A Bayesian Inference-Based Framework for RFID Data Cleansing
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification
Clustering based on enhanced α-expansion move
Efficient and Scalable Processing of String Similarity Join
Efficient Sentinel Mining Using Bitmaps on Modern Processors
Identifying the Most Connected Vertices in Hidden Bipartite Graphs Using Group Testing
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features
Improving Security and Efficiency in Attribute-Based Data Sharing
Incremental Learning of Concept Drift from Streaming Imbalanced Data
Inference-Based Naïve Bayes: Turning Naïve Bayes Cost-Sensitive
NHOP: A Nested Associative Pattern for Analysis of Consensus Sequence Ensembles
On Co-Scheduling of Update and Control Transactions in Real-Time Sensing and Control Systems: Algorithms, Analysis, and Performance
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments
Ranking Instances by Maximizing the Area under ROC Curve
Set Reconciliation via Counting Bloom Filters
Supervised Multiple Kernel Embedding for Learning Predictive Subspaces
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis
Toward the Automatic Extraction of Policy Networks Using Web Links and Documents