Yaxin Bi

According to our database1, Yaxin Bi authored at least 91 papers between 2002 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

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On csauthors.net:

Bibliography

2018
Synthetic Optimisation Techniques for Epidemic Disease Prediction Modelling.
Proceedings of the 7th International Conference on Data Science, 2018

2017
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification.
CoRR, 2017

Flow-based intrusion detection: Techniques and challenges.
Computers & Security, 2017

Unsupervised Sentiment Classification: A Hybrid Sentiment-Topic Model Approach.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Sentiment Classification of Social Media Content with Features Generated Using Topic Models.
Proceedings of the STAIRS 2016, 2016

Multi-objective optimization of base classifiers in StackingC by NSGA-II for intrusion detection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Increasing Topic Coherence by Aggregating Topic Models.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Digitalizing Seismograms Using a Neighborhood Backtracking Method.
Proceedings of the Knowledge Science, Engineering and Management, 2016

A Cumulative Training Approach to Schistosomiasis Vector Density Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Transformation of XML Data Sources for Sequential Path Mining.
Proceedings of the Web and Big Data, 2016

2015
Improved lexicon-based sentiment analysis for social media analytics.
Security Informatics, 2015

Ensemble learning utilising feature pairings for intrusion detection.
Proceedings of the 2015 World Congress on Internet Security, 2015

A Fuzzy Inspired Approach to Seismic Anomaly Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A combination of CUSUM-EWMA for Anomaly Detection in time series data.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Clustering-Based Ensembles as an Alternative to Stacking.
IEEE Trans. Knowl. Data Eng., 2014

Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes.
Sensors, 2014

A survey of commonly used ensemble-based classification techniques.
Knowledge Eng. Review, 2014

Adaptive data fusion methods in information retrieval.
JASIST, 2014

The effect of attribute pairings in intrusion detection.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Sentiment Classification by Combining Triplet Belief Functions.
Proceedings of the Knowledge Science, Engineering and Management, 2014

Twitter Sentiment Analysis for Security-Related Information Gathering.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Evidential Fusion for Sentiment Polarity Classification.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
An Anomaly Analysis Method Based on Morphological Features.
Proceedings of the IEEE International Conference on Systems, 2013

Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes.
Proceedings of the Ambient Assisted Living and Active Aging, 2013

2012
The impact of diversity on the accuracy of evidential classifier ensembles.
Int. J. Approx. Reasoning, 2012

Product-cost modelling approach for the development of a decision support system for optimal roofing material selection.
Expert Syst. Appl., 2012

An Efficient Triplet-based Algorithm for Evidential Reasoning.
CoRR, 2012

Extended Twofold-LDA Model for Two Aspects in One Sentence.
Proceedings of the Advances on Computational Intelligence, 2012

An Evidential Framework for Associating Sensors to Activities for Activity Recognition in Smart Homes.
Proceedings of the Advances in Computational Intelligence, 2012

A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbor Ensemble.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Adaptive Data Fusion Methods for Dynamic Search Environments.
Proceedings of the Information Retrieval Technology, 2012

2011
Using the Dempster-Shafer Theory of Evidence With a Revised Lattice Structure for Activity Recognition.
IEEE Trans. Information Technology in Biomedicine, 2011

A Twofold-LDA Model for Customer Review Analysis.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Classification by Cluster Analysis: A New Meta-Learning Based Approach.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Analyzing the Relationship between Diversity and Evidential Fusion Accuracy.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Wavelet-Based Method for Detecting Seismic Anomalies in DEMETER Satellite Data.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Weight Factor Algorithms for Activity Recognition in Lattice-Based Sensor Fusion.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Sentiment Analysis of Customer Reviews: Balanced versus Unbalanced Datasets.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Combination of Evidence-Based Classifiers for Text Categorization.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

The Linear Combination Data Fusion Method in Information Retrieval.
Proceedings of the Database and Expert Systems Applications, 2011

Using the Euclidean Distance for Retrieval Evaluation.
Proceedings of the Advances in Databases - 28th British National Conference on Databases, 2011

2010
Preface.
Int. J. Software and Informatics, 2010

Retrieval Result Presentation and Evaluation.
Proceedings of the Knowledge Science, 2010

Behavioural Rule Discovery from Swarm Systems.
Proceedings of the Knowledge Science, 2010

Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure.
Proceedings of the Knowledge Science, 2010

Rough Analysis for Knowledge Discovery in a Simplified Earthquake Database.
Proceedings of the Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, 2010

Measuring Impact of Diversity of Classifiers on the Accuracy of Evidential Ensemble Classifiers.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

Activity Recognition for Smart Homes Using Dempster-Shafer Theory of Evidence Based on a Revised Lattice Structure.
Proceedings of the Sixth International Conference on Intelligent Environments, 2010

A Meta Learning Approach: Classification by Cluster Analysis.
Proceedings of the Artificial Intelligence: Methodology, 2010

2009
Assigning appropriate weights for the linear combination data fusion method in information retrieval.
Inf. Process. Manage., 2009

The Cubic Regression Model for Merging Results from Multiple Text Databases.
Proceedings of the Fifth International Conference on Semantics, Knowledge and Grid, 2009

A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Comparative Analysis for Detecting Seismic Anomalies in Data Sequences of Outgoing Longwave Radiation.
Proceedings of the Knowledge Science, 2009

Study of Outgoing Longwave Radiation Anomalies Associated with Two Earthquakes in China Using Wavelet Maxima.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
Uncertainty Reasoning in Rough Knowledge Discovery.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

An efficient triplet-based algorithm for evidential reasoning.
Int. J. Intell. Syst., 2008

The combination of multiple classifiers using an evidential reasoning approach.
Artif. Intell., 2008

Combining Classifiers through Triplet-Based Belief Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Performance Weights for the Linear Combination Data Fusion Method in Information Retrieval.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Classifier Combination Using a Class-indifferent Method.
Proceedings of the ECAI 2008, 2008

The Experiments with the Linear Combination Data Fusion Method in Information Retrieval.
Proceedings of the Progress in WWW Research and Development, 2008

2007
Combining Multiple Classifiers Using Dempster's Rule for Text Categorization.
Applied Artificial Intelligence, 2007

Applying statistical principles to data fusion in information retrieval.
Proceedings of the IEEE International Conference on Systems, 2007

Combining Prioritized Decisions in Classification.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

Regression Relevance Models for Data Fusion.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

2006
Using kNN model for automatic text categorization.
Soft Comput., 2006

Combining rough decisions for intelligent text mining using Dempster's rule.
Artif. Intell. Rev., 2006

An Efficient Triplet-based Algorithm for Evidential Reasoning.
Proceedings of the UAI '06, 2006

An evidential approach in ensembles.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Combining Multiple Sets of Rules for Improving Classification Via Measuring Their Closenesses.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

An Effective Combination of Multiple Classifiers for Toxicity Prediction.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Evaluating Score Normalization Methods in Data Fusion.
Proceedings of the Information Retrieval Technology, 2006

On Combining Multiple Classifiers Using an Evidential Approach.
Proceedings of the Proceedings, 2006

2005
Combining multiple classifiers for text categorization using the Dempster-Shafer theory of evidence.
PhD thesis, 2005

On Combining Classifier Mass Functions for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2005

Three-Dimension Model for Developing a Nutrition, Lifestyle and Health Database.
Proceedings of The 2005 International Conference on Information and Knowledge Engineering, 2005

Improving Classification Decisions by Multiple Knowledge.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

2004
Combining Multiple Classifiers Using Dempster's Rule of Combination for Text Categorization.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004

Combining Evidence from Classifiers in Text Categorization.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Combining Rules for Text Categorization Using Dempster's Rule of Combination.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Classification Decision Combination for Text Categorization: An Experimental Study.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

An kNN Model-Based Approach and Its Application in Text Categorization.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2004

Multiple Sets of Rules for Text Categorization.
Proceedings of the Advances in Information Systems, Third International Conference, 2004

2003
A rough set model with ontologies for discovering maximal association rules in document collections.
Knowl.-Based Syst., 2003

Ontology-Based Access to Distributed Statistical Databases.
Proceedings of the Advances in Web-Age Information Management, 2003

Visual Querying with Ontologies for Distributed Statistical Databases.
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003

KNN Model-Based Approach in Classification.
Proceedings of the On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, 2003

Aggregate Table-Driven Querying via Navigation Ontologies in Distributed Statistical Databases.
Proceedings of the New Horizons in Information Management, 2003

2002
An XML approach for legacy code reuse.
Journal of Systems and Software, 2002


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