The Partial Evaluation of Imperative Programs Using Prolog. - Brian J. Ross (META, 1988)

Using Algebraic Semantics for Proving Prolog termination and Transformation. - Brian J. Ross (ALPUK, 1991)

A Semantic Approach to Prolog Program Analysis. - Brian J. Ross (ICLP Workshop on Construction of Logic Programs, 1991)

An Algebraic Semantics of Prolog Program Termination. - Brian J. Ross; Alan Smaill (ICLP, 1991)

Semantics-based Partial Evaluation of Prolog Programs. - Brian J. Ross (LOPSTR, 1991)

A π-calculus Semantics of Logical Variables and Unification. - Brian J. Ross (NAPAW, 1992)

An algebraic semantics of Prolog control. - Brian J. Ross (1992)

The Inductive Inference of Cyclic Synchronized Interleaving. - Brian J. Ross (ECAI, 1994)

A Process Algebra for Stochastic Music Composition. - Brian J. Ross (ICMC, 1995)

A Symbiosis of Animation and Music. - Robert Pringle; Brian J. Ross (ICMC, 1996)

Running Programs Backwards: The Logical Inversion of Imperative Computation. - Brian J. Ross (Formal Aspects Comput., 1997)

The Evolution of Concurrent Programs. - Brian J. Ross (Appl. Intell., 1998)

The Effects of Randomly Sampled Training Data on Program Evolution. - Brian J. Ross (GECCO, 2000)

Edge Dection of Petrographic Image Using Genetic Programming. - Brian J. Ross; Frank Fueten; Dmytro Y. Yashkir (GECCO, 2000)

Probabilistic Pattern Matching and the Evolution of Stochastic Regular Expressions. - Brian J. Ross (Appl. Intell., 2000)

Automatic mineral identification using genetic programming. - Brian J. Ross; Frank Fueten; Dmytro Y. Yashkir (Mach. Vis. Appl., 2001)

Logic-based Genetic Programming with Definite Clause Translation Grammars. - Brian J. Ross (New Gener. Comput., 2001)

Gentropy: evolving 2D textures. - Andrea L. Wiens; Brian J. Ross (Comput. Graph., 2002)

The Evolution of Stochastic Regular Motifs for Protein Sequences. - Brian J. Ross (New Gener. Comput., 2002)

Procedural 3D texture synthesis using genetic programming. - Adam Hewgill; Brian J. Ross (Comput. Graph., 2004)

Procedural Texture Evolution Using Multi-objective Optimization. - Brian J. Ross; Han Zhu (New Gener. Comput., 2004)

Hyperspectral image analysis using genetic programming. - Brian J. Ross; Anthony G. Gualtieri; Frank Fueten; Paul Budkewitsch (Appl. Soft Comput., 2005)

Evolutionary Image Synthesis Using a Model of Aesthetics. - Brian J. Ross; William Ralph; Hai Zong (IEEE Congress on Evolutionary Computation, 2006)

Evolving dynamic Bayesian networks with Multi-objective genetic algorithms. - Brian J. Ross; Eduardo Zuviria (Appl. Intell., 2007)

Using feature-based fitness evaluation in symbolic regression with added noise. - Janine H. Imada; Brian J. Ross (GECCO (Companion), 2008)

The Evolution of Artistic Filters. - Craig Neufeld; Brian J. Ross; William Ralph (The Art of Artificial Evolution, 2008)

Evolving stochastic processes using feature tests and genetic programming. - Brian J. Ross; Janine H. Imada (GECCO, 2009)

User-Guided Evolution Of Granular Synthesis. - Corrado Coia; Brian J. Ross (ICMC, 2010)

Automatic evolution of conceptual building architectures. - Corrado Coia; Brian J. Ross (IEEE Congress on Evolutionary Computation, 2011)

Evolution of stochastic bio-networks using summed rank strategies. - Brian J. Ross (IEEE Congress on Evolutionary Computation, 2011)

Evolution of Architectural Floor Plans. - Robert W. J. Flack; Brian J. Ross (EvoApplications (2), 2011)

Evolutionary Synthesis of Stochastic Gene Network Models Using Feature-based Search Spaces. - Janine H. Imada; Brian J. Ross (New Gener. Comput., 2011)

Evolutionary approaches to the generation of optimal error correcting codes. - Daniel E. McCarney; Sheridan K. Houghten; Brian J. Ross (GECCO, 2012)

The evolution of higher-level biochemical reaction models. - Brian J. Ross (Genet. Program. Evolvable Mach., 2012)

Automatic and interactive evolution of vector graphics images with genetic algorithms. - Steven Bergen; Brian J. Ross (Vis. Comput., 2012)

Generative representations for artificial architecture and passive solar performance. - Adrian Harrington; Brian J. Ross (IEEE Congress on Evolutionary Computation, 2013)

Aesthetic 3D model evolution. - Steven Bergen; Brian J. Ross (Genet. Program. Evolvable Mach., 2013)

A comparison of genetic programming feature extraction languages for image classification. - Mehran Maghoumi; Brian J. Ross (CIMSIVP, 2014)

Virtual photography using multi-objective particle swarm optimization. - William Barry; Brian J. Ross (GECCO, 2014)

Passive solar building design using genetic programming. - Mohammad M. O. Gholami; Brian J. Ross (GECCO, 2014)

Using multi-objective genetic programming to evolve stochastic logic gate circuits. - Brian J. Ross (CIBCB, 2015)

Interior Illumination Design Using Genetic Programming. - Kelly Moylan; Brian J. Ross (EvoMUSART, 2015)

Exploring non-photorealistic rendering with genetic programming. - Maryam Baniasadi; Brian J. Ross (Genet. Program. Evolvable Mach., 2015)

Feature selection and classification using age layered population structure genetic programming. - Anthony Awuley; Brian J. Ross (CEC, 2016)

Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units. - Illya Bakurov; Brian J. Ross (EvoMUSART, 2018)

A Comparison of Knee Strategies for Hierarchical Spatial Clustering. - Brian J. Ross (IEA/AIE, 2018)

Deep Learning Concepts for Evolutionary Art. - Fazle Tanjil; Brian J. Ross (EvoMUSART, 2019)

Image Evolution Using 2D Power Spectra. - Michael Gircys; Brian J. Ross (Complex., 2019)

Age-Layered Strategies for Many-Objective Optimization. - Arpi Sen Gupta; Brian J. Ross (SMC, 2020)

Deep Neural Network Guided Evolution of L-System Trees. - Xuhao Eric Chen; Brian J. Ross (CEC, 2021)

Managing Diversity and Many Objectives in Evolutionary Design. - Sheikh Faishal Basher; Brian J. Ross (CEC, 2022)

Mixed Media in Evolutionary Art. - Jordan Maslen; Brian J. Ross (CEC, 2022)

Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains. - Tyler Cowan; Brian J. Ross (EvoApplications@EvoStar, 2024)

Using Evolution and Deep Learning to Generate Diverse Intelligent Agents. - Marshall Joseph; Brian J. Ross (EvoApplications@EvoStar, 2024)