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Results for: 2018

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Sparse Approximation for {Gaussian} Process with Derivative Observations

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2018 / Australasian AI

Microstructure and mechanical properties of new recycled high performance 7xxx-series alloys

A. Vahid, S. Rana, S. Gupta, P. Vellanki, S. Venkatesh, T. Dorin

2018 / Materials Science and Engineering: A - Journal - Elsevier (under review)

Improving Chamfer template matching using image segmentation

D. Nguyen, N. Vu, T. Do, T. Nguyen, J. Yearwood

2018 / Vol. 25, pp. 1635 - 1639 / IEEE Signal Processing Letters

Dual control memory augmented neural networks for treatment recommendations

H. Le, T. Tran, S. Venkatesh

2018 / pp. 273 - 284 / Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies

S. Lee, T. Quinn, J. Lai, S. Kong, I. Hertz-Picciotto, S. Glatt, T. Crowley, S. Venkatesh, T. Nguyen

2018 / American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint

D. Nguyen, W. Luo, T. Nguyen, S. Venkatesh, D. Phung

2018 / pp. 569 - 584 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment

D. Nguyen, W. Luo, D. Phung, S. Venkatesh

2018 / Vol. 161, pp. 313 - 328 / Knowledge-Based Systems

Filtering Bayesian optimization approach in weakly specified search space

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2018 / pp. 1 - 29 / Knowledge and Information Systems

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding

D. Nguyen, W. Luo, S. Venkatesh, D. Phung

2018 / Vol. 42, pp. 94 / Journal of Medical Systems

Graph Memory Networks for Molecular Activity Prediction

T. Pham, T. Tran, S. Venkatesh

2018 / pp. 639 - 644 / International Conference on Pattern Recognition (ICPR)

Expected Hypervolume Improvement with Constraints

M. Abdolshah, A. Shilton, S. Rana, S. Gupta, S. Venkatesh

2018 / pp. 3238 - 3243 / International Conference on Pattern Recognition (ICPR)

Knowledge Graph Embedding with Multiple Relation Projections

K. Do, T. Tran, S. Venkatesh

2018 / pp. 332 - 337 / International Conference on Pattern Recognition (ICPR)

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

H. Le, T. Tran, S. Venkatesh

2018 / pp. 1637 - 1645 / SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

P. Nguyen, T. Tran, S. Venkatesh

2018 / pp. 1 - 9 / IEEE International Joint Conference on Neural Networks (IJCNN)

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets

D. Nguyen, T. Nguyen, W. Luo, S. Venkatesh

2018 / pp. 361 - 372 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Learning Graph Representation via Frequent Subgraphs

D. Nguyen, W. Luo, T. Nguyen, S. Venkatesh, D. Phung

2018 / pp. 306 - 314 / Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)

Prescriptive Analytics through Constrained Bayesian Optimization

H. Harikumar, S. Rana, S. Gupta, T. Nguyen, R. Kaimal, S. Venkatesh

2018 / pp. 335 - 347 / Pacific-Asia Conference on Knowledge Discovery and Data Mining