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NICTA database

This searchable online database contains conference papers, journal publications, book chapters, poster presentations and other presentations from NICTA's Machine Learing Group.


Recent Journal Publications from Machine Learning Research Group







Chen, Siyuan; Epps, Julien
Automatic Classification of Eye Activity for Cognitive Load Measurement with Emotion Interference
Computer Methods and Programs in Biomedicine, pp. 14, December, 2012.

Chen, Fang; Ruiz, Natalie; Khawaja, M. Asif; Choi, Ho (Eric); Epps, Julien; Taib, Ronnie; Yin, Bo; Wang, Yang      
Multimodal Behavior and Interaction as Indicators of Cognitive Load      
ACM Transactions on Interactive Intelligent Systems, Volume 2 (Special Edition), pp. 36, December, 2012

McAuley J., Ramisa A., Caetano T.
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies
International Journal of Computer Vision (IJCV), September, 2012

Pahikkala, Tapio; Suominen, Hanna; Boberg, Jorma
Efficient Cross-validation for Kernelized Least-Squares Regression with Sparse Basis Expansions
Machine Learning, pp. 786–787, July, 2012

van Erven T., Reid M., Williamson B.      
Mixability is Bayes Risk Curvature Relative to Log Loss      
Journal of Machine Learning Research, no. May, vol. 13, pp. 1639−1663, May, 2012

Coles A., Coles A., Olaya A.G., Jimenez S., Lopez, C.L., Sanner S., Yoon S.      
A Survey of the Seventh International Planning Competition      
AI Magazine, no. 1, vol. 33, pp. 1--8, June, 2012

Kan A., Chan J., Hayes C., Hogan B., Bailey J., Leckie C.      
A Time Decoupling Approach for Studying Forum Dynamics      
AI Magazine, no. 1, vol. 33, pp. 1--8, June, 2012

MacKinlay A., Martinez D., Baldwin T.      
Detecting Modification of Biomedical Events using a Deep Parsing Approach      
BMC Medical Informatics and Decision Making, no. Suppl 1, vol. 12, pp. S4, April, 2012

McAuley J., Caetano T.      
Fast matching of large point sets under occlusions      
Pattern Recognition, vol. 45, pp. 563-569, May, 2012

Gao J., Shi Q., Caetano T.      
Dimensionality Reduction via Compressive Sensing      
Pattern Recognition Letters, vol. 33, pp. 1163-1170, February, 2012


Recent Conference Publications from Machine Learning Research Group






Chen, Siyuan; Epps, Julien; Chen, Fang

Automatic and Continuous User Task Analysis via Eye Activity

International Conference on Intelligent User Interfaces (IUI), Santa Monica, pp. 10, March, 2013.

Han, Bo; Cook, Paul; Baldwin, Tim

Geolocation Prediction in Social Media Data by Finding Location Indicative Words

International Conference on Computational Linguistics (COLING), Mumbai, India, pp. 17, December, 2012.

Liu, Xianghang; Petterson, James; Caetano, Tiberio

Learning as MAP Inference in Discrete Graphical Models

Advances in Neural Information Processing Systems (NIPS), December, 2012.

Zamani, Zahra; Sanner, Scott

Symbolic Dynamic Programming for Continuous State and Observation POMDPs

Neural Information Processing Systems (NIPS), Lake Tahoe, USA, pp. 1--9, December, 2012.

Van Erven, Tim; Grunwald , Peter ; Reid, Mark; Williamson, Bob

Mixability in Statistical Learning

Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA, pp. 1700--1708, December, 2012.

Ramos, Fabio; Bonilla, Edwin; O'Callaghan, Simon; Reid, Alistair; Uther, William; Sambridge, Malcolm; Rawling, Tim

Bayesian data fusion for geothermal exploration

Australian Geothermal Energy Conference, Australia, pp. 5, November, 2012.

Defazio, Aaron; Caetano, Tiberio

A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation

Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, United States, pp. 9, November, 2012.

Nourbakhsh, Nargess; Wang, Yang; Chen, Fang; Calvo, Rafael

Using Galvanic Skin Response for Cognitive Load Measurement in Arithmetic and Reading Tasks

24th Australian Computer-Human Interaction Conference (OzCHI 2012), Melbourne/Australia, pp. 420-423, November, 2012.

Reid, Mark; Williamson, Bob; Sun, Peng         The Convexity and Design of Composite Multiclass Losses         International Conference on Machine Learning (ICML), Edinburgh, UK, June, 2012

Guo S., Sanner S., Graepel T., Buntine W.         Score-based Bayesian Skill Learning         European Conference on Machine Learning, Bristol UK, September 2012

Ghoneim A.         Reassignment-Based Strategy-Proof Mechanisms for Interdependent Task Allocation         PRIMA 2012, September 2012

Lim K.W., Sanner S., Guo S.         On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off         SIGIR 2012, August 2012

Sanner S., Abbasnejad E.         Symbolic Variable Elimination for Discrete and Continuous Graphical Models         Conference on Artificial Intelligence (AAAI), July 2012

Zamani Z., Sanner S.         Symbolic Dynamic Programming for Continuous State and Action MDPs         Conference on Artificial Intelligence (AAAI), July 2012

Du L., Buntine W., Jin H         Modelling Sequential Text with an Adaptive Topic Model         Empirical Methods in Natural Language Processing (EMNLP), July 2012

Cummins N., Epps J., Kua J.M.K.         A Comparison of Classification Paradigms for Features for Speaker Likeability Determination         Interspeech 2012, Portland/ USA, pp. 4, June, 2012

Bonilla E., Robles-Kelly A.         Discriminative Probabilistic Prototype Learning         International Conference on Machine Learning (ICML), Edinburgh, UK, June, 2012

Chen C., Ding N., Buntine W.         Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling         International Conference on Machine Learning (ICML), Edinburgh/Scotland, pp. 8, June, 2012

Garcia D., Williamson B.         Divergences and Risks for Multiclass Experiments         Conference on Learning Theory, Edinburgh, UK, pp. 28.1-28.20, June, 2012

Lui, Marco; Baldwin, Tim An Off-the-shelf Language Identification Tool

The 50th Annual Meeting of the Association for Computational Linguistics, Jeju, South Korea, pp. 6, June, 2012.

Ruderman A., Garcia D., Petterson J., Reid M.         Tighter Variational Representations of f-Divergences via Restriction to Probability Measures         International Conference on Machine Learning (ICML), Edinburgh, Scotland, pp. 361, June, 2012

Noel J., Sanner S., Tran K., Christen P., Xie L., Bonilla E., Abbasnejad E., Della Penna N.         New Objective Functions for Social Collaborative Filtering         Conference Paper. International World Wide Web Conference (WWW), Lyon, France, pp. 1--10, April, 2012

Zuluaga M., Bonilla E., Topham N.         Predicting Best Design Trade-offs: A Case Study in Processor Customization         Design, Automation and Test in Europe, Germany, pp. 6, March, 2012

Zhang B., Wang Y., Wang W.         Batch Mode Active Learning For Multi-Label Image Classification With Informative Label Correlation Mining         IEEE Workshop on the Applications of Computer Vision, Breckenridge/USA, pp. 401-407, January, 2012

Zhang M., Wang Y., Wang W.         Multiple Instance Learning from Multiple Perspectives: Combining Models for Multiple Instance Learning         IEEE Workshop on the Applications of Computer Vision, Breckenridge/USA, pp. 481-487, January, 2012