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Lenka Krpalkova
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2020 – today
- 2024
- [j2]Amruta Awasthi, Lenka Krpalkova, Joseph Walsh:
Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations. Algorithms 17(8): 333 (2024) - 2022
- [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, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Joseph Walsh, Daniel Riordan:
Representation Learning for Fine-Grained Change Detection. Sensors 21(13): 4486 (2021) - [c10]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh:
Improving Accuracy and Latency in Image Re-identification by Gallery Database Cleansing. SAI (1) 2021: 911-921 - 2020
- [c9]Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh:
Path Planning Techniques for Mobile Robots A Review. ICMRE 2020: 12-16 - [c8]Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh:
Where am I? Localization techniques for Mobile Robots A Review. ICMRE 2020: 43-47 - [c7]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. 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
- [c6]Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody:
Farming on the edge: Architectural Goals. Agro-Geoinformatics 2019: 1-6 - [c5]Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Pat Doody, Joseph Walsh:
Improving Industrial Computing Capacity with Fog Computing and Smart Systems. CoDIT 2019: 1693-1698 - [c4]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. CVC (1) 2019: 128-144 - [c3]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh:
Point Cloud Annotation Methods for 3D Deep Learning. ICST 2019: 1-6 - [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
- [c2]Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh:
Convolutional Neural Networks for 3D Vision System Data : A review. ICST 2018: 160-165 - [c1]Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Daniel Riordan, Joseph Walsh, Aidan Murphy, Conor Ryan:
Computer Vision for 3D Perception - A Review. IntelliSys (2) 2018: 788-804
Coauthor Index
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