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Daniel Riordan
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2020 – today
- 2024
- [j4]Anderson Carvalho, Daniel Riordan, Joseph Walsh:
A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud. Future Internet 16(4): 111 (2024) - [j3]Abdullah Caliskan, Joseph Walsh, Daniel Riordan:
River Network Biological Monitoring With AI. IEEE Technol. Soc. Mag. 43(3): 72-80 (2024) - 2023
- [c21]Abdullah Caliskan, Conor O'Brien, Krishna Panduru, Joseph Walsh, Daniel Riordan:
Condition Monitoring of an Autonomous Electric Drive Train by Using Machine Learning Methods. ICIEI 2023: 224-229 - [c20]Abdullah Caliskan, Daniel Riordan, Joseph Walsh:
The Biomonitoring of Ireland's River Network Using a 1D Convolution Neural Network. ISTAS 2023: 1-4 - 2022
- [c19]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
- [j2]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) - [c18]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
- [c17]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 - [c16]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 - [c15]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
- [c14]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 - [c13]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 - [c12]Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh:
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
- [c11]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 - [c10]Sukumar Katamreddy, Pat Doody, Joseph Walsh, Daniel Riordan:
Visual Udder Detection with Deep Neural Networks. ICST 2018: 166-171 - [c9]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 - 2017
- [c8]Niall O' Mahony, Trevor Murphy, Krishna Panduru, Daniel Riordan, Joseph Walsh:
Real-time monitoring of powder blend composition using near infrared spectroscopy. ICST 2017: 1-6 - 2016
- [j1]Amruta Awasthi, Anshul Awasthi, Daniel Riordan, Joseph Walsh:
Non-Invasive Sensor Technology for the Development of a Dairy Cattle Health Monitoring System. Comput. 5(4): 23 (2016) - [c7]Niall O' Mahony, Trevor Murphy, Krishna Panduru, Daniel Riordan, Joseph Walsh:
Smart sensors for process analytical technology. AIM 2016: 1005-1010 - [c6]Niall O' Mahony, Trevor Murphy, Krishna Panduru, Daniel Riordan, Joseph Walsh:
Machine learning algorithms for process analytical technology. WCICSS 2016: 20-26 - 2015
- [c5]Ciaran Doyle, Daniel Riordan, Joseph Walsh:
Automated bias-removal resistance measurement circuit for precision on-site temperature calibration exploitation of state changes of materials. ICST 2015: 229-234 - 2013
- [c4]Daniel Riordan, Joseph Walsh, Pat Doody:
An A.N.N. model of the perception of sound by the human auditory system. ICST 2013: 75-80 - [c3]P. O'Donoghue, B. Jackson, Daniel Riordan, Joseph Walsh, Ali Abdulkarim, A. Asibaei, J. Rice:
Investigation of bone resonance during femoral reaming in hip replacement surgery. ICST 2013: 532-535
2000 – 2009
- 2007
- [c2]Daniel Riordan, Pat Doody:
An Alternative Method for the Estimation of the Perceptual Loudness Measure. Artificial Intelligence and Pattern Recognition 2007: 222-224 - [c1]Daniel Riordan, Pat Doody:
An Artificial Neural Network Implementation of the Frequency to Critical-Band Rate Conversion. Artificial Intelligence and Pattern Recognition 2007: 225-228
Coauthor Index
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