The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural Networks. - Marcus Frean (Neural Comput., 1990)

Small nets and short paths : optimising neural computation. - Marcus R. Frean (1990)

A "Thermal" Perceptron Learning Rule. - Marcus R. Frean (Neural Comput., 1992)

Learning and Generalisation in a Stable Network. - Anthony V. Robins; Marcus R. Frean (ICONIP (1), 1997)

Local Learning Algorithms for Sequential Tasks in Neural Networks. - Anthony V. Robins; Marcus R. Frean (J. Adv. Comput. Intell. Intell. Informatics, 1998)

Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator. - Marcus Gallagher; Marcus R. Frean; Tom Downs (GECCO, 1999)

Boosting Algorithms as Gradient Descent. - Llew Mason; Jonathan Baxter; Peter L. Bartlett; Marcus R. Frean (NIPS, 1999)

A voter model of the spatial prisoner's dilemma. - Marcus R. Frean; Edward R. Abraham (IEEE Trans. Evol. Comput., 2001)

Dependent Gaussian Processes. - Phillip Boyle; Marcus R. Frean (NIPS, 2004)

Neural Networks: A Replacement for Gaussian Processes? - Matthew Lilley; Marcus R. Frean (IDEAL, 2005)

Scale-free geometry in OO programs. - Alex Potanin; James Noble 001; Marcus R. Frean; Robert Biddle (Commun. ACM, 2005)

Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift. - Marcus Gallagher; Marcus R. Frean (Evol. Comput., 2005)

Understanding the shape of Java software. - Gareth Baxter; Marcus R. Frean; James Noble 001; Mark Rickerby; Hayden Smith; Matt Visser; Hayden Melton; Ewan D. Tempero (OOPSLA, 2006)

Using Gaussian Processes to Optimize Expensive Functions. - Marcus R. Frean; Phillip Boyle (Australasian Conference on Artificial Intelligence, 2008)

Software graphs and programmer awareness - Gareth Baxter; Marcus R. Frean (CoRR, 2008)

A meta-heuristic paradigm for solving the forward kinematics of 6-6 general parallel manipulator. - Rohitash Chandra; Marcus R. Frean; Luc Rolland (CIRA, 2009)

An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2010)

A memetic framework for cooperative coevolution of recurrent neural networks. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001 (IJCNN, 2011)

Modularity adaptation in cooperative coevolution of feedforward neural networks. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001 (IJCNN, 2011)

A novel distributed content replication and placement scheme for Wireless Mesh Networks. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (ATNAC, 2011)

Encoding subcomponents in cooperative co-evolutionary recurrent neural networks. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001; Christian W. Omlin (Neurocomputing, 2011)

Gaussian process dynamical models for nonparametric speech representation and synthesis. - Gustav Eje Henter; Marcus R. Frean; W. Bastiaan Kleijn (ICASSP, 2012)

Latent Dirichlet allocation for image segmentation and source finding in radio astronomy images. - Anna Friedlander; Marcus Frean; Melanie Johnston-Hollitt; Christopher Hollitt (IVCNZ, 2012)

MP-DNA: A novel distributed replica placement heuristic for WMNs. - Zakwan Al-Arnaout; Jonathan Hart; Qiang Fu 011; Marcus Frean (LCN, 2012)

A content replication scheme for wireless mesh networks. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (NOSSDAV, 2012)

Crossover-based local search in cooperative co-evolutionary feedforward neural networks. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001 (Appl. Soft Comput., 2012)

On the issue of separability for problem decomposition in cooperative neuro-evolution. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001 (Neurocomputing, 2012)

Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks. - Rohitash Chandra; Marcus R. Frean; Mengjie Zhang 001 (Soft Comput., 2012)

Soft resampling for improved information retention in particle filtering. - Praveen Babu Choppala; Paul D. Teal; Marcus R. Frean (ICASSP, 2013)

Trading off salience and uncertainty in sampling a visual scene. - Arindam Bhakta; Marcus Frean; Christopher Hollitt; Will N. Browne (IVCNZ, 2013)

Link-Quality Aware Object Replication and Placement for Multi-hop Wireless Mesh Networks. - Zakwan Al-Arnaout; Jonathan Hart; Qiang Fu 011; Marcus Frean (MASCOTS, 2013)

Exploiting graph partitioning for hierarchical replica placement in WMNs. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (MSWiM, 2013)

A divide-and-conquer approach for content replication in WMNs. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (Comput. Networks, 2013)

Particle filter parallelisation using random network based resampling. - Praveen Babu Choppala; Paul D. Teal; Marcus R. Frean (FUSION, 2014)

Adapting the multi-Bernoulli filter to phased array observations using MUSIC as pseudo-likelihood. - Praveen Babu Choppala; Paul D. Teal; Marcus R. Frean (FUSION, 2014)

On the placement of web content replicas in WMNs. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (ICC, 2014)

An efficient replica placement heuristic for community WMNs. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (PIMRC, 2014)

Soft systematic resampling for accurate posterior approximation and increased information retention in particle filtering. - Praveen Babu Choppala; Marcus R. Frean; Paul D. Teal (SSP, 2014)

On the local popularity impact on object replica placement over WMNs. - Zakwan Al-Arnaout; Qiang Fu 011; Marcus Frean (WoWMoM, 2014)

The Shattered Gradients Problem: If resnets are the answer, then what is the question? - David Balduzzi; Marcus Frean; Lennox Leary; J. P. Lewis 001; Kurt Wan-Duo Ma; Brian McWilliams (ICML, 2017)

Active shift attention based object tracking system. - Aisha Ajmal; Christopher Hollitt; Marcus Frean (IVCNZ, 2017)

Back To RGB: Deep articulated hand pose estimation from a single camera image. - Kurt Wan-Duo Ma; J. P. Lewis 001; Marcus Frean; David Balduzzi (IVCNZ, 2017)

A Comparison of RGB and HSV Colour Spaces for Visual Attention Models. - Aisha Ajmal; Christopher Hollitt; Marcus Frean; Harith Al-Sahaf (IVCNZ, 2018)

Sample-Efficient Optimization Using Bayesian Neural Networks. - Mashall Aryan; Marcus Frean; John Lewis 001 (IVCNZ, 2018)

A Hybrid Online Offline System for Network Anomaly Detection. - Murugaraj Odiathevar; Winston K. G. Seah; Marcus Frean (ICCCN, 2019)

Utility function generated saccade strategies for robot active vision: a probabilistic approach. - Arindam Bhakta; Christopher Hollitt; Will N. Browne; Marcus Frean (Auton. Robots, 2019)

Humans Learning from Machines: Data Science Meets Network Management. - Murugaraj Odiathevar; Duncan Cameron; Winston K. G. Seah; Marcus Frean; Alvin C. Valera (COMSNETS, 2021)

Indigenous frameworks for data-intensive humanities: recalibrating the past through knowledge engineering and generative modelling. - Sydney Shep; Marcus Frean; Rhys Owen; Rere-No-A-Rangi Pope; Pikihuia Reihana; Valerie Chan (J. Data Min. Digit. Humanit., 2021)

An Online Offline Framework for Anomaly Scoring and Detecting New Traffic in Network Streams. - Murugaraj Odiathevar; Winston K. G. Seah; Marcus Frean; Alvin C. Valera (IEEE Trans. Knowl. Data Eng., 2022)

A Bayesian Approach To Distributed Anomaly Detection In Edge AI Networks. - Murugaraj Odiathevar; Winston K. G. Seah; Marcus Frean (IEEE Trans. Parallel Distributed Syst., 2022)

Resampling and Network Theory. - Praveen Babu Choppala; Marcus R. Frean; Paul D. Teal (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Eco-evolutionary Logic of Mutualisms. - Chaitanya S. Gokhale; Marcus Frean; Paul B. Rainey (Dyn. Games Appl., 2023)

Realtime BGP Anomaly Detection Using Graph Centrality Features. - Janel Huang; Murugaraj Odiathevar; Alvin C. Valera; Jyoti Sahni; Marcus Frean; Winston K. G. Seah (AINA (3), 2024)

Informed Adaptive Sensing. - Amr Morssy; Marcus R. Frean; Paul D. Teal (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Georeferencing Historical Maps at Scale. - Rere-No-A-Rangi Pope; Marcus Frean (GIScience, 2025)