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ORCIDRaymond Y. K. Lau
Raymond Yiu-Keung Lau – Raymond Lau 0001
Person information
- affiliation: City University of Hong Kong, Department of Information Systems
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Raymond Lau 0002
![[0000-0001-5967-530X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5967-530X")
— Nanyang Technological University, School of Chemical & Biomedical Engineering, Singapore
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2020 – today
- 2024
[j96]Yongxiang Zhang, Raymond Y. K. Lau, Jingjun (David) Xu, Yanghui Rao, Yuefeng Li:
Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directions. Artif. Intell. Rev. 57(5): 113 (2024)- [j95]Qiping Wang, Raymond Yiu-Keung Lau, Eric Wai Ting Ngai, Jason Bennett Thatcher, Wei Xu:
Consumers' Opinion Orientations and Their Credit Risk: An Econometric Analysis Enhanced by Multimodal Analytics. J. Assoc. Inf. Syst. 25(4): 1 (2024) - [j94]Mingzhi Wang, Chunshan Li, Xiaofei Yang, Dianhui Chu, Zhiquan Zhou, Raymond Y. K. Lau:
QTU-Net: Quaternion Transformer-Based U-Net for Water Body Extraction of RGB Satellite Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c114]Zijian Zhang, Raymond Y. K. Lau:
Exploiting Multimodal Features and Deep Learning for Predicting Crowdfunding Successes. COINS 2024: 1-6 - 2023
- [j93]Bei Luo, Raymond Y. K. Lau, Chunping Li:
Emotion-regulatory chatbots for enhancing consumer servicing: An interpersonal emotion management approach. Inf. Manag. 60(5): 103794 (2023) - [j92]Qiping Wang, Tingxuan Su, Raymond Yiu-Keung Lau, Haoran Xie:
DeepEmotionNet: Emotion mining for corporate performance analysis and prediction. Inf. Process. Manag. 60(3): 103151 (2023) - [j91]Kai Yang, Raymond Y. K. Lau, Ahmed Abbasi:
Getting Personal: A Deep Learning Artifact for Text-Based Measurement of Personality. Inf. Syst. Res. 34(1): 194-222 (2023) - [j90]Qiping Wang, Raymond Yiu-Keung Lau, Yain-Whar Si, Haoran Xie, Xiaohui Tao:
Blockchain-Enhanced Smart Contract for Cost-Effective Insurance Claims Processing. J. Glob. Inf. Manag. 31(7): 1-21 (2023) - [j89]Yufu Chen, Yanghui Rao, Shurui Chen, Zhiqi Lei, Haoran Xie, Raymond Y. K. Lau, Jian Yin:
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. ACM Trans. Knowl. Discov. Data 17(5): 74:1-74:30 (2023) - [j88]Haopeng Ren, Yi Cai, Raymond Y. K. Lau, Ho-fung Leung, Qing Li:
Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification. IEEE Trans. Knowl. Data Eng. 35(5): 4852-4866 (2023) - [c113]Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract). ICDE 2023: 3823-3824 - [c112]Xiaolu Zhang, Raymond Y. K. Lau:
Leveraging Emotional Features and Machine Learning for Predicting Startup Funding Success. TENCON 2023: 387-392 - 2022
- [j87]Runtao Ren, Jinqi Su, Ban Yang, Raymond Y. K. Lau, Qilei Liu:
Novel Low-Power Construction of Chaotic S-Box in Multilayer Perceptron. Entropy 24(11): 1552 (2022) - [j86]Kai Yang, Hui Yuan, Raymond Y. K. Lau:
PsyCredit: An interpretable deep learning-based credit assessment approach facilitated by psychometric natural language processing. Expert Syst. Appl. 198: 116847 (2022) - [j85]Qiping Wang, Ling Luo, Haoran Xie, Yanghui Rao, Raymond Y. K. Lau, Detian Zhang:
A deep data augmentation framework based on generative adversarial networks. Multim. Tools Appl. 81(29): 42871-42887 (2022) - [j84]Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery. IEEE Trans. Knowl. Data Eng. 34(1): 219-235 (2022) - [j83]Bei Luo, Raymond Y. K. Lau, Chunping Li, Yain-Whar Si:
A critical review of state-of-the-art chatbot designs and applications. WIREs Data Mining Knowl. Discov. 12(1) (2022) - [j82]Han Zhang, Zongxi Li, Haoran Xie, Raymond Y. K. Lau, Gary Cheng, Qing Li, Dian Zhang:
Leveraging statistical information in fine-grained financial sentiment analysis. World Wide Web 25(2): 513-531 (2022) - 2021
- [j81]Hui Yuan, Yuanyuan Tang, Wei Xu, Raymond Yiu-Keung Lau:
Exploring the influence of multimodal social media data on stock performance: an empirical perspective and analysis. Internet Res. 31(3): 871-891 (2021) - [j80]Tao Wang, Yi Cai, Ho-fung Leung, Raymond Y. K. Lau, Haoran Xie, Qing Li:
On entropy-based term weighting schemes for text categorization. Knowl. Inf. Syst. 63(9): 2313-2346 (2021) - [j79]Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Sakir Hossain, Md-Mizanur Rahoman, Sumon Kumar Debnath, Md. Golam Rashed, Md. Zasim Uddin:
Privacy preserving big data analytics: A critical analysis of state-of-the-art. WIREs Data Mining Knowl. Discov. 11(1) (2021) - [c111]Kai Yang, Raymond Yiu-Keung Lau:
ExeAnalyzer: A Deep Generative Adversarial Network for Multimodal Online Impression Analysis and Startup Funding Prediction. HICSS 2021: 1-10 - [c110]Wenda He, Raymond Y. K. Lau:
A Hybrid Deep Learning Model for Emotion Detection in Emotion-sensitive Robo-advisors. IDSTA 2021: 93-98 - 2020
- [j78]Qiping Wang, Raymond Y. K. Lau, Kai Yang:
Does the interplay between the personality traits of CEOs and CFOs influence corporate mergers and acquisitions intensity? An econometric analysis with machine learning-based constructs. Decis. Support Syst. 139: 113424 (2020) - [j77]Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Abul Kalam Azad, Md. Sakir Hossain, Md. Kamal Hossain Chowdhury, B. K. Karmaker:
Healthcare informatics and analytics in big data. Expert Syst. Appl. 152: 113388 (2020) - [j76]Yuqing Wan, Raymond Yiu-Keung Lau, Yain-Whar Si:
Mining subsequent trend patterns from financial time series. Int. J. Wavelets Multiresolution Inf. Process. 18(3): 2050010:1-2050010:38 (2020) - [j75]Xiaofei Yang, Xiaofeng Zhang, Yunming Ye, Raymond Y. K. Lau, Shijian Lu, Xutao Li, Xiaohui Huang:
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification. Remote. Sens. 12(12): 2033 (2020) - [c109]Qiping Wang, Raymond Yiu-Keung Lau:
Is There a Relationship between Social Executives and Firms' Mergers and Acquisition Decisions: An Empirical Study Based on Twitter. PACIS 2020: 8 - [c108]Qiang Cao, Wei Hu, Sijia Zhou, Bei Luo, Yuxuan Yu, Stephen Shaoyi Liao, J. Leon Zhao, Raymond Yiu-Keung Lau:
The Role of Media Coverage on Pandemic Containment: Empirical Analysis of the COVID-19 Case. PACIS 2020: 162
2010 – 2019
- 2019
- [j74]Weilong Hu, Yain-Whar Si, Simon Fong, Raymond Yiu-Keung Lau:
A formal approach to candlestick pattern classification in financial time series. Appl. Soft Comput. 84 (2019) - [j73]Yi Cai, Haoran Xie, Raymond Y. K. Lau, Qing Li, Tak-Lam Wong, Fu Lee Wang:
Temporal event searches based on event maps and relationships. Appl. Soft Comput. 85 (2019) - [j72]Qiping Wang, Raymond Yiu-Keung Lau, Xudong Mao:
Blockchain-Enabled Smart Contracts for Enhancing Distributor-to-Consumer Transactions. IEEE Consumer Electron. Mag. 8(6): 22-28 (2019) - [j71]Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du:
Anchor Link Prediction across Attributed Networks via Network Embedding. Entropy 21(3): 254 (2019) - [j70]Kai Yang, Yi Cai, Ho-fung Leung, Raymond Y. K. Lau, Qing Li:
ITWF: A framework to apply term weighting schemes in topic model. Neurocomputing 350: 248-260 (2019) - [j69]Hamid Khobzi, Raymond Y. K. Lau, Terence Chun-Ho Cheung:
The outcome of online social interactions on Facebook pages: A study of user engagement behavior. Internet Res. 29(1): 2-23 (2019) - [j68]Heyong Wang, Ming Hong, Raymond Yiu-Keung Lau:
Utility-based feature selection for text classification. Knowl. Inf. Syst. 61(1): 197-226 (2019) - [j67]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley:
On the Effectiveness of Least Squares Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2947-2960 (2019) - [j66]Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang:
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. IEEE Trans. Geosci. Remote. Sens. 57(9): 7209-7220 (2019) - [c107]Tingxuan Su, Raymond Yiu-Keung Lau:
Collective Classification for Social Opinion Spam Detection. DSIT 2019: 181-186 - [c106]Qiping Wang, Raymond Y. K. Lau:
The Impact of Investors' Surprise Emotion on Post-M&A Performance: A Social Media Analytics Approach. ICIS 2019 - [c105]Kai Yang, Raymond Y. K. Lau:
Detecting Senior Executives' Personalities for Predicting Corporate Behaviors: An Attention-based Deep Learning Approach. ICIS 2019 - [c104]Wenping Zhang, Hui Yuan, Wei Xu, Raymond Y. K. Lau:
Hospital Reliability Evaluation in Chinese Context: A Study from the Decision Theory Perspective. ICIS 2019 - 2018
- [j65]Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang:
Stock Prediction via Sentimental Transfer Learning. IEEE Access 6: 73110-73118 (2018) - [j64]Hui Yuan, Wei Xu, Qian Li, Raymond Y. K. Lau:
Topic sentiment mining for sales performance prediction in e-commerce. Ann. Oper. Res. 270(1-2): 553-576 (2018) - [j63]Weiming Liang, Haoran Xie, Yanghui Rao, Raymond Y. K. Lau, Fu Lee Wang:
Universal affective model for Readers' emotion classification over short texts. Expert Syst. Appl. 114: 322-333 (2018) - [j62]Haoran Xie, Debby Dan Wang, Yanghui Rao, Tak-Lam Wong, Raymond Y. K. Lau, Li Chen, Fu Lee Wang:
Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing. Int. J. Mach. Learn. Cybern. 9(5): 837-852 (2018) - [j61]Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang:
Hyperspectral Image Classification With Deep Learning Models. IEEE Trans. Geosci. Remote. Sens. 56(9): 5408-5423 (2018) - [j60]Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau:
Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wirel. Commun. Mob. Comput. 2018: 9839432:1-9839432:13 (2018) - [c103]Xiangsheng Li, Yanghui Rao, Haoran Xie, Yufu Chen, Raymond Y. K. Lau, Fu Lee Wang, Jian Yin:
Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top-N Recommender System. DASFAA (1) 2018: 133-149 - [c102]Yuefeng Li, Libiao Zhang, Yue Xu, Yiyu Yao, Raymond Y. K. Lau, Yutong Wu:
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions (Extended Abstract). ICDE 2018: 1827-1828 - [c101]Hui Yuan, Raymond Y. K. Lau, Michael C. S. Wong, Chunping Li:
Mining Emotions of the Public from Social Media for Enhancing Corporate Credit Rating. ICEBE 2018: 25-30 - [c100]Hui Yuan, Raymond Y. K. Lau, Wei Xu, Zhaokang Pan, Michael C. S. Wong:
Mining Individuals' Behavior Patterns from Social Media for Enhancing Online Credit Scoring. PACIS 2018: 163 - 2017
- [j59]Jiangning He, Hongyan Liu, Raymond Y. K. Lau, Jun He:
Relationship Identification Across Heterogeneous Online Social Networks. Comput. Intell. 33(3): 448-477 (2017) - [j58]Long Song, Raymond Yiu-Keung Lau, Ron Chi-Wai Kwok, Kristijan Mirkovski, Wenyu Dou:
Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection. Electron. Commer. Res. 17(1): 51-81 (2017) - [j57]Md. Ileas Pramanik, Raymond Y. K. Lau, Haluk Demirkan, Md. Abul Kalam Azad:
Smart health: Big data enabled health paradigm within smart cities. Expert Syst. Appl. 87: 370-383 (2017) - [j56]Shaokai Wang, Eric Ke Wang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaolin Du:
Multi-view learning via multiple graph regularized generative model. Knowl. Based Syst. 121: 153-162 (2017) - [j55]Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y. K. Lau:
Semi-supervised Collective Classification in Multi-attribute Network Data. Neural Process. Lett. 45(1): 153-172 (2017) - [j54]Xiangsheng Li, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang:
Bootstrapping Social Emotion Classification with Semantically Rich Hybrid Neural Networks. IEEE Trans. Affect. Comput. 8(4): 428-442 (2017) - [j53]Yang Gao, Yuefeng Li, Raymond Y. K. Lau, Yue Xu, Md. Abul Bashar:
Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model. ACM Trans. Intell. Syst. Technol. 9(1): 3:1-3:22 (2017) - [j52]Yuefeng Li, Libiao Zhang, Yue Xu, Yiyu Yao, Raymond Yiu-Keung Lau, Yutong Wu:
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions. IEEE Trans. Knowl. Data Eng. 29(7): 1438-1451 (2017) - [j51]Md. Ileas Pramanik, Raymond Y. K. Lau, Wei T. Yue, Yunming Ye, Chunping Li:
Big data analytics for security and criminal investigations. WIREs Data Mining Knowl. Discov. 7(4) (2017) - [c99]Hamid Khobzi, Raymond Yiu-Keung Lau, Terence Chun-Ho Cheung:
Consumers' Sentiments and Popularity of Brand Posts in Social Media: The Moderating Role of Up-votes. HICSS 2017: 1-10 - [c98]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley:
Least Squares Generative Adversarial Networks. ICCV 2017: 2813-2821 - [c97]Raymond Y. K. Lau:
Toward a social sensor based framework for intelligent transportation. WoWMoM 2017: 1-6 - [i3]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley:
On the Effectiveness of Least Squares Generative Adversarial Networks. CoRR abs/1712.06391 (2017) - 2016
- [j50]Jie Zhao, Raymond Y. K. Lau, Wenping Zhang, Kaihang Zhang, Xu Chen, Deyu Tang:
Extracting and reasoning about implicit behavioral evidences for detecting fraudulent online transactions in e-Commerce. Decis. Support Syst. 86: 109-121 (2016) - [j49]Hui Yuan, Raymond Y. K. Lau, Wei Xu:
The determinants of crowdfunding success: A semantic text analytics approach. Decis. Support Syst. 91: 67-76 (2016) - [j48]Raymond Y. K. Lau, J. Leon Zhao, Guoqing Chen, Xunhua Guo:
Big data commerce. Inf. Manag. 53(8): 929-933 (2016) - [j47]Haoran Xie, Di Zou, Raymond Y. K. Lau, Fu Lee Wang, Tak-Lam Wong:
Generating Incidental Word-Learning Tasks via Topic-Based and Load-Based Profiles. IEEE Multim. 23(1): 60-70 (2016) - [j46]Yi Cai, Wen-Hao Chen, Ho-fung Leung, Qing Li, Haoran Xie, Raymond Y. K. Lau, Huaqing Min, Fu Lee Wang:
Context-aware ontologies generation with basic level concepts from collaborative tags. Neurocomputing 208: 25-38 (2016) - [j45]Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li:
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. Inf. Process. Manag. 52(1): 61-72 (2016) - [j44]Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond Y. K. Lau, Feng Liu:
Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift. Inf. Sci. 357: 125-143 (2016) - [j43]Xiaohui Huang, Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang:
Time series k-means: A new k-means type smooth subspace clustering for time series data. Inf. Sci. 367-368: 1-13 (2016) - [j42]Xiaolin Du, Yunming Ye, Raymond Y. K. Lau, Yueping Li, Xiaohui Huang:
Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media. Multim. Tools Appl. 75(12): 7159-7186 (2016) - [c96]Kai Yang, Yi Cai, Zhenhong Chen, Ho-fung Leung, Raymond Y. K. Lau:
Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation. COLING 2016: 2238-2247 - [c95]Md. Ileas Pramanik, Wenping Zhang, Raymond Y. K. Lau, Chunping Li:
A Framework for Criminal Network Analysis Using Big Data. ICEBE 2016: 17-23 - [c94]Md. Ileas Pramanik, Raymond Y. K. Lau, Wenping Zhang:
K-Anonymity through the Enhanced Clustering Method. ICEBE 2016: 85-91 - [c93]Liqiao Zhang, Hui Yuan, Raymond Y. K. Lau:
Predicting and Visualizing Consumer Sentiments in Online Social Media. ICEBE 2016: 92-99 - [c92]Md. Ileas Pramanik, Raymond Y. K. Lau, Wei T. Yue:
A Privacy Preserving Framework for Big Data in E-Government. PACIS 2016: 72 - [c91]Md. Ileas Pramanik, Raymond Y. K. Lau, Md. Kamal Hossain Chowdhury:
Automatic Crime Detector: A Framework for Criminal Pattern Detection in Big Data Era. PACIS 2016: 311 - [i2]Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang:
Multi-class Generative Adversarial Networks with the L2 Loss Function. CoRR abs/1611.04076 (2016) - 2015
- [j41]Shaokun Fan, Raymond Y. K. Lau, J. Leon Zhao:
Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix. Big Data Res. 2(1): 28-32 (2015) - [j40]Xiaolin Du, Yunming Ye, Raymond Y. K. Lau, Yueping Li:
OpinionRings: Inferring and visualizing the opinion tendency of socially connected users. Decis. Support Syst. 75: 11-24 (2015) - [j39]Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau:
Predictive [Guest editors' introduction]. IEEE Intell. Syst. 30(2): 6-8 (2015) - [j38]Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau:
Predictive Analytics: Predictive Modeling at the Micro Level. IEEE Intell. Syst. 30(3): 6-8 (2015) - [j37]Ahmed Abbasi, Raymond Y. K. Lau, Donald E. Brown:
Predicting Behavior. IEEE Intell. Syst. 30(3): 35-43 (2015) - [j36]Raymond Y. K. Lau, J. Leon Zhao, Wenping Zhang, Yi Cai, Eric W. T. Ngai:
Learning Context-Sensitive Domain Ontologies from Folksonomies: A Cognitively Motivated Method. INFORMS J. Comput. 27(3): 561-578 (2015) - [j35]Wei Du, Raymond Yiu-Keung Lau, Jian Ma, Wei Xu:
A multi-faceted method for science classification schemes (SCSs) mapping in networking scientific resources. Scientometrics 105(3): 2035-2056 (2015) - [c90]Di Wu, Chunping Li, Raymond Y. K. Lau:
Topic Based Information Diffusion Prediction Model with External Trends. ICEBE 2015: 29-36 - [c89]Shaokai Wang, Yunming Ye, Raymond Y. K. Lau:
A Generative Model with Ensemble Manifold Regularization for Multi-view Clustering. ICIC (3) 2015: 109-114 - [c88]Yang Yang, Shuyue Hu, Yi Cai, Qing Du, Ho-fung Leung, Raymond Y. K. Lau:
Exploring Reviews and Ratings on Reviews for Personalized Search. ICWL Workshops 2015: 140-150 - 2014
- [j34]Raymond Y. K. Lau, Yunqing Xia, Yunming Ye:
A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media. IEEE Comput. Intell. Mag. 9(1): 31-43 (2014) - [j33]Stephen Shaoyi Liao, Jiadong Zhang, Raymond Lau, Tian-Ying Wu:
Coalition formation based on marginal contributions and the Markov process. Decis. Support Syst. 57: 355-363 (2014) - [j32]Yi Cai, Raymond Y. K. Lau, Stephen S. Y. Liao, Chunping Li, Ho-fung Leung, Louis C. K. Ma:
Object typicality for effective Web of Things recommendations. Decis. Support Syst. 63: 52-63 (2014) - [j31]Raymond Y. K. Lau, Chunping Li, Stephen S. Y. Liao:
Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis. Decis. Support Syst. 65: 80-94 (2014) - [j30]Ziang Li, Wei Xu, Likuan Zhang, Raymond Y. K. Lau:
An ontology-based Web mining method for unemployment rate prediction. Decis. Support Syst. 66: 114-122 (2014) - [j29]Kaiquan Xu, Stephen Shaoyi Liao, Raymond Y. K. Lau, J. Leon Zhao:
Effective Active Learning Strategies for the Use of Large-Margin Classifiers in Semantic Annotation: An Optimal Parameter Discovery Perspective. INFORMS J. Comput. 26(3): 461-483 (2014) - [j28]Tao Wang, Yi Cai, Ho-fung Leung, Raymond Y. K. Lau, Qing Li, Huaqing Min:
Product aspect extraction supervised with online domain knowledge. Knowl. Based Syst. 71: 86-100 (2014) - [c87]Yunqing Xia, Haizhou Lin, Raymond Y. K. Lau, Yi Liu:
Leaning to Train: Linking Financial News Articles to Company Short Names. ICEBE 2014: 240-245 - [c86]Wenping Zhang, Raymond Y. K. Lau, Chunping Li:
Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media. ICIS 2014 - [c85]Guoyu Tang, Yunqing Xia, Weizhi Wang, Raymond Lau, Fang Zheng:
Clustering tweets usingWikipedia concepts. LREC 2014: 2262-2267 - [c84]Long Song, Raymond Y. K. Lau, Chunxiao Yin:
Discriminative Topic Mining for Social Spam Detection. PACIS 2014: 378 - 2013
- [j27]Yunqing Xia, Weifeng Su, Raymond Y. K. Lau, Yi Liu:
Discovering latent commercial networks from online financial news articles. Enterp. Inf. Syst. 7(3): 303-331 (2013) - [c83]Wenping Zhang, Raymond Lau:
The Design of a Network-Based Model for Business Performance Prediction. ICIS 2013 - 2012
- [j26]Dawei Song, Qiang Huang, Peter Bruza, Raymond Lau:
An Aspect Query Language Model Based on Query Decomposition and High-Order Contextual Term Associations. Comput. Intell. 28(1): 1-23 (2012) - [j25]Yuefeng Li, Xujuan Zhou, Peter Bruza, Yue Xu, Raymond Y. K. Lau:
A two-stage decision model for information filtering. Decis. Support Syst. 52(3): 706-716 (2012) - [j24]Yunhong Xu, Xitong Guo, Jinxing Hao, Jian Ma, Raymond Y. K. Lau, Wei Xu:
Combining social network and semantic concept analysis for personalized academic researcher recommendation. Decis. Support Syst. 54(1): 564-573 (2012) - [j23]Kaiquan Xu, Xitong Guo, Jiexun Li, Raymond Y. K. Lau, Stephen Shaoyi Liao:
Discovering target groups in social networking sites: An effective method for maximizing joint influential power. Electron. Commer. Res. Appl. 11(4): 318-334 (2012) - [c82]Raymond Y. K. Lau, L. Song:
Mining fuzzy ontology for fuzzy granular IR systems. FUZZ-IEEE 2012: 1-8 - [c81]Wenping Zhang, Raymond Lau, Xiaohui Tao:
Mining Contextual Knowledge for Context-Aware Recommender Systems. ICEBE 2012: 356-360 - [c80]Wenping Zhang, Raymond Y. K. Lau, Stephen S. Y. Liao, Ron Chi-Wai Kwok:
A Probabilistic Generative Model for Latent Business Networks Mining. ICIS 2012 - [c79]Huan Zhao, Yunqing Xia, Raymond Y. K. Lau, Yi Liu:
Word sentiment polarity disambiguition based on opinion level context. ICMLC 2012: 2007-2012 - [c78]Long Song, Raymond Y. K. Lau, Yunqing Xia:
A novel fraudulent transaction detection model for enhanced reputation management at e-markets. ICMLC 2012: 2013-2018 - [c77]Wenping Zhang, Yi Cai, Raymond Y. K. Lau, Stephen S. Y. Liao, Ron Chi-Wai Kwok:
Semi-Supervised Text Mining For Dynamic Business Network Discovery. PACIS 2012: 138 - [c76]Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau, Hua Wang:
Unsupervised Multi-label Text Classification Using a World Knowledge Ontology. PAKDD (1) 2012: 480-492 - [c75]Yi Cai, Hong-Ke Zhao, Hao Han, Raymond Y. K. Lau, Ho-fung Leung, Huaqing Min:
Answering Typicality Query Based on Automatically Prototype Construction. Web Intelligence 2012: 362-366 - [c74]Wenping Zhang, Raymond Y. K. Lau, Yunqing Xia, Chunping Li, Wenjie Li:
Latent Business Networks Mining: A Probabilistic Generative Model. Web Intelligence 2012: 558-562 - 2011
- [j22]Raymond Y. K. Lau, Chapmann C. L. Lai, Yuefeng Li:
Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making. Int. J. Comput. Intell. Syst. 4(1): 54-65 (2011) - [j21]Raymond Y. K. Lau, Stephen Shaoyi Liao, Ron Chi-Wai Kwok, Kaiquan Xu, Yunqing Xia, Yuefeng Li:
Text mining and probabilistic language modeling for online review spam detection. ACM Trans. Manag. Inf. Syst. 2(4): 25:1-25:30 (2011) - [j20]Xin Yan, Raymond Y. K. Lau, Dawei Song, Xue Li, Jian Ma:
Toward a semantic granularity model for domain-specific information retrieval. ACM Trans. Inf. Syst. 29(3): 15:1-15:46 (2011) - [c73]Raymond Yiu-Keung Lau, Chun Lam Lai, Peter Bruza, Kam-Fai Wong:
Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons. CIKM 2011: 2457-2460 - [c72]Raymond Y. K. Lau, Wenping Zhang, Peter D. Bruza, Kam-Fai Wong:
Learning Domain-Specific Sentiment Lexicons for Predicting Product Sales. ICEBE 2011: 131-138 - [c71]Kaiquan Xu, Jiexun Li, Raymond Lau, Stephen Shaoyi Liao, Bing Fang:
An Effective Method of Discovering Target Groups on Social Networking Sites. ICIS 2011 - [c70]Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau:
Pattern Mining for a Two-Stage Information Filtering System. PAKDD (1) 2011: 363-374 - [c69]Dehong Gao, Renxian Zhang, Wenjie Li, Raymond Yiu-Keung Lau, Kam-Fai Wong:
Learning features through feedback for blog distillation. SIGIR 2011: 1085-1086 - 2010
- [j19]Jin-Xing Hao, Ron Chi-Wai Kwok, Raymond Yiu-Keung Lau, Angela Yan Yu:
Predicting problem-solving performance with concept maps: An information-theoretic approach. Decis. Support Syst. 48(4): 613-621 (2010) - [j18]Jonathan Weir, Raymond Lau, WeiQi Yan:
Digital Image Splicing Using Edges. Int. J. Digit. Crime Forensics 2(4): 63-75 (2010) - [j17]Raymond Y. K. Lau, Wenping Zhang:
Non-Monotonic Modeling for Personalized Services Retrieval and Selection. Int. J. Syst. Serv. Oriented Eng. 1(2): 55-68 (2010) - [j16]Raymond Y. K. Lau, Rachael Kwai Fun Ip, M. T. Chan, Ron Chi-Wai Kwok, Sharon W. M. Wong, Johnny C. F. So, Eva Y. W. Wong:
Podcasting: An Internet-Based Social Technology for Blended Learning. IEEE Internet Comput. 14(3): 33-41 (2010) - [c68]Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau:
Rough sets based reasoning and pattern mining for a two-stage information filtering system. CIKM 2010: 1429-1432 - [c67]Chapmann C. L. Lai, K. Q. Xu, Raymond Y. K. Lau, Yuefeng Li, Dawei Song:
High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection. ICDM Workshops 2010: 1120-1127 - [c66]Chapmann C. L. Lai, Kaiquan Xu, Raymond Y. K. Lau, Yuefeng Li, L. Jing:
Toward a Language Modeling Approach for Consumer Review Spam Detection. ICEBE 2010: 1-8 - [c65]Raymond Y. K. Lau, Stephen Shaoyi Liao, Kaiquan Xu:
An Empirical Study of Online Consumer Review Spam: A Design Science Approach. ICIS 2010: 103 - [c64]Yunhong Xu, Jinxing Hao, Raymond Y. K. Lau, Jian Ma, Wei Xu, Dingtao Zhao:
A Personalized Researcher Recommendation Approach in Academic Contexts: Combining Social Networks and Semantic Concepts Analysis. PACIS 2010: 144 - [c63]Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau, Shlomo Geva:
Ontology-Based Specific and Exhaustive User Profiles for Constraint Information Fusion for Multi-agents. Web Intelligence 2010: 264-271 - [c62]Raymond Y. K. Lau, Wenping Zhang, Yunqing Xia, Dawei Song:
Multi-facets Quality Assessment of Online Opinionated Expressions. WISE Workshops 2010: 212-225
2000 – 2009
- 2009
- [j15]Raymond Y. K. Lau, Dawei Song, Yuefeng Li, Terence Chun-Ho Cheung, Jin-Xing Hao:
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning. IEEE Trans. Knowl. Data Eng. 21(6): 800-813 (2009) - [c61]Kaiquan Xu, Stephen Shaoyi Liao, Raymond Y. K. Lau, Heng Tang, Shanshan Wang:
Building Comparative Product Relation Maps by Mining Consumer Opinions on the Web. AMCIS 2009: 179 - [c60]Abdulmohsen Algarni, Yuefeng Li, Yue Xu, Raymond Y. K. Lau:
An effective model of using negative relevance feedback for information filtering. CIKM 2009: 1605-1608 - [c59]Kaiquan Xu, Stephen Shaoyi Liao, Raymond Y. K. Lau, Lejian Liao, Heng Tang:
Self-Teaching Semantic Annotation Method for Knowledge Discovery from Text. HICSS 2009: 1-7 - [c58]Johnny C. F. So, Chapmann C. L. Lai, Raymond Y. K. Lau:
Ontological User Profiling and Language Modeling for Personalized Information Services. ICEBE 2009: 559-564 - [c57]Raymond Y. K. Lau, Chapmann C. L. Lai, Jian Ma, Yuefeng Li:
Automatic Domain Ontology Extraction for Context-Sensitive Opinion Mining. ICIS 2009: 35 - [c56]Kaiquan Xu, Stephen Shaoyi Liao, Raymond Y. K. Lau, Shanshan Wang:
Toward Semantic Annotation for Business Analysis: A Method for Reducing Training Examples. ICIS 2009: 58 - [c55]Raymond Lau, Jonathan Weir, WeiQi Yan:
Digital Image Splicing Using Edges. PCM 2009: 697-707 - [c54]Liping Jing, Raymond Y. K. Lau:
Granular Computing for Text Mining: New Research Challenges and Opportunities. RSFDGrC 2009: 478-485 - [c53]Raymond Y. K. Lau, Chapmann C. L. Lai, Yuefeng Li:
Mining Fuzzy Ontology for a Web-Based Granular Information Retrieval System. RSKT 2009: 239-246 - [p1]Raymond Y. K. Lau:
An Evolutionary Approach for Intelligent Negotiation Agents in e-Marketplaces. Intelligent Agents in the Evolution of Web and Applications 2009: 279-301 - 2008
- [j14]Raymond Y. K. Lau, Yuefeng Li, Dawei Song, Ron Chi-Wai Kwok:
Knowledge discovery for adaptive negotiation agents in e-marketplaces. Decis. Support Syst. 45(2): 310-323 (2008) - [j13]Joanna Yi-Hang Pong, Ron Chi-Wai Kwok, Raymond Yiu-Keung Lau, Jin-Xing Hao, Percy Ching-Chi Wong:
A comparative study of two automatic document classification methods in a library setting. J. Inf. Sci. 34(2): 213-230 (2008) - [j12]Raymond Y. K. Lau, On Wong, Yuefeng Li, Louis C. K. Ma:
Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining in E-Business. J. Manag. Inf. Syst. 25(1): 79-103 (2008) - [j11]Raymond Y. K. Lau, Peter D. Bruza, Dawei Song:
Towards a belief-revision-based adaptive and context-sensitive information retrieval system. ACM Trans. Inf. Syst. 26(2): 8:1-8:38 (2008) - [c52]Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau:
Pattern Taxonomy Mining for Information Filtering. Australasian Conference on Artificial Intelligence 2008: 416-422 - [c51]Yuefeng Li, Xujuan Zhou, Peter Bruza, Yue Xu, Raymond Y. K. Lau:
A two-stage text mining model for information filtering. CIKM 2008: 1023-1032 - [c50]Kaiquan Xu, Raymond Y. K. Lau, Stephen Shaoyi Liao, Lejian Liao:
Towards a SVM-struct Based Active Learning Algorithm for Least Cost Semantic Annotation. Web Intelligence/IAT Workshops 2008: 111-114 - [c49]Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y. K. Lau:
Two-Stage Model for Information Filtering. Web Intelligence/IAT Workshops 2008: 685-689 - [c48]Johnny C. F. So, K.-S. Wong, K.-F. Fung, S.-Y. Ho, Chapmann C. L. Lai, Raymond Y. K. Lau:
A Wiki Service for Investment Knowledge Management. ICEBE 2008: 681-686 - [c47]Raymond Y. K. Lau, Chapmann C. L. Lai:
Information Granulation for the Design of Granular Information Retrieval Systems. ICIS 2008: 179 - [c46]Kaiquan Xu, Stephen Shaoyi Liao, Raymond Y. K. Lau, Lejian Liao:
Knowledge Acquisition with Supervised Ontology Population. PACIS 2008: 85 - [c45]Rachael Kwai Fun Ip, Raymond Y. K. Lau, Mang Tang Chan, Eva Y. W. Wong, Sharon W. M. Wong, Johnny C. F. So:
Enhancing Student Learning with Podcasting, a Newly Emergent Social Technology. PACIS 2008: 186 - 2007
- [j10]Raymond Y. K. Lau:
Fuzzy Domain Ontology Discovery for Business Knowledge Management. IEEE Intell. Informatics Bull. 8(1): 29-41 (2007) - [j9]Dawei Song, Raymond Y. K. Lau, Peter D. Bruza, Kam-Fai Wong, Ding-Yi Chen:
An intelligent information agent for document title classification and filtering in document-intensive domains. Decis. Support Syst. 44(1): 251-265 (2007) - [j8]Raymond Y. K. Lau:
Towards a web services and intelligent agents-based negotiation system for B2B eCommerce. Electron. Commer. Res. Appl. 6(3): 260-273 (2007) - [j7]Raymond Y. K. Lau, Yuefeng Li, Sheng-Tang Wu, Xujuan Zhou:
Sequential Pattern Mining and Nonmonotonic Reasoning for Intelligent Information Agents. Int. J. Pattern Recognit. Artif. Intell. 21(4): 773-789 (2007) - [c44]Raymond Y. K. Lau, On Wong:
Mining Negotiation Knowledge for Adaptive Negotiation Agents in e-Marketplaces. HICSS 2007: 47 - [c43]Raymond Y. K. Lau, Jin-Xing Hao, Maolin Tang, Xujuan Zhou:
Towards Context-Sensitive Domain Ontology Extraction. HICSS 2007: 60 - [c42]Raymond Y. K. Lau:
Machine Learning for Negotiation Knowledge Discovery in e-Marketplaces. ICEBE 2007: 239-246 - [c41]Raymond Y. K. Lau, K.-S. Wong, K.-F. Fung, S.-Y. Ho:
Toward An On-Demand Option Rating Service for e-Business. ICEBE 2007: 414-417 - [c40]Raymond Y. K. Lau, Albert Y. K. Chung, Dawei Song, Qiang Huang:
Towards Fuzzy Domain Ontology Based Concept Map Generation for E-Learning. ICWL 2007: 90-101 - [c39]Maolin Tang, Raymond Y. K. Lau:
A Parallel Genetic Algorithm for Floorplan Area Optimization. ISDA 2007: 801-806 - [c38]Jin-Xing Hao, Ron Chi-Wai Kwok, Raymond Yiu-Keung Lau:
Predicting Problem-Solving Performance Using Concept Map. PACIS 2007: 104 - [c37]Raymond Y. K. Lau, Yuefeng Li, Yue Xu:
Mining Fuzzy Domain Ontology from Textual Databases. Web Intelligence 2007: 156-162 - [c36]Xujuan Zhou, Yuefeng Li, Peter Bruza, Sheng-Tang Wu, Yue Xu, Raymond Y. K. Lau:
Using Information Filtering in Web Data Mining Process. Web Intelligence 2007: 163-169 - 2006
- [j6]Raymond Y. K. Lau, Maolin Tang, On Wong, Stephen Milliner, Yi-Ping Phoebe Chen:
An evolutionary learning approach for adaptive negotiation agents. Int. J. Intell. Syst. 21(1): 41-72 (2006) - [c35]Xujuan Zhou, Yuefeng Li, Yue Xu, Raymond Lau:
Relevence Assessment of Topic Ontology. AMT 2006: 44-51 - [c34]Xujuan Zhou, Sheng-Tang Wu, Yuefeng Li, Yue Xu, Raymond Y. K. Lau, Peter D. Bruza:
Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining. Web Intelligence 2006: 558-564 - 2005
- [c33]Raymond Y. K. Lau:
Adaptive negotiation agents for e-business. ICEC 2005: 271-278 - [c32]Raymond Y. K. Lau:
Nonmonotonic reasoning for Web-based intelligent payment services. AMT 2005: 562-567 - [c31]Raymond Y. K. Lau, Yuefeng Li:
Sequential pattern mining and belief revision for adaptive information retrieval. AMT 2005: 585-590 - [c30]Maolin Tang, Raymond Y. K. Lau:
A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem. CIMCA/IAWTIC 2005: 708-713 - [c29]Raymond Y. K. Lau:
Towards Genetically Optimised Multi-Agent Multi-Issue Negotiations. HICSS 2005 - 2004
- [c28]Raymond Y. K. Lau, Maolin Tang, On Wong:
Towards Genetically Optimised Responsive Negotiation Agents. IAT 2004: 295-301 - [c27]Raymond Y. K. Lau, Siu Y. Chan:
Towards Belief Revision Logic Based Adaptive and Persuasive Negotiation Agents. PRICAI 2004: 605-614 - [c26]Raymond Y. K. Lau, Peter Bruza, Dawei Song:
Belief revision for adaptive information retrieval. SIGIR 2004: 130-137 - [c25]Raymond Y. K. Lau, Eivind Valdal:
Discovering Negotiation Knowledge for a Probabilistic Negotiation Web Service in e-Business. Web Intelligence 2004: 264-270 - 2003
- [j5]Raymond Y. K. Lau:
Context-sensitive text mining and belief revision for intelligent information retrieval on the web. Web Intell. Agent Syst. 1(3-4): 151-172 (2003) - [c24]Raymond Y. K. Lau, Brant Essam, Siu Y. Chan, Zi Huang:
Belief Revision for Adaptive Negotiation Agents. IAT 2003: 196-202 - [c23]Raymond Lau, On Wong:
Towards an Open Multi-Issue Negotiation Service for B2B E-Commerce. International Conference on Internet Computing 2003: 536-537 - [c22]Raymond Lau, On Wong, Brant Essam:
On Belief-Based Adaptive Negotiation Agents. IC-AI 2003: 867-873 - [c21]James Fan, Raymond Lau, Risto Miikkulainen:
Utilizing Domain Knowledge in Neuroevolution. ICML 2003: 170-177 - [c20]Raymond Y. K. Lau:
Belief Revision for Adaptive Recommender Agents in E-commerce. IDEAL 2003: 99-103 - [c19]Raymond Y. K. Lau, Peter van den Brand:
Belief Revision and Text Mining for Adaptive Recommender Agents. ISMIS 2003: 226-230 - [c18]Dawei Song, Peter Bruza, Zi Huang, Raymond Y. K. Lau:
Classifying Document Titles Based on Information Inference. ISMIS 2003: 297-306 - [c17]Raymond Y. K. Lau:
A Similarity-Based Learning Approach for Adaptive Negotiations. MLMTA 2003: 281-288 - [c16]Raymond Y. K. Lau:
Context Sensitive Text Mining and Belief Revision for Adaptive Information Retrieval. Web Intelligence 2003: 256-262 - 2002
- [j4]Raymond Lau:
The State of the Art in Adaptive Information Agents. Int. J. Artif. Intell. Tools 11(1): 19-61 (2002) - 2001
- [j3]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza:
Belief Revision for Adaptive Information Filtering Agents. Int. J. Cooperative Inf. Syst. 10(1-2): 57-79 (2001) - [j2]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza:
Maxi-Adjustment and Possibilistic Deduction for Adaptive Information Agents. J. Appl. Non Class. Logics 11(1-2): 169-201 (2001) - [c15]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza:
Nonmonotonic Reasoning or Adaptive Information Filtering. ACSC 2001: 109-116 - [c14]Raymond Lau:
Logic-Based Adaptive Information Agents on the Web. WWW Posters 2001 - 2000
- [c13]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza, Kam-Fai Wong:
Belief revision and possibilistic logic for adaptive information filtering agents. ICTAI 2000: 19- - [c12]On Wong, Raymond Lau:
Possibilistic Reasoning for Intelligent Payment Agents. PRICAI Workshops 2000: 170-182 - [c11]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza:
A Logic-Based Approach for Adaptive Information Filtering Agents. PRICAI Workshops 2000: 269-278 - [i1]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza:
Applying Maxi-adjustment to Adaptive Information Filtering Agents. CoRR cs.AI/0003014 (2000)
1990 – 1999
- 1999
- [c10]Raymond Lau, Arthur H. M. ter Hofstede, Peter Bruza:
A Study of Belief Revision in the Context of Adaptive Information Filtering. ICSC 1999: 1-10 - [c9]Stephanie Seneff, Raymond Lau, Joseph Polifroni:
Organization, communication, and control in the GALAXY-II conversational system. EUROSPEECH 1999: 1271-1274 - [c8]Bülent Basaran, Kiran Ganesh, Raymond Y. K. Lau, Artour Levin, Miles McCoo, Srinivasan Rangarajan, Naresh Sehgal:
GeneSys: A Leaf-Cell Layout Synthesis System for GHz VLSI Designs. VLSI Design 1999: 448-452 - 1998
- [b1]Raymond Lau:
Subword lexical modelling for speech recognition. Massachusetts Institute of Technology, Cambridge, MA, USA, 1998 - [c7]Raymond Lau, Stephanie Seneff:
A unified framework for sublexical and linguistic modelling supporting flexible vocabulary speech understanding. ICSLP 1998 - [c6]Stephanie Seneff, Edward Hurley, Raymond Lau, Christine Pao, Philipp Schmid, Victor Zue:
GALAXY-II: a reference architecture for conversational system development. ICSLP 1998 - 1997
- [j1]Raymond Lau, Giovanni Flammia, Christine Pao, Victor Zue:
WebGALAXY: Beyond Point and Click - a Conversational Interface to a Browser. Comput. Networks 29(8-13): 1385-1393 (1997) - [c5]Raymond Lau, Stephanie Seneff:
Providing sublexical constraints for word spotting within the ANGIE framework. EUROSPEECH 1997: 263-266 - [c4]Raymond Lau, Giovanni Flammia, Christine Pao, Victor W. Zue:
Webgalaxy - integrating spoken language and hypertext navigation. EUROSPEECH 1997: 883-886 - 1996
- [c3]Stephanie Seneff, Raymond Lau, Helen M. Meng:
ANGIE: a new framework for speech analysis based on morpho-phonological modelling. ICSLP 1996: 110-113 - 1993
- [c2]Raymond Lau, Ronald Rosenfeld, Salim Roukos:
Trigger-based language models: a maximum entropy approach. ICASSP (2) 1993: 45-48 - [c1]Raymond Lau, Ronald Rosenfeld, Salim Roukos:
Adaptive Language Modeling Using The Maximum Entropy Principle. HLT 1993
Coauthor Index
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