Multi-modal person verification system based on face profiles and speech. - Conrad Sanderson; Kuldip K. Paliwal (ISSPA, 1999)

Joint Cohort Normalization in a Multi-Feature Speaker Verification System. - Conrad Sanderson; Kuldip K. Paliwal (FUZZ-IEEE, 2001)

Noise compensation in a multi-modal verification system. - Conrad Sanderson; Kuldip K. Paliwal (ICASSP, 2001)

Information fusion for robust speaker verification. - Conrad Sanderson; Kuldip K. Paliwal (INTERSPEECH, 2001)

Likelihood normalization for face authentication in variable recording conditions. - Kuldip K. Paliwal; Conrad Sanderson (ICIP (1), 2002)

Polynomial features for robust face authentication. - Conrad Sanderson; Kuldip K. Paliwal (ICIP (3), 2002)

Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS. - Fabien Cardinaux; Conrad Sanderson; Sébastien Marcel (AVBPA, 2003)

Face Verification Competition on the XM2VTS Database. - Kieron Messer; Josef Kittler; Mohammad Sadeghi 001; Sébastien Marcel; Christine Marcel; Samy Bengio; Fabien Cardinaux; Conrad Sanderson; Jacek Czyz; Luc Vandendorpe; Sanun Srisuk; Maria Petrou; et al. (AVBPA, 2003)

Robust Features for Frontal Face Authentication in Difficult Image Conditions. - Conrad Sanderson; Samy Bengio (AVBPA, 2003)

Noise resistant audio-visual verification via structural constraints. - Conrad Sanderson; Kuldip K. Paliwal (ICASSP (5), 2003)

Speech & face based biometric authentication at IDIAP. - Conrad Sanderson; Samy Bengio; Hervé Bourlard; Johnny Mariéthoz; Ronan Collobert; Mohamed Faouzi BenZeghiba; Fabien Cardinaux; Sébastien Marcel (ICME, 2003)

Noise compensation in a person verification system using face and multiple speech feature. - Conrad Sanderson; Kuldip K. Paliwal (Pattern Recognit., 2003)

Structurally noise resistant classifier for multi-modal person verification. - Conrad Sanderson; Kuldip K. Paliwal (Pattern Recognit. Lett., 2003)

Fast features for face authentication under illumination direction changes. - Conrad Sanderson; Kuldip K. Paliwal (Pattern Recognit. Lett., 2003)

Features for robust face-based identity verification. - Conrad Sanderson; Kuldip K. Paliwal (Signal Process., 2003)

Face Verification Using Adapted Generative Models. - Fabien Cardinaux; Conrad Sanderson; Samy Bengio (FGR, 2004)

Face Authentication Competition on the BANCA Database. - Kieron Messer; Josef Kittler; Mohammad Sadeghi 001; Miroslav Hamouz; Alexey Kostin; Sébastien Marcel; Samy Bengio; Fabien Cardinaux; Conrad Sanderson; Norman Poh; Yann Rodriguez; Krzysztof Kryszczuk; et al. (ICBA, 2004)

Spectral Subband Centroids as Complementary Features for Speaker Authentication. - Norman Poh Hoon Thian; Conrad Sanderson; Samy Bengio (ICBA, 2004)

Statistical transformations of frontal models for non-frontal face verification. - Conrad Sanderson; Samy Bengio (ICIP, 2004)

Face Authentication Test on the BANCA Database. - Kieron Messer; Josef Kittler; Mohammad Sadeghi 001; Miroslav Hamouz; Alexey Kostin; Fabien Cardinaux; Sébastien Marcel; Samy Bengio; Conrad Sanderson; Jacek Czyz; Luc Vandendorpe; Chris McCool; et al. (ICPR (4), 2004)

Identity verification using speech and face information. - Conrad Sanderson; Kuldip K. Paliwal (Digit. Signal Process., 2004)

On Accuracy/Robustness/Complexity Trade-Offs in Face Verification. - Conrad Sanderson; Fabien Cardinaux; Samy Bengio (ICITA (1), 2005)

On Local Features for GMM Based Face Verification. - Conrad Sanderson; Marc Saban; Yongsheng Gao 001 (ICITA (1), 2005)

An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics. - Justin Bedo; Conrad Sanderson; Adam Kowalczyk (Australian Conference on Artificial Intelligence, 2006)

Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation. - Conrad Sanderson; Simon Günter (EMNLP, 2006)

On Authorship Attribution via Markov Chains and Sequence Kernels. - Conrad Sanderson; Simon Günter (ICPR (3), 2006)

On transforming statistical models for non-frontal face verification. - Conrad Sanderson; Samy Bengio; Yongsheng Gao 001 (Pattern Recognit., 2006)

User authentication via adapted statistical models of face images. - Fabien Cardinaux; Conrad Sanderson; Samy Bengio (IEEE Trans. Signal Process., 2006)

Towards Pose-Invariant 2D Face Classification for Surveillance. - Conrad Sanderson; Ting Shan; Brian C. Lovell (AMFG, 2007)

Classifying and tracking multiple persons for proactive surveillance of mass transport systems. - Suyu Kong; Conrad Sanderson; Brian C. Lovell (AVSS, 2007)

Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image. - Ting Shan; Shaokang Chen; Conrad Sanderson; Brian C. Lovell (AVSS, 2007)

Experimental Analysis of Face Recognition on Still and CCTV Images. - Shaokang Chen; Erik Berglund 002; Abbas Bigdeli; Conrad Sanderson; Brian C. Lovell (AVSS, 2008)

On intelligent surveillance systems and face recognition for mass transport security. - Brian C. Lovell; Shaokang Chen; Abbas Bigdeli; Erik Berglund 002; Conrad Sanderson (ICARCV, 2008)

Representative feature chain for single gallery image face recognition. - Shaokang Chen; Conrad Sanderson; Sai Sun; Brian C. Lovell (ICPR, 2008)

Tracking of persons for video surveillance of unattended environments. - Suyu Kong; Manas Kamal Bhuyan; Conrad Sanderson; Brian C. Lovell (ICPR, 2008)

On statistical approaches to target silhouette classification in difficult conditions. - Conrad Sanderson; Danny Gibbins; Stephen J. Searle (Digit. Signal Process., 2008)

Learning-based Face Synthesis for Pose-Robust Recognition from Single Image. - Akshay Asthana; Conrad Sanderson; Tamás D. Gedeon; Roland Göcke (BMVC, 2009)

Regression Based Non-frontal Face Synthesis for Improved Identity Verification. - Yongkang Wong; Conrad Sanderson; Brian C. Lovell (CAIP, 2009)

Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference. - Conrad Sanderson; Brian C. Lovell (ICB, 2009)

An efficient background estimation algorithm for embedded smart cameras. - Vikas Reddy; Conrad Sanderson; Brian C. Lovell; Abbas Bigdeli (ICDSC, 2009)

An efficient and robust sequential algorithm for background estimation in video surveillance. - Vikas Reddy; Conrad Sanderson; Brian C. Lovell (ICIP, 2009)

Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing. - Conrad Sanderson; Abbas Bigdeli; Ting Shan; Shaokang Chen; Erik Berglund 002; Brian C. Lovell (Progress in Computer Vision and Image Analysis, 2009)

MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos. - Vikas Reddy; Conrad Sanderson; Andres Sanin; Brian C. Lovell (ACCV (3), 2010)

Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking. - Vikas Reddy; Conrad Sanderson; Andres Sanin; Brian C. Lovell (AVSS, 2010)

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. - Sébastien Marcel; Chris McCool; Pavel Matejka; Timo Ahonen; Jan Cernocký; Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan; Chi-Ho Chan; Josef Kittler; Norman Poh; Benoit G. B. Fauve; et al. (ICPR Contests, 2010)

Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling. - Vikas Reddy; Conrad Sanderson; Brian C. Lovell (ICPR, 2010)

Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios. - Andres Sanin; Conrad Sanderson; Brian C. Lovell (ICPR, 2010)

Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference. - Yongkang Wong; Conrad Sanderson; Sandra Mau; Brian C. Lovell (ICPR, 2010)

Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Sareh Abolahrari Shirazi; Brian C. Lovell (CVPR, 2011)

Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture. - Vikas Reddy; Conrad Sanderson; Brian C. Lovell (CVPR Workshops, 2011)

Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition. - Yongkang Wong; Shaokang Chen; Sandra Mau; Conrad Sanderson; Brian C. Lovell (CVPR Workshops, 2011)

Summarisation of surveillance videos by key-frame selection. - Yan Yang; Farhad Dadgostar; Conrad Sanderson; Brian C. Lovell (ICDSC, 2011)

Ensemble of furthest subspace pairs for enhanced image set matching. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Abbas Bigdeli; Brian C. Lovell (ICIP, 2011)

Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework. - Shaokang Chen; Sandra Mau; Mehrtash Tafazzoli Harandi; Conrad Sanderson; Abbas Bigdeli; Brian C. Lovell (EURASIP J. Image Video Process., 2011)

A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts. - Vikas Reddy; Conrad Sanderson; Brian C. Lovell (EURASIP J. Image Video Process., 2011)

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. - Conrad Sanderson; Mehrtash Tafazzoli Harandi; Yongkang Wong; Brian C. Lovell (AVSS, 2012)

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Richard I. Hartley; Brian C. Lovell (ECCV (2), 2012)

K-tangent spaces on Riemannian manifolds for improved pedestrian detection. - Andres Sanin; Conrad Sanderson; Mehrtash Tafazzoli Harandi; Brian C. Lovell (ICIP, 2012)

Clustering on Grassmann manifolds via kernel embedding with application to action analysis. - Sareh Abolahrari Shirazi; Mehrtash Tafazzoli Harandi; Conrad Sanderson; Azadeh Alavi; Brian C. Lovell (ICIP, 2012)

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches. - Yongkang Wong; Mehrtash Tafazzoli Harandi; Conrad Sanderson; Brian C. Lovell (IJCNN, 2012)

Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Arnold Wiliem; Brian C. Lovell (WACV, 2012)

Shadow detection: A survey and comparative evaluation of recent methods. - Andres Sanin; Conrad Sanderson; Brian C. Lovell (Pattern Recognit., 2012)

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces. - Shaokang Chen; Conrad Sanderson; Mehrtash Tafazzoli Harandi; Brian C. Lovell (CVPR, 2013)

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Chunhua Shen; Brian C. Lovell (ICCV, 2013)

Multi-shot person re-identification via relational Stein divergence. - Azadeh Alavi; Yan Yang; Mehrtash Tafazzoli Harandi; Conrad Sanderson (ICIP, 2013)

Relational divergence based classification on Riemannian manifolds. - Azadeh Alavi; Mehrtash Tafazzoli Harandi; Conrad Sanderson (WACV, 2013)

Spatio-temporal covariance descriptors for action and gesture recognition. - Andres Sanin; Conrad Sanderson; Mehrtash Tafazzoli Harandi; Brian C. Lovell (WACV, 2013)

Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors. - Arnold Wiliem; Yongkang Wong; Conrad Sanderson; Peter Hobson; Shaokang Chen; Brian C. Lovell (WACV, 2013)

On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly - Yongkang Wong; Mehrtash Tafazzoli Harandi; Conrad Sanderson (CoRR, 2013)

Video Face Matching using Subset Selection and Clustering of Probabilistic Multi-Region Histograms - Sandra Mau; Shaokang Chen; Conrad Sanderson; Brian C. Lovell (CoRR, 2013)

Kernel analysis on Grassmann manifolds for action recognition. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Sareh Abolahrari Shirazi; Brian C. Lovell (Pattern Recognit. Lett., 2013)

Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration. - Vikas Reddy; Conrad Sanderson; Brian C. Lovell (IEEE Trans. Circuits Syst. Video Technol., 2013)

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. - Johanna Carvajal; Conrad Sanderson; Chris McCool; Brian C. Lovell (MLSDA@PRICAI, 2014)

Random projections on manifolds of Symmetric Positive Definite matrices for image classification. - Azadeh Alavi; Arnold Wiliem; Kun Zhao 001; Brian C. Lovell; Conrad Sanderson (WACV, 2014)

Summarisation of short-term and long-term videos using texture and colour. - Johanna Carvajal; Chris McCool; Conrad Sanderson (WACV, 2014)

Matching image sets via adaptive multi convex hull. - Shaokang Chen; Arnold Wiliem; Conrad Sanderson; Brian C. Lovell (WACV, 2014)

Object tracking via non-Euclidean geometry: A Grassmann approach. - Sareh Abolahrari Shirazi; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Conrad Sanderson (WACV, 2014)

Improved Object Tracking via Bags of Affine Subspaces. - Sareh Abolahrari Shirazi; Conrad Sanderson; Chris McCool; Mehrtash Tafazzoli Harandi (CoRR, 2014)

RcppArmadillo: Accelerating R with high-performance C++ linear algebra. - Dirk Eddelbuettel; Conrad Sanderson (Comput. Stat. Data Anal., 2014)

On robust face recognition via sparse coding: the good, the bad and the ugly. - Yongkang Wong; Mehrtash Tafazzoli Harandi; Conrad Sanderson (IET Biom., 2014)

Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching. - Arnold Wiliem; Conrad Sanderson; Yongkang Wong; Peter Hobson; Rodney F. Minchin; Brian C. Lovell (Pattern Recognit., 2014)

Content Specific Feature Learning for Fine-Grained Plant Classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peter Corke (CLEF (Working Notes), 2015)

Subset feature learning for fine-grained category classification. - ZongYuan Ge; Christopher McCool; Conrad Sanderson; Peter I. Corke (CVPR Workshops, 2015)

Bags of Affine Subspaces for Robust Object Tracking. - Sareh Abolahrari Shirazi; Conrad Sanderson; Chris McCool; Mehrtash Tafazzoli Harandi (DICTA, 2015)

Fine-grained bird species recognition via hierarchical subset learning. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Alex Bewley; Zetao Chen; Peter I. Corke (ICIP, 2015)

Modelling local deep convolutional neural network features to improve fine-grained image classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peter Corke (ICIP, 2015)

Log-Euclidean bag of words for human action recognition. - Masoud Faraki; Maziar Palhang; Conrad Sanderson (IET Comput. Vis., 2015)

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. - Mehrtash Tafazzoli Harandi; Richard I. Hartley; Chunhua Shen; Brian C. Lovell; Conrad Sanderson (Int. J. Comput. Vis., 2015)

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peng Wang 023; Lingqiao Liu; Ian D. Reid 001; Peter I. Corke (DICTA, 2016)

Towards Miss Universe automatic prediction: The evening gown competition. - Johanna Carvajal; Arnold Wiliem; Conrad Sanderson; Brian C. Lovell (ICPR, 2016)

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. - Johanna Carvajal; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. - Johanna Carvajal; Arnold Wiliem; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Fine-grained classification via mixture of deep convolutional neural networks. - ZongYuan Ge; Alex Bewley; Christopher McCool; Peter I. Corke; Ben Upcroft; Conrad Sanderson (WACV, 2016)

Armadillo: a template-based C++ library for linear algebra. - Conrad Sanderson; Ryan R. Curtin (J. Open Source Softw., 2016)

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. - Mehrtash Tafazzoli Harandi; Richard I. Hartley; Brian C. Lovell; Conrad Sanderson (IEEE Trans. Neural Networks Learn. Syst., 2016)

An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. - Conrad Sanderson; Ryan R. Curtin (ICSPCS, 2017)

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation. - Conrad Sanderson; Ryan R. Curtin (J. Open Source Softw., 2017)

Diversified Late Acceptance Search. - Majid Namazi; Conrad Sanderson; M. A. Hakim Newton; Md. Masbaul Alam Polash; Abdul Sattar 001 (Australasian Conference on Artificial Intelligence, 2018)

A User-Friendly Hybrid Sparse Matrix Class in C++. - Conrad Sanderson; Ryan R. Curtin (ICMS, 2018)

ensmallen: a flexible C++ library for efficient function optimization. - Shikhar Bhardwaj; Ryan R. Curtin; Marcus Edel; Yannis Mentekidis; Conrad Sanderson (CoRR, 2018)

User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation. - Conrad Sanderson; Ryan R. Curtin (CoRR, 2018)

A Profit Guided Coordination Heuristic for Travelling Thief Problems. - Majid Namazi; M. A. Hakim Newton; Abdul Sattar 001; Conrad Sanderson (SOCS, 2019)

A Cooperative Coordination Solver for Travelling Thief Problems. - Majid Namazi; Conrad Sanderson; M. A. Hakim Newton; Abdul Sattar 001 (CoRR, 2019)

An Adaptive Solver for Systems of Linear Equations. - Conrad Sanderson; Ryan R. Curtin (ICSPCS, 2020)

Surrogate Assisted Optimisation for Travelling Thief Problems. - Majid Namazi; Conrad Sanderson; M. A. Hakim Newton; Abdul Sattar 001 (SOCS, 2020)

Flexible numerical optimization with ensmallen. - Ryan R. Curtin; Marcus Edel; Rahul Ganesh Prabhu; Suryoday Basak; Zhihao Lou; Conrad Sanderson (CoRR, 2020)

UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments. - Juan Sandino; Fernando Vanegas; Frédéric Maire; Peter Caccetta; Conrad Sanderson; Felipe Gonzalez (Remote. Sens., 2020)

A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments. - Xiaolong Zhu; Fernando Vanegas; Felipe Gonzalez; Conrad Sanderson (CoRR, 2021)

Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning. - Conrad Sanderson; Daniel Edward Pagendam; Brendan Power; Frederick Bennett; Ross Darnell (CoRR, 2021)

AI Ethics Principles in Practice: Perspectives of Designers and Developers. - Conrad Sanderson; David Douglas; Qinghua Lu 001; Emma Schleiger; Jon Whittle 001; Justine Lacey; Glenn J. Newnham; Stefan Hajkowicz; Cathy Robinson; David Hansen (CoRR, 2021)

The ensmallen library for flexible numerical optimization. - Ryan R. Curtin; Marcus Edel; Rahul Ganesh Prabhu; Suryoday Basak; Zhihao Lou; Conrad Sanderson (J. Mach. Learn. Res., 2021)

PyArmadillo: a streamlined linear algebra library for Python. - Jason Rumengan; Terry Yue Zhuo; Conrad Sanderson (J. Open Source Softw., 2021)

Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty. - Juan Sandino; Frédéric Maire; Peter Caccetta; Conrad Sanderson; Felipe Gonzalez (Remote. Sens., 2021)

Towards Implementing Responsible AI. - Conrad Sanderson; Qinghua Lu 001; David Douglas; Xiwei Xu 001; Liming Zhu 001; Jon Whittle 001 (IEEE Big Data, 2022)

Software engineering for Responsible AI: An empirical study and operationalised patterns. - Qinghua Lu 001; Liming Zhu 001; Xiwei Xu 001; Jon Whittle 001; David Douglas; Conrad Sanderson (ICSE (SEIP), 2022)

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. - Andrew Bolt; Carolyn Huston; Petra Kuhnert; Joel Janek Dabrowski; James Hilton 001; Conrad Sanderson (SPA, 2022)

Towards Operationalising Responsible AI: An Empirical Study. - Conrad Sanderson; Qinghua Lu 001; David Douglas; Xiwei Xu 001; Liming Zhu 001; Jon Whittle 001 (CoRR, 2022)

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. - Joel Janek Dabrowski; Daniel Edward Pagendam; James Hilton 001; Conrad Sanderson; Daniel MacKinlay; Carolyn Huston; Andrew Bolt; Petra Kuhnert (CoRR, 2022)

Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. - Conrad Sanderson; David Douglas; Qinghua Lu 001 (IJCNN, 2023)

A Neural Emulator for Uncertainty Estimation of Fire Propagation. - Andrew Bolt; Conrad Sanderson; Joel Janek Dabrowski; Carolyn Huston; Petra Kuhnert (INNS DLIA@IJCNN, 2023)

Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021. - Stefan Hajkowicz; Conrad Sanderson; Sarvnaz Karimi; Alexandra Bratanova; Claire K. Naughtin (CoRR, 2023)

Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing. - Ryan R. Curtin; Marcus Edel; Conrad Sanderson (CoRR, 2023)

Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance. - Juan Sandino; Peter A. Caccetta; Conrad Sanderson; Frédéric Maire; Felipe Gonzalez (CoRR, 2023)

mlpack 4: a fast, header-only C++ machine learning library. - Ryan R. Curtin; Marcus Edel; Omar Shrit; Shubham Agrawal; Suryoday Basak; James Joseph Balamuta; Ryan Birmingham; Kartik Dutt; Dirk Eddelbuettel; Rishabh Garg; Shikhar Jaiswal; Aakash Kaushik; et al. (J. Open Source Softw., 2023)

Solving travelling thief problems using coordination based methods. - Majid Namazi; M. A. Hakim Newton; Conrad Sanderson; Abdul Sattar 001 (J. Heuristics, 2023)

Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation. - Ben Harwood; Amir Dezfouli; Iadine Chades; Conrad Sanderson (AI (2), 2024)

Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs. - Sevvandi Kandanaarachchi; Conrad Sanderson; Rob J. Hyndman (ISCMI, 2024)

Resolving Ethics Trade-offs in Implementing Responsible AI. - Conrad Sanderson; Emma Schleiger; David Douglas; Petra Kuhnert; Qinghua Lu 001 (CoRR, 2024)

Armadillo: an Efficient Framework for Numerical Linear Algebra. - Conrad Sanderson; Ryan R. Curtin (ICCAE, 2025)

Predicting Graph Structure via Adapted Flux Balance Analysis. - Sevvandi Kandanaarachchi; Ziqi Xu; Stefan Westerlund; Conrad Sanderson (CoRR, 2025)

Bandicoot: A Templated C++ Library for GPU Linear Algebra. - Ryan R. Curtin; Marcus Edel; Conrad Sanderson (CoRR, 2025)