Name
Affiliation
Papers
RANDALL WALD
Florida Atlantic Univ, Boca Raton, FL 33431 USA
63
Collaborators
Citations 
PageRank 
29
682
40.47
Referers 
Referees 
References 
1562
902
856
Search Limit
1001000
Title
Citations
PageRank
Year
Deep learning applications and challenges in big data analytics1976.022015
Intrusion detection and Big Heterogeneous Data: a Survey561.932015
The effect of noise level and distribution on classification of easy gene microarray data20.372014
How ranker and learner choice affects classification performance on noisy bioinformatics data.10.352014
Combining Feature Selection and Ensemble Learning for Software Quality Estimation.10.362014
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction90.512014
Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data.70.512014
Evaluation of Wrapper-Based Feature Selection Using Hard, Moderate, and Easy Bioinformatics Data00.342014
Network Traffic Prediction Models for Near- and Long-Term Predictions.10.352014
Rotation invariant face recognition survey20.382014
Using Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets.30.392014
Optimizing Wrapper-Based Feature Selection for Use on Bioinformatics Data.10.382014
A review of data mining using big data in health informatics381.872014
Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets00.342013
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection10.352013
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics90.512013
Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets20.372013
Gene selection stability's dependence on dataset difficulty70.622013
Which Users Reply to and Interact with Twitter Social Bots?60.512013
Ensemble Gene Selection Versus Single Gene Selection: Which Is Better?20.402013
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection.40.392013
The importance of performance metrics within wrapper feature selection30.392013
Stability of Filter- and Wrapper-Based Feature Subset Selection60.502013
Feature Selection For Optimization Of Wavelet Packet Decomposition In Reliability Analysis Of Systems10.372013
Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations00.342013
How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation00.342013
Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models?10.352013
Comparison of Two Frameworks for Measuring the Stability of Gene-Selection Techniques on Noisy Class-Imbalanced Data10.362013
Survey of Clinical Data Mining Applications on Big Data in Health Informatics40.442013
A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data.30.402013
Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research60.482013
Feature list aggregation approaches for ensemble gene selection on patient response datasets00.342013
Hidden dependencies between class imbalance and difficulty of learning for bioinformatics datasets90.532013
A survey of stability analysis of feature subset selection techniques70.512013
Predicting susceptibility to social bots on Twitter140.622013
Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots.10.352013
Patient response datasets: Challenges and opportunities.30.402013
Maximizing Classification Performance for Patient Response Datasets10.362013
An Extensive Comparison Of Feature Ranking Aggregation Techniques In Bioinformatics100.592012
Machine prediction of personality from Facebook profiles180.742012
The Effect of Number of Iterations on Ensemble Gene Selection10.362012
Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets00.342012
Using Twitter Content to Predict Psychopathy211.112012
Threshold-based feature selection techniques for high-dimensional bioinformatics data.201.012012
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach70.622012
Robustness of Threshold-Based Feature Rankers with Data Sampling on Noisy and Imbalanced Data.50.402012
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data00.342012
The effect of measurement approach and noise level on gene selection stability30.402012
An Empirical Study of Software Metric Selection Techniques for Defect Prediction.00.342012
First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques210.892012
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