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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

 

Authors

     

Title

     

Journal

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

Authors

       

Title

       

Conference

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




langid.py: 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