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2020 – today
- 2023
[j113]Michael Bewong
, John Wondoh, Selasi Kwashie, Jixue Liu, Lin Liu, Jiuyong Li, Md Zahidul Islam, David Kernot:
DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text. IEEE Access 11: 32826-32841 (2023)- [j112]Jiuyong Li, Lin Liu, Shisheng Zhang, Saisai Ma, Thuc Duy Le, Jixue Liu:
Causal heterogeneity discovery by bottom-up pattern search for personalised decision making. Appl. Intell. 53(7): 8180-8194 (2023) - [j111]Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu:
Integrating Global and Local Feature Selection for Multi-Label Learning. ACM Trans. Knowl. Discov. Data 17(1): 4:1-4:37 (2023) - [j110]Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning Causal Representations for Robust Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 2750-2764 (2023) - [c101]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. PAKDD (1) 2023: 471-482 - [i38]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang:
Disentangled Representation for Causal Mediation Analysis. CoRR abs/2302.09694 (2023) - [i37]Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu:
Linking a predictive model to causal effect estimation. CoRR abs/2304.04566 (2023) - [i36]Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu:
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion. CoRR abs/2304.11969 (2023) - 2022
- [j109]Oscar Blessed Deho, Chen Zhan, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le:
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? Br. J. Educ. Technol. 53(4): 822-843 (2022) - [j108]Weijia Zhang, Jiuyong Li, Lin Liu:
A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling. ACM Comput. Surv. 54(8): 162:1-162:36 (2022) - [j107]Debo Cheng, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu, Kui Yu:
Sufficient dimension reduction for average causal effect estimation. Data Min. Knowl. Discov. 36(3): 1174-1196 (2022) - [j106]Jixue Liu, Jiuyong Li, Lin Liu:
FastOPM - A practical method for partial match of time series. Pattern Recognit. 130: 108808 (2022) - [j105]Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li:
Causal learner: A toolbox for causal structure and Markov blanket learning. Pattern Recognit. Lett. 163: 92-95 (2022) - [j104]Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Simon Oliver, Norman Mueller:
Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model. Remote. Sens. 14(13): 3047 (2022) - [j103]Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu:
PSL: An Algorithm for Partial Bayesian Network Structure Learning. ACM Trans. Knowl. Discov. Data 16(5): 93:1-93:25 (2022) - [c100]Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Randomize Adversarial Defense in a Light Way. Big Data 2022: 1080-1089 - [c99]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Decision Support for Disability Employment using Counterfactual Survival Analysis. Big Data 2022: 2103-2112 - [c98]Oscar Blessed Deho, Lin Liu, Srecko Joksimovic, Jiuyong Li, Chen Zhan, Jixue Liu:
Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models. GoodIT 2022: 32-38 - [c97]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral Instrument Method for Causal Inference without Complete Knowledge. IJCAI 2022: 4843-4849 - [c96]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? KDD 2022: 3981-3991 - [c95]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers. PAKDD (3) 2022: 92-104 - [c94]Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing Classifier Fairness with Collider Bias. PAKDD (2) 2022: 262-276 - [i35]Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Thuc Duy Le, Jixue Liu:
Ancestral instrument method for causal inference without a causal graph. CoRR abs/2201.03810 (2022) - [i34]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data. CoRR abs/2206.01931 (2022) - [i33]Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu:
Explanatory causal effects for model agnostic explanations. CoRR abs/2206.11529 (2022) - [i32]Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. CoRR abs/2208.09147 (2022) - [i31]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. CoRR abs/2208.09590 (2022) - [i30]Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Causal Inference with Conditional Instruments using Deep Generative Models. CoRR abs/2211.16246 (2022) - 2021
- [j102]Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le:
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. 22(3) (2021) - [j101]Andres M. Cifuentes-Bernal, Vu Viet Hoang Pham, Xiaomei Li, Lin Liu, Jiuyong Li, Thuc Duy Le:
A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes. Bioinform. 37(6): 807-814 (2021) - [j100]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le:
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. 37(19): 3285-3292 (2021) - [j99]Xiaomei Li, Buu Minh Thanh Truong, Taosheng Xu, Lin Liu, Jiuyong Li, Thuc Duy Le:
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis. BMC Bioinform. 22(1): 300 (2021) - [j98]Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le:
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data. BMC Bioinform. 22(1): 578 (2021) - [j97]Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. ACM Comput. Surv. 53(5): 111:1-111:36 (2021) - [j96]Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. Int. J. Data Sci. Anal. 11(2): 127-139 (2021) - [j95]Kui Yu, Lin Liu, Jiuyong Li:
A Unified View of Causal and Non-causal Feature Selection. ACM Trans. Knowl. Discov. Data 15(4): 63:1-63:46 (2021) - [c93]Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment Effect Estimation with Disentangled Latent Factors. AAAI 2021: 10923-10930 - [c92]Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu:
Training Neural Networks with Random Noise Images for Adversarial Robustness. CIKM 2021: 3358-3362 - [c91]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency. ICBK 2021: 125-132 - [c90]Jiuyong Li, Aniello Castiglione:
Message from the IEEE SmartData 2021 General Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: xxi - [c89]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2021: 1-2 - [c88]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability. KDD 2021: 3616-3626 - [c87]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery (CD2021). KDD 2021: 4141-4142 - [e10]Thuc Duy Le, Jiuyong Li, Gregory Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash:
The KDD 2021 Workshop on Causal Discovery, CD@KDD 2021, Singapore, August 15, 2021. Proceedings of Machine Learning Research 150, PMLR 2021 [contents] - [i29]Zhaolong Ling, Kui Yu, Yiwen Zhang, Lin Liu, Jiuyong Li:
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning. CoRR abs/2103.06544 (2021) - [i28]Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li:
Any Part of Bayesian Network Structure Learning. CoRR abs/2103.13810 (2021) - [i27]Kui Yu, Zhaolong Ling, Lin Liu, Hao Wang, Jiuyong Li:
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning. CoRR abs/2112.10369 (2021) - 2020
- [j94]Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
Detecting potential signals of adverse drug events from prescription data. Artif. Intell. Medicine 104: 101839 (2020) - [j93]Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le:
Correction to: Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. 21(1): 32 (2020) - [j92]Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. J. Biomed. Informatics 112: 103603 (2020) - [j91]Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu:
Accurate data-driven prediction does not mean high reproducibility. Nat. Mach. Intell. 2(1): 13-15 (2020) - [j90]Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, Thuc Duy Le:
Multi-Source Causal Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2240-2256 (2020) - [j89]Junpeng Zhang, Taosheng Xu, Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le:
LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Comput. Biol. 16(4) (2020) - [j88]Xiaomei Li, Lin Liu, Gregory J. Goodall, Andreas W. Schreiber, Taosheng Xu, Jiuyong Li, Thuc Duy Le:
A novel single-cell based method for breast cancer prognosis. PLoS Comput. Biol. 16(8) (2020) - [j87]Kui Yu, Lin Liu, Jiuyong Li:
Learning Markov Blankets From Multiple Interventional Data Sets. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2005-2019 (2020) - [j86]Jeffery Ansah, Lin Liu, Wei Kang, Jixue Liu, Jiuyong Li:
Leveraging burst in twitter network communities for event detection. World Wide Web 23(5): 2851-2876 (2020) - [c86]Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le:
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA 2020: 395-409 - [c85]Jixue Liu, Jiuyong Li, Feiyue Ye, Lin Liu, Thuc Duy Le, Ping Xiong, Hong-Cheu Liu:
Building Fair Predictive Models. Australasian Conference on Artificial Intelligence 2020: 216-229 - [c84]Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Intervention Recommendation for Improving Disability Employment. IEEE BigData 2020: 1671-1680 - [c83]Weijia Zhang, Lin Liu, Jiuyong Li:
Robust Multi-Instance Learning with Stable Instances. ECAI 2020: 1682-1689 - [c82]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal Query in Observational Data with Hidden Variables. ECAI 2020: 2551-2558 - [c81]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
LoPAD: A Local Prediction Approach to Anomaly Detection. PAKDD (2) 2020: 660-673 - [c80]Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
Evidence Weighted Tree Ensembles for Text Classification. SIGIR 2020: 1737-1740 - [i26]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal query in observational data with hidden variables. CoRR abs/2001.10269 (2020) - [i25]Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment effect estimation with disentangled latent factors. CoRR abs/2001.10652 (2020) - [i24]Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
Towards precise causal effect estimation from data with hidden variables. CoRR abs/2002.10091 (2020) - [i23]Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu:
A general framework for causal classification. CoRR abs/2003.11940 (2020) - [i22]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le:
Computational methods for cancer driver discovery: A survey. CoRR abs/2007.00887 (2020) - [i21]Weijia Zhang, Jiuyong Li, Lin Liu:
A unified survey on treatment effect heterogeneity modeling and uplift modeling. CoRR abs/2007.12769 (2020) - [i20]Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu:
Sufficient Dimension Reduction for Average Causal Effect Estimation. CoRR abs/2009.06444 (2020) - [i19]Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Assessing the Fairness of Classifiers with Collider Bias. CoRR abs/2010.03933 (2020) - [i18]Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning causal representations for robust domain adaptation. CoRR abs/2011.06317 (2020) - [i17]Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Dependency-based Anomaly Detection: Framework, Methods and Benchmark. CoRR abs/2011.06716 (2020)
2010 – 2019
- 2019
- [j85]Junpeng Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li:
Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer. Briefings Bioinform. 20(4): 1403-1419 (2019) - [j84]Vu Viet Hoang Pham, Junpeng Zhang, Lin Liu, Buu Minh Thanh Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc Duy Le:
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. BMC Bioinform. 20(1): 143:1-143:12 (2019) - [j83]Junpeng Zhang, Lin Liu, Taosheng Xu, Yong Xie, Chunwen Zhao, Jiuyong Li, Thuc Duy Le:
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules. BMC Bioinform. 20(1): 235:1-235:12 (2019) - [j82]Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Minh Thanh Truong, Jiuyong Li, Nini Rao, Thuc Duy Le:
Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinform. 20-S(23): 613 (2019) - [j81]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li, Kim-Kwang Raymond Choo:
A relative privacy model for effective privacy preservation in transactional data. Concurr. Comput. Pract. Exp. 31(23) (2019) - [j80]Saisai Ma, Jiuyong Li, Lin Liu, Thuc Duy Le:
Discovering context specific causal relationships. Intell. Data Anal. 23(4): 917-931 (2019) - [j79]Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray:
Identifying key factors of student academic performance by subgroup discovery. Int. J. Data Sci. Anal. 7(3): 227-245 (2019) - [j78]Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le:
Data-driven discovery of causal interactions. Int. J. Data Sci. Anal. 8(3): 285-297 (2019) - [j77]Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li:
Privacy preserving serial publication of transactional data. Inf. Syst. 82: 53-70 (2019) - [j76]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le:
CBNA: A control theory based method for identifying coding and non-coding cancer drivers. PLoS Comput. Biol. 15(12) (2019) - [j75]Selasi Kwashie, Jixue Liu, Jiuyong Li, Lin Liu, Markus Stumptner, Lujing Yang:
Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs). Proc. VLDB Endow. 12(6): 653-666 (2019) - [j74]Thuc Duy Le, Tao Hoang, Jiuyong Li, Lin Liu, Huawen Liu, Shu Hu:
A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1483-1495 (2019) - [j73]Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui:
Introduction to the Special Section on Advances in Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. 10(5): 45:1-45:3 (2019) - [c79]Md. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
A Semantics Aware Random Forest for Text Classification. CIKM 2019: 1061-1070 - [c78]Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2019: 1-3 - [c77]Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang:
Semantic Explanations in Ensemble Learning. PAKDD (1) 2019: 29-41 - [c76]Jeffery Ansah, Lin Liu, Wei Kang, Selasi Kwashie, Jixue Li, Jiuyong Li:
A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs. WWW 2019: 2565-2571 - [e9]Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019. Proceedings of Machine Learning Research 104, PMLR 2019 [contents] - [i16]Weijia Zhang, Jiuyong Li, Lin Liu:
Distributionally Robust Multi-instance Learning with Stable Instances. CoRR abs/1902.05066 (2019) - [i15]Jiuyong Li, Saisai Ma, Lin Liu, Thuc Duy Le, Jixue Liu, Yizhao Han:
Identify treatment effect patterns for personalised decisions. CoRR abs/1906.06080 (2019) - [i14]Jixue Liu, Selasi Kwashie, Jiuyong Li, Lin Liu, Michael Bewong:
Linking Graph Entities with Multiplicity and Provenance. CoRR abs/1908.04464 (2019) - [i13]Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. CoRR abs/1911.07147 (2019) - 2018
- [j72]Junpeng Zhang, Lin Liu, Jiuyong Li, Thuc Duy Le:
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer. Bioinform. 34(24): 4232-4240 (2018) - [j71]Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li:
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness. BMC Bioinform. 19-S(19): 61-72 (2018) - [j70]Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le:
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase. BMC Bioinform. 19-S(19): 179-188 (2018) - [j69]Tao Hoang, Jixue Liu, Elizabeth Roughead, Nicole Pratt, Jiuyong Li:
Supervised signal detection for adverse drug reactions in medication dispensing data. Comput. Methods Programs Biomed. 161: 25-38 (2018) - [j68]Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash:
Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. 6(1): 1-2 (2018) - [j67]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 101-115 (2018) - [j66]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 157-171 (2018) - [j65]Zan Zhang, Hao Wang, Lin Liu, Jiuyong Li:
Multi-label relational classification via node and label correlation. Neurocomputing 292: 72-81 (2018) - [j64]Junqiang Liu, Xingxing Zhang, Benjamin C. M. Fung, Jiuyong Li, Farkhund Iqbal:
Opportunistic mining of top-n high utility patterns. Inf. Sci. 441: 171-186 (2018) - [j63]Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li:
A data-driven method to detect adverse drug events from prescription data. J. Biomed. Informatics 85: 10-20 (2018) - [j62]Zan Zhang, Lin Liu, Hao Wang, Jiuyong Li, Daning Hu, Jiaqi Yan, René Algesheimer, Markus Meierer:
Collective behavior learning by differentiating personal preference from peer influence. Knowl. Based Syst. 159: 233-243 (2018) - [j61]Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long:
Predicting academic performance by considering student heterogeneity. Knowl. Based Syst. 161: 134-146 (2018) - [j60]Kui Yu, Lin Liu, Jiuyong Li, Huanhuan Chen:
Mining Markov Blankets Without Causal Sufficiency. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6333-6347 (2018) - [j59]