Oskar Marko - RankMe

15 papers Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From time-series generation and model selection to transfer learning: A review and comparative analysis of pixel-wise approaches for large-scale crop mapping. Comput. Electron. Agric. Judy Long, Tao Liu, Sean A. Woznicki, Miljana Markovic, Oskar Marko, Molly Sears
2025	J	`jnl`	Agrobot Gari, a multimodal robotic solution for blueberry production automation. Comput. Electron. Agric. Damir Krkljes, Goran Kitic, Marko Panic, Csaba Petes, Vladan Filipovic, Dimitrije Stefanovic, Nikola Obrenovic, Maksim Lalic, Oskar Marko
2025	J	`jnl`	Best Practices for Large-Scale, Pixel-Wise Crop Mapping and Transfer Learning Workflows. CoRR Judy Long, Tao Liu, Sean A. Woznicki, Miljana Markovic, Oskar Marko, Molly Sears
2024	—	`conf`	Enhancing Machine Learning Crop Classification Models through SAM-Based Field Delineation Based on Satellite Imagery. Agro-Geoinformatics Vladimir Kovacevic, Branislav Pejak, Oskar Marko
2024	J	`jnl`	Interseasonal transfer learning for crop mapping using Sentinel-1 data. Int. J. Appl. Earth Obs. Geoinformation Milos Pandzic, Dejan Pavlovic, Predrag Matavulj, Sanja Brdar, Oskar Marko, Vladimir S. Crnojevic, Milan Kilibarda
2024	—	`conf`	Multi-annual crop maps reveal cropping patterns in the Vojvodina region (Serbia). Agro-Geoinformatics Branislav Zivaljevic, Miljana Markovic, Gordan Mimic, Oskar Marko, Sean A. Woznicki
2022	J	`jnl`	Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars. Sensors Dejan Pavlovic, Mikolaj Czerkawski, Christopher Davison, Oskar Marko, W. Craig Michie, Robert C. Atkinson, Vladimir S. Crnojevic, Ivan Andonovic, Vladimir Rajovic, Goran S. Kvascev, Christos Tachtatzis
2022	—	`conf`	Blueberry Row Detection Based on UAV Images for Inferring the Allowed UGV Path in the Field. ROBOT (2) Dimitrije Stefanovic, Aleksandar Antic, Marko Otlokan, Bojana Ivosevic, Oskar Marko, Vladimir S. Crnojevic, Marko Panic
2022	J	`jnl`	Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data. Remote. Sens. Branislav Pejak, Predrag Lugonja, Aleksandar Antic, Marko Panic, Milos Pandzic, Emmanouil Alexakis, Philip Mavrepis, Naweiluo Zhou, Oskar Marko, Vladimir S. Crnojevic
2021	J	`jnl`	Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks. Sensors Dejan Pavlovic, Chris Davison, Andrew W. Hamilton, Oskar Marko, Robert C. Atkinson, W. Craig Michie, Vladimir S. Crnojevic, Ivan Andonovic, Xavier J. A. Bellekens, Christos Tachtatzis
2021	J	`jnl`	Container orchestration on HPC systems through Kubernetes. J. Cloud Comput. Naweiluo Zhou, Yiannis Georgiou, Marcin Pospieszny, Li Zhong, Huan Zhou, Christoph Niethammer, Branislav Pejak, Oskar Marko, Dennis Hoppe
2020	J	`jnl`	CYBELE - Fostering precision agriculture & livestock farming through secure access to large-scale HPC enabled virtual industrial experimentation environments fostering scalable big data analytics. Comput. Networks Konstantinos Perakis, Fenareti Lampathaki, Konstantinos Nikas, Yiannis Georgiou, Oskar Marko, Jarissa Maselyne
2019	—	`conf`	Optimisation of crop configuration using NSGA-III with categorical genetic operators. GECCO (Companion) Oskar Marko, Dejan Pavlovic, Vladimir S. Crnojevic, Kalyanmoy Deb
2019	—	`conf`	Wheat Ear Detection in RGB : and Thermal Images Using Deep Neural Networks. MLDM (2) Zeljana Grbovic, Marko Panic, Oskar Marko, Sanja Brdar, Vladimir S. Crnojevic
2016	J	`jnl`	Soybean varieties portfolio optimisation based on yield prediction. Comput. Electron. Agric. Oskar Marko, Sanja Brdar, Marko Panic, Predrag Lugonja, Vladimir S. Crnojevic

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.