David M. Budden

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 11

Top Topics

Parallel Data Mining

Top Venues

Briefings Bioinform.

Publications

Shibani Santurkar, David M. Budden, Nir Shavit
Generative Compression. PCS (2018)
David M. Budden, Mitchell Jones
Cautionary Tales of Inapproximability. J. Comput. Biol. 24 (3) (2017)
Alexander Matveev, Yaron Meirovitch, Hayk Saribekyan, Wiktor Jakubiuk, Tim Kaler, Gergely Ódor, David M. Budden, Aleksandar Zlateski, Nir Shavit
A Multicore Path to Connectomics-on-Demand. PPOPP (2017)
Shibani Santurkar, David M. Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit
Toward Streaming Synapse Detection with Compositional ConvNets. CoRR (2017)
Shibani Santurkar, David M. Budden, Nir Shavit
Generative Compression. CoRR (2017)
David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit
Deep Tensor Convolution on Multicores. ICML (2017)
David M. Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit
Deep Tensor Convolution on Multicores. CoRR (2016)
Shannon Fenn, Alexandre Mendes, David M. Budden
Addressing the non-functional requirements of computer vision systems: a case study. Mach. Vis. Appl. 27 (1) (2016)
David M. Budden, Edmund J. Crampin
Information theoretic approaches for inference of biological networks from continuous-valued data. BMC Syst. Biol. 10 (2016)
Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan, David M. Budden, David Rolnick, Gergely Ódor, Seymour Knowles-Barley, Thouis Raymond Jones, Hanspeter Pfister, Jeff William Lichtman, Nir Shavit
A Multi-Pass Approach to Large-Scale Connectomics. CoRR (2016)
David M. Budden, Edmund J. Crampin
Distributed gene expression modelling for exploring variability in epigenetic function. BMC Bioinform. 17 (2016)
David M. Budden, Edmund J. Crampin
Gene expression modelling across multiple cell-lines with MapReduce. CoRR (2015)
Daniel G. Hurley, David M. Budden, Edmund J. Crampin
Virtual Reference Environments: a simple way to make research reproducible. Briefings Bioinform. 16 (5) (2015)
Daniel G. Hurley, Joseph Cursons, Yi Kan Wang, David M. Budden, Cristin G. Print, Edmund J. Crampin
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks. Bioinform. 31 (13) (2015)
Madison Flannery, David M. Budden, Alexandre Mendes
FlexDM: Simple, parallel and fault-tolerant data mining using WEKA. Source Code Biol. Medicine 10 (2015)
Daniel G. Hurley, Joseph Cursons, Yi Kan Wang, David M. Budden, Cristin G. Print, Edmund J. Crampin
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks. Bioinform. 31 (2) (2015)
David M. Budden, Daniel G. Hurley, Edmund J. Crampin
Predictive modelling of gene expression from transcriptional regulatory elements. Briefings Bioinform. 16 (4) (2015)
David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko
RoboCup Simulation Leagues: Enabling Replicable and Robust Investigation of Complex Robotic Systems. IEEE Robotics Autom. Mag. 22 (3) (2015)
Shannon Fenn, Alexandre Mendes, David M. Budden
Addressing the non-functional requirements of computer vision systems: A case study. CoRR (2014)
Madison Flannery, David M. Budden, Alexandre Mendes
FlexDM: Enabling robust and reliable parallel data mining using WEKA. CoRR (2014)
David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko
Simulation Leagues: Analysis of Competition Formats. RoboCup (2014)
David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko
Simulation leagues: Enabling replicable and robust investigation of complex robotic systems. CoRR (2014)
David M. Budden, Peter Wang, Oliver Obst, Mikhail Prokopenko
Simulation leagues: Analysis of competition formats. CoRR (2014)
Madison Flannery, Shannon Fenn, David M. Budden
RANSAC: Identification of Higher-Order Geometric Features and Applications in Humanoid Robot Soccer. CoRR (2013)
David M. Budden, Mikhail Prokopenko
Improved Particle Filtering for Pseudo-Uniform Belief Distributions in Robot Localisation. RoboCup (2013)
David M. Budden, Alexandre Mendes
Unsupervised Recognition of Salient Colour for Real-Time Image Processing. RoboCup (2013)
Brendan Annable, David M. Budden, Alexandre Mendes
NUbugger: A Visual Real-Time Robot Debugging System. RoboCup (2013)
Jake Fountain, Josiah Walker, David M. Budden, Alexandre Mendes, Stephan K. Chalup
Motivated Reinforcement Learning for Improved Head Actuation of Humanoid Robots. RoboCup (2013)
David M. Budden, Shannon Fenn, Alexandre Mendes, Stephan K. Chalup
Evaluation of Colour Models for Computer Vision Using Cluster Validation Techniques. RoboCup (2012)
David M. Budden, Shannon Fenn, Josiah Walker, Alexandre Mendes
A Novel Approach to Ball Detection for Humanoid Robot Soccer. Australasian Conference on Artificial Intelligence (2012)