Eoin Martino Grua

According to our database, Eoin Martino Grua authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges.

Daniel Jakab, Brian Michael Deegan, Sushil Sharma, Eoin Martino Grua, Jonathan Horgan, Enda Ward, Pepijn van de Ven, Anthony G. Scanlan, Ciarán Eising

IEEE Trans. Intell. Transp. Syst., September, 2024

Pretraining instance segmentation models with bounding box annotations.

Cathaoir Agnew, Eoin Martino Grua, Pepijn van de Ven, Patrick Denny, Ciarán Eising, Anthony G. Scanlan

Intell. Syst. Appl., 2024

Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving.

Anam Manzoor, Aryan Singh, Ganesh Sistu, Reenu Mohandas, Eoin Martino Grua, Anthony G. Scanlan, Ciarán Eising

CoRR, 2024

Measuring Natural Scenes SFR of Automotive Fisheye Cameras.

Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan, Anthony G. Scanlan, Pepijn van de Ven, Ciarán Eising

CoRR, 2024

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision.

Dishant Mewada, Cathaoir Agnew, Eoin Martino Grua, Ciarán Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony G. Scanlan

IEEE Access, 2024

ARDÁN: Automated Reference-Free Defocus Characterization for Automotive Near-Field Cameras.

Daniel Jakab, Eoin Martino Grua, Reenu Mohandas, Brian Michael Deegan, Anthony G. Scanlan, Dara Molloy, Enda Ward, Ciarán Eising

IEEE Access, 2024

Annotation Quality Versus Quantity for Object Detection and Instance Segmentation.

Cathaoir Agnew, Anthony G. Scanlan, Patrick Denny, Eoin Martino Grua, Pepijn van de Ven, Ciarán Eising

IEEE Access, 2024

2023

Detecting the overfilled status of domestic and commercial bins using computer vision.

Cathaoir Agnew, Dishant Mewada, Eoin Martino Grua, Ciarán Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony G. Scanlan

Intell. Syst. Appl., May, 2023

Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance.

Cathaoir Agnew, Ciarán Eising, Patrick Denny, Anthony G. Scanlan, Pepijn van de Ven, Eoin Martino Grua

IEEE Access, 2023

2022

An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps.

Eoin Martino Grua, Martina De Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago

Inf. Softw. Technol., 2022

2021

Social Sustainability in the e-Health Domain via Personalized and Self-Adaptive Mobile Apps.

Eoin Martino Grua, Martina De Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago

Proceedings of the Software Sustainability, 2021

2020

Reinforcement learning for personalization: A systematic literature review.

Floris den Hengst, Eoin Martino Grua, Ali el Hassouni, Mark Hoogendoorn

Data Sci., 2020

Modelling and predicting User Engagement in mobile applications.

Eduardo Barbaro, Eoin Martino Grua, Ivano Malavolta, Mirjana Stercevic, Esther Weusthof, Jeroen van den Hoven

Data Sci., 2020

A framework for the automatic execution of measurement-based experiments on Android devices.

Ivano Malavolta, Eoin Martino Grua, Cheng-Yu Lam, Randy de Vries, Franky Tan, Eric Zielinski, Michael Peters, Luuk Kaandorp

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020

A Reference Architecture for Personalized and Self-adaptive e-Health Apps.

Eoin Martino Grua, Martina De Sanctis, Patricia Lago

Proceedings of the Software Architecture - 14th European Conference, 2020

Investigating the Correlation between Performance Scores and Energy Consumption of Mobile Web Apps.

Kwame Chan-Jong-Chu, Tanjina Islam, Miguel Morales Exposito, Sanjay Sheombar, Christian Valladares, Olivier Philippot, Eoin Martino Grua, Ivano Malavolta

Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2019

CluStream-GT: Online Clustering for Personalization in the Health Domain.

Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, A. E. Eiben

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Self-adaptation in mobile apps: a systematic literature study.

Eoin Martino Grua, Ivano Malavolta, Patricia Lago

Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

2018

Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and Wellbeing.

Eoin Martino Grua, Mark Hoogendoorn

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Towards a sustainable business model for smartphones: Combining product-service systems with modularity.

Alice Frantz Schneider, Sepideh Matinfar, Eoin Martino Grua, Diego Casado-Mansilla, Lars Cordewener

Proceedings of the 5th International Conference on Information and Communication Technology for Sustainability, 2018