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Niall O' Mahony
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2020 – today
- 2022
- [c15]Niall O' Mahony
, Anshul Awasthi, Joseph Walsh, Daniel Riordan:
Latent Space Cartography for Geometrically Enriched Latent Spaces. AICS 2022: 488-501 - [i3]Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Joseph Walsh, Daniel Riordan
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning. CoRR abs/2208.05800 (2022) - 2021
- [j1]Niall O' Mahony
Representation Learning for Fine-Grained Change Detection. Sensors 21(13): 4486 (2021) - [c14]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan
Improving Accuracy and Latency in Image Re-identification by Gallery Database Cleansing. SAI (1) 2021: 911-921 - 2020
- [c13]Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan
Path Planning Techniques for Mobile Robots A Review. ICMRE 2020: 12-16 - [c12]Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan
Where am I? Localization techniques for Mobile Robots A Review. ICMRE 2020: 43-47 - [c11]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Adolfo Velasco-Hernández, Daniel Riordan
Understanding and Exploiting Dependent Variables with Deep Metric Learning. IntelliSys (1) 2020: 97-113 - [i2]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh:
Understanding and Exploiting Dependent Variables with Deep Metric Learning. CoRR abs/2009.03820 (2020)
2010 – 2019
- 2019
- [c10]Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody
Farming on the edge: Architectural Goals. Agro-Geoinformatics 2019: 1-6 - [c9]Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Pat Doody
Improving Industrial Computing Capacity with Fog Computing and Smart Systems. CoDIT 2019: 1693-1698 - [c8]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández
Deep Learning vs. Traditional Computer Vision. CVC (1) 2019: 128-144 - [c7]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan
Point Cloud Annotation Methods for 3D Deep Learning. ICST 2019: 1-6 - [c6]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández
Adaptive Multimodal Localisation Techniques for Mobile Robots in Unstructured Environments : A Review. WF-IoT 2019: 799-804 - [i1]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Lenka Krpalkova, Daniel Riordan, Joseph Walsh:
Deep Learning vs. Traditional Computer Vision. CoRR abs/1910.13796 (2019) - 2018
- [c5]Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Gustavo Adolfo Velasco-Hernández
Convolutional Neural Networks for 3D Vision System Data : A review. ICST 2018: 160-165 - [c4]Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Daniel Riordan
Computer Vision for 3D Perception - A Review. IntelliSys (2) 2018: 788-804 - 2017
- [c3]Niall O' Mahony, Trevor Murphy, Krishna Panduru, Daniel Riordan
Real-time monitoring of powder blend composition using near infrared spectroscopy. ICST 2017: 1-6 - 2016
- [c2]Niall O' Mahony
Smart sensors for process analytical technology. AIM 2016: 1005-1010 - [c1]Niall O' Mahony, Trevor Murphy, Krishna Panduru, Daniel Riordan
Machine learning algorithms for process analytical technology. WCICSS 2016: 20-26
Coauthor Index
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