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Niall McLaughlin
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2020 – today
- 2024
- [j10]Mairead Campbell
, Paul Miller, Katerine Díaz-Chito, Xin Hong, Niall McLaughlin, Farzad Parvinzamir, Jesús Martínez del Rincón
A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis. Comput. Electron. Agric. 217: 108591 (2024) - [j9]Jeff Mitchell
Generating sparse explanations for malicious Android opcode sequences using hierarchical LIME. Comput. Secur. 137: 103637 (2024) - [c14]Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux:
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. BioNLP@ACL 2024: 664-674 - [c13]Jeonghwan Park, Paul Miller, Niall McLaughlin:
Hard-label based Small Query Black-box Adversarial Attack. WACV 2024: 3974-3983 - [c12]Anicetus Odo
Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events. WACV 2024: 7080-7088 - [i5]Jeonghwan Park, Paul Miller, Niall McLaughlin:
Hard-label based Small Query Black-box Adversarial Attack. CoRR abs/2403.06014 (2024) - [i4]Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux:
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. CoRR abs/2406.00041 (2024) - [i3]Jeff Mitchell, Jesús Martínez del Rincón, Niall McLaughlin:
UnLearning from Experience to Avoid Spurious Correlations. CoRR abs/2409.02792 (2024) - 2023
- [j8]Dimitrios Mallios, Li Xiaofei, Niall McLaughlin
Vehicle Damage Severity Estimation for Insurance Operations Using In-The-Wild Mobile Images. IEEE Access 11: 78644-78655 (2023) - [p1]Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller:
Android Malware Detection Using Deep Learning. Artificial Intelligence and Cybersecurity 2023: 209-246 - 2022
- [j7]Niall McLaughlin
3-D Human Pose Estimation Using Iterative Conditional Squeeze and Excitation Networks. IEEE Trans. Cybern. 52(1): 687-699 (2022) - [i2]Niall McLaughlin:
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection. CoRR abs/2204.05994 (2022) - 2021
- [j6]Stuart Millar, Niall McLaughlin
Multi-view deep learning for zero-day Android malware detection. J. Inf. Secur. Appl. 58: 102718 (2021) - [c11]Martin Kinkead, Stuart Millar, Niall McLaughlin
Towards Explainable CNNs for Android Malware Detection. ANT/EDI40 2021: 959-965 - [i1]Niall McLaughlin, Jesús Martínez del Rincón:
Data Augmentation for Opcode Sequence Based Malware Detection. CoRR abs/2106.11821 (2021) - 2020
- [c10]Stuart Millar, Niall McLaughlin
DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection. CODASPY 2020: 353-364
2010 – 2019
- 2019
- [j5]Niall McLaughlin
Video Person Re-Identification for Wide Area Tracking Based on Recurrent Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2613-2626 (2019) - 2018
- [c9]Niall McLaughlin, Jesús Martínez del Rincón:
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation. AMDO 2018: 11-23 - 2017
- [j4]Niall McLaughlin, Jesús Martínez del Rincón
Person Reidentification Using Deep Convnets With Multitask Learning. IEEE Trans. Circuits Syst. Video Technol. 27(3): 525-539 (2017) - [j3]Niall McLaughlin, Ji Ming, Danny Crookes:
Largest Matching Areas for Illumination and Occlusion Robust Face Recognition. IEEE Trans. Cybern. 47(3): 796-808 (2017) - [c8]Niall McLaughlin
Deep Android Malware Detection. CODASPY 2017: 301-308 - 2016
- [c7]Niall McLaughlin
Recurrent Convolutional Network for Video-Based Person Re-identification. CVPR 2016: 1325-1334 - 2015
- [j2]Niall McLaughlin
Dense Multiperson Tracking with Robust Hierarchical Linear Assignment. IEEE Trans. Cybern. 45(7): 1276-1288 (2015) - [c6]Niall McLaughlin
Data-augmentation for reducing dataset bias in person re-identification. AVSS 2015: 1-6 - [c5]Niall McLaughlin, Jesús Martínez del Rincón
Enhancing Linear Programming with Motion Modeling for Multi-target Tracking. WACV 2015: 71-77 - 2013
- [j1]Niall McLaughlin, Ji Ming, Danny Crookes:
Robust Multimodal Person Identification With Limited Training Data. IEEE Trans. Hum. Mach. Syst. 43(2): 214-224 (2013) - [c4]Niall McLaughlin, Jesús Martínez del Rincón
Online multiperson tracking with occlusion reasoning and unsupervised track motion model. AVSS 2013: 37-42 - 2012
- [c3]Niall McLaughlin, Ji Ming, Danny Crookes:
Illumination invariant facial recognition using a piecewise-constant lighting model. ICASSP 2012: 1537-1540 - 2011
- [c2]Niall McLaughlin, Ji Ming, Danny Crookes:
Speaker recognition in noisy conditions with limited training data. EUSIPCO 2011: 1294-1298 - [c1]Niall McLaughlin, Ji Ming, Danny Crookes:
Robust Bimodal Person Identification Using Face and Speech with Limited Training Data and Corruption of Both Modalities. INTERSPEECH 2011: 585-588
Coauthor Index
aka: Paul C. Miller
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