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DATA-DRIVEN IDENTIFICATION AND CONTROL OF TURBULENT STRUCTURES USING DEEP NEURAL NETWORKS
empirical study of combining techniques in software quality classification
An evaluation of machine learning algorithms for tweet sentiment analysis
COMBINING TRADITIONAL AND IMAGE ANALYSIS TECHNIQUES FOR UNCONSOLIDATED EXPOSED TERRIGENOUS BEACH SAND CHARACTERIZATION
Collabortive filtering using machine learning and statistical techniques
Classification techniques for noisy and imbalanced data
DATA COLLECTION FRAMEWORK AND MACHINE LEARNING ALGORITHMS FOR THE ANALYSIS OF CYBER SECURITY ATTACKS
Efficient Machine Learning Algorithms for Identifying Risk Factors of Prostate and Breast Cancers among Males and Females
MULTIFACETED EMBEDDING LEARNING FOR NETWORKED DATA AND SYSTEMS
Machine learning algorithms for the analysis and detection of network attacks
Mining and fusing data for ocean turbine condition monitoring
Data Quality in Data Mining and Machine Learning
Evolutionary Methods for Mining Data with Class Imbalance
MACHINE LEARNING ALGORITHMS FOR PREDICTING BOTNET ATTACKS IN IOT NETWORKS
MODELING GROUND ELEVATION OF LOUISIANA COASTAL WETLANDS AND ANALYZING RELATIVE SEA LEVEL RISE INUNDATION USING RSET-MH AND LIDAR MEASUREMENTS
HPCC based Platform for COPD Readmission Risk Analysis with implementation of Dimensionality reduction and balancing techniques
An Empirical Study of Performance Metrics for Classifier Evaluation in Machine Learning
An Empirical Study of Random Forests for Mining Imbalanced Data
Text Mining and Topic Modeling for Social and Medical Decision Support
VLSI implementable learning algorithm

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