Mark D. McDonnell - Concepedia

Author

Mark D. McDonnell

Also Known As

Brenton Hordacre, M D McDonnell, M. D. McDonnell, M. McDonnell, M.D. McDonnell, MARK D. MCDONNELL, Mark D McDonnell, Mark D. McDonnell, Mark McDonnell, Mark D. McDonnell

211

Publications

6.9K

Citations

H-Index

169

Concepts

All Affiliations

University of South Australia The University of Adelaide University of Warwick University of British Columbia The University of Melbourne

About

Mark D. McDonnell is an author at University of South Australia specializing in engineering, computer science, and neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	26	1.1K
2	Business	1	1	17
3	Education	1	1	22
4	Health Sciences	1	1	14
5	Language Studies	1	1	13

Mark D. McDonnell

Publications

2.1K

Citations

H-Index

Page 1

	Year	Citations
Mathematical Methods for Spatially Cohesive Reserve Design Mark D. McDonnell, Hugh P. Possingham, Ian R. Ball, Environmental Modeling & Assessment	2002	250
Deep extreme learning machines: supervised autoencoding architecture for classification Migel D. Tissera, Mark D. McDonnell Neurocomputing EngineeringMachine LearningMachine Learning ModelExtreme Learning MachineAutoencoders	2015	130
Understanding Data Augmentation for Classification: When to Warp? Sebastien Wong, Adam Gatt, V. Stamatescu, Convolutional Neural NetworkEngineeringMachine LearningAutoencodersHuman Augmentation	2016	130
Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths Mark D. McDonnell, Wei Gao Convolutional Neural NetworkEngineeringMachine LearningAcoustic ModelingSpeech Recognition	2020	100
Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, PLoS ONE Convolutional Neural NetworkEngineeringMachine Learning'Extreme Learning MachineClassification Method	2015	79
Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance Mark D. McDonnell, Nigel G. Stocks, C. E. M. Pearce, Physics Letters A Information TheoryPhysicsNonlinear Wave PropagationNonlinear Signal ProcessingStochastic Resonance	2005	78
Enhanced image classification with a fast-learning shallow convolutional neural network Mark D. McDonnell, Tony Vladusich Convolutional Neural NetworkEngineeringMachine LearningRapid TrainingImage Classification	2015	77
An analysis of noise enhanced information transmission in an array of comparators Mark D. McDonnell, Derek Abbott, C. E. M. Pearce Microelectronics Journal	2002	68
Maximally Informative Stimuli and Tuning Curves for Sigmoidal Rate-Coding Neurons and Populations Mark D. McDonnell, Nigel G. Stocks Physical Review Letters EngineeringNeural RecodingTuning CurvesSocial SciencesSigmoidal Rate-coding Neurons	2008	66
Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study Iqbal Madakkatel, Ang Zhou, Mark D. McDonnell, Scientific Reports	2021	60

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