2025
Document-level relation extraction via commonsense knowledge enhanced graph representation learning.
Appl. Intell., January, 2025
2024
Multi-Level Alignments for Compressed Video Super-Resolution.
IEEE Trans. Consumer Electron., August, 2024
On-device Online Learning and Semantic Management of TinyML Systems.
ACM Trans. Embed. Comput. Syst., July, 2024
Stable Viewport-Based Unsupervised Compressed 360° Video Quality Enhancement.
IEEE Trans. Broadcast., June, 2024
Spatial-Temporal Adaptive Compressed Screen Content Video Quality Enhancement.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2024
Compressed-SDR to HDR Video Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Disentanglement then reconstruction: Unsupervised domain adaptation by twice distribution alignments.
Expert Syst. Appl., March, 2024
Adaptive class augmented prototype network for few-shot relation extraction.
Neural Networks, January, 2024
Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion.
Knowl. Based Syst., 2024
Self-supervised commonsense knowledge learning for document-level relation extraction.
Expert Syst. Appl., 2024
Integrating Crack Causal Augmentation Framework and Dynamic Binary Threshold for imbalanced crack instance segmentation.
Expert Syst. Appl., 2024
FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding.
CoRR, 2024
TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm.
CoRR, 2024
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation.
CoRR, 2024
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience.
Proceedings of the ACM on Web Conference 2024, 2024
CaseLink: Inductive Graph Learning for Legal Case Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Event-Content-Oriented Dialogue Generation in Short Video.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Facilitating Message Passing with Potential Links for Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Acoustics, 2024
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs.
Proceedings of the Advances in Information Retrieval, 2024
Evidence Sentence Augmented Sequence-to-Sequence Method for Document-level Relation Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Contrastive Learning Enhanced Graph Relation Representation for Document-level Relation Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
Recent Advances on Multi-modal Dialogue Systems: A Survey.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
CDER: Collaborative Evidence Retrieval for Document-Level Relation Extraction.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024
2023
GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion.
Expert Syst. Appl., October, 2023
360° Image Saliency Prediction by Embedding Self-Supervised Proxy Task.
IEEE Trans. Broadcast., September, 2023
Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction.
Inf. Sci., August, 2023
MTED: multiple teachers ensemble distillation for compact semantic segmentation.
Neural Comput. Appl., June, 2023
Multi-view knowledge distillation for efficient semantic segmentation.
J. Real Time Image Process., April, 2023
OVQE: Omniscient Network for Compressed Video Quality Enhancement.
IEEE Trans. Broadcast., March, 2023
Channel Correlation Distillation for Compact Semantic Segmentation.
Int. J. Pattern Recognit. Artif. Intell., March, 2023
Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities.
World Sci. Annu. Rev. Artif. Intell., 2023
Spatio-Temporal Detail Information Retrieval for Compressed Video Quality Enhancement.
IEEE Trans. Multim., 2023
Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks.
IEEE Trans. Dependable Secur. Comput., 2023
Multi-Frame Compressed Video Quality Enhancement by Spatio-Temporal Information Balance.
IEEE Signal Process. Lett., 2023
TinyMetaFed: Efficient Federated Meta-learning for TinyML.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
PRRD: Pixel-Region Relation Distillation For Efficient Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Context-Based Masking for Spontaneous Venous Pulsations Detection.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Prompt-Based Effective Input Reformulation for Legal Case Retrieval.
Proceedings of the Databases Theory and Applications, 2023
2022
Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022
Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement.
IEEE Signal Process. Lett., 2022
Self-Alignment for Black-Box Domain Adaptation of Image Classification.
IEEE Signal Process. Lett., 2022
Suicidal ideation and mental disorder detection with attentive relation networks.
Neural Comput. Appl., 2022
Multiple description coding network based on semantic segmentation.
Multim. Tools Appl., 2022
Heterogenous affinity graph inference network for document-level relation extraction.
Knowl. Based Syst., 2022
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning.
IEEE Intell. Syst., 2022
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Content Adaptive Compressed Screen Content Video Quality Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Fast Spectral Clustering of Multi-Relational Data.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022
Integrating Dependency Tree into Self-Attention for Sentence Representation.
Proceedings of the IEEE International Conference on Acoustics, 2022
Causality Discovery Based on Combined Causes and Multiple Causes in Drug-Drug Interaction.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications.
IEEE Trans. Comput. Soc. Syst., 2021
Bidirectional generative transductive zero-shot learning.
Neural Comput. Appl., 2021
Deep semantic segmentation-based multiple description coding.
Multim. Tools Appl., 2021
Deep dynamic imputation of clinical time series for mortality prediction.
Inf. Sci., 2021
Learning various length dependence by dual recurrent neural networks.
Neurocomputing, 2021
Source data-free domain adaptation of object detector through domain-specific perturbation.
Int. J. Intell. Syst., 2021
Differentially Private Collaborative Coupling Learning for Recommender Systems.
IEEE Intell. Syst., 2021
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning.
CoRR, 2021
Alignment-Free Video Compression Artifact Reduction.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021
Source-Style Transferred Mean Teacher for Source-data Free Object Detection.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021
Privacy-Preserving Gradient Descent for Distributed Genome-Wide Analysis.
Proceedings of the Computer Security - ESORICS 2021, 2021
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Editorial for application-driven knowledge acquisition.
World Wide Web, 2020
A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients.
Sci. Program., 2020
Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy.
Optim. Methods Softw., 2020
Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.
Neural Networks, 2020
Online sales prediction via trend alignment-based multitask recurrent neural networks.
Knowl. Inf. Syst., 2020
A unified model for recommendation with selective neighborhood modeling.
Inf. Process. Manag., 2020
Joint Personalized Markov Chains with social network embedding for cold-start recommendation.
Neurocomputing, 2020
A Unified Model for Recommendation with Selective Neighborhood Modeling.
CoRR, 2020
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation.
CoRR, 2020
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks.
CoRR, 2020
Temporal tree representation for similarity computation between medical patients.
Artif. Intell. Medicine, 2020
IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units.
IEEE Access, 2020
Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning.
Proceedings of the Computer Security - ESORICS 2020, 2020
Adaptive Two-Dimensional Embedded Image Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.
IEEE Trans. Multim., 2019
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.
IEEE Trans. Cybern., 2019
Adaptive recognition of different accents conversations based on convolutional neural network.
Multim. Tools Appl., 2019
A survey of sentiment analysis in social media.
Knowl. Inf. Syst., 2019
PRS: efficient range skyline computation on massive data via presorting.
Knowl. Inf. Syst., 2019
Real-time multi-class object detection using two-dimensional index.
J. Real Time Image Process., 2019
Modelling user attitudes using hierarchical sentiment-topic model.
Data Knowl. Eng., 2019
MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning.
Data Sci. Eng., 2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019
Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Learning Private Neural Language Modeling with Attentive Aggregation.
Proceedings of the International Joint Conference on Neural Networks, 2019
AIR: Attentional Intention-Aware Recommender Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Personalised Medicine in Critical Care Using Bayesian Reinforcement Learning.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
Causality Discovery with Domain Knowledge for Drug-Drug Interactions Discovery.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
RecKGC: Integrating Recommendation with Knowledge Graph Completion.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
2018
Collaborative text categorization via exploiting sparse coefficients.
World Wide Web, 2018
Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.
IEEE Trans. Mob. Comput., 2018
A Multiview Learning Framework With a Linear Computational Cost.
IEEE Trans. Cybern., 2018
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.
Pattern Recognit., 2018
Deep adaptive feature embedding with local sample distributions for person re-identification.
Pattern Recognit., 2018
Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl., 2018
LGA: latent genre aware micro-video recommendation on social media.
Multim. Tools Appl., 2018
Collaborative Fall Detection Using Smart Phone and Kinect.
Mob. Networks Appl., 2018
Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach.
J. Netw. Comput. Appl., 2018
GRIP: A Group Recommender Based on Interactive Preference Model.
J. Comput. Sci. Technol., 2018
Social event detection with retweeting behavior correlation.
Expert Syst. Appl., 2018
Structured deep hashing with convolutional neural networks for fast person re-identification.
Comput. Vis. Image Underst., 2018
Bio-inspired learning approach for electronic nose.
Computing, 2018
Learning Concept Hierarchy from Short Texts Using Context Coherence.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
EEG-based Motion Intention Recognition via Multi-task RNNs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Automated Explanations of User-Expected Trends for Aggregate Queries.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Interesting Recommendations Based on Hierarchical Visualizations of Medical Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
Similarity Computing on Electronic Health Records.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States.
Proceedings of the International Conference on Information Systems, 2018
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2018
Vertical and Sequential Sentiment Analysis of Micro-blog Topic.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018
Feature Extraction for Smart Sensing Using Multi-perspectives Transformation.
Proceedings of the Databases Theory and Applications, 2018
2017
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining.
ACM Trans. Knowl. Discov. Data, 2017
Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things.
ACM Trans. Intell. Syst. Technol., 2017
Fast distant support vector data description.
Memetic Comput., 2017
Constrained recommendations for query visualizations.
Knowl. Inf. Syst., 2017
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
CoRR, 2017
People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking.
Proceedings of the Semantic Web - ISWC 2017, 2017
A Combined Feature Approach for Speaker Segmentation Using Convolution Neural Network.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017
Streaming Graph Partitioning for Large Graphs with Limited Memory.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion.
Proceedings of the Database Systems for Advanced Applications, 2017
Group Recommender Model Based on Preference Interaction.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Structured Sentiment Analysis.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Building Entity Graphs for the Web of Things Management.
Proceedings of the Managing the Web of Things: Linking the Real World to the Web, 2017
2016
Multi-label classification via learning a unified object-label graph with sparse representation.
World Wide Web, 2016
Compact representation for large-scale unconstrained video analysis.
World Wide Web, 2016
Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things.
ACM Trans. Internet Techn., 2016
Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding.
IEEE Trans. Knowl. Data Eng., 2016
Mining Health Examination Records - A Graph-Based Approach.
IEEE Trans. Knowl. Data Eng., 2016
Multi-task support vector machines for feature selection with shared knowledge discovery.
Signal Process., 2016
Guest editorial: web of things.
Inf. Syst. Frontiers, 2016
Personal health indexing based on medical examinations: A data mining approach.
Decis. Support Syst., 2016
Uncovering Locally Discriminative Structure for Feature Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Classification with Quantification for Air Quality Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Advancing public health genomics.
Proceedings of the International Workshop on Big Data and Information Security, 2016
Learning from less for better: semi-supervised activity recognition via shared structure discovery.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Empowering Truth Discovery with Multi-Truth Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Truth Discovery via Exploiting Implications from Multi-Source Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Classification Based on Compressive Multivariate Time Series.
Proceedings of the Databases Theory and Applications, 2016
2015
Emerging event detection in social networks with location sensitivity.
World Wide Web, 2015
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things.
CoRR, 2015
RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array.
EAI Endorsed Trans. Ambient Syst., 2015
Unsupervised Feature Analysis with Class Margin Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags.
Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2015
Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015
Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Invariant Event Tracking on Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2015
An Integrated Bayesian Approach for Effective Multi-Truth Discovery.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Approximate Truth Discovery via Problem Scale Reduction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Detecting cyberbullying in social networks using multi-agent system.
Web Intell. Agent Syst., 2014
Structured Streaming Skeleton - A New Feature for Online Human Gesture Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2014
Semi-Supervised Multiple Feature Analysis for Action Recognition.
IEEE Trans. Multim., 2014
Privacy Preservation for Associative Classification.
Comput. Intell., 2014
An effective approach to offline Arabic handwriting recognition.
Comput. Electr. Eng., 2014
Predicting Elections from Social Networks Based on Sub-event Detection and Sentiment Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014
Exploring recommendations in internet of things.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Real Time Unobtrusive Human Behaviours Recognition.
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014
Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
TagTrack: device-free localization and tracking using passive RFID tags.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014
Dynamic Background Learning through Deep Auto-encoder Networks.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Mining Personal Health Index from Annual Geriatric Medical Examinations.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Semi-supervised Learning for Cyberbullying Detection in Social Networks.
Proceedings of the Databases Theory and Applications, 2014
An Effective Approach to Handling Noise and Drift in Electronic Noses.
Proceedings of the Databases Theory and Applications, 2014
2013
Learning from data streams with only positive and unlabeled data.
J. Intell. Inf. Syst., 2013
Human action recognition based on semi-supervised discriminant analysis with global constraint.
Neurocomputing, 2013
Context-aware web services for security control and privacy preservation in an RFID supply chain.
Int. J. Inf. Technol. Manag., 2013
Incremental processing and indexing for (k, e)-anonymisation.
Int. J. Inf. Comput. Secur., 2013
Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning.
Data Knowl. Eng., 2013
Clothing-to-words mapping using word separation method.
Comput. Electr. Eng., 2013
Rapid vehicle logo region detection based on information theory.
Comput. Electr. Eng., 2013
Feature Extraction from Micro-blogs for Comparison of Products and Services.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013
RNRank: Network-Based Ranking on Relational Tuples.
Proceedings of the Behavior and Social Computing, 2013
Online human gesture recognition from motion data streams.
Proceedings of the ACM Multimedia Conference, 2013
Fall detection in multi-camera surveillance videos: experimentations and observations.
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare, 2013
A Model for Discovering Correlations of Ubiquitous Things.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Online Action Recognition by Template Matching.
Proceedings of the Health Information Science - Second International Conference, 2013
Location-Based Emerging Event Detection in Social Networks.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013
MedRank: Discovering Influential Medical Treatments from Literature by Information Network Analysis.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013
2012
Abnormal crowd behavior detection using high-frequency and spatio-temporal features.
Mach. Vis. Appl., 2012
Dynamic classifier ensemble for positive unlabeled text stream classification.
Knowl. Inf. Syst., 2012
Introducing Cloud Computing Topics in Curricula.
J. Inf. Syst. Educ., 2012
Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty.
Int. J. Syst. Sci., 2012
On the Prediction of Re-tweeting Activities in Social Networks - A Report on WISE 2012 Challenge.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012
Context Sensitive Tag Expansion with Information Inference.
Proceedings of the Database Systems for Advanced Applications, 2012
Action recognition by exploring data distribution and feature correlation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Sentiment Analysis for Effective Detection of Cyber Bullying.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012
2011
Toward a semantic granularity model for domain-specific information retrieval.
ACM Trans. Inf. Syst., 2011
Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009).
Knowl. Inf. Syst., 2011
TMS-RFID: Temporal management of large-scale RFID applications.
Inf. Syst. Frontiers, 2011
Security and privacy protection in RFID-enabled supply chain management.
Int. J. Radio Freq. Identif. Technol. Appl., 2011
Associative classification rules hiding for privacy preservation.
Int. J. Intell. Inf. Database Syst., 2011
Classifying text streams by keywords using classifier ensemble.
Data Knowl. Eng., 2011
Bayesian Classifiers for Positive Unlabeled Learning.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011
Approximate Record Matching Using Hash Grams.
Proceedings of the Data Mining Workshops (ICDMW), 2011
Exploratory Study on Learners' Experience in an eLearning System.
Proceedings of the A Renaissance of Information Technology for Sustainability and Global Competitiveness. 17th Americas Conference on Information Systems, 2011
Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011
2010
Trust in RFID-enabled Supply-Chain Management.
Int. J. Secur. Networks, 2010
Unified collaborative filtering model based on combination of latent features.
Expert Syst. Appl., 2010
Associative Classifier for Uncertain Data.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010
Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty.
Proceedings of the SIAM International Conference on Data Mining, 2010
Classifier Ensemble for Uncertain Data Stream Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
A Novel Chinese Text Feature Selection Method Based on Probability Latent Semantic Analysis.
Proceedings of the Advances in Neural Networks, 2010
On Improving Learning Outcomes Through Sharing of Learning Experiences.
Proceedings of the ICALT 2010, 2010
2009
Proceedings of the Encyclopedia of Database Systems, 2009
Database Clustering Methods.
Proceedings of the Encyclopedia of Database Systems, 2009
Instance optimal query processing in spatial networks.
VLDB J., 2009
Ambiguous decision trees for mining concept-drifting data streams.
Pattern Recognit. Lett., 2009
RFID Infrastructure Design: A Case Study of Two Australian RFID Projects.
IEEE Internet Comput., 2009
Projected outlier detection in high-dimensional mixed-attributes data set.
Expert Syst. Appl., 2009
Computational Model for Trust Management in RFID Supply Chains.
Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009
OcVFDT: one-class very fast decision tree for one-class classification of data streams.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009
Trust Framework for RFID Tracking in Supply Chain Management.
Proceedings of the RFID Technology-Concepts, 2009
Dimension-Specific Search for Multimedia Retrieval.
Proceedings of the Database Systems for Advanced Applications, 2009
Ranking-Constrained Keyword Sequence Extraction from Web Documents.
Proceedings of the Database Technologies 2009, 2009
2008
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning With Arbitrarily Shaped Rectilinear Blocks.
IEEE Trans. Evol. Comput., 2008
Enabling Next-Generation RFID Applications: Solutions and Challenges.
Computer, 2008
A Heuristic Data Reduction Approach for Associative Classification Rule Hiding.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection.
Proceedings of the Fourth International Conference on Natural Computation, 2008
One-Class Classification of Text Streams with Concept Drift.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Data Quality in Privacy Preservation for Associative Classification.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008
Graph Mining based on a Data Partitioning Approach.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008
Data Reduction Approach for Sensitive Association Classification Rule Hiding.
Proceedings of the Database Technologies 2008. Proceedings of the Nineteenth Australasian Database Conference, 2008
2007
An Efficient Measure of Signal Temporal Predictability for Blind Source Separation.
Neural Process. Lett., 2007
Design a Knowledge-Based System to Automatically Assess Commercial Websites.
Int. J. Inf. Technol. Decis. Mak., 2007
An improved Naive Bayesian classifier with advanced discretisation method.
Int. J. Intell. Syst. Technol. Appl., 2007
Collaborative filtering on streaming data with interest-drifting.
Intell. Data Anal., 2007
A Recommender System with Interest-Drifting.
Proceedings of the Web Information Systems Engineering, 2007
Online Rare Events Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Discovering Correlated Items in Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Blind Separation of Positive Signals by Using Genetic Algorithm.
Proceedings of the Advances in Neural Networks, 2007
Supervised Dimensionality Reduction on Streaming Data.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
2006
A Class of Self-Stabilizing MCA Learning Algorithms.
IEEE Trans. Neural Networks, 2006
Can exclusive clustering on streaming data be achieved?
SIGKDD Explor., 2006
Categorizing web features and functions to evaluate commercial web sites: An assessment framework and an empirical investigation of Australian companies.
Ind. Manag. Data Syst., 2006
Special issue on advances in data mining and its applications.
Int. J. Syst. Sci., 2006
Fitness assessment of document model.
Int. J. Syst. Sci., 2006
Incremental Learning for Interactive E-Mail Filtering.
Int. J. Inf. Technol. Web Eng., 2006
Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A Neural Network based Technique for Automatic Classification of Road Cracks.
Proceedings of the International Joint Conference on Neural Networks, 2006
Concept-based document readability in domain specific information retrieval.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
Document generality: its computation for ranking.
Proceedings of the Database Technologies 2006, 2006
A reconstruction-based algorithm for classification rules hiding.
Proceedings of the Database Technologies 2006, 2006
Recency-based collaborative filtering.
Proceedings of the Database Technologies 2006, 2006
2005
Document Re-ranking by Generality in Bio-medical Information Retrieval.
Proceedings of the Web Information Systems Engineering, 2005
Collaborative Filtering on Data Streams.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Finding Temporal Features of Event-Oriented Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Direct Fingerprinting on Multicasting Compressed Video.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005
Efficient Spatial Clustering Algorithm Using Binary Tree.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005
Hiding Classification Rules for Data Sharing with Privacy Preservation.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005
Effectiveness of Document Representation for Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005
Time weight collaborative filtering.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005
Determining the Fitness of a Document Model by Using Conflict Instances.
Proceedings of the Database Technologies 2005, 2005
2004
A Lightweight Encryption Algorithm for Mobile Online Multimedia Devices.
Proceedings of the Web Information Systems, 2004
PLD: A Distillation Algorithm for Misclassified Documents.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004
Finding Negative Event-Oriented Patterns in Long Temporal Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004
Multimedia authentication with sensor-based watermarking.
Proceedings of the 6th workshop on Multimedia & Security, 2004
Motion Vector Encryption in Multimedia Streaming.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004
Enhancing security of frequency domain video encryption.
Proceedings of the 12th ACM International Conference on Multimedia, 2004
A sensor-based multimedia authentication system.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004
A Correlation Analysis on LSA and HAL Semantic Space Models.
Proceedings of the Computational and Information Science, First International Symposium, 2004
Knowledge Maintenance on Data Streams with Concept Drifting.
Proceedings of the Computational and Information Science, First International Symposium, 2004
Reflective Web Interface Agent.
Proceedings of the Advanced Web Technologies and Applications, 2004
2003
Fuzzy Logic in Web Data Mining for Website Assessment.
Int. J. Comput. Intell. Appl., 2003
Introducing Uncertainty into Pattern Discovery in Temporal Event Sequences.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003