Niall McLaughlin

Research output

Research output per year 2011 2024 2025 2025

• 16 Conference contribution
• 13 Article
• 3 Paper
• 1 Chapter (peer-reviewed)
• 1 More
  • 1 Meeting abstract

Research output per year

Research output per year

Search results

• 2025

  Automated precision weighing: leveraging 2D video feature analysis and machine learning for live body weight estimation of broiler chickens

  Campbell, M., Miller, P., Diaz Chito, K., Irvine, S., Baxter, M., Martinez-del-Rincon, J., Hong, X., McLaughlin, N., Arumugam, T. & O'Connell, N., Mar 2025, In: Smart Agricultural Technology. 10, 100793.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Learning System 100%
  • Artificial Intelligence 100%
  • Broiler Chickens 100%
  • Broiler Chicken 100%
  • Body Weight 100%
  25 Downloads (Pure)

• LAB-KG: a retrieval-augmented generation method with knowledge graphs for medical lab test interpretation

  Guo, R., Devereux, B., Farnan, G. & McLaughlin, N., 30 Jan 2025, Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025. European Language Resources Association, p. 40-50 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Large Language Model 100%
  • Information Retrieval 100%
  • Knowledge Graph 100%
  • Laboratory Test 60%
  • Interpretability 20%
  14 Downloads (Pure)

• Mind the gap: detecting black-box adversarial attacks in the making through query update analysis

  Park, J., McLaughlin, N. & Alouani, I., 13 Mar 2025, (Accepted) Proceedings of the 2025 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2025. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Adversarial Machine Learning 100%
  • Attack Strategy 33%
  • Model Architecture 33%
  • Learning System 33%
  • Machine Learning 33%

• Re-identification for long-term tracking and management of health and welfare challenges in pigs

  Odo, A., McLaughlin, N. & Kyriazakis, I., Mar 2025, In: Biosystems Engineering. 251, p. 89-100

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Performance Characteristic 100%
  • Management Condition 100%
  • Optical Tracking 12%
  32 Downloads (Pure)
• 2024

  A computer vision approach to monitor activity in commercial broiler chickens using trajectory-based clustering analysis

  Campbell, M., Miller, P., Díaz-Chito, K., Hong, X., McLaughlin, N., Parvinzamir, F., Martínez Del Rincón, J. & O'Connell, N., Feb 2024, In: Computers and Electronics in Agriculture. 217, 12 p., 108591.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Approach 100%
  • Monitor 100%
  • Trajectory 100%
  • Chicken 100%
  • Computer Vision 100%
  11 Citations (Scopus)

  202 Downloads (Pure)

• Automated monitoring of ear biting in pigs by tracking individuals and events

  Odo, A., McLaughlin, N. & Kyriazakis, I., 09 Apr 2024, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV): proceedings. Institute of Electrical and Electronics Engineers Inc., p. 7080-7088 9 p. (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV): proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Events 100%
  • Tracking System 100%
  • Monitoring 100%
  • Pig 100%
  • Ears 100%
  3 Citations (Scopus)

  11 Downloads (Pure)

• Automated weight estimation of broiler chickens using 2D computer vision

  Campbell, M., Díaz-Chito, K., Miller, P., Baxter, M., Hong, X., McLaughlin, N., Martínez Del Rincón, J. & O'Connell, N., 15 Apr 2024, In: Animal - Science Proceedings. 15, 1, p. 134-135 120.

  Research output: Contribution to journal › Meeting abstract › peer-review

• Hard-label based small query black-box adversarial attack

  Park, J., McLaughlin, N. & Miller, P., 09 Apr 2024, IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024: proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3974-3983 10 p. (IEEE/CVF Winter Conference on Applications of Computer Vision: proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Attack 100%
  • Adversarial Machine Learning 100%
  • Models 100%
  • Benchmark 25%
  • Process Optimization 25%
  5 Citations (Scopus)

  66 Downloads (Pure)

• Investigation into the effect of batch size on batch normalisation during inference for image colourisation

  Armstrong, D., McLaughlin, N. & Wang, H., 07 Oct 2024, 26th Irish Machine Vision and Image Processing Conference (IMVIP 2024): proceedings. Institution of Engineering and Technology (IET), 8 p. (IET Conference Proceedings; vol. 2024, no. 10).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Batch Size 100%
  • Color Image 50%
  27 Downloads (Pure)

• Learning to segment publicly accessible green spaces with visual and semantic data

  Gao, J., McLaughlin, N., Valson, J. S., Anderson, N. & Hunter, R., 30 Nov 2024, The British Machine Vision Conference (BMVC 2024): proceedings. British Machine Vision Association

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Remote Sensing Data 100%
  • Green Space 100%
  • Data Source 50%
  • Image Segmentation 50%
  • Geographical Information 50%
  20 Downloads (Pure)

• QUB-Cirdan at “Discharge Me!”: zero shot discharge letter generation by open-source LLM

  Guo, R., Farnan, G., McLaughlin, N. & Devereux, B., 16 Aug 2024, 23rd Workshop on Biomedical Natural Language Processing: Proceedings. Bangkok, Thailand: Association for Computational Linguistics, p. 664–674 11 p. 2024.bionlp-1.58

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Open Source 100%
  • Large Language Model 100%
  • Information Retrieval 100%
  • Pathway 100%
  • Metrics 100%
  5 Downloads (Pure)
• 2023

  Evaluation of explainable AI localisation performance using relevance F-score

  Balogh, G., McLaughlin, N. & Rainer, A., 31 Aug 2023, Proceedings of the 25th Irish Machine Vision and Image Processing Conference 2023. Irish Pattern Recognition & Classification Society, p. 96-103 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Evaluation 100%
  • Explainable Artificial Intelligence 100%
  • Standards 8%
  • Artificial Intelligence 8%
  • Research Community 8%
  125 Downloads (Pure)

• Generating sparse explanations for malicious android opcode sequences using hierarchical LIME

  Mitchell, J., McLaughlin, N. & Martinez-del-Rincon, J., 12 Dec 2023, (Early online date) In: Computers & Security . 137, 15 p., 103637.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Classes 100%
  • Android 100%
  • Standards 50%
  • Accuracy 50%
  • Programs 50%
  5 Citations (Scopus)

  59 Downloads (Pure)

• Vehicle damage severity estimation for insurance operations using in-the-wild mobile images

  Mallios, D., Xiaofei, L., McLaughlin, N., Martinez Del Rincon, J., Galbraith, C. & Garland, R., 26 Jul 2023, In: IEEE Access. 11, p. 78644-78655 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Accidents 100%
  • Computer Vision 100%
  • Structured Data 100%
  • Models 100%
  • Hardware 50%
  10 Citations (Scopus)

  544 Downloads (Pure)
• 2022

  Android malware detection using deep learning

  Millar, S., McLaughlin, N., Martinez-del-Rincon, J. & Miller, P., 01 Aug 2022, Artificial intelligence and cybersecurity theory and applications. Sipola, T., Kokkonen, T. & Karjalainen , M. (eds.). Springer, p. 209–246

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  Open Access

  File

  • Android 100%
  • Malware Detection 100%
  • Deep Learning 100%
  • Malware 66%
  • Architecture View 66%
  4 Citations (Scopus)

  24 Downloads (Pure)

• Data augmentation for opcode sequence based malware detection

  McLaughlin, N. & Martinez-del-Rincon, J., 29 Mar 2022, (Accepted).

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  120 Downloads (Pure)

• Visual Re-identification within Large Herds of Holstein Friesian Cattle

  Lennox, M., McLaughlin, N. & Martinez-del-Rincon, J., 22 Jun 2022, (Accepted). 4 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  139 Downloads (Pure)
• 2021

  Multi-view Deep Learning for Zero-day Android Malware Detection

  Millar, S., McLaughlin, N., Martinez-del-Rincon, J. & Miller, P., 13 Jan 2021, (Early online date) In: Journal of Information Security and Applications. 58

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Android 100%
  • Malware Detection 100%
  • Deep Learning 100%
  • Benchmark 66%
  • Evaluation 33%
  82 Citations (Scopus)

  466 Downloads (Pure)

• Towards explainable CNNs for android malware detection

  Kinkead, M., Millar, S., McLaughlin, N. & O'Kane, P., 18 May 2021, In: Procedia Computer Science. 184, p. 959-965

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Android 100%
  • Malware Detection 100%
  • Convolutional Neural Network 100%
  • Real World 16%
  • Benchmark 16%
  48 Citations (Scopus)

  119 Downloads (Pure)
• 2020

  3D Human Pose Estimation using Iterative Conditional Squeeze and Excitation Networks

  McLaughlin, N., Martinez-del-Rincon, J. & Miller, P., 05 Feb 2020, (Early online date) In: IEEE Transactions on Cybernetics. p. 1-13

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Real World 100%
  • Pose Estimation 100%
  • Network Architecture 66%
  • Attention (Machine Learning) 33%
  • Iterative Refinement 33%
  14 Citations (Scopus)

  659 Downloads (Pure)

• DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection

  Millar, S., McLaughlin, N., Martinez del Rincon, J., Miller, P. & Zhao, Z., 16 Mar 2020, Proceeding of the 10th ACM Conference on Data and Application Security and Privacy. (Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Obfuscation 100%
  • Android 100%
  • Malware Detection 100%
  • Models 100%
  • Obfuscation Technique 66%
  57 Citations (Scopus)

  858 Downloads (Pure)
• 2018

  Refining the Pose: Training and use of Deep Recurrent Autoencoders for Improving Human Pose Estimations

  McLaughlin, N. & Martinez del Rincon, J., 01 Sept 2018, Proceeding of the X Conference on Articulated Motion and Deformable Objects AMDO 2018. Springer, Vol. 10945. 11 p. (Image Processing, Computer Vision, Pattern Recognition, and Graphics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Pose Estimation 100%
  • Autoencoder 100%
  • Standards 33%
  • Temporal Information 33%
  • Video Sequences 33%
  1 Citation (Scopus)
• 2017

  Deep Android Malware Detection

  McLaughlin, N., Martinez del Rincon, J., Kang, B., Yerima, S., Miller, P., Sezer, S., Safaeisemnani, Y., Trickel, E., Zhao, Z., Doupé, A. & Joon Ahn, G., 22 Mar 2017, Proceedings of the ACM Conference on Data and Applications Security and Privacy (CODASPY) 2017. Association for Computing Machinery, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Malware 100%
  • Android 100%
  • Malware Detection 100%
  • Programs 33%
  • Network Design 33%
  432 Citations (Scopus)

  9226 Downloads (Pure)

• Person Re-Identification using Deep Convnets with Multi-task Learning

  McLaughlin, N., Martinez del Rincon, J. & Miller, P., Mar 2017, In: IEEE Transactions on Circuits and Systems for Video Technology. 27, 3, p. 525-539 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Person Re-Identification 100%
  • Reidentification 100%
  • Multitask Learning 100%
  • Appearance Variation 50%
  • Identification 50%
  38 Citations (Scopus)

  1280 Downloads (Pure)

• Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks

  McLaughlin, N., Martinez del Rincon, J. & Miller, P., 26 Jul 2017, (Early online date) In: IEEE Transactions on Circuits and Systems for Video Technology. 29, 9, p. 2613

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Person Re-Identification 100%
  • Reidentification 100%
  • Recurrent Neural Network 100%
  • Tracking Area 100%
  • Links 33%
  22 Citations (Scopus)

  1205 Downloads (Pure)
• 2016

  Largest Matching Areas for Illumination and Occlusion Robust Face Recognition

  McLaughlin, N., Ji, M. & Crookes, D., 29 Feb 2016, (Early online date) In: IEEE Transactions on Cybernetics. 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Training Image 100%
  • Face Recognition 100%
  • Database 50%
  • Normalization 25%
  • Training Data 25%
  50 Citations (Scopus)

  892 Downloads (Pure)

• Recurrent Convolutional Network for Video-based Person Re-Identification

  McLaughlin, N., Martinez del Rincon, J. & Miller, P., 12 Dec 2016, Proceedings of the IEEE conference on computer vision and pattern recognition CVPR 2016. Institute of Electrical and Electronics Engineers Inc., 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Person Re-Identification 100%
  • Reidentification 100%
  • Convolutional Network 100%
  • Video Sequences 33%
  • Network Architecture 33%
  559 Citations (Scopus)

  3628 Downloads (Pure)
• 2015

  Data-Augmentation for Reducing Dataset Bias in Person Re-identification

  McLaughlin, N., Martinez del Rincon, J. & Miller, P., Aug 2015, Proceedings of 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). Institute of Electrical and Electronics Engineers Inc., 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Person Re-Identification 100%
  • Data Augmentation 100%
  • Background Image 50%
  • Reidentification 50%
  • Convolutional Network 25%
  87 Citations (Scopus)

  1871 Downloads (Pure)

• Dense Multiperson Tracking with Robust Hierarchical Linear Assignment

  McLaughlin, N., Martinez-del-Rincon, J. & Miller, P., Jul 2015, In: IEEE Transactions on Cybernetics. 45, 7, p. 1276-1288 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Links 100%
  • Detection 100%
  • Algorithms 50%
  • Tracking System 50%
  • Linking 50%
  2 Citations (Scopus)

  429 Downloads (Pure)

• Enhancing Linear Programming with Motion Modeling for Multi-target Tracking

  McLaughlin, N., Martinez Del Rincon, J. & Miller, P., 06 Jan 2015, 2015 IEEE Winter Conference on Applications of Computer Vision (WACV). Institute of Electrical and Electronics Engineers Inc., p. 71-77 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Detection 100%
  • System Analysis 100%
  • Linear Programming 100%
  • Current-State 50%
  • Motion Model 50%
  46 Citations (Scopus)

  939 Downloads (Pure)
• 2013

  Online Multiperson Tracking With Occlusion Reasoning and Unsupervised Track Motion Model

  McLaughlin, N., Martinez-del-Rincon, J. & Miller, P., Aug 2013, Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance. p. 37-42 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  File

  • Detection 100%
  • Linking 100%
  • Motion Model 100%
  • Tracking Algorithm 50%
  • Explicit Knowledge 50%
  9 Citations (Scopus)

  541 Downloads (Pure)

• Robust Multimodal Person Identification With Limited Training Data

  McLaughlin, N., Ji, M. & Crookes, D., Mar 2013, In: IEEE Transactions on Human Machine Systems. 43, 2, p. 214 - 224 11 p., 6461532.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • facial image 100%
  16 Citations (Scopus)

  353 Downloads (Pure)
• 2011

  Robust bimodal person identification using face and speech with limited training data and corruption of both modalities

  McLaughlin, N., Ji, M. & Crookes, D., 01 Jan 2011, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. p. 585-588 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Identification 100%
  • Training Data 100%
  • Person 100%
  • Procedures 66%
  • Database 33%
  3 Citations (Scopus)

  101 Downloads (Pure)

• Speaker Recognition In Noisy Conditions With Limited Training Data

  McLaughlin, N., Ji, M. & Crookes, D., Sept 2011, p. 1294-1298. 5 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Training Data 100%
  • Speaker Recognition 100%
  • Noisy Condition 100%
  • Models 100%
  • Background Noise 50%
  7 Citations (Scopus)

  91 Downloads (Pure)