Wray L. Buntine

244 papers A* 31A 18B 4C 9Misc 6Journal 116Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Symbolic Translation of Language Models for Logical Reasoning. CoRR Ramya Keerthy Thatikonda, Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2026	A*	`conf`	Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning. AAAI Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2026	J	`jnl`	ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark. CoRR Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, Duy Mai Hoang, Chien Dinh Huynh, Inigo Jauregi Unanue, Massimo Piccardi, Wray L. Buntine, Dung D. Le
2025	J	`jnl`	ALScope: A Unified Toolkit for Deep Active Learning. CoRR Chenkai Wu, Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Gang Liu, Wray L. Buntine, Lan Du
2025	J	`jnl`	Assessing the Alignment of FOL Closeness Metrics with Human Judgement. CoRR Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi
2025	—	`conf`	Assessing the Sensitivity and Alignment of FOL Closeness Metrics. EMNLP (Findings) Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi
2025	J	`jnl`	Context-driven cold-start Web traffic forecasting. World Wide Web (WWW) Xin Zhou, Weiqing Wang, Wray L. Buntine, Christoph Bergmeir
2025	—	`conf`	Discrete Diffusion Language Model for Efficient Text Summarization. NAACL (Findings) Do Huu Dat, Duc Anh Do, Anh Tuan Luu, Wray L. Buntine
2025	A	`conf`	HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. WACV Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun
2025	J	`jnl`	LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. Trans. Assoc. Comput. Linguistics Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
2025	—	`conf`	Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition. ADMA (2) Wei Tan, Dan Nguyen, Chen Li, Wray L. Buntine, Haifeng Zhao, Lan Du
2025	A*	`conf`	Logical Reasoning with Outcome Reward Models for Test-Time Scaling. EMNLP Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi
2025	J	`jnl`	Logical Reasoning with Outcome Reward Models for Test-Time Scaling. CoRR Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi
2025	J	`jnl`	MoTime: A Dataset Suite for Multimodal Time Series Forecasting. CoRR Xin Zhou, Weiqing Wang, Francisco J. Baldán, Wray L. Buntine, Christoph Bergmeir
2025	A*	`conf`	Navigating Conflicting Views: Harnessing Trust for Learning. ICML Jueqing Lu, Wray L. Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe, Lan Du
2025	J	`jnl`	Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning. CoRR Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2025	—	`conf`	VerifiAgent: a Unified Verification Agent in Language Model Reasoning. EMNLP (Findings) Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2025	J	`jnl`	VerifiAgent: a Unified Verification Agent in Language Model Reasoning. CoRR Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2024	J	`jnl`	A Survey on the Real Power of ChatGPT. CoRR Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine
2024	J	`jnl`	Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. Wei Tan, Lan Du, Wray L. Buntine
2024	J	`jnl`	Discrete Diffusion Language Model for Long Text Summarization. CoRR Do Huu Dat, Do Duc Anh, Anh Tuan Luu, Wray L. Buntine
2024	J	`jnl`	Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
2024	A*	`conf`	Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. AAAI Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
2024	J	`jnl`	Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. CoRR Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine
2024	—	`conf`	Improving Vietnamese-English Medical Machine Translation. LREC/COLING Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine
2024	J	`jnl`	Improving Vietnamese-English Medical Machine Translation. CoRR Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine
2024	J	`jnl`	LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. CoRR Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du
2024	—	`conf`	MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. ACL (Short Papers) Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haffari, Wray L. Buntine
2024	J	`jnl`	MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations. CoRR Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Gholamreza Haffari, Wray L. Buntine
2024	J	`jnl`	Navigating Conflicting Views: Harnessing Trust for Learning. CoRR Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe
2024	J	`jnl`	OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation. CoRR Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham
2024	J	`jnl`	OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web (WWW) Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin
2024	—	`conf`	PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. ACL (Findings) Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi
2024	—	`conf`	Reward Engineering for Generating Semi-structured Explanation. EACL (Findings) Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2024	A	`conf`	Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CIKM Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir
2024	J	`jnl`	Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CoRR Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir
2024	J	`jnl`	Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification. CoRR Ramya Keerthy Thatikonda, Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2024	—	`conf`	Towards Uncertainty-Aware Language Agent. ACL (Findings) Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2024	J	`jnl`	Towards Uncertainty-Aware Language Agent. CoRR Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2023	A*	`conf`	A Survey on Out-of-Distribution Evaluation of Neural NLP Models. IJCAI Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
2023	J	`jnl`	A Survey on Out-of-Distribution Evaluation of Neural NLP Models. CoRR Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
2023	J	`jnl`	A systematic review of the use of topic models for short text social media analysis. Artif. Intell. Rev. Caitlin Doogan, Wray L. Buntine, Henry Linger
2023	A*	`conf`	AUC Maximization for Low-Resource Named Entity Recognition. AAAI Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023	C	`ed.`	Asian Conference on Machine Learning, ACML 2023, 11-14 November 2023, Istanbul, Turkey. ACML Berrin Yanikoglu, Wray L. Buntine
2023	J	`jnl`	Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. CoRR Wei Tan, Lan Du, Wray L. Buntine
2023	A*	`conf`	Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2023	A	`conf`	Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
2023	J	`jnl`	Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
2023	J	`jnl`	HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. CoRR Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun
2023	A*	`conf`	Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? ICDM Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023	J	`jnl`	Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? CoRR Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen
2023	A*	`conf`	MEG: Masked Ensemble Tabular Data Generator. ICDM Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine
2023	J	`jnl`	Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2023	J	`jnl`	PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. CoRR Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi
2023	J	`jnl`	Reward Engineering for Generating Semi-structured Explanation. CoRR Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2023	A	`conf`	Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
2023	J	`jnl`	Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
2022	J	`jnl`	AUC Maximization for Low-Resource Named Entity Recognition. CoRR Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du
2022	J	`jnl`	Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2022	—	`conf`	ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie
2022	—	`ed.`	Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022 AACL/IJCNLP (Findings) 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
2022	J	`jnl`	Hands-On Bayesian Neural Networks - A Tutorial for Deep Learning Users. IEEE Comput. Intell. Mag. Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Wray L. Buntine, Mohammed Bennamoun
2022	A*	`conf`	Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. EMNLP Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
2022	J	`jnl`	Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. CoRR Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare
2022	—	`conf`	Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari
2022	—	`conf`	On the Effect of Isotropy on VAE Representations of Text. ACL (2) Lan Zhang, Wray L. Buntine, Ehsan Shareghi
2022	—	`ed.`	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 AACL/IJCNLP (1) 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
2022	—	`ed.`	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 AACL/IJCNLP (2) 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
2022	J	`jnl`	SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine
2022	J	`jnl`	Understanding Hierarchical Processes. Entropy Wray L. Buntine
2022	J	`jnl`	Unsupervised Sentence Simplification via Dependency Parsing. CoRR Vy Vo, Weiqing Wang, Wray L. Buntine
2021	A*	`conf`	All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
2021	J	`jnl`	All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari
2021	J	`jnl`	Citation context-based topic models: discovering cited and citing topics from full text. Libr. Hi Tech Lixue Zou, Xiwen Liu, Wray L. Buntine, Yanli Liu
2021	J	`jnl`	Content-Aware Listwise Collaborative Filtering. Neurocomputing Rabeh Ravanifard, Abdolreza Mirzaei, Wray L. Buntine, Mehran Safayani
2021	Misc	`conf`	Curriculum Learning Effectively Improves Low Data VQA. ALTA Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari
2021	A*	`conf`	Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. NeurIPS Wei Tan, Lan Du, Wray L. Buntine
2021	J	`jnl`	Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. CoRR Wei Tan, Lan Du, Wray L. Buntine
2021	—	`conf`	Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP (Findings) Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
2021	J	`jnl`	Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? CoRR Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du
2021	—	`conf`	Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
2021	J	`jnl`	Neural Attention-Aware Hierarchical Topic Model. CoRR Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
2021	A*	`conf`	Neural Topic Model via Optimal Transport. ICLR He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2021	J	`jnl`	Recommending content using side information. Appl. Intell. Rabeh Ravanifard, Wray L. Buntine, Abdolreza Mirzaei
2021	J	`jnl`	SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine
2021	J	`jnl`	Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. CoRR Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine
2021	J	`jnl`	The Neglected Sibling: Isotropic Gaussian Posterior for VAE. CoRR Lan Zhang, Wray L. Buntine, Ehsan Shareghi
2021	—	`conf`	Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures. NAACL-HLT Caitlin Doogan, Wray L. Buntine
2021	A*	`conf`	Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2021	J	`jnl`	Topic Modelling Meets Deep Neural Networks: A Survey. CoRR He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
2021	—	`conf`	Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. EMNLP (Findings) Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
2021	J	`jnl`	Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. CoRR Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
2020	J	`jnl`	Bayesian network classifiers using ensembles and smoothing. Knowl. Inf. Syst. He Zhang, François Petitjean, Wray L. Buntine
2020	B	`conf`	Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. COLING Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari
2020	J	`jnl`	Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. CoRR Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari
2020	J	`jnl`	Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb
2020	Misc	`conf`	Gaussian Embedding of Large-Scale Attributed Graphs. ADC Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine
2020	J	`jnl`	Hands-on Bayesian Neural Networks - a Tutorial for Deep Learning Users. CoRR Laurent Valentin Jospin, Wray L. Buntine, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun
2020	—	`conf`	Hierarchical Gradient Smoothing for Probability Estimation Trees. PAKDD (1) He Zhang, François Petitjean, Wray L. Buntine
2020	J	`jnl`	LoRMIkA: Local rule-based model interpretability with k-optimal associations. Inf. Sci. Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine
2020	J	`jnl`	Machine learning after the deep learning revolution. Frontiers Comput. Sci. Wray L. Buntine
2020	A	`conf`	MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. ECAI Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine
2020	J	`jnl`	Neural Sinkhorn Topic Model. CoRR He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2020	—	`conf`	Robust Attribute and Structure Preserving Graph Embedding. PAKDD (2) Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine
2020	A	`conf`	Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
2019	J	`jnl`	Gaussian Embedding of Large-scale Attributed Graphs. CoRR Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine
2019	—	`conf`	Leveraging Meta Information in Short Text Aggregation. ACL (1) He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine
2019	J	`jnl`	Leveraging external information in topic modelling. Knowl. Inf. Syst. He Zhao, Lan Du, Wray L. Buntine, Gang Liu
2019	J	`jnl`	LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. CoRR Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine
2019	J	`jnl`	MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. CoRR Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray L. Buntine
2019	J	`jnl`	Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	—	`conf`	A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis. ECML/PKDD (2) Joan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray L. Buntine
2018	J	`jnl`	Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi
2018	—	`conf`	Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. ACL (2) Poorya Zaremoodi, Wray L. Buntine, Gholamreza Haffari
2018	A	`conf`	Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS He Zhao, Piyush Rai, Lan Du, Wray L. Buntine
2018	A*	`conf`	Dirichlet belief networks for topic structure learning. NeurIPS He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	J	`jnl`	Dirichlet belief networks for topic structure learning. CoRR He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	C	`conf`	Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine
2018	J	`jnl`	Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine
2018	A*	`conf`	Inter and Intra Topic Structure Learning with Word Embeddings. ICML He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	—	`conf`	Learning How to Actively Learn: A Deep Imitation Learning Approach. ACL (1) Ming Liu, Wray L. Buntine, Gholamreza Haffari
2018	B	`conf`	Learning to Actively Learn Neural Machine Translation. CoNLL Ming Liu, Wray L. Buntine, Gholamreza Haffari
2017	C	`conf`	A Word Embeddings Informed Focused Topic Model. ACML He Zhao, Lan Du, Wray L. Buntine
2017	J	`jnl`	Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes. CoRR François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi
2017	—	`conf`	Backoff methods for estimating parameters of a Bayesian network. AMBN Wray L. Buntine
2017	—	`ch.`	Bayesian Methods. Encyclopedia of Machine Learning and Data Mining Wray L. Buntine
2017	J	`jnl`	Efficient parameter learning of Bayesian network classifiers. Mach. Learn. Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck
2017	—	`ch.`	Graphical Models. Encyclopedia of Machine Learning and Data Mining Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine
2017	Misc	`conf`	Leveraging Linguistic Resources for Improving Neural Text Classification. ALTA Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah
2017	A*	`conf`	Leveraging Node Attributes for Incomplete Relational Data. ICML He Zhao, Lan Du, Wray L. Buntine
2017	J	`jnl`	Leveraging Node Attributes for Incomplete Relational Data. CoRR He Zhao, Lan Du, Wray L. Buntine
2017	—	`ch.`	Linear Discriminant. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Wray L. Buntine
2017	—	`ch.`	Linear Regression. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Wray L. Buntine
2017	A*	`conf`	MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. ICDM He Zhao, Lan Du, Wray L. Buntine, Gang Liu
2017	J	`jnl`	MetaLDA: a Topic Model that Efficiently Incorporates Meta information. CoRR He Zhao, Lan Du, Wray L. Buntine, Gang Liu
2017	—	`ch.`	Regression. Encyclopedia of Machine Learning and Data Mining Novi Quadrianto, Wray L. Buntine
2016	J	`jnl`	Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network. CoRR Kar Wai Lim, Wray L. Buntine
2016	J	`jnl`	Bibliographic Analysis with the Citation Network Topic Model. CoRR Kar Wai Lim, Wray L. Buntine
2016	J	`jnl`	Bibliographic analysis on research publications using authors, categorical labels and the citation network. Mach. Learn. Kar Wai Lim, Wray L. Buntine
2016	Misc	`conf`	Learning cascaded latent variable models for biomedical text classification. ALTA Ming Liu, Gholamreza Haffari, Wray L. Buntine
2016	J	`jnl`	Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. CoRR Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
2016	J	`jnl`	Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. Int. J. Approx. Reason. Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du
2016	A*	`conf`	PULP: A System for Exploratory Search of Scientific Literature. SIGIR Alan Medlar, Kalle Ilves, Ping Wang, Wray L. Buntine, Dorota Glowacka
2016	J	`jnl`	Towards a Methodology for Nursing-Specific Clinical Decision Support Systems (CDSS). J. Decis. Syst. Tanvir Ahamed, Reeva Lederman, Rachelle Bosua, Karin Verspoor, Wray L. Buntine, Graeme Hart
2016	J	`jnl`	Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. CoRR Kar Wai Lim, Wray L. Buntine
2016	J	`jnl`	Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling. CoRR Kar Wai Lim, Changyou Chen, Wray L. Buntine
2015	J	`jnl`	Differential Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. Changyou Chen, Wray L. Buntine, Nan Ding, Lexing Xie, Lan Du
2015	J	`jnl`	Introduction: special issue of selected papers of ACML 2013. Mach. Learn. Cheng Soon Ong, Wray L. Buntine, Tu Bao Ho, Masashi Sugiyama, Geoffrey I. Webb
2015	—	`conf`	Making Topic Models more Usable. TM@CIKM Wray L. Buntine
2015	B	`conf`	Special session on trends & controversies in data science (TCDS). DSAA Florence Forbes, Wray L. Buntine
2014	C	`conf`	Bibliographic Analysis with the Citation Network Topic Model. ACML Kar Wai Lim, Wray L. Buntine
2014	A*	`conf`	Experiments with non-parametric topic models. KDD Wray L. Buntine, Swapnil Mishra
2014	Misc	`conf`	Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models. ALTA Simon Kocbek, Karin Verspoor, Wray L. Buntine
2014	A	`conf`	Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. CIKM Kar Wai Lim, Wray L. Buntine
2013	J	`jnl`	Chain Graphs for Learning CoRR Wray L. Buntine
2013	J	`jnl`	Decision Tree Induction Systems: A Bayesian Analysis CoRR Wray L. Buntine
2013	—	`conf`	Dependent Normalized Random Measures. ICML (3) Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh
2013	A*	`conf`	Improving LDA topic models for microblogs via tweet pooling and automatic labeling. SIGIR Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie
2013	J	`jnl`	Introduction to the special issue on social web mining. ACM Trans. Intell. Syst. Technol. Francesco Bonchi, Wray L. Buntine, Ricard Gavaldà, Shengbo Guo
2013	J	`jnl`	Introduction: special issue of selected papers of ACML 2012. Mach. Learn. Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda
2013	J	`jnl`	Some Properties of Plausible Reasoning CoRR Wray L. Buntine
2013	J	`jnl`	Theory Refinement on Bayesian Networks CoRR Wray L. Buntine
2013	—	`conf`	Topic Segmentation with a Structured Topic Model. HLT-NAACL Lan Du, Wray L. Buntine, Mark Johnson
2012	J	`jnl`	Applying Discrete PCA in Data Analysis CoRR Wray L. Buntine, Aleks Jakulin
2012	J	`jnl`	Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling CoRR Changyou Chen, Nan Ding, Wray L. Buntine
2012	A*	`conf`	Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. ICML Changyou Chen, Nan Ding, Wray L. Buntine
2012	—	`conf`	Modelling Sequential Text with an Adaptive Topic Model. EMNLP-CoNLL Lan Du, Wray L. Buntine, Huidong Jin
2012	C	`conf`	Preface. ACML Steven C. H. Hoi, Wray L. Buntine
2012	C	`ed.`	Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012 ACML Steven C. H. Hoi, Wray L. Buntine
2012	—	`conf`	Score-Based Bayesian Skill Learning. ECML/PKDD (1) Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine
2012	J	`jnl`	Sequential latent Dirichlet allocation. Knowl. Inf. Syst. Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen
2012	J	`jnl`	Theory of Dependent Hierarchical Normalized Random Measures CoRR Changyou Chen, Wray L. Buntine, Nan Ding
2011	Misc	`conf`	Discovery in Text: Visualisation, Topics and Statistics. ALTA Wray L. Buntine
2011	—	`conf`	Improving Topic Coherence with Regularized Topic Models. NIPS David Newman, Edwin V. Bonilla, Wray L. Buntine
2011	J	`jnl`	Operations for Learning with Graphical Models CoRR Wray L. Buntine
2011	—	`conf`	Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process. ECML/PKDD (1) Changyou Chen, Lan Du, Wray L. Buntine
2010	J	`jnl`	A Bayesian Review of the Poisson-Dirichlet Process CoRR Wray L. Buntine, Marcus Hutter
2010	J	`jnl`	A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn. Lan Du, Wray L. Buntine, Huidong Jin
2010	—	`ch.`	Bayesian Methods. Encyclopedia of Machine Learning Wray L. Buntine
2010	—	`conf`	Beyond 2D-grids: a dependence maximization view on image browsing. Multimedia Information Retrieval Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars, Wray L. Buntine
2010	—	`ch.`	Graphical Models. Encyclopedia of Machine Learning Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine
2010	—	`ch.`	Linear Discriminant. Encyclopedia of Machine Learning Novi Quadrianto, Wray L. Buntine
2010	—	`ch.`	Linear Regression. Encyclopedia of Machine Learning Novi Quadrianto, Wray L. Buntine
2010	—	`ch.`	Regression. Encyclopedia of Machine Learning Novi Quadrianto, Wray L. Buntine
2010	J	`jnl`	Unsupervised Object Discovery: A Comparison. Int. J. Comput. Vis. Tinne Tuytelaars, Christoph H. Lampert, Matthew B. Blaschko, Wray L. Buntine
2010	—	`conf`	Word Features for Latent Dirichlet Allocation. NIPS James Petterson, Alexander J. Smola, Tibério S. Caetano, Wray L. Buntine, Shravan M. Narayanamurthy
2009	C	`conf`	Estimating Likelihoods for Topic Models. ACML Wray L. Buntine
2009	C	`conf`	Exploring Scale-Induced Feature Hierarchies in Natural Images. ICMLA Jukka Perkiö, Tinne Tuytelaars, Wray L. Buntine
2009	J	`jnl`	Guest editors' introduction: Special Issue from ECML PKDD 2009. Mach. Learn. Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor
2009	J	`jnl`	Guest editors' introduction: special issue of selected papers from ECML PKDD 2009. Data Min. Knowl. Discov. Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor
2009	A*	`conf`	Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine
2009	—	`ed.`	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I ECML/PKDD (1) Wray L. Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor
2009	—	`ed.`	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II ECML/PKDD (2) Wray L. Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor
2008	A	`conf`	Natural language retrieval of grocery products. CIKM Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, Patrik Floréen, Joonas Kukkonen, Peter Peltonen
2008	A*	`conf`	Product retrieval for grocery stores. SIGIR Petteri Nurmi, Eemil Lagerspetz, Wray L. Buntine, Patrik Floréen, Joonas Kukkonen
2006	—	`conf`	ALVIS - Superpeer Semantic Search Engine - ECDL 2006 Demo Submission. ECDL Gert Schmeltz Pedersen, Anders Ardö, Marc Cromme, Mike Taylor, Wray L. Buntine
2006	—	`conf`	Open source search and research. IWRIDL Michel Beigbeder, Wray L. Buntine, Wai Gen Yee
2006	J	`jnl`	SIGIR06 workshop report: Open Source Information Retrieval systems (OSIR06). SIGIR Forum Wai Gen Yee, Michel Beigbeder, Wray L. Buntine
2005	A*	`conf`	A temporally adaptive content-based relevance ranking algorithm. SIGIR Jukka Perkiö, Wray L. Buntine, Henry Tirri
2005	—	`conf`	Discrete Component Analysis. SLSFS Wray L. Buntine, Aleks Jakulin
2005	—	`conf`	Multi-Faceted Information Retrieval System for Large Scale Email Archives. Web Intelligence Jukka Perkiö, Ville H. Tuulos, Wray L. Buntine, Henry Tirri
2005	J	`jnl`	Open source search: a data mining platform. SIGIR Forum Wray L. Buntine
2005	—	`conf`	Opportunities from Open Source Search. Web Intelligence Wray L. Buntine, Karl Aberer, Ivana Podnar, Martin Rajman
2004	—	`conf`	A Scalable Topic-Based Open Source Search Engine. Web Intelligence Wray L. Buntine, Jaakko Löfström, Jukka Perkiö, Sami Perttu, Vladimir Poroshin, Tomi Silander, Henry Tirri, Antti J. Tuominen, Ville H. Tuulos
2004	—	`conf`	ALVIS: Superpeer Semantic Search Engine. EWIMT Wray L. Buntine, Michael P. Taylor
2004	A	`conf`	Applying Discrete PCA in Data Analysis. UAI Wray L. Buntine, Aleks Jakulin
2004	B	`conf`	Automated Synthesis of Data Analysis Programs: Learning in Logic. ILP Wray L. Buntine
2004	—	`conf`	Exploring Independent Trends in a Topic-Based Search Engine. Web Intelligence Jukka Perkiö, Wray L. Buntine, Sami Perttu
2003	A	`conf`	Efficient Computing of Stochastic Complexity. AISTATS Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri
2003	A	`conf`	Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction? AISTATS Wray L. Buntine, Sami Perttu
2002	—	`conf`	Automatic Derivation of Statistical Algorithms: The EM Family and Beyond. NIPS Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray L. Buntine
2002	—	`conf`	Variational Extensions to EM and Multinomial PCA. ECML Wray L. Buntine
2001	J	`jnl`	Learning as applied to stochastic optimization for standard-cellplacement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Lixin Su, Wray L. Buntine, A. Richard Newton, Bradley S. Peters
1999	A*	`conf`	Towards Automated Synthesis of Data Mining Programs. KDD Wray L. Buntine, Bernd Fischer, Thomas Pressburger
1998	A*	`conf`	Analysing Rock Samples for the Mars Lander. KDD Jonathan J. Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse
1998	C	`conf`	Learning as applied to stochastic optimization for standard cell placement. ICCD Lixin Su, Wray L. Buntine, A. Richard Newton, Bradley S. Peters
1998	J	`jnl`	Trends & Controversies: Will Domain-Specific Code Synthesis Become a Silver Bullet? IEEE Intell. Syst. Wray L. Buntine
1997	A	`conf`	Adaptive methods for netlist partitioning. ICCAD Wray L. Buntine, Lixin Su, A. Richard Newton, Andrew Mayer
1996	J	`jnl`	A Guide to the Literature on Learning Probabilistic Networks from Data. IEEE Trans. Knowl. Data Eng. Wray L. Buntine
1996	—	`ch.`	Graphical Models for Discivering Knowledge. Advances in Knowledge Discovery and Data Mining Wray L. Buntine
1995	J	`jnl`	Book reviews. Minds Mach. 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
1995	A	`conf`	Chain graphs for learning. UAI Wray L. Buntine
1995	A*	`conf`	Intelligent Instruments: Discovering How to Turn Spectral Data into Information. KDD Wray L. Buntine, Tarang Patel
1994	J	`jnl`	Computing second derivatives in feed-forward networks: a review. IEEE Trans. Neural Networks Wray L. Buntine, Andreas S. Weigend
1994	J	`jnl`	Guest Editorial. Mach. Learn. Katharina Morik, Francesco Bergadano, Wray L. Buntine
1994	J	`jnl`	On Solving Equations and Disequations. J. ACM Wray L. Buntine, Hans-Jürgen Bürckert
1994	J	`jnl`	Operations for Learning with Graphical Models. CoRR Wray L. Buntine
1994	J	`jnl`	Operations for Learning with Graphical Models. J. Artif. Intell. Res. Wray L. Buntine
1992	J	`jnl`	A Further Comparison of Splitting Rules for Decision-Tree Induction. Mach. Learn. Wray L. Buntine, Tim Niblett
1991	J	`jnl`	Bayesian Back-Propagation. Complex Syst. Wray L. Buntine, Andreas S. Weigend
1991	A*	`conf`	Classifiers: A Theoretical and Empirical Study. IJCAI Wray L. Buntine
1991	J	`jnl`	Modelling default and likelihood reasoning as probabilistic reasoning. Ann. Math. Artif. Intell. Wray L. Buntine
1991	A	`conf`	Some Properties of Plausible Reasoning. UAI Wray L. Buntine
1991	A	`conf`	Theory Refinement on Bayesian Networks. UAI Wray L. Buntine
1990	A*	`conf`	Myths and Legends in Learning Classification Rules. AAAI Wray L. Buntine
1989	A*	`conf`	A Critique of the Valiant Model. IJCAI Wray L. Buntine
1989	J	`jnl`	Inductive knowledge acquisition and induction methodologies. Knowl. Based Syst. Wray L. Buntine
1989	—	`conf`	Learning Classification Rules Using Bayes. ML Wray L. Buntine
1988	J	`jnl`	Decision tree induction systems: A Bayesian analysis. Int. J. Approx. Reason. Wray L. Buntine
1988	J	`jnl`	Generalized Subsumption and Its Applications to Induction and Redundancy. Artif. Intell. Wray L. Buntine
1988	—	`conf`	Machine Invention of First Order Predicates by Inverting Resolution. ML Stephen H. Muggleton, Wray L. Buntine
1987	A	`conf`	Decision Tree Induction Systems: A Bayesian Analysis. UAI Wray L. Buntine
1987	J	`jnl`	Induction of Horn Clauses: Methods and the Plausible Generalization Algorithm. Int. J. Man Mach. Stud. Wray L. Buntine
1986	A	`conf`	Generalised Subsumption and its Applications to Induction and Redundancy. ECAI Wray L. Buntine