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ORCIDWray L. Buntine
Wray Lindsay Buntine
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- affiliation: Monash University, Melbourne, Australia
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2020 – today
- 2024
[j45]Wei Tan
, Lan Du, Wray L. Buntine:
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3463-3479 (2024)- [j44]Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen:
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17: 258-269 (2024) - [j43]Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin:
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web (WWW) 27(3): 28 (2024) - [c104]Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine:
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. AAAI 2024: 15240-15248 - [c103]Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine:
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. ACL (Short Papers) 2024: 314-326 - [c102]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Towards Uncertainty-Aware Language Agent. ACL (Findings) 2024: 6662-6685 - [c101]Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi:
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. ACL (Findings) 2024: 6702-6718 - [c100]Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir:
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CIKM 2024: 3515-3526 - [c99]Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine:
Improving Vietnamese-English Medical Machine Translation. LREC/COLING 2024: 8955-8962 - [c98]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Reward Engineering for Generating Semi-structured Explanation. EACL (Findings) 2024: 589-602 - [i61]Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine:
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. CoRR abs/2401.07395 (2024) - [i60]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Towards Uncertainty-Aware Language Agent. CoRR abs/2401.14016 (2024) - [i59]Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham:
OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation. CoRR abs/2401.15814 (2024) - [i58]Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine:
Improving Vietnamese-English Medical Machine Translation. CoRR abs/2403.19161 (2024) - [i57]Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine:
A Survey on the Real Power of ChatGPT. CoRR abs/2405.00704 (2024) - [i56]Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe:
Navigating Conflicting Views: Harnessing Trust for Learning. CoRR abs/2406.00958 (2024) - [i55]Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du:
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. CoRR abs/2406.09008 (2024) - [i54]Do Huu Dat, Do Duc Anh, Anh Tuan Luu, Wray L. Buntine:
Discrete Diffusion Language Model for Long Text Summarization. CoRR abs/2407.10998 (2024) - [i53]Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir:
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CoRR abs/2408.04245 (2024) - [i52]Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray L. Buntine:
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. CoRR abs/2409.14801 (2024) - [i51]Ramya Keerthy Thatikonda, Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification. CoRR abs/2409.16461 (2024) - 2023
- [j42]Caitlin Doogan, Wray L. Buntine, Henry Linger:
A systematic review of the use of topic models for short text social media analysis. Artif. Intell. Rev. 56(12): 14223-14255 (2023) - [c97]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI 2023: 4676-4684 - [c96]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
AUC Maximization for Low-Resource Named Entity Recognition. AAAI 2023: 13389-13399 - [c95]Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic:
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED 2023: 114-125 - [c94]Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine:
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED 2023: 176-188 - [c93]Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine:
MEG: Masked Ensemble Tabular Data Generator. ICDM 2023: 838-847 - [c92]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? ICDM 2023: 1241-1246 - [c91]Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine:
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. IJCAI 2023: 6683-6691 - [e7]Berrin Yanikoglu, Wray L. Buntine:
Asian Conference on Machine Learning, ACML 2023, 11-14 November 2023, Istanbul, Turkey. Proceedings of Machine Learning Research 222, PMLR 2023 [contents] - [i50]Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine:
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR abs/2304.05578 (2023) - [i49]Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic:
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR abs/2304.07499 (2023) - [i48]Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi:
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. CoRR abs/2305.12392 (2023) - [i47]Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine:
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. CoRR abs/2306.15261 (2023) - [i46]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Reward Engineering for Generating Semi-structured Explanation. CoRR abs/2309.08347 (2023) - [i45]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? CoRR abs/2311.04918 (2023) - [i44]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR abs/2311.06835 (2023) - [i43]Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun:
HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. CoRR abs/2311.14747 (2023) - [i42]Wei Tan, Lan Du, Wray L. Buntine:
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. CoRR abs/2312.10116 (2023) - 2022
- [j41]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Wray L. Buntine, Mohammed Bennamoun:
Hands-On Bayesian Neural Networks - A Tutorial for Deep Learning Users. IEEE Comput. Intell. Mag. 17(2): 29-48 (2022) - [j40]Wray L. Buntine:
Understanding Hierarchical Processes. Entropy 24(12): 1703 (2022) - [j39]Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. 48(8): 2814-2835 (2022) - [c90]Lan Zhang, Wray L. Buntine, Ehsan Shareghi:
On the Effect of Isotropy on VAE Representations of Text. ACL (2) 2022: 694-701 - [c89]Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare:
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. EMNLP 2022: 4063-4071 - [c88]Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie:
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) 2022: 17-29 - [c87]Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari:
Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) 2022: 231-240 - [e6]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e5]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - [i41]Vy Vo, Weiqing Wang, Wray L. Buntine:
Unsupervised Sentence Simplification via Dependency Parsing. CoRR abs/2206.12261 (2022) - [i40]Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare:
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. CoRR abs/2211.05980 (2022) - [i39]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR abs/2212.01096 (2022) - [i38]Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du:
AUC Maximization for Low-Resource Named Entity Recognition. CoRR abs/2212.04800 (2022) - 2021
- [j38]Rabeh Ravanifard, Wray L. Buntine, Abdolreza Mirzaei:
Recommending content using side information. Appl. Intell. 51(6): 3353-3374 (2021) - [j37]Rabeh Ravanifard, Abdolreza Mirzaei, Wray L. Buntine, Mehran Safayani:
Content-Aware Listwise Collaborative Filtering. Neurocomputing 461: 479-493 (2021) - [j36]Lixue Zou, Xiwen Liu, Wray L. Buntine, Yanli Liu:
Citation context-based topic models: discovering cited and citing topics from full text. Libr. Hi Tech 39(4): 1063-1083 (2021) - [c86]Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR 2021: 7241-7250 - [c85]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) 2021: 1042-1052 - [c84]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du:
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP (Findings) 2021: 1313-1330 - [c83]Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine:
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. EMNLP (Findings) 2021: 3334-3340 - [c82]He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine:
Neural Topic Model via Optimal Transport. ICLR 2021 - [c81]He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI 2021: 4713-4720 - [c80]Caitlin Doogan, Wray L. Buntine:
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures. NAACL-HLT 2021: 3824-3848 - [c79]Wei Tan, Lan Du, Wray L. Buntine:
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. NeurIPS 2021: 10906-10918 - [i37]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. CoRR abs/2102.02586 (2021) - [i36]Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR abs/2102.09687 (2021) - [i35]He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR abs/2103.00498 (2021) - [i34]Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR abs/2104.05248 (2021) - [i33]Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine:
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. CoRR abs/2110.07160 (2021) - [i32]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. CoRR abs/2110.07161 (2021) - [i31]Lan Zhang, Wray L. Buntine, Ehsan Shareghi:
The Neglected Sibling: Isotropic Gaussian Posterior for VAE. CoRR abs/2110.07383 (2021) - [i30]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du:
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? CoRR abs/2110.07816 (2021) - [i29]Wei Tan, Lan Du, Wray L. Buntine:
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. CoRR abs/2110.14171 (2021) - 2020
- [j35]Wray L. Buntine:
Machine learning after the deep learning revolution. Frontiers Comput. Sci. 14(6): 146320 (2020) - [j34]Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local rule-based model interpretability with k-optimal associations. Inf. Sci. 540: 221-241 (2020) - [j33]He Zhang, François Petitjean, Wray L. Buntine:
Bayesian network classifiers using ensembles and smoothing. Knowl. Inf. Syst. 62(9): 3457-3480 (2020) - [c78]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-Scale Attributed Graphs. ADC 2020: 134-146 - [c77]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS 2020: 1684-1694 - [c76]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari:
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. COLING 2020: 3413-3421 - [c75]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. ECAI 2020: 1810-1817 - [c74]He Zhang, François Petitjean, Wray L. Buntine:
Hierarchical Gradient Smoothing for Probability Estimation Trees. PAKDD (1) 2020: 222-234 - [c73]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine:
Robust Attribute and Structure Preserving Graph Embedding. PAKDD (2) 2020: 593-606 - [i28]Laurent Valentin Jospin, Wray L. Buntine, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Hands-on Bayesian Neural Networks - a Tutorial for Deep Learning Users. CoRR abs/2007.06823 (2020) - [i27]He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine:
Neural Sinkhorn Topic Model. CoRR abs/2008.13537 (2020) - [i26]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari:
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. CoRR abs/2010.05445 (2020) - [i25]Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb:
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR abs/2011.06428 (2020)
2010 – 2019
- 2019
- [j32]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
Leveraging external information in topic modelling. Knowl. Inf. Syst. 61(2): 661-693 (2019) - [c72]He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine:
Leveraging Meta Information in Short Text Aggregation. ACL (1) 2019: 4042-4049 - [i24]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR abs/1905.00616 (2019) - [i23]Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. CoRR abs/1908.03840 (2019) - [i22]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-scale Attributed Graphs. CoRR abs/1912.00536 (2019) - [i21]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. CoRR abs/1912.03703 (2019) - 2018
- [j31]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. 107(8-10): 1303-1331 (2018) - [c71]Poorya Zaremoodi, Wray L. Buntine, Gholamreza Haffari:
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. ACL (2) 2018: 656-661 - [c70]Ming Liu, Wray L. Buntine, Gholamreza Haffari:
Learning How to Actively Learn: A Deep Imitation Learning Approach. ACL (1) 2018: 1874-1883 - [c69]Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML 2018: 192-207 - [c68]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine:
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS 2018: 1943-1951 - [c67]Ming Liu, Wray L. Buntine, Gholamreza Haffari:
Learning to Actively Learn Neural Machine Translation. CoNLL 2018: 334-344 - [c66]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Inter and Intra Topic Structure Learning with Word Embeddings. ICML 2018: 5887-5896 - [c65]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. NeurIPS 2018: 7966-7977 - [c64]Joan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray L. Buntine:
A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis. ECML/PKDD (2) 2018: 638-654 - [i20]Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR abs/1802.04009 (2018) - [i19]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. CoRR abs/1811.00717 (2018) - 2017
- [j30]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck:
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106(9-10): 1289-1329 (2017) - [c63]Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah:
Leveraging Linguistic Resources for Improving Neural Text Classification. ALTA 2017: 34-42 - [c62]He Zhao, Lan Du, Wray L. Buntine:
A Word Embeddings Informed Focused Topic Model. ACML 2017: 423-438 - [c61]Wray L. Buntine:
Backoff methods for estimating parameters of a Bayesian network. AMBN 2017: 3 - [c60]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. ICDM 2017: 635-644 - [c59]He Zhao, Lan Du, Wray L. Buntine:
Leveraging Node Attributes for Incomplete Relational Data. ICML 2017: 4072-4081 - [r10]Wray L. Buntine:
Bayesian Methods. Encyclopedia of Machine Learning and Data Mining 2017: 100-106 - [r9]Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine:
Graphical Models. Encyclopedia of Machine Learning and Data Mining 2017: 584-592 - [r8]Novi Quadrianto, Wray L. Buntine:
Linear Discriminant. Encyclopedia of Machine Learning and Data Mining 2017: 745-747 - [r7]Novi Quadrianto, Wray L. Buntine:
Linear Regression. Encyclopedia of Machine Learning and Data Mining 2017: 747-750 - [r6]Novi Quadrianto, Wray L. Buntine:
Regression. Encyclopedia of Machine Learning and Data Mining 2017: 1075-1080 - [i18]He Zhao, Lan Du, Wray L. Buntine:
Leveraging Node Attributes for Incomplete Relational Data. CoRR abs/1706.04289 (2017) - [i17]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes. CoRR abs/1708.07581 (2017) - [i16]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
MetaLDA: a Topic Model that Efficiently Incorporates Meta information. CoRR abs/1709.06365 (2017) - 2016
- [j29]Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du:
Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. Int. J. Approx. Reason. 78: 172-191 (2016) - [j28]Tanvir Ahamed, Reeva Lederman, Rachelle Bosua, Karin Verspoor, Wray L. Buntine, Graeme Hart:
Towards a Methodology for Nursing-Specific Clinical Decision Support Systems (CDSS). J. Decis. Syst. 25(Supplement): 23-34 (2016) - [j27]Kar Wai Lim, Wray L. Buntine:
Bibliographic analysis on research publications using authors, categorical labels and the citation network. Mach. Learn. 103(2): 185-213 (2016) - [c58]Ming Liu, Gholamreza Haffari, Wray L. Buntine:
Learning cascaded latent variable models for biomedical text classification. ALTA 2016: 128-132 - [c57]Alan Medlar, Kalle Ilves, Ping Wang, Wray L. Buntine, Dorota Glowacka:
PULP: A System for Exploratory Search of Scientific Literature. SIGIR 2016: 1133-1136 - [i15]Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network. CoRR abs/1609.06532 (2016) - [i14]Kar Wai Lim, Wray L. Buntine:
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. CoRR abs/1609.06578 (2016) - [i13]Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du:
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. CoRR abs/1609.06783 (2016) - [i12]Kar Wai Lim, Changyou Chen, Wray L. Buntine:
Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling. CoRR abs/1609.06791 (2016) - [i11]Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis with the Citation Network Topic Model. CoRR abs/1609.06826 (2016) - 2015
- [j26]Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb:
Introduction: special issue of selected papers of ACML 2013. Mach. Learn. 99(2): 165-167 (2015) - [j25]Changyou Chen, Wray L. Buntine, Nan Ding, Lexing Xie, Lan Du:
Differential Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 230-242 (2015) - [c56]Wray L. Buntine:
Making Topic Models more Usable. TM@CIKM 2015: 1 - [c55]Florence Forbes, Wray L. Buntine:
Special session on trends & controversies in data science (TCDS). DSAA 2015: XVII-XXVIII - 2014
- [c54]Simon Kocbek, Karin Verspoor, Wray L. Buntine:
Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models. ALTA 2014: 113-117 - [c53]Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis with the Citation Network Topic Model. ACML 2014 - [c52]Kar Wai Lim, Wray L. Buntine:
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. CIKM 2014: 1319-1328 - [c51]Wray L. Buntine, Swapnil Mishra:
Experiments with non-parametric topic models. KDD 2014: 881-890 - 2013
- [j24]Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda:
Introduction: special issue of selected papers of ACML 2012. Mach. Learn. 92(2-3): 221-223 (2013) - [j23]Francesco Bonchi, Wray L. Buntine, Ricard Gavaldà, Shengbo Guo:
Introduction to the special issue on social web mining. ACM Trans. Intell. Syst. Technol. 5(1): 5:1-5:2 (2013) - [c50]Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh:
Dependent Normalized Random Measures. ICML (3) 2013: 969-977 - [c49]Lan Du, Wray L. Buntine, Mark Johnson:
Topic Segmentation with a Structured Topic Model. HLT-NAACL 2013: 190-200 - [c48]Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie:
Improving LDA topic models for microblogs via tweet pooling and automatic labeling. SIGIR 2013: 889-892 - [i10]Wray L. Buntine:
Chain Graphs for Learning. CoRR abs/1302.4933 (2013) - [i9]Wray L. Buntine:
Some Properties of Plausible Reasoning. CoRR abs/1303.5708 (2013) - [i8]Wray L. Buntine:
Theory Refinement on Bayesian Networks. CoRR abs/1303.5709 (2013) - [i7]Wray L. Buntine:
Decision Tree Induction Systems: A Bayesian Analysis. CoRR abs/1304.2732 (2013) - 2012
- [j22]Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen:
Sequential latent Dirichlet allocation. Knowl. Inf. Syst. 31(3): 475-503 (2012) - [c47]Lan Du, Wray L. Buntine, Huidong Jin:
Modelling Sequential Text with an Adaptive Topic Model. EMNLP-CoNLL 2012: 535-545 - [c46]Changyou Chen, Nan Ding, Wray L. Buntine:
Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. ICML 2012 - [c45]Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine:
Score-Based Bayesian Skill Learning. ECML/PKDD (1) 2012: 106-121 - [c44]Steven C. H. Hoi, Wray L. Buntine:
Preface. ACML 2012 - [e3]Steven C. H. Hoi, Wray L. Buntine:
Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012. JMLR Proceedings 25, JMLR.org 2012 [contents] - [i6]Changyou Chen, Wray L. Buntine, Nan Ding:
Theory of Dependent Hierarchical Normalized Random Measures. CoRR abs/1205.4159 (2012) - [i5]Changyou Chen, Nan Ding, Wray L. Buntine:
Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. CoRR abs/1206.4671 (2012) - [i4]Wray L. Buntine, Aleks Jakulin:
Applying Discrete PCA in Data Analysis. CoRR abs/1207.4125 (2012) - 2011
- [c43]Wray L. Buntine:
Discovery in Text: Visualisation, Topics and Statistics. ALTA 2011: 2 - [c42]David Newman, Edwin V. Bonilla, Wray L. Buntine:
Improving Topic Coherence with Regularized Topic Models. NIPS 2011: 496-504 - [c41]Changyou Chen, Lan Du, Wray L. Buntine:
Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process. ECML/PKDD (1) 2011: 296-311 - [i3]Wray L. Buntine:
Operations for Learning with Graphical Models. CoRR abs/1105.2519 (2011) - 2010
- [j21]Tinne Tuytelaars, Christoph H. Lampert, Matthew B. Blaschko, Wray L. Buntine:
Unsupervised Object Discovery: A Comparison. Int. J. Comput. Vis. 88(2): 284-302 (2010) - [j20]Lan Du, Wray L. Buntine, Huidong Jin:
A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn. 81(1): 5-19 (2010) - [c40]Lan Du, Wray Lindsay Buntine, Huidong Jin:
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. ICDM 2010: 148-157 - [c39]Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars, Wray L. Buntine:
Beyond 2D-grids: a dependence maximization view on image browsing. Multimedia Information Retrieval 2010: 339-348 - [c38]James Petterson, Alexander J. Smola, Tibério S. Caetano, Wray L. Buntine, Shravan M. Narayanamurthy:
Word Features for Latent Dirichlet Allocation. NIPS 2010: 1921-1929 - [r5]Wray L. Buntine:
Bayesian Methods. Encyclopedia of Machine Learning 2010: 75-81 - [r4]Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine:
Graphical Models. Encyclopedia of Machine Learning 2010: 471-479 - [r3]Novi Quadrianto, Wray L. Buntine:
Linear Discriminant. Encyclopedia of Machine Learning 2010: 601-603 - [r2]Novi Quadrianto, Wray L. Buntine:
Linear Regression. Encyclopedia of Machine Learning 2010: 603-606 - [r1]Novi Quadrianto, Wray L. Buntine:
Regression. Encyclopedia of Machine Learning 2010: 838-842 - [i2]Wray L. Buntine, Marcus Hutter:
A Bayesian Review of the Poisson-Dirichlet Process. CoRR abs/1007.0296 (2010)
2000 – 2009
- 2009
- [j19]Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor:
Guest editors' introduction: special issue of selected papers from ECML PKDD 2009. Data Min. Knowl. Discov. 19(2): 173-175 (2009) - [j18]Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor:
Guest editors' introduction: Special Issue from ECML PKDD 2009. Mach. Learn. 76(2-3): 175-177 (2009) - [c37]Wray L. Buntine:
Estimating Likelihoods for Topic Models. ACML 2009: 51-64 - [c36]Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine:
Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM 2009: 938-943 - [c35]Jukka Perkiö, Tinne Tuytelaars, Wray L. Buntine:
Exploring Scale-Induced Feature Hierarchies in Natural Images. ICMLA 2009: 25-31 - [e2]Wray L. Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5781, Springer 2009, ISBN 978-3-642-04179-2 [contents] - [e1]Wray L. Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5782, Springer 2009, ISBN 978-3-642-04173-0 [contents] - 2008
- [c34]Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, Patrik Floréen, Joonas Kukkonen, Peter Peltonen:
Natural language retrieval of grocery products. CIKM 2008: 1413-1414 - [c33]Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, Patrik Floréen, Joonas Kukkonen:
Product retrieval for grocery stores. SIGIR 2008: 781-782 - 2006
- [j17]Wai Gen Yee, Michel Beigbeder, Wray L. Buntine:
SIGIR06 workshop report: Open Source Information Retrieval systems (OSIR06). SIGIR Forum 40(2): 61-65 (2006) - [c32]Gert Schmeltz Pedersen, Anders Ardö, Marc Cromme, Mike Taylor, Wray L. Buntine:
ALVIS - Superpeer Semantic Search Engine - ECDL 2006 Demo Submission. ECDL 2006: 461-462 - [c31]Michel Beigbeder, Wray L. Buntine, Wai Gen Yee:
Open source search and research. IWRIDL 2006: 5 - 2005
- [j16]Wray L. Buntine:
Open source search: a data mining platform. SIGIR Forum 39(1): 4-10 (2005) - [c30]Jukka Perkiö, Wray L. Buntine, Henry Tirri:
A temporally adaptive content-based relevance ranking algorithm. SIGIR 2005: 647-648 - [c29]Wray L. Buntine, Aleks Jakulin:
Discrete Component Analysis. SLSFS 2005: 1-33 - [c28]Wray L. Buntine, Karl Aberer, Ivana Podnar, Martin Rajman:
Opportunities from Open Source Search. Web Intelligence 2005: 2-8 - [c27]Jukka Perkiö, Ville H. Tuulos, Wray L. Buntine, Henry Tirri:
Multi-Faceted Information Retrieval System for Large Scale Email Archives. Web Intelligence 2005: 557-564 - 2004
- [c26]Wray L. Buntine, Michael P. Taylor:
ALVIS: Superpeer Semantic Search Engine. EWIMT 2004 - [c25]Wray L. Buntine:
Automated Synthesis of Data Analysis Programs: Learning in Logic. ILP 2004: 1 - [c24]Wray L. Buntine, Aleks Jakulin:
Applying Discrete PCA in Data Analysis. UAI 2004: 59-66 - [c23]Wray L. Buntine, Jaakko Löfström, Jukka Perkiö, Sami Perttu, Vladimir Poroshin, Tomi Silander, Henry Tirri, Antti J. Tuominen, Ville H. Tuulos:
A Scalable Topic-Based Open Source Search Engine. Web Intelligence 2004: 228-234 - [c22]Jukka Perkiö, Wray L. Buntine, Sami Perttu:
Exploring Independent Trends in a Topic-Based Search Engine. Web Intelligence 2004: 664-668 - 2003
- [c21]Wray L. Buntine, Sami Perttu:
Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction? AISTATS 2003: 57-64 - [c20]Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri:
Efficient Computing of Stochastic Complexity. AISTATS 2003: 171-178 - 2002
- [c19]Wray L. Buntine:
Variational Extensions to EM and Multinomial PCA. ECML 2002: 23-34 - [c18]Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray L. Buntine:
Automatic Derivation of Statistical Algorithms: The EM Family and Beyond. NIPS 2002: 673-680 - 2001
- [j15]Lixin Su, Wray L. Buntine, A. Richard Newton, Bradley S. Peters:
Learning as applied to stochastic optimization for standard-cellplacement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(4): 516-527 (2001)
1990 – 1999
- 1999
- [c17]Wray L. Buntine, Bernd Fischer, Thomas Pressburger:
Towards Automated Synthesis of Data Mining Programs. KDD 1999: 372-376 - 1998
- [j14]Wray L. Buntine:
Trends & Controversies: Will Domain-Specific Code Synthesis Become a Silver Bullet? IEEE Intell. Syst. 13(2): 9-15 (1998) - [c16]Lixin Su, Wray L. Buntine, A. Richard Newton, Bradley S. Peters:
Learning as applied to stochastic optimization for standard cell placement. ICCD 1998: 622-627 - [c15]Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse:
Analysing Rock Samples for the Mars Lander. KDD 1998: 299-303 - 1997
- [c14]Wray L. Buntine, Lixin Su, A. Richard Newton, Andrew Mayer:
Adaptive methods for netlist partitioning. ICCAD 1997: 356-363 - 1996
- [j13]Wray L. Buntine:
A Guide to the Literature on Learning Probabilistic Networks from Data. IEEE Trans. Knowl. Data Eng. 8(2): 195-210 (1996) - [p1]Wray L. Buntine:
Graphical Models for Discivering Knowledge. Advances in Knowledge Discovery and Data Mining 1996: 59-82 - 1995
- [j12]Valerie L. Shalin, Wray L. Buntine, S. Gillian Parker, James Higginbotham, Afzal Ballim, Anthony S. Maida, Charles R. Fletcher, David L. Kemerer, Lawrence A. Shapiro, Richard Wyatt, Deepak Kumar, Selmer Bringsjord, Bill Patterson:
Book reviews. Minds Mach. 5(2): 257-307 (1995) - [c13]Wray L. Buntine, Tarang Patel:
Intelligent Instruments: Discovering How to Turn Spectral Data into Information. KDD 1995: 33-38 - [c12]Wray L. Buntine:
Chain graphs for learning. UAI 1995: 46-54 - 1994
- [j11]Wray L. Buntine, Hans-Jürgen Bürckert:
On Solving Equations and Disequations. J. ACM 41(4): 591-629 (1994) - [j10]Wray L. Buntine:
Operations for Learning with Graphical Models. J. Artif. Intell. Res. 2: 159-225 (1994) - [j9]Katharina Morik, Francesco Bergadano, Wray L. Buntine:
Guest Editorial. Mach. Learn. 14(1): 137-138 (1994) - [j8]Wray L. Buntine, Andreas S. Weigend:
Computing second derivatives in feed-forward networks: a review. IEEE Trans. Neural Networks 5(3): 480-488 (1994) - [i1]Wray L. Buntine:
Operations for Learning with Graphical Models. CoRR abs/cs/9412102 (1994) - 1992
- [j7]Wray L. Buntine, Tim Niblett:
A Further Comparison of Splitting Rules for Decision-Tree Induction. Mach. Learn. 8: 75-85 (1992) - 1991
- [j6]Wray L. Buntine:
Modelling default and likelihood reasoning as probabilistic reasoning. Ann. Math. Artif. Intell. 4: 25-68 (1991) - [j5]Wray L. Buntine, Andreas S. Weigend:
Bayesian Back-Propagation. Complex Syst. 5(6) (1991) - [c11]Wray L. Buntine:
Classifiers: A Theoretical and Empirical Study. IJCAI 1991: 638-644 - [c10]Wray L. Buntine:
Some Properties of Plausible Reasoning. UAI 1991: 44-51 - [c9]Wray L. Buntine:
Theory Refinement on Bayesian Networks. UAI 1991: 52-60 - 1990
- [c8]Wray L. Buntine:
Myths and Legends in Learning Classification Rules. AAAI 1990: 736-742
1980 – 1989
- 1989
- [j4]Wray L. Buntine:
Inductive knowledge acquisition and induction methodologies. Knowl. Based Syst. 2(1): 52-61 (1989) - [c7]Wray L. Buntine:
Learning Classification Rules Using Bayes. ML 1989: 94-98 - [c6]Wray L. Buntine:
A Critique of the Valiant Model. IJCAI 1989: 837-842 - 1988
- [j3]Wray L. Buntine:
Generalized Subsumption and Its Applications to Induction and Redundancy. Artif. Intell. 36(2): 149-176 (1988) - [j2]Wray L. Buntine:
Decision tree induction systems: A Bayesian analysis. Int. J. Approx. Reason. 2(3): 330 (1988) - [c5]Stephen H. Muggleton, Wray L. Buntine:
Machine Invention of First Order Predicates by Inverting Resolution. ML 1988: 339-352 - 1987
- [j1]Wray L. Buntine:
Induction of Horn Clauses: Methods and the Plausible Generalization Algorithm. Int. J. Man Mach. Stud. 26(4): 499-519 (1987) - [c4]Wray L. Buntine:
Decision Tree Induction Systems: A Bayesian Analysis. UAI 1987: 109-128 - 1986
- [c3]Wray L. Buntine:
Generalised Subsumption and its Applications to Induction and Redundancy. ECAI 1986: 15-23
1970 – 1979
- 1976
- [c2]Wray Lindsay Buntine, Bryan Preas:
Design rule checking and analysis of IC mask designs. DAC 1976: 301-308 - [c1]Bryan Preas, Wray Lindsay Buntine, Charles W. Gwyn:
Automatic circuit analysis based on mask information. DAC 1976: 309-317
Coauthor Index
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