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20212026
most citedData Cleaning and Machine Learning: A Systematic Literature Review

6 citations · 21 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SE2026

Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing

Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek +2

Extensive simulation-based testing is important for assuring the safety of autonomous driving systems (ADS). However, generating safety-critical traffic scenarios remains challengi…

cs.NE2025★ 1 cited

Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems

Dmytro Humeniuk, Foutse Khomh

Testing autonomous robotic systems, such as self-driving cars and unmanned aerial vehicles, is challenging due to their interaction with highly unpredictable environments. A common…

cs.RO2024★ 2 cited

In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators

Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid +1

Testing autonomous robotic manipulators is challenging due to the complex software interactions between vision and control components. A crucial element of modern robotic manipulat…

cs.LG2023★ 6 cited

Data Cleaning and Machine Learning: A Systematic Literature Review

Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed +2

Context: Machine Learning (ML) is integrated into a growing number of systems for various applications. Because the performance of an ML model is highly dependent on the quality of…

cs.RO2023★ 6 cited

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Evolutionary search-based techniques are commonly used for testing autonomous robotic systems. However, these approaches often rely on computationally expensive simulator-based mod…

cs.RO2023★ 5 cited

AmbieGen: A Search-based Framework for Autonomous Systems Testing

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Thorough testing of safety-critical autonomous systems, such as self-driving cars, autonomous robots, and drones, is essential for detecting potential failures before deployment. O…

cs.NE2022★ 1 cited

A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Many modern cyber physical systems incorporate computer vision technologies, complex sensors and advanced control software, allowing them to interact with the environment autonomou…

cs.CR2021

Data Driven Testing of Cyber Physical Systems

Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh

Consumer grade cyber-physical systems (CPS) are becoming an integral part of our life, automatizing and simplifying everyday tasks. Indeed, due to complex interactions between hard…