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Eoin Martino Grua
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2020 – today
- 2024
- [j10]Dishant Mewada
, Cathaoir Agnew
Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision. IEEE Access 12: 129434-129446 (2024) - [j9]Cathaoir Agnew
Annotation Quality Versus Quantity for Object Detection and Instance Segmentation. IEEE Access 12: 140958-140977 (2024) - [j8]Daniel Jakab
ARDÁN: Automated Reference-Free Defocus Characterization for Automotive Near-Field Cameras. IEEE Access 12: 145637-145670 (2024) - [j7]Cathaoir Agnew
Pretraining instance segmentation models with bounding box annotations. Intell. Syst. Appl. 24: 200454 (2024) - [j6]Daniel Jakab
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges. IEEE Trans. Intell. Transp. Syst. 25(9): 10542-10563 (2024) - [i3]Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan, Anthony G. Scanlan, Pepijn van de Ven, Ciarán Eising:
Measuring Natural Scenes SFR of Automotive Fisheye Cameras. CoRR abs/2401.05232 (2024) - [i2]Daniel Jakab, Brian Michael Deegan, Sushil Sharma, Eoin Martino Grua, Jonathan Horgan, Enda Ward, Pepijn van de Ven, Anthony G. Scanlan, Ciarán Eising:
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges. CoRR abs/2402.12041 (2024) - [i1]Anam Manzoor, Aryan Singh, Ganesh Sistu, Reenu Mohandas, Eoin Martino Grua, Anthony G. Scanlan, Ciarán Eising:
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving. CoRR abs/2407.16647 (2024) - 2023
- [j5]Cathaoir Agnew
Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance. IEEE Access 11: 25174-25188 (2023) - [j4]Cathaoir Agnew
Detecting the overfilled status of domestic and commercial bins using computer vision. Intell. Syst. Appl. 18: 200229 (2023) - 2022
- [j3]Eoin Martino Grua
An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps. Inf. Softw. Technol. 146: 106841 (2022) - 2021
- [p1]Eoin Martino Grua, Martina De Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago:
Social Sustainability in the e-Health Domain via Personalized and Self-Adaptive Mobile Apps. Software Sustainability 2021: 301-328 - 2020
- [j2]Eduardo Barbaro
Modelling and predicting User Engagement in mobile applications. Data Sci. 3(2): 61-77 (2020) - [j1]Floris den Hengst
Reinforcement learning for personalization: A systematic literature review. Data Sci. 3(2): 107-147 (2020) - [c7]Kwame Chan-Jong-Chu, Tanjina Islam, Miguel Morales Exposito, Sanjay Sheombar, Christian Valladares, Olivier Philippot, Eoin Martino Grua
Investigating the Correlation between Performance Scores and Energy Consumption of Mobile Web Apps. EASE 2020: 190-199 - [c6]Eoin Martino Grua
A Reference Architecture for Personalized and Self-adaptive e-Health Apps. ECSA Companion 2020: 195-209 - [c5]Ivano Malavolta
A framework for the automatic execution of measurement-based experiments on Android devices. ASE Workshops 2020: 61-66
2010 – 2019
- 2019
- [c4]Eoin Martino Grua
Self-adaptation in mobile apps: a systematic literature study. SEAMS@ICSE 2019: 51-62 - [c3]Eoin Martino Grua
CluStream-GT: Online Clustering for Personalization in the Health Domain. WI 2019: 270-275 - 2018
- [c2]Alice Frantz Schneider
Towards a sustainable business model for smartphones: Combining product-service systems with modularity. ICT4S 2018: 82-99 - [c1]Eoin Martino Grua
Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and Wellbeing. SSCI 2018: 813-820
Coauthor Index
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last updated on 2024-12-01 01:08 CET by the dblp team
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