2025
Deconfounding representation learning for mitigating latent confounding effects in recommendation.
Knowl. Inf. Syst., July, 2025
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference.
Data Min. Knowl. Discov., July, 2025
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems.
CoRR, May, 2025
Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift.
Mach. Learn., January, 2025
Disentangled contrastive learning for fair graph representations.
Neural Networks, 2025
Meta-knowledge random attention update network for few-shot and anti-noise remaining useful life prediction.
Adv. Eng. Informatics, 2025
Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders.
Proceedings of the ACM on Web Conference 2025, 2025
Diffusion Models for Attribution.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning.
IEEE Trans. Knowl. Data Eng., December, 2024
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey.
ACM Comput. Surv., May, 2024
Using Surrogate Parameters to Enhance Monitoring of Community Wastewater Management System Performance for Sustainable Operations.
Sensors, March, 2024
Fairmod: making predictions fair in multiple protected attributes.
Knowl. Inf. Syst., March, 2024
Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data, February, 2024
Causal Feature Selection With Dual Correction.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models.
IEEE Trans. Learn. Technol., 2024
Partial Label Feature Selection: An Adaptive Approach.
IEEE Trans. Knowl. Data Eng., 2024
Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission.
,
,
,
,
,
,
,
,
,
,
,
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Counterfactual Samples Constructing and Training for Commonsense Statements Estimation.
CoRR, 2024
Disentangled Representation Learning for Causal Inference with Instruments.
CoRR, 2024
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data.
CoRR, 2024
Linking Model Intervention to Causal Interpretation in Model Explanation.
CoRR, 2024
Mitigating Dual Latent Confounding Biases in Recommender Systems.
CoRR, 2024
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.
CoRR, 2024
Towards Fair Graph Representation Learning in Social Networks.
CoRR, 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems.
CoRR, 2024
A Deconfounding Approach to Climate Model Bias Correction.
CoRR, 2024
Estimating Peer Direct and Indirect Effects in Observational Network Data.
CoRR, 2024
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems.
CoRR, 2024
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems.
CoRR, 2024
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables.
CoRR, 2024
A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery.
CoRR, 2024
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems.
Proceedings of the IEEE International Conference on Data Mining, 2024
Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
Multi-view Graph Neural Network for Fair Representation Learning.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Personalized Interventions to Increase the Employment Success of People With Disability.
IEEE Trans. Big Data, December, 2023
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation.
ACM Trans. Knowl. Discov. Data, November, 2023
Adaptive Skeleton Construction for Accurate DAG Learning.
IEEE Trans. Knowl. Data Eng., October, 2023
Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.
PLoS Comput. Biol., October, 2023
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Local Search for Efficient Causal Effect Estimation.
IEEE Trans. Knowl. Data Eng., September, 2023
Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why.
IEEE Trans. Learn. Technol., August, 2023
Multilabel Feature Selection: A Local Causal Structure Learning Approach.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Causal heterogeneity discovery by bottom-up pattern search for personalised decision making.
Appl. Intell., April, 2023
Learning Causal Representations for Robust Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023
Integrating Global and Local Feature Selection for Multi-Label Learning.
ACM Trans. Knowl. Discov. Data, January, 2023
Learning Class-Specific Spectral Patterns to Improve Deep Learning Based Scene-Level Fire Smoke Detection from Multi-Spectral Satellite Imagery.
CoRR, 2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion.
CoRR, 2023
Linking a predictive model to causal effect estimation.
CoRR, 2023
DATM: A Novel Data Agnostic Topic Modeling Technique With Improved Effectiveness for Both Short and Long Text.
IEEE Access, 2023
A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Disentangled Representation with Causal Constraints for Counterfactual Fairness.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023
Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference.
Proceedings of the IEEE International Conference on Data Mining, 2023
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation.
Proceedings of the IEEE International Conference on Big Data, 2023
Causal Disentanglement for Adversarial Defense.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Disentangled Representation for Causal Mediation Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Causal Inference with Conditional Instruments Using Deep Generative Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
PSL: An Algorithm for Partial Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data, 2022
Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model.
Remote. Sens., 2022
Causal learner: A toolbox for causal structure and Markov blanket learning.
Pattern Recognit. Lett., 2022
FastOPM - A practical method for partial match of time series.
Pattern Recognit., 2022
Sufficient dimension reduction for average causal effect estimation.
Data Min. Knowl. Discov., 2022
A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling.
ACM Comput. Surv., 2022
Explanatory causal effects for model agnostic explanations.
CoRR, 2022
Ancestral instrument method for causal inference without a causal graph.
CoRR, 2022
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?
Br. J. Educ. Technol., 2022
Assessing Classifier Fairness with Collider Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Ancestral Instrument Method for Causal Inference without Complete Knowledge.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022
Decision Support for Disability Employment using Counterfactual Survival Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022
Randomize Adversarial Defense in a Light Way.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
A Unified View of Causal and Non-causal Feature Selection.
ACM Trans. Knowl. Discov. Data, 2021
A general framework for causal classification.
Int. J. Data Sci. Anal., 2021
Causality-based Feature Selection: Methods and Evaluations.
ACM Comput. Surv., 2021
Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning.
CoRR, 2021
Any Part of Bayesian Network Structure Learning.
CoRR, 2021
Exploring cell-specific miRNA regulation with single-cell miRNA-mRNA co-sequencing data.
BMC Bioinform., 2021
Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis.
BMC Bioinform., 2021
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers.
Bioinform., 2021
A pseudotemporal causality approach to identifying miRNA-mRNA interactions during biological processes.
Bioinform., 2021
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge.
Briefings Bioinform., 2021
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
The KDD 2021 Workshop on Causal Discovery (CD2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021
Message from the IEEE SmartData 2021 General Chairs: iThings-GreenCom-CPSCom-SmartData-Cybermatics 2021.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021
Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
Training Neural Networks with Random Noise Images for Adversarial Robustness.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Treatment Effect Estimation with Disentangled Latent Factors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Leveraging burst in twitter network communities for event detection.
World Wide Web, 2020
Learning Markov Blankets From Multiple Interventional Data Sets.
IEEE Trans. Neural Networks Learn. Syst., 2020
LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer.
PLoS Comput. Biol., 2020
A novel single-cell based method for breast cancer prognosis.
PLoS Comput. Biol., 2020
Multi-Source Causal Feature Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Accurate data-driven prediction does not mean high reproducibility.
Nat. Mach. Intell., 2020
Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data.
J. Biomed. Informatics, 2020
Dependency-based Anomaly Detection: Framework, Methods and Benchmark.
CoRR, 2020
Assessing the Fairness of Classifiers with Collider Bias.
CoRR, 2020
Sufficient Dimension Reduction for Average Causal Effect Estimation.
CoRR, 2020
A unified survey on treatment effect heterogeneity modeling and uplift modeling.
CoRR, 2020
Computational methods for cancer driver discovery: A survey.
CoRR, 2020
Towards precise causal effect estimation from data with hidden variables.
CoRR, 2020
Correction to: Identifying miRNA synergism using multiple-intervention causal inference.
BMC Bioinform., 2020
<i>DriverGroup</i>: a novel method for identifying driver gene groups.
Bioinform., 2020
Detecting potential signals of adverse drug events from prescription data.
Artif. Intell. Medicine, 2020
Evidence Weighted Tree Ensembles for Text Classification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
LoPAD: A Local Prediction Approach to Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Robust Multi-Instance Learning with Stable Instances.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Causal Query in Observational Data with Hidden Variables.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Intervention Recommendation for Improving Disability Employment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Building Fair Predictive Models.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020
2019
Introduction to the Special Section on Advances in Causal Discovery and Inference.
ACM Trans. Intell. Syst. Technol., 2019
A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Certus: An Effective Entity Resolution Approach with Graph Differential Dependencies (GDDs).
Proc. VLDB Endow., 2019
CBNA: A control theory based method for identifying coding and non-coding cancer drivers.
PLoS Comput. Biol., 2019
Privacy preserving serial publication of transactional data.
Inf. Syst., 2019
Data-driven discovery of causal interactions.
Int. J. Data Sci. Anal., 2019
Identifying key factors of student academic performance by subgroup discovery.
Int. J. Data Sci. Anal., 2019
Discovering context specific causal relationships.
Intell. Data Anal., 2019
Identify treatment effect patterns for personalised decisions.
CoRR, 2019
Distributionally Robust Multi-instance Learning with Stable Instances.
CoRR, 2019
A relative privacy model for effective privacy preservation in transactional data.
Concurr. Comput. Pract. Exp., 2019
Identifying miRNA synergism using multiple-intervention causal inference.
BMC Bioinform., 2019
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules.
BMC Bioinform., 2019
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.
BMC Bioinform., 2019
Inferring and analyzing module-specific lncRNA-mRNA causal regulatory networks in human cancer.
Briefings Bioinform., 2019
A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs.
Proceedings of the World Wide Web Conference, 2019
Semantic Explanations in Ensemble Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019
Linking Graph Entities with Multiplicity and Provenance.
Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019
A Semantics Aware Random Forest for Text Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Efficient Outlier Detection for High-Dimensional Data.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Mining Markov Blankets Without Causal Sufficiency.
IEEE Trans. Neural Networks Learn. Syst., 2018
Collective behavior learning by differentiating personal preference from peer influence.
Knowl. Based Syst., 2018
Predicting academic performance by considering student heterogeneity.
Knowl. Based Syst., 2018
A data-driven method to detect adverse drug events from prescription data.
J. Biomed. Informatics, 2018
Opportunistic mining of top-<i>n</i> high utility patterns.
Inf. Sci., 2018
Multi-label relational classification via node and label correlation.
Neurocomputing, 2018
Authenticity and credibility aware detection of adverse drug events from social media.
Int. J. Medical Informatics, 2018
Guest Editorial: Special Issue on Causal Discovery 2017.
Int. J. Data Sci. Anal., 2018
An exploration of algorithmic discrimination in data and classification.
CoRR, 2018
FairMod - Making Predictive Models Discrimination Aware.
CoRR, 2018
Discovering Markov Blanket from Multiple interventional Datasets.
CoRR, 2018
Supervised signal detection for adverse drug reactions in medication dispensing data.
Comput. Methods Programs Biomed., 2018
Estimating heterogeneous treatment effect by balancing heterogeneity and fitness.
BMC Bioinform., 2018
miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase.
BMC Bioinform., 2018
LncmiRSRN: identification and analysis of long non-coding RNA related miRNA sponge regulatory network in human cancer.
Bioinform., 2018
Which Type of Classifier to Use for Networked Data, Connectivity Based or Feature Based?
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
SensorTree: Bursty Propagation Trees as Sensors for Protest Event Detection.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting.
Proceedings of the 17th IEEE International Conference On Trust, 2018
ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Information Propagation Trees for Protest Event Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Effective Outlier Detection based on Bayesian Network and Proximity.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction.
IEEE Trans. Multim., 2017
IEEE Trans. Knowl. Data Eng., 2017
Guest editorial: special issue on causal discovery.
Int. J. Data Sci. Anal., 2017
Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data.
Health Inf. Sci. Syst., 2017
Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer.
BMC Bioinform., 2017
Identifying miRNA sponge modules using biclustering and regulatory scores.
BMC Bioinform., 2017
Mining heterogeneous causal effects for personalized cancer treatment.
Bioinform., 2017
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.
Bioinform., 2017
Computational methods for identifying miRNA sponge interactions.
Briefings Bioinform., 2017
Beyond Understanding and Prediction: Data Mining for Action.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Utility Aware Clustering for Publishing Transactional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Identifying microRNA targets in epithelial-mesenchymal transition using joint-intervention causal inference.
Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics, 2017
Discrimination detection by causal effect estimation.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Access Time Oracle for Planar Graphs.
IEEE Trans. Knowl. Data Eng., 2016
Preface to the ACM TIST Special Issue on Causal Discovery and Inference.
ACM Trans. Intell. Syst. Technol., 2016
From Observational Studies to Causal Rule Mining.
ACM Trans. Intell. Syst. Technol., 2016
Mining combined causes in large data sets.
Knowl. Based Syst., 2016
A hybrid approach to prevent composition attacks for independent data releases.
Inf. Sci., 2016
Building Diversified Multiple Trees for Classification in High Dimensional Noise Data.
CoRR, 2016
Identification of miRNA-mRNA regulatory modules by exploring collective group relationships.
BMC Genom., 2016
Detecting signals of detrimental prescribing cascades from social media.
Artif. Intell. Medicine, 2016
An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations.
Proceedings of the Databases Theory and Applications, 2016
2015
Practical Approaches to Causal Relationship Exploration
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-3-319-14433-7, 2015
Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression.
Neural Process. Lett., 2015
Using causal discovery for feature selection in multivariate numerical time series.
Mach. Learn., 2015
R-U policy frontiers for health data de-identification.
J. Am. Medical Informatics Assoc., 2015
A fast PC algorithm for high dimensional causal discovery with multi-core PCs.
CoRR, 2015
ParallelPC: an R package for efficient constraint based causal exploration.
CoRR, 2015
From miRNA regulation to miRNA-TF co-regulation: computational approaches and challenges.
Briefings Bioinform., 2015
STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction.
Proceedings of the Data Science - Second International Conference, 2015
Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015
Efficient Mining of Non-derivable Emerging Patterns.
Proceedings of the Databases Theory and Applications, 2015
Efficient Discovery of Differential Dependencies Through Association Rules Mining.
Proceedings of the Databases Theory and Applications, 2015
Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recommendation.
Proceedings of the Databases Theory and Applications, 2015
Conditional Differential Dependencies (CDDs).
Proceedings of the Advances in Databases and Information Systems, 2015
Methods to Mitigate Risk of Composition Attack in Independent Data Publications.
Proceedings of the Medical Data Privacy Handbook, 2015
2014
A probabilistic approach to mitigate composition attacks on privacy in non-coordinated environments.
Knowl. Based Syst., 2014
Discovering statistically non-redundant subgroups.
Knowl. Based Syst., 2014
Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data.
J. Biomed. Informatics, 2014
An improvement of symbolic aggregate approximation distance measure for time series.
Neurocomputing, 2014
Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data.
Bioinform., 2014
Identifying miRNAs, targets and functions.
Briefings Bioinform., 2014
Top-k Similarity Matching in Large Graphs with Attributes.
Proceedings of the Database Systems for Advanced Applications, 2014
A Study on the Applications of Emerging Sequential Patterns.
Proceedings of the Databases Theory and Applications, 2014
Logics for Representing Data Mining Tasks in Inductive Databases.
Proceedings of the Databases Theory and Applications, 2014
Mining Differential Dependencies: A Subspace Clustering Approach.
Proceedings of the Databases Theory and Applications, 2014
Discovering Collective Group Relationships.
Proceedings of the Databases Theory and Applications, 2014
2013
A general framework for privacy preserving data publishing.
Knowl. Based Syst., 2013
On discovery of functional dependencies from data.
Data Knowl. Eng., 2013
Discovery of Approximate Differential Dependencies.
CoRR, 2013
Effective Pruning for the Discovery of Conditional Functional Dependencies.
Comput. J., 2013
Inferring microRNA and transcription factor regulatory networks in heterogeneous data.
BMC Bioinform., 2013
Inferring microRNA-mRNA causal regulatory relationships from expression data.
Bioinform., 2013
Exploring Groups from Heterogeneous Data via Sparse Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Mining Causal Association Rules.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Distributed Anonymization for Multiple Data Providers in a Cloud System.
Proceedings of the Database Systems for Advanced Applications, 2013
Efficient discovery of de-identification policy options through a risk-utility frontier.
Proceedings of the Third ACM Conference on Data and Application Security and Privacy, 2013
From Association Analysis to Causal Discovery.
Proceedings of the Workshop on Machine Learning for Sensory Data Analysis, 2013
A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013
2012
Discover Dependencies from Data - A Review.
IEEE Trans. Knowl. Data Eng., 2012
IMPACT: A Novel Clustering Algorithm based on Attraction.
,
,
,
,
,
,
,
,
,
,
J. Comput., 2012
An approximate microaggregation approach for microdata protection.
Expert Syst. Appl., 2012
Satisfying Privacy Requirements Before Data Anonymization.
Comput. J., 2012
Inferring functional miRNA-mRNA regulatory modules in epithelial-mesenchymal transition with a probabilistic topic model.
Comput. Biol. Medicine, 2012
Give Rookies A Chance: A Trust-Based Institutional Online Supplier Recommendation Framework.
Proceedings of the Information Security and Privacy Research, 2012
Discovery of Causal Rules Using Partial Association.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Data Privacy against Composition Attack.
Proceedings of the Database Systems for Advanced Applications, 2012
A Study of the Single Point Mutation Loci in the Hepatitis B Virus Sequences via Optimal Risk and Preventive Sets with Weights.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012
2011
Validating Privacy Requirements in Large Survey Rating Data.
Proceedings of the Next Generation Data Technologies for Collective Computational Intelligence, 2011
Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
ORPSW: a new classifier for gene expression data based on optimal risk and preventive patterns.
J. Comput., 2011
Information based data anonymization for classification utility.
Data Knowl. Eng., 2011
Publishing anonymous survey rating data.
Data Min. Knowl. Discov., 2011
Injecting purpose and trust into data anonymisation.
Comput. Secur., 2011
A Framework for Reputation Bootstrapping Based on Reputation Utility and Game Theories.
Proceedings of the IEEE 10th International Conference on Trust, 2011
Recognize Trustworthy Web Services Via Institutions.
Proceedings of the ICEIS 2011, 2011
Cloning for privacy protection in multiple independent data publications.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
A Role-Based Cognitive Architecture for Multi-Agent Teaming.
Proceedings of the Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010
Privacy Protection for Genomic Data: Current Techniques and Challenges.
Proceedings of the Advances in Intelligent Information Systems, 2010
Feature fusion using locally linear embedding for classification.
IEEE Trans. Neural Networks, 2010
Kernel Discriminant Learning for Ordinal Regression.
IEEE Trans. Knowl. Data Eng., 2010
Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation.
Bioinform., 2010
Satisfying Privacy Requirements: One Step before Anonymization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Spectral representation of DNA sequences and its application.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
On the Effectiveness of Gene Selection for Microarray Classification Methods.
Proceedings of the Intelligent Information and Database Systems, 2010
2009
(<i>alpha</i>, <i>k</i>)-anonymous data publishing.
J. Intell. Inf. Syst., 2009
Discovery of functional miRNA-mRNA regulatory modules with computational methods.
J. Biomed. Informatics, 2009
An integrated model for next page access prediction.
Int. J. Knowl. Web Intell., 2009
Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy.
BMC Bioinform., 2009
Efficient discovery of risk patterns in medical data.
Artif. Intell. Medicine, 2009
Finding Irredundant Contained Rewritings of Tree Pattern Queries Using Views.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009
Achieving P-Sensitive K-Anonymity via Anatomy.
Proceedings of the 2009 IEEE International Conference on e-Business Engineering, 2009
Injecting purpose and trust into data anonymisation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
Building a Generic Graph-based Descriptor Set for use in Drug Discovery.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
Studying Genotype-Phenotype Attack on k-anonymised Medical and Genomic Data.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
Microdata Protection Through Approximate Microaggregation.
Proceedings of the Computer Science 2009, 2009
2008
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies.
IEEE Trans. Knowl. Data Eng., 2008
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing.
Trans. Data Priv., 2008
Privacy preserving serial data publishing by role composition.
Proc. VLDB Endow., 2008
A role-oriented BDI framework for real-time multiagent teaming.
Intell. Decis. Technol., 2008
A Role-Based Framework for Multi-agent Teaming.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Portable devices of security and privacy preservation for e-learning.
Proceedings of the 12th International Conference on CSCW in Design, 2008
Authorization approaches for advanced permission-role assignments.
Proceedings of the 12th International Conference on CSCW in Design, 2008
Priority Driven K-Anonymisation for Privacy Protection.
Proceedings of the Data Mining and Analytics 2008, 2008
L-Diversity Based Dynamic Update for Large Time-Evolving Microdata.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
On the Complexity of Restricted k-anonymity Problem.
Proceedings of the Progress in WWW Research and Development, 2008
Integrating recommendation models for improved web page prediction accuracy.
Proceedings of the Computer Science 2008, 2008
(p<sup>+</sup>, α)-sensitive k-anonymity: A new enhanced privacy protection model.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008
2007
A Fast Algorithm for Finding Correlation Clusters in Noise Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
2006
Robust Rule-Based Prediction.
IEEE Trans. Knowl. Data Eng., 2006
On Optimal Rule Discovery.
IEEE Trans. Knowl. Data Eng., 2006
Using multiple and negative target rules to make classifiers more understandable.
Knowl. Based Syst., 2006
Classification Using Multiple and Negative Target Rules.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
Combined Gene Selection Methods for Microarray Data Analysis.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006
(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Achieving <i>k</i>-Anonymity by Clustering in Attribute Hierarchical Structures.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses.
Proceedings of the Data Mining and Analytics 2006, 2006
A Comparative Study of Classification Methods For Microarray Data Analysis.
Proceedings of the Data Mining and Analytics 2006, 2006
Analysis of Breast Feeding Data Using Data Mining Methods.
Proceedings of the Data Mining and Analytics 2006, 2006
A framework for role-based group deligation in distributed environments.
Proceedings of the Computer Science 2006, 2006
2005
Representing Association Classification Rules Mined from Health Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Mining risk patterns in medical data.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005
Finding Similar Patterns in Microarray Data.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Using Association Rules to Make Rule-based Classifiers Robust.
Proceedings of the Database Technologies 2005, 2005
2004
Mining Informative Rule Set for Prediction.
J. Intell. Inf. Syst., 2004
2003
Direct Interesting Rule Generation.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Association Rule Discovery with Unbalanced Class Distributions.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003
2002
Mining the optimal class association rule set.
Knowl. Based Syst., 2002
Construct robust rule sets for classification.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002
2001
Mining the Smallest Association Rule Set for Predictions.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
1999
Knowledge Network Based Association Discovery (Preliminary Version).
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999
Mining Significant Association Rules (Short Version).
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999
An Adaptive Method of Numerical Attribute Merging for Quantitative Association Rule Mining.
Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999