Machine Learning

  • Timeline

Deep extreme learning machines: Supervised autoencoding architecture for classification

Date Published: 2016

Type: Journal Article

Reference: M. D. Tissera and M. D. McDonnell. Deep extreme learning machines: Supervised autoencoding architecture for classification. Neurocomputing, 174:42-49, 2016.


Learned filters for object detection in multi-object visual tracking

Date Published: 2016

Type: Refereed Conference Papers

Reference: V. Stamatescu, S. Wong, M. D. McDonnell and D Kearney. Learned filters for object detection in multi-object visual tracking. In Proc. SPIE Defense+ Security, 98440F-98440F-14, 2016.


Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning.

Date Published: July 2016

Type: Refereed Conference Paper

Reference: D. E. Padilla and M. D. McDonnell. Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning. In Proc. International Joint Conference on Neural Networks (IJCNN), Vancouver, July 2016 (Accepted, In Press).


Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs.

Date Published: July 2016

Type: Refereed Conference Paper

Reference: P. de Chazal and M. D. McDonnell. Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs. In Proc. International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016 (Accepted, In Press).


On the importance of pair-wise feature correlations for image classification.

Date Published: July 2016

Type: Refereed Conference Paper

Reference: M. D. McDonnell, R. G. McKilliam and P. de Chazal. On the importance of pair-wise feature correlations for image classification. In Proc. International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016 (Accepted, In Press).


Modular expansion of the hidden layer in single layer feed-forward neural networks.

Date Published: July 2016

Type: Refereed Conference Paper

Reference: M. D. Tissera and M. D. McDonnell. Modular expansion of the hidden layer in single layer feed-forward neural networks. In Proc. International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016 (Accepted, In Press).


Enhancing deep extreme learning machines by error back-propagation.

Date Published: July 2016

Type: Refereed Conference Paper

Reference: M. D. Tissera and M. D. McDonnell. Enhancing deep extreme learning machines by error back-propagation. In Proc. International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 2016 (Accepted, In Press).


Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the ‘extreme learning machine’ algorithm.

Date Published: 2015

Type: Journal Article

Reference: M. D. McDonnell, M. D. Tissera, T. Vladusich, A. van Schaik and J. Tapson. Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the ‘extreme learning machine’ algorithm. PLOS One, 10: Article Number e0134254, 2015.


Enhanced image classification with a fast-learning shallow convolutional neural network.

Date Published: July 2015

Type: Refereed Conference Paper

Reference: M. D. McDonnell and T. Vladusich. Enhanced image classification with a fast-learning shallow convolutional neural network. In Proc. International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, July 12-17, 2015.


Mutual information for enhanced feature selection in visual tracking.

Date Published: 2015

Type: Refereed Conference Paper

Reference: V. Stamatescu, S. Wong, D. A. Kearney, I. Lee and A. E. Milton. Mutual information for enhanced feature selection in visual tracking. In Firooz A. Sadjadi, Abhijit Mahalanobis, New Methodologies in ARR I, SPIE Digital Library, v. 9476, article no. 947603, pp. 1-11, 2015.


Modeling electrode place discrimination in cochlear implants: Analysis of the influence of electrode array insertion depth.

Date Published: April 2015

Type: Refereed Conference Paper

Reference: X. Gao, D. B. Grayden and M. D. McDonnell. Modeling electrode place discrimination in cochlear implants: Analysis of the influence of electrode array insertion depth. In. Proc 7th International IEEE EMBS Neural Engineering Conference (NER’15), Montpellier, France, April 22-24, 2015.


Engineering intelligent electronic systems based on computational neuroscience.

Date Published: 2014

Type: Journal Editorial

Reference: M. D. McDonnell, K. Boahen, A. Ijspeert, and T. J. Sejnowski. Engineering intelligent electronic systems based on computational neuroscience. Proceedings of the IEEE, 102:646-651, 2014.


Enabling ‘question answering’ in the MBAT vector symbolic architecture by exploiting orthogonal random matrices.

Date Published: June 2014

Type: Refereed Conference Paper

Reference: M. D. Tissera and M. D. McDonnell. Enabling ‘question answering’ in the MBAT vector symbolic architecture by exploiting orthogonal random matrices. In Proc. Eighth IEEE International Conference on Semantic Computing, June 16-18 2014, pp 171-174.


A competitive attentional approach to mitigating model drift in adaptive visual tracking.

Date Published: 2014

Type: Refereed Conference Paper

Reference: S. C. Wong and A. Gatt and D. A. Kearney and A. E. Milton and V. Stamatescu. A competitive attentional approach to mitigating model drift in adaptive visual tracking. In ACM, International Conference on Image and Vision Computing, ACM - Association for Computing Machinery Inc, pp. 1-6, 2014.


A neurobiologically plausible vector symbolic architecture.

Date Published: June 2014

Type: Refereed Conference Paper

Reference: D. E. Padilla and M. D. McDonnell. A neurobiologically plausible vector symbolic architecture. In Proc. Eighth IEEE International Conference on Semantic Computing, June 16-18 2014, pp 242-245.


Performance of a hierarchical temporal memory network in noisy sequence learning.

Date Published: December 2013

Type: Refereed Conference Paper

Reference: D. E. Padilla, R. Brinkworth and M. D. McDonnell. Performance of a hierarchical temporal memory network in noisy sequence learning. In Proc. IEEE International Conference on Computational Intelligence and Cybernetics: CyberneticsCom 2013, Yogyakarta, Indonesia, 3 – 5 December 2013, pp. 45–51.