GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text

SWCB: An Efficient Switch-Clustering of Bandit Model

Aeroengine Gas Path Parameter Trend Prediction Based on LSTM

A Text Summarization Model Guided by Key Information

A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning

Document-Level Relation Extraction with?Distance-Dependent Bias Network and?Neighbors Enhanced Loss

Clustering of?Bandit with?Frequency-Dependent Information Sharing

A Two-Stage Structural Damage Detection Method Based on 1D-CNN and SVM

A reinforcement learning guided adaptive cost-sensitive feature acquisition method

Two-stage encoder for pointer-generator network with pretrained embeddings

PageRank centrality based graph convolutional networks for semi-supervised node classification

An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random k-Means Ensemble

Interpretable duplicate question detection models based on attention mechanism

A PDDL based Disaster Storyline Generation Approach

Joint prediction of time series data in inventory management

A cost-sensitive feature selection method for high-dimensional data

A Knowledge Graph based Disaster Storyline Generation Framework

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers

Taxic: A taxi route recommendation method based on urban traffic charge heat map

Generating Multimedia Storyline for Effective Disaster Information Awareness

DdBB: A data-driven framework for building energy use benchmarking

An improved textual storyline generating framework for disaster information management

Fog-based two-phase event monitoring and data gathering in vehicular sensor networks

dTexSL: A dynamic disaster textual storyline generating framework

A swarm optimization algorithm for practical container loading problem

VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications

An advanced inventory data mining system for business intelligence

Cluster ensemble selection with constraints

Cloud-assisted data storage and query processing at vehicular ad-hoc sensor networks

FIRST: F ace i dentity R ecognition in S mar T Bank

DI-DAP: An efficient disaster information delivery and analysis platform in disaster management

Data-driven solutions for power system fault analysis and novelty detection

A preliminary study on class probability estimation for random forest using kernel density estimators

A Data Mining Framework for Tea Price Evaluation

A support vector classification model with partial empirical risks given

A two-step dynamic inventory forecasting model for large manufacturing

Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory

Two approaches for novelty detection using random forest

Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features

Data-driven solutions for building environmental impact assessment

Structural damage detection based on semi-supervised fuzzy C-means clustering

Structure damage detection based on random forest recursive feature elimination

Structural damage detection method based on random forests and data fusion

Using the maximum between-class variance for automatic gridding of cDNA microarray images

Random forest based potential k nearest neighbor classifier and its application in gene expression data

Damage identification technique for building structure based on random forest

Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection

cDNA Microarray images Gridding based on projection

Hierarchical Partition Approach with Application on Enterprise Credit Assessment

Margin based variable importance for random forest

A new parameter selection method for support vector machine based on the decision value

Gene selection using random forest and proximity differences criterion on DNA microarray data

Feature selection of random forest-based proximity matrix difference

Integrated application of uniform design and least-squares support vector machines to transfection optimization

A new SVM-RFE approach towards ranking problem

Noise estimation and reduction in microarray images

Accuracy of classifier combining based on majority voting

An imbalanced training data SVM classification problem based on Riemannian metric

Rank space diversity: A diversity measure of base kernel matrices

Credit risk assessment in commercial banks based on fuzzy support vector machines

A strategy of maximizing the sum of weighted margins for ranking multi classification problem

A study on pieeewise polynomial smooth approximation to the plus function

Multi-classifier Combination for banks credit risk assessment