Speaker recognition in noisy conditions with limited training data. - Niall McLaughlin; Ji Ming; Danny Crookes (EUSIPCO, 2011)

Robust Bimodal Person Identification Using Face and Speech with Limited Training Data and Corruption of Both Modalities. - Niall McLaughlin; Ji Ming; Danny Crookes (INTERSPEECH, 2011)

Illumination invariant facial recognition using a piecewise-constant lighting model. - Niall McLaughlin; Ji Ming; Danny Crookes (ICASSP, 2012)

Online multiperson tracking with occlusion reasoning and unsupervised track motion model. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (AVSS, 2013)

Robust Multimodal Person Identification With Limited Training Data. - Niall McLaughlin; Ji Ming; Danny Crookes (IEEE Trans. Hum. Mach. Syst., 2013)

Data-augmentation for reducing dataset bias in person re-identification. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (AVSS, 2015)

Enhancing Linear Programming with Motion Modeling for Multi-target Tracking. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (WACV, 2015)

Dense Multiperson Tracking with Robust Hierarchical Linear Assignment. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (IEEE Trans. Cybern., 2015)

Recurrent Convolutional Network for Video-Based Person Re-identification. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (CVPR, 2016)

Deep Android Malware Detection. - Niall McLaughlin; Jesús Martínez del Rincón; BooJoong Kang; Suleiman Y. Yerima; Paul Miller 003; Sakir Sezer; Yeganeh Safaei; Erik Trickel; Ziming Zhao 001; Adam Doupé; Gail-Joon Ahn (CODASPY, 2017)

Person Reidentification Using Deep Convnets With Multitask Learning. - Niall McLaughlin; Jesús Martínez del Rincón; Paul C. Miller (IEEE Trans. Circuits Syst. Video Technol., 2017)

Largest Matching Areas for Illumination and Occlusion Robust Face Recognition. - Niall McLaughlin; Ji Ming; Danny Crookes (IEEE Trans. Cybern., 2017)

Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimation. - Niall McLaughlin; Jesús Martínez del Rincón (AMDO, 2018)

Video Person Re-Identification for Wide Area Tracking Based on Recurrent Neural Networks. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (IEEE Trans. Circuits Syst. Video Technol., 2019)

DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection. - Stuart Millar; Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003; Ziming Zhao 001 (CODASPY, 2020)

Towards Explainable CNNs for Android Malware Detection. - Martin Kinkead; Stuart Millar; Niall McLaughlin; Philip O'Kane (ANT/EDI40, 2021)

Data Augmentation for Opcode Sequence Based Malware Detection. - Niall McLaughlin; Jesús Martínez del Rincón (CoRR, 2021)

Multi-view deep learning for zero-day Android malware detection. - Stuart Millar; Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (J. Inf. Secur. Appl., 2021)

Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection. - Niall McLaughlin (CoRR, 2022)

3-D Human Pose Estimation Using Iterative Conditional Squeeze and Excitation Networks. - Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (IEEE Trans. Cybern., 2022)

Android Malware Detection Using Deep Learning. - Stuart Millar; Niall McLaughlin; Jesús Martínez del Rincón; Paul Miller 003 (Artificial Intelligence and Cybersecurity, 2023)

Vehicle Damage Severity Estimation for Insurance Operations Using In-The-Wild Mobile Images. - Dimitrios Mallios; Li Xiaofei; Niall McLaughlin; Jesús Martínez del Rincón; Clare Galbraith; Rory Garland (IEEE Access, 2023)

QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. - Rui Guo; Greg Farnan; Niall McLaughlin; Barry Devereux (BioNLP@ACL, 2024)

Learning to Segment Publicly Accessible Green Spaces with Visual and Semantic Data. - Jian Gao; Niall McLaughlin; Joanna Sara Valson; Neil Anderson; Ruth F. Hunter (BMVC, 2024)

Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events. - Anicetus Odo; Niall McLaughlin; Ilias Kyriazakis (WACV, 2024)

Hard-label based Small Query Black-box Adversarial Attack. - Jeonghwan Park 002; Paul Miller 003; Niall McLaughlin (WACV, 2024)

A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis. - Mairead Campbell; Paul Miller 003; Katerine Díaz-Chito; Xin Hong; Niall McLaughlin; Farzad Parvinzamir; Jesús Martínez del Rincón; Niamh O'Connell (Comput. Electron. Agric., 2024)

UnLearning from Experience to Avoid Spurious Correlations. - Jeff Mitchell 002; Jesús Martínez del Rincón; Niall McLaughlin (CoRR, 2024)

Generating sparse explanations for malicious Android opcode sequences using hierarchical LIME. - Jeff Mitchell 002; Niall McLaughlin; Jesús Martínez del Rincón (Comput. Secur., 2024)

LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation. - Rui Guo; Barry Devereux; Greg Farnan; Niall McLaughlin (COLING Workshops, 2025)

Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis. - Jeonghwan Park 002; Niall McLaughlin; Ihsen Alouani (CVPR, 2025)