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PREDICTING MELANOMA RISK FROM ELECTRONIC HEALTH RECORDS WITH MACHINE LEARNING TECHNIQUES
MACHINE LEARNING APPROACH FOR VEGETATION CLASSIFICATION USING UAS MULTISPECTRAL IMAGERY
Machine learning techniques for alleviating inherent difficulties in bioinformatics data
Machine Learning Algorithms for the Analysis of Social Media and Detection of Malicious User Generated Content
Machine Learning Methods to Understand Textual Data
Alleviating class imbalance using data sampling: Examining the effects on classification algorithms
Learning in connectionist networks using the Alopex algorithm
REAL-TIME HIGHWAY TRAFFIC FLOW AND ACCIDENT SEVERITY PREDICTION IN VEHICULAR NETWORKS USING DISTRIBUTED MACHINE LEARNING AND BIG DATA ANALYSIS
CRACKING THE SPARSE CODE: LATERAL COMPETITION FORMS ROBUST V1-LIKE REPRESENTATIONS IN CONVOLUTIONAL NEURAL NETWORKS
EMBEDDING LEARNING FOR COMPLEX DYNAMIC INFORMATION NETWORKS
FEDERATED LEARNING FOR MEDICAL IMAGE CLASSIFICATION
FACIAL EXPRESSION PROCESSING IN AUTISM SPECTRUM DISORDER AS A FUNCTION OF ALEXITHYMIA: AN EYE MOVEMENT STUDY
ENHANCING IOT DEVICES SECURITY: ENSEMBLE LEARNING WITH CLASSICAL APPROACHES FOR INTRUSION DETECTION SYSTEM
ACCURATE DETECTION OF SELECTIVE SWEEPS WITH TRANSFER LEARNING
SUSTAINING CHAOS USING DEEP REINFORCEMENT LEARNING
MULTI-MODEL DEEP LEARNING FOR GROUPER SOUND CLASSIFICATION AND SEIZURE PREDICTION
MACHINE LEARNING DEMODULATOR ARCHITECTURES FOR POWER-LIMITED COMMUNICATIONS
META-LEARNING AND ENSEMBLE METHODS FOR DEEP NEURAL NETWORKS
FINANCIAL TIME-SERIES ANALYSIS WITH DEEP NEURAL NETWORKS
DEEP LEARNING REGRESSION MODELS FOR LIMITED BIOMEDICAL TIME-SERIES DATA

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