Wei Ding

According to our database1, Wei Ding authored at least 115 papers between 2000 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization.
TKDD, 2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM TIST, 2019

His-GAN: A histogram-based GAN model to improve data generation quality.
Neural Networks, 2019

Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov., 2019

Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov., 2019

2018
Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping.
Proceedings of the IEEE International Conference on Data Mining, 2018

Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

A Semantic QA-Based Approach for Text Summarization Evaluation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Netw. Learning Syst., 2017

Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer.
CoRR, 2017

Learning weighted distance metric from group level information and its parallel implementation.
Appl. Intell., 2017

Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016

Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling.
IEEE Trans. Knowl. Data Eng., 2016

Scalable and Accurate Online Feature Selection for Big Data.
TKDD, 2016

LOFS: A library of online streaming feature selection.
Knowl.-Based Syst., 2016

Multi-document summarization using closed patterns.
Knowl.-Based Syst., 2016

Scale Normalization.
CoRR, 2016

Crater Detection via Convolutional Neural Networks.
CoRR, 2016

RandomOut: Using a convolutional gradient norm to win The Filter Lottery.
CoRR, 2016

Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning.
Appl. Intell., 2016

Rapid building detection using machine learning.
Appl. Intell., 2016

Topic Discovery from Heterogeneous Texts.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Comprehensive Literature Review on Big Data in Healthcare.
Proceedings of the 22nd Americas Conference on Information Systems, 2016

2015
Classification with Streaming Features: An Emerging-Pattern Mining Approach.
TKDD, 2015

Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance.
Decis. Support Syst., 2015

Semi-Supervised Web Wrapper Repair via Recursive Tree Matching.
CoRR, 2015

The cost of reading research. A study of Computer Science publication venues.
CoRR, 2015

One-Day Activities for K-12 Face-to-Face Outreach.
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Tornado Forecasting with Multiple Markov Boundaries.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data.
Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015

A Friend Recommendation System Using Users' Information of Total Attributes.
Proceedings of the Data Science - Second International Conference, 2015

Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Hierarchical Pattern Learning Framework for Forecasting Extreme Weather Events.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Understanding Deep Networks with Gradients.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Prediction gradients for feature extraction and analysis from convolutional neural networks.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
Data Mining with Big Data.
IEEE Trans. Knowl. Data Eng., 2014

Bipart: Learning Block Structurefor Activity Detection.
IEEE Trans. Knowl. Data Eng., 2014

Authorship identification from unstructured texts.
Knowl.-Based Syst., 2014

Mining sequential patterns with periodic wildcard gaps.
Appl. Intell., 2014

Temporality and Context for detecting adverse drug reactions from longitudinal data.
Appl. Intell., 2014

Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Face Recognition from Multiple Images per Subject.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Towards Scalable and Accurate Online Feature Selection for Big Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns.
Computers, Environment and Urban Systems, 2013

Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2013

Local discriminative distance metrics ensemble learning.
Pattern Recognition, 2013

Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Pnfs: Personalized Web News Filtering and Summarization.
International Journal on Artificial Intelligence Tools, 2013

Crime hotspot mapping using the crime related factors - a spatial data mining approach.
Appl. Intell., 2013

Feature Selection by Joint Graph Sparse Coding.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Constrained stochastic gradient descent for large-scale least squares problem.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Markov Blanket Feature Selection with Non-faithful Data Distributions.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Local Discriminative Distance Metrics and their Real World Applications.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Mining Adverse Drug Reactions from Electronic Health Records.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Group Feature Selection with Streaming Features.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Online Group Feature Selection from Feature Streams.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Geospatial Contrast Mining with Applications on Labeled Spatial Data.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

2012
Adaptive Selective Learning for automatic identification of sub-kilometer craters.
Neurocomputing, 2012

Word Sense Disambiguation with Automatically Acquired Knowledge.
IEEE Intelligent Systems, 2012

Exploring Causal Relationships with Streaming Features.
Comput. J., 2012

Mining emerging patterns by streaming feature selection.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Coupled behavior analysis for capturing coupling relationships in group-based market manipulations.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Optimization of Criminal HotSpots Based on Underlying Crime Controlling Factors Using Geospatial Discriminative Pattern.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Cyber-Physical Integration to Connect Vehicles for Transformed Transportation Safety and Efficiency.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Several Remarks on Mining Frequent Trajectories in Graphs.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Self-Taught Active Learning from Crowds.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Subkilometer crater discovery with boosting and transfer learning.
ACM TIST, 2011

One-class learning and concept summarization for data streams.
Knowl. Inf. Syst., 2011

Entropy Quad-Trees for High Complexity Regions Detection.
IJSSCI, 2011

Adaptive Study Design Through Semantic Association Rule Analysis.
IJSSCI, 2011

Controlling patterns of geospatial phenomena.
GeoInformatica, 2011

A framework for regional association rule mining and scoping in spatial datasets.
GeoInformatica, 2011

Feasibility study for automatic calibration of transportation simulation models.
Proceedings of the 2011 Spring Simulation Multi-conference, 2011

Empirical Discriminative Tensor Analysis for Crime Forecasting.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Biologically inspired model for crater detection.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Personalized News Filtering and Summarization on the Web.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Crime Forecasting Using Data Mining Techniques.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Causal Associative Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Bernoulli trials based feature selection for crater detection.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Online Streaming Feature Selection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Causal Discovery from Streaming Features.
Proceedings of the ICDM 2010, 2010

Exploring labeled spatial datasets using association analysis.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis.
Proceedings of the Discovery Science - 13th International Conference, 2010

Discovering spatio-social motifs of electoral support using discriminative pattern mining.
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application, 2010

Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Effective classification for crater detection: A case study on Mars.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Mining for high complexity regions using entropy and box counting dimension quad-trees.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
A Lexical Knowledge Representation Model for Natural Language Understanding.
IJSSCI, 2009

Discovery of feature-based hot spots using supervised clustering.
Comput. Geosci., 2009

Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Proceedings of the SIAM International Conference on Data Mining, 2009

A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation.
Proceedings of the ICTAI 2009, 2009

Word Classification: An Experimental Approach with Naïve Bayes.
Proceedings of the ISCA 24th International Conference on Computers and Their Applications, 2009

2008
Parsing Tree Matching Based Question Answering.
Proceedings of the First Text Analysis Conference, 2008

Towards Region Discovery in Spatial Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Discovering controlling factors of geospatial variables.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

Finding regional co-location patterns for sets of continuous variables in spatial datasets.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

2007
On Regional Association Rule Scoping.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
A Framework for Regional Association Rule Mining in Spatial Datasets.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

SenseNet: A Knowledge Representation Model for Computational Semantics.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success.
Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education, 2005

Web-Based Interactive Visualization of Data Cubes.
Proceedings of The 2005 International Conference on Modeling, 2005

2004
Design and evolution of an undergraduate course on web application development.
Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2004

2003
Icon-based Visualization of Large High-Dimensional Datasets.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001
Using a Model Checker to Test Safety Properties.
Proceedings of the 7th International Conference on Engineering of Complex Computer Systems (ICECCS 2001), 2001

2000
Evaluation of Three Specification-Based Testing Criteria.
Proceedings of the 6th International Conference on Engineering of Complex Computer Systems (ICECCS 2000), 2000


  Loading...