An Overview of Iris and Retina Scans and their Fusion in a Biometric System. - Michael Sadowitz; Shahram Latifi; David J. Walker (IPCV, 2008)

An iris and retina multimodal biometric system. - Michael Sadowitz; Shahram Latifi; David J. Walker (Int. J. Secur. Networks, 2008)

Visualisation and ordering of many-objective populations. - David J. Walker; Richard M. Everson; Jonathan E. Fieldsend (IEEE Congress on Evolutionary Computation, 2010)

Reliability Analysis of Climate Change Data Portals for Nevada. - David J. Walker; Shahram Latifi (SEDE, 2010)

Improving bounds on link failure tolerance of the star graph. - David J. Walker; Shahram Latifi (Inf. Sci., 2010)

Rank-based dimension reduction for many-criteria populations. - David J. Walker; Richard M. Everson; Jonathan E. Fieldsend (GECCO (Companion), 2011)

Partial iris and recognition as a viable biometric scheme. - David J. Walker; Shahram Latifi (Int. J. Secur. Networks, 2011)

The lay of the land: a brief survey of problem understanding. - Kent McClymont; David J. Walker; Max Dupenois (GECCO (Companion), 2012)

Visualising many-objective populations. - David J. Walker; Jonathan E. Fieldsend; Richard M. Everson (GECCO (Companion), 2012)

Ordering and visualisation of many-objective populations. - David J. Walker (2012)

Edges of mutually non-dominating sets. - Richard M. Everson; David J. Walker; Jonathan E. Fieldsend (GECCO, 2013)

Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization. - David J. Walker; Richard M. Everson; Jonathan E. Fieldsend (IEEE Trans. Evol. Comput., 2013)

Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets. - Richard M. Everson; David J. Walker; Jonathan E. Fieldsend (Evol. Comput., 2014)

Visualising Multi-objective Populations with Treemaps. - David J. Walker (GECCO (Companion), 2015)

Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. - David J. Walker; Jonathan E. Fieldsend; Richard M. Everson (GECCO (Companion), 2016)

Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic. - David J. Walker; Ed Keedwell (GECCO (Companion), 2016)

Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators. - David J. Walker; Ed Keedwell (PPSN, 2016)

Toward the Online Visualisation of Algorithm Performance for Parameter Selection. - David J. Walker; Matthew J. Craven (EvoApplications, 2018)

Visualisation with treemaps and sunbursts in many-objective optimisation. - David J. Walker (Genet. Program. Evolvable Mach., 2018)

Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation. - Matthew Barrie Johns; Herman A. Mahmoud; David J. Walker; Nicholas D. F. Ross; Edward C. Keedwell; Dragan A. Savic (GECCO, 2019)

Using Burstiness for Network Applications Classification. - Hussein Oudah; Bogdan V. Ghita; Taimur Bakhshi; Abdulrahman Alruban; David J. Walker (J. Comput. Networks Commun., 2019)

Visualising Evolution History in Multi- and Many-objective Optimisation. - Mathew J. Walter; David J. Walker; Matthew J. Craven (PPSN (2), 2020)

Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach. - David J. Walker; Matthew J. Craven (Appl. Soft Comput., 2020)

Many-objective population visualisation with geons. - Marius N. Varga; Swen E. Gaudl; David J. Walker (GECCO Companion, 2021)

Unsupervised Machine Learning-Based Elephant and Mice Flow Identification. - Muna Al-Saadi; Asiya Khan; Vasilios I. Kelefouras; David J. Walker; Bushra Al-Saadi (SAI (2), 2021)

Towards a Digital Twin of a Complex Maritime Site for Multi-Objective Optimization. - Joseph A. J. Ross; Kimberly Tam; David J. Walker; Kevin D. Jones (CyCom, 2022)

An explainable visualisation of the evolutionary search process. - Mathew J. Walter; David J. Walker; Matthew J. Craven (GECCO Companion, 2022)

A computational method to track the evolution of business models in the Digital Economy. - Zena Wood; David Walker 003; Glenn C. Parry (HICSS, 2022)

Visualizing Population Dynamics to Examine Algorithm Performance. - Mathew J. Walter; David J. Walker; Matthew J. Craven (IEEE Trans. Evol. Comput., 2022)

Extrema Graphs: Fitness Landscape Analysis to the Extreme! - Sophie Sadler; Alma A. M. Rahat; David Walker 003; Daniel Archambault (GECCO Companion, 2023)

Identification of Cotton Leaf Curl Disease Using CNN and Vision Transformer. - Goel Biju; Asiya Khan; David Walker 003; Salman Qadri; Qaim Hssan; Khalid Mahmood 002; Abdul Hanan (IntelliSys (2), 2023)

SDN-Based Routing Framework for Elephant and Mice Flows Using Unsupervised Machine Learning. - Muna Al-Saadi; Asiya Khan; Vasilios I. Kelefouras; David J. Walker; Bushra Al-Saadi (Network, 2023)

Energy-Efficient Placement of Virtual Network Functions in a Wireless Mesh Network. - Auberlin Paguem Tchinda; Besfort Shala; Armin Lehmann; Bogdan Ghita 003; David Walker 003; Ulrich Trick (IEEE Access, 2024)

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. - Ryan Zhou; Jaume Bacardit; Alexander E. I. Brownlee; Stefano Cagnoni; Martin Fyvie; Giovanni Iacca; John A. W. McCall; Niki van Stein; David Walker 003; Ting Hu 001 (CoRR, 2024)

Introduction to the Special Issue on Explainable AI in Evolutionary Computation. - Jaume Bacardit; Alexander E. I. Brownlee; Stefano Cagnoni; Giovanni Iacca; John A. W. McCall; David J. Walker (ACM Trans. Evol. Learn. Optim., 2024)

Many-objective optimisation of offshore wind farms. - Pawel L. Manikowski; Matthew J. Craven; David J. Walker (Appl. Soft Comput., 2025)

Introduction to the Special Issue on Explainable AI in Evolutionary Computation - Part 2. - Jaume Bacardit; Alexander E. I. Brownlee; Stefano Cagnoni; Giovanni Iacca; John McCall 001; David Walker 003 (ACM Trans. Evol. Learn. Optim., 2025)