LMS supported examining: A case study in computer engineering. - Drazen Draskovic; Marko Misic; Zarko Stanisavljevic (Comput. Appl. Eng. Educ., 2016)

Chapter One - A New Course on R&D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned. - Veljko Milutinovic; Stasa Vujicic Stankovic; Aleksandar Jovic; Drazen Draskovic; Marko Misic; Danilo Furundzic (Adv. Comput., 2017)

Comparison of parallel central processing unit- and graphics processing unit-based implementations of greedy string tiling algorithm for source code plagiarism detection. - Marko Misic; Milo Tomasevic (Concurr. Comput. Pract. Exp., 2022)

Improving performance of background subtraction on mobile devices: a parallel approach. - Marko Misic; Petar Kovacev; Milo Tomasevic (J. Real Time Image Process., 2022)

Leaf counting in the presence of occlusion in Arabidopsis thaliana plant using convolutional neural networks. - Zorana Staka; Marko Misic (J. Electronic Imaging, 2023)

Exploring high scientific productivity in international co-authorship of a small developing country based on collaboration patterns. - Irena Mitrovic; Marko Misic; Jelica Protic (J. Big Data, 2023)

Navigating Smart Order Routing in Fixed Income Trading with Linear Programming and Dijkstra's Algorithm. - Cassel Robson; Marko Misic; Erika Capper; Mila Cvetanovska; Majid Ghasemi; Fadi Alzhouri; Dariush Ebrahimi (DIS, 2024)

A novel approach to source code assembling in the field of algorithmic complexity. - Dordje Pesic; Milena Vujosevic-Janicic; Marko Misic; Jelica Protic (Comput. Sci. Inf. Syst., 2024)

An assessment of large language models for OpenMP-based code parallelization: a user perspective. - Marko Misic; Matija Dodovic (J. Big Data, 2024)

Fast Parallel CPU-GPU Approximate Spectral Clustering for Transcriptomics Data. - Stefan Brankovic; Lazar Smiljkovic; Predrag Obradovic; Milos Radonjiic; Marko Misic (Int. J. Parallel Program., 2025)