| Ramachandran A, Gupta S, Santu R and Venkatesh S (2018), "Selecting optimal source for transfer learning in bayesian optimisation", In The 15th Pacific Rim International Conference on Artificial Intelligence. , pp. 42-56.
[BibTeX] |
BibTeX:
@inproceedings{AnilPRICAI_2018,
author = {Ramachandran, A. and Gupta, S.K. and Santu, R. and Venkatesh, S.},
title = {Selecting optimal source for transfer learning in bayesian optimisation},
booktitle = {The 15th Pacific Rim International Conference on Artificial Intelligence},
year = {2018},
pages = {42--56}
}
|
| Berk J, Nguyen V, Gupta S, Rana S and Venkatesh S (2018), "Exploration Enhanced Expected Improvement for Bayesian Optimization", In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). , pp. 621-637. Springer.
[BibTeX] |
BibTeX:
@inproceedings{berk2018exploration,
author = {Berk, Julian and Nguyen, Vu and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
title = {Exploration Enhanced Expected Improvement for Bayesian Optimization},
booktitle = {The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
publisher = {Springer},
year = {2018},
pages = {621--637}
}
|
| Beykikhoshk A, Arandjelovic O, Phung D and Venkatesh S (2018), "Discovering topic structures of a temporally evolving document corpus", Knowledge and Information Systems. Vol. 55(3), pp. 599-632. Springer.
[BibTeX] |
BibTeX:
@article{beykikhoshk2018discovering,
author = {Beykikhoshk, Adham and Arandjelovic, Ognjen and Phung, Dinh and Venkatesh, Svetha},
title = {Discovering topic structures of a temporally evolving document corpus},
journal = {Knowledge and Information Systems},
publisher = {Springer},
year = {2018},
volume = {55},
number = {3},
pages = {599--632}
}
|
| Dai Nguyen T, Gupta S, Rana S and Venkatesh S (2018), "Stable bayesian optimization", International Journal of Data Science and Analytics. Vol. 6(4), pp. 327-339. Springer.
[BibTeX] |
BibTeX:
@article{dai2018stable,
author = {Dai Nguyen, Thanh and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
title = {Stable bayesian optimization},
journal = {International Journal of Data Science and Analytics},
publisher = {Springer},
year = {2018},
volume = {6},
number = {4},
pages = {327--339}
}
|
| Do K, Tran T and Venkatesh S (2018), "Energy-based anomaly detection for mixed data", Knowledge and Information Systems. Vol. 57(2), pp. 413-435. Springer.
[BibTeX] |
BibTeX:
@article{do2018energy,
author = {Do, Kien and Tran, Truyen and Venkatesh, Svetha},
title = {Energy-based anomaly detection for mixed data},
journal = {Knowledge and Information Systems},
publisher = {Springer},
year = {2018},
volume = {57},
number = {2},
pages = {413--435}
}
|
| Do K, Tran T and Venkatesh S (2018), "Knowledge Graph Embedding with Multiple Relation Projections", In International Conference on Pattern Recognition (ICPR). , pp. 332-337.
[BibTeX] |
BibTeX:
@inproceedings{do2018knowledge,
author = {Do, Kien and Tran, Truyen and Venkatesh, Svetha},
title = {Knowledge Graph Embedding with Multiple Relation Projections},
booktitle = {International Conference on Pattern Recognition (ICPR)},
year = {2018},
pages = {332--337}
}
|
| Gopakumar S, Gupta S, Rana S, Nguyen V and Venkatesh S (2018), "Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation", In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada.. , pp. 5470-5478. |
BibTeX:
@inproceedings{gopakumar2018algorithmic,
author = {Gopakumar, Shivapratap and Gupta, Sunil and Rana, Santu and Nguyen, Vu and Venkatesh, Svetha},
title = {Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada.},
year = {2018},
pages = {5470--5478},
url = {http://papers.nips.cc/paper/7791-algorithmic-assurance-an-active-approach-to-algorithmic-testing-using-bayesian-optimisation}
}
|
| Gupta S, Shilton A, Rana S and Venkatesh S (2018), "Exploiting Strategy-Space Diversity for Batch Bayesian Optimization", In The 21st International Conference on Artificial Intelligence and Statistics (AISTATS). Lanzarote, Canary Islands, 2018. , pp. 538-547.
[BibTeX] |
BibTeX:
@inproceedings{gupta2018exploiting,
author = {Gupta, S. and Shilton, A. and Rana, S. and Venkatesh, S.},
title = {Exploiting Strategy-Space Diversity for Batch Bayesian Optimization},
booktitle = {The 21st International Conference on Artificial Intelligence and Statistics (AISTATS). Lanzarote, Canary Islands, 2018},
year = {2018},
pages = {538--547}
}
|
| Harikumar H, Rana S, Gupta S, Nguyen T, Kaimal R and Venkatesh S (2018), "Differentially Private Prescriptive Analytics", In 2018 IEEE International Conference on Data Mining (ICDM). , pp. 995-1000.
[BibTeX] |
BibTeX:
@inproceedings{harikumar2018differentially,
author = {Harikumar, Haripriya and Rana, Santu and Gupta, Sunil and Nguyen, Thin and Kaimal, Ramachandra and Venkatesh, Svetha},
title = {Differentially Private Prescriptive Analytics},
booktitle = {2018 IEEE International Conference on Data Mining (ICDM)},
year = {2018},
pages = {995--1000}
}
|
| Harikumar H, Rana S, Gupta S, Nguyen T, Kaimal R and Venkatesh S (2018), "Prescriptive Analytics through Constrained Bayesian Optimization", In Pacific-Asia Conference on Knowledge Discovery and Data Mining. , pp. 335-347. Springer.
[BibTeX] |
BibTeX:
@inproceedings{harikumar2018PAKDD,
author = {Harikumar, H. and Rana, S. and Gupta, S. and Nguyen, T. and Kaimal, R. and Venkatesh, Svetha},
title = {Prescriptive Analytics through Constrained Bayesian Optimization},
booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining},
publisher = {Springer},
year = {2018},
pages = {335--347}
}
|
| Le H, Tran T and Venkatesh S (2018), "Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning", In SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). , pp. 1637-1645.
[BibTeX] |
BibTeX:
@inproceedings{le2018dual,
author = {Le, Hung and Tran, Truyen and Venkatesh, Svetha},
title = {Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning},
booktitle = {SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
year = {2018},
pages = {1637--1645}
}
|
| Le H, Tran T and Venkatesh S (2018), "Dual control memory augmented neural networks for treatment recommendations", In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). , pp. 273-284. Springer.
[BibTeX] |
BibTeX:
@inproceedings{le2018PAKDD,
author = {Le, Hung and Tran, Truyen and Venkatesh, Svetha},
title = {Dual control memory augmented neural networks for treatment recommendations},
booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
publisher = {Springer},
year = {2018},
pages = {273--284}
}
|
| Le H, Tran T, Nguyen T and Venkatesh S (2018), "Variational Memory Encoder-Decoder", In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montreal, Canada.. , pp. 1515-1525. |
BibTeX:
@inproceedings{le2018variational,
author = {Le, Hung and Tran, Truyen and Nguyen, Thin and Venkatesh, Svetha},
title = {Variational Memory Encoder-Decoder},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montreal, Canada.},
year = {2018},
pages = {1515--1525},
url = {http://papers.nips.cc/paper/7424-variational-memory-encoder-decoder}
}
|
| Lee S, Quinn T, Lai J, Kong SW, Hertz-Picciotto I, Glatt S, Crowley T, Venkatesh S and Nguyen T (2018), "Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies", American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. Vol. 180(6), pp. 377-389. Wiley Online Library.
[BibTeX] |
BibTeX:
@article{lee2018solving,
author = {Lee, Samuel and Quinn, Thomas and Lai, Jerry and Kong, Sek Won and Hertz-Picciotto, Irva and Glatt, Stephen and Crowley, Tamsyn and Venkatesh, Svetha and Nguyen, Thin},
title = {Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies},
journal = {American Journal of Medical Genetics Part B: Neuropsychiatric Genetics},
publisher = {Wiley Online Library},
year = {2018},
volume = {180},
number = {6},
pages = {377--389}
}
|
| Yang A, Li C, Rana S, Gupta S and Venkatesh S (2018), "Efficient Bayesian Optimisation Using Derivative Meta-Model", In The 15th Pacific Rim International Conference on Artificial Intelligence. , pp. 256-264.
[BibTeX] |
BibTeX:
@inproceedings{LeonPRICAI_2018,
author = {Yang, A. and Li, C. and Rana, S. and Gupta, S. and Venkatesh, S.},
title = {Efficient Bayesian Optimisation Using Derivative Meta-Model},
booktitle = {The 15th Pacific Rim International Conference on Artificial Intelligence},
year = {2018},
pages = {256--264}
}
|
| Li C, Santu R, Gupta S, Nguyen V, Venkatesh S, Sutti A, Leal DRDC, Slezak T, Height M, Mohammed M and others (2018), "Accelerating Experimental Design by Incorporating Experimenter Hunches", In 2018 IEEE International Conference on Data Mining (ICDM). , pp. 257-266.
[BibTeX] |
BibTeX:
@inproceedings{li2018accelerating,
author = {Li, Cheng and Santu, Rana and Gupta, Sunil and Nguyen, Vu and Venkatesh, Svetha and Sutti, Alessandra and Leal, David Rubin De Celis and Slezak, Teo and Height, Murray and Mohammed, Mazher and others},
title = {Accelerating Experimental Design by Incorporating Experimenter Hunches},
booktitle = {2018 IEEE International Conference on Data Mining (ICDM)},
year = {2018},
pages = {257--266}
}
|
| Abdolshah M, Shilton A, Rana S, Gupta S and Venkatesh S (2018), "Expected Hypervolume Improvement with Constraints", In International Conference on Pattern Recognition (ICPR). , pp. 3238-3243.
[BibTeX] |
BibTeX:
@inproceedings{majid2018ICPR,
author = {Abdolshah, Majid and Shilton, Alistair and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
title = {Expected Hypervolume Improvement with Constraints},
booktitle = {International Conference on Pattern Recognition (ICPR)},
year = {2018},
pages = {3238--3243}
}
|
| Nguyen D, Nguyen TD, Luo W and Venkatesh S (2018), "Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets", In Pacific-Asia Conference on Knowledge Discovery and Data Mining. , pp. 361-372. Springer.
[BibTeX] |
BibTeX:
@inproceedings{mguyen2018PAKDD,
author = {Nguyen, Dang and Nguyen, Tu Dinh and Luo, Wei and Venkatesh, Svetha.},
title = {Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets},
booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining},
publisher = {Springer},
year = {2018},
pages = {361--372}
}
|
| Nguyen D, Luo W, Venkatesh S and Phung D (2018), "Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding", Journal of Medical Systems. Vol. 42(5), pp. 94. Springer.
[BibTeX] |
BibTeX:
@article{nguyen2018effective,
author = {Nguyen, Dang and Luo, Wei and Venkatesh, Svetha and Phung, Dinh},
title = {Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding},
journal = {Journal of Medical Systems},
publisher = {Springer},
year = {2018},
volume = {42},
number = {5},
pages = {94}
}
|
| Nguyen H, Nguyen V, Nguyen T, Larsen ME, O’Dea B, Nguyen DT, Le T, Phung D, Venkatesh S and Christensen H (2018), "Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web", In International Conference on Web Information Systems Engineering. , pp. 100-110.
[BibTeX] |
BibTeX:
@inproceedings{nguyen2018jointly,
author = {Nguyen, Hung and Nguyen, Van and Nguyen, Thin and Larsen, Mark E and O’Dea, Bridianne and Nguyen, Duc Thanh and Le, Trung and Phung, Dinh and Venkatesh, Svetha and Christensen, Helen},
title = {Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web},
booktitle = {International Conference on Web Information Systems Engineering},
year = {2018},
pages = {100--110}
}
|
| Nguyen D, Luo W, Phung D and Venkatesh S (2018), "LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment", Knowledge-Based Systems. Vol. 161, pp. 313-328. Elsevier.
[BibTeX] |
BibTeX:
@article{nguyen2018ltarm,
author = {Nguyen, Dang and Luo, Wei and Phung, Dinh and Venkatesh, Svetha},
title = {LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment},
journal = {Knowledge-Based Systems},
publisher = {Elsevier},
year = {2018},
volume = {161},
pages = {313--328}
}
|
| Nguyen DT, Gupta S, Rana S and Venkatesh S (2018), "A Privacy Preserving Bayesian Optimization with High Efficiency", In Pacific-Asia Conference on Knowledge Discovery and Data Mining. , pp. 543-555. Springer.
[BibTeX] |
BibTeX:
@inproceedings{nguyen2018PAKDD,
author = {Nguyen, Dai T. and Gupta, S. and Rana, Santu and Venkatesh, Svetha},
title = {A Privacy Preserving Bayesian Optimization with High Efficiency},
booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining},
publisher = {Springer},
year = {2018},
pages = {543--555}
}
|
| Nguyen P, Tran T and Venkatesh S (2018), "Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records", In IEEE International Joint Conference on Neural Networks (IJCNN). , pp. 1-9.
[BibTeX] |
BibTeX:
@inproceedings{nguyen2018resset,
author = {Nguyen, Phuoc and Tran, Truyen and Venkatesh, Svetha},
title = {Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records},
booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
year = {2018},
pages = {1--9}
}
|
| Nguyen D, Luo W, Nguyen T, Venkatesh S and Phung D (2018), "Learning Graph Representation via Frequent Subgraphs", In Proceedings of the 2018 SIAM International Conference on Data Mining (SDM). , pp. 306-314. SIAM.
[BibTeX] |
BibTeX:
@inproceedings{nguyen2018SDM,
author = {Nguyen, Dang and Luo, Wei and Nguyen, Tu and Venkatesh, Svetha and Phung, Dinh},
title = {Learning Graph Representation via Frequent Subgraphs},
booktitle = {Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)},
publisher = {SIAM},
year = {2018},
pages = {306--314}
}
|
| Nguyen T, Larsen M, O'Dea B, Nguyen H, Nguyen DT, Yearwood J, Phung D, Venkatesh S and Christensen H (2018), "Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices", Future Generation Computer Systems. Vol. 110, pp. 620-628. Elsevier. |
| Abstract: For more than three decades, the US has annually conducted Behavioral Risk Factor Surveillance System (BRFSS) surveys to capture health behavior and health status of its people. Though this kind of information at population level is important for local governments to identify local needs, traditional datasets take several years to collate and to become publicly available. Geocoded social media data can provide an alternative reflection of local health trends. Due to the large scale of data, such as approximately two billions of tweets in this work, aggregating the tweets at a population level is common practice. While alleviating the computational cost, the aggregation operation would result in the loss of information on the distribution of data over the population, and such information may be important for identifying the health behavior and health outcomes of the population. In this work, we propose statistical features constructed on-top of primary features to predict county-level health indices. The primary features include topics and linguistic patterns extracted from tweets with county-decoded information. In addition, tweeting behaviors, particularly tweeting time, are used as a predictor of the health indices. Apache Spark, an advanced cluster computing paradigm, was employed to efficiently process the large corpus of tweets, including geo-decoding the geotags, extracting low-level (primary) features, and computing the statistical features. The results show strong correlations between publicly available health indices and the features extracted from geospatially coded Twitter data. Statistical features gained higher correlation coefficients than did the aggregation ones, suggesting the potential and applicability of the proposed features in a wide spectrum of applications on data analytics at population levels. In addition, the prediction performance was also improved when the temporal information was employed. This demonstrates that the real-time analysis of social media data can provide timely insights into the health of populations. |
BibTeX:
@article{nguyen2018using,
author = {Nguyen, Thin and Larsen, Mark and O'Dea, Bridianne and Nguyen, Hung and Nguyen, Duc Thanh and Yearwood, John and Phung, Dinh and Venkatesh, Svetha and Christensen, Helen},
title = {Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices},
journal = {Future Generation Computer Systems},
publisher = {Elsevier},
year = {2018},
volume = {110},
pages = {620--628},
url = {https://www.sciencedirect.com/science/article/pii/S0167739X17312487},
doi = {10.1016/j.future.2018.01.014}
}
|
| Nguyen D, Luo W, Nguyen T, Venkatesh S and Phung D (2018), "Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint", In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). , pp. 569-584. Springer.
[BibTeX] |
BibTeX:
@inproceedings{nguyensqn2vec,
author = {Nguyen, Dang and Luo, Wei and Nguyen, Tu and Venkatesh, Svetha and Phung, Dinh},
title = {Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint},
booktitle = {The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
publisher = {Springer},
year = {2018},
pages = {569--584}
}
|
| Pham T, Tran T and Venkatesh S (2018), "Graph Memory Networks for Molecular Activity Prediction", In International Conference on Pattern Recognition (ICPR). , pp. 639-644.
[BibTeX] |
BibTeX:
@inproceedings{pham2018graph,
author = {Pham, Trang and Tran, Truyen and Venkatesh, Svetha},
title = {Graph Memory Networks for Molecular Activity Prediction},
booktitle = {International Conference on Pattern Recognition (ICPR)},
year = {2018},
pages = {639--644}
}
|
| Ramachandran A, Gupta S, Rana S and Venkatesh S (2018), "Informationtheoretic transfer learning framework for Bayesian optimisation", In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). , pp. 827-842. Springer.
[BibTeX] |
BibTeX:
@inproceedings{ramachandran2018informationtheoretic,
author = {Ramachandran, Anil and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
title = {Informationtheoretic transfer learning framework for Bayesian optimisation},
booktitle = {The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
publisher = {Springer},
year = {2018},
pages = {827--842}
}
|
| Shilton A, Rana S, Gupta SK and Venkatesh S (2018), "Multi-Target Optimisation via Bayesian Optimisation and Linear Programming.", In UAI. , pp. 145-155.
[BibTeX] |
BibTeX:
@inproceedings{shilton2018multi,
author = {Shilton, Alistair and Rana, Santu and Gupta, Sunil Kumar and Venkatesh, Svetha},
title = {Multi-Target Optimisation via Bayesian Optimisation and Linear Programming.},
booktitle = {UAI},
year = {2018},
pages = {145--155}
}
|
| Vahid A, Rana S, Gupta S, Vellanki P, Venkatesh S and Dorin T (2018), "New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum", The Journal of The Minerals, Metals and Materials Society (JOM). Vol. 70(11), pp. 2704-2709. Springer.
[BibTeX] |
BibTeX:
@article{vahid2018new,
author = {Vahid, Alireza and Rana, Santu and Gupta, Sunil and Vellanki, Pratibha and Venkatesh, Svetha and Dorin, Thomas},
title = {New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum},
journal = {The Journal of The Minerals, Metals and Materials Society (JOM)},
publisher = {Springer},
year = {2018},
volume = {70},
number = {11},
pages = {2704--2709}
}
|
| Yang A, Li C, Rana S, Gupta S and Venkatesh S (2018), "Sparse Approximation for Gaussian Process with Derivative Observations", In Australasian Joint Conference on Artificial Intelligence. , pp. 507-518.
[BibTeX] |
BibTeX:
@inproceedings{yang2018sparse,
author = {Yang, Ang and Li, Cheng and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
title = {Sparse Approximation for Gaussian Process with Derivative Observations},
booktitle = {Australasian Joint Conference on Artificial Intelligence},
year = {2018},
pages = {507--518}
}
|