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Parallel Distributed Deep Learning on Cluster Computers
OPTIMIZED DEEP LEARNING ARCHITECTURES AND TECHNIQUES FOR EDGE AI
IMAGE QUALITY AND BEAUTY CLASSIFICATION USING DEEP LEARNING
COMPUTATION IN SELF-ATTENTION NETWORKS
NETWORK INTRUSION DETECTION AND DEEP LEARNING MECHANISMS
A UNIFIED SOFT SENSING FRAMEWORK FOR COMPLEX DYNAMICAL SYSTEMS
AN ARTIFICIAL INTELLIGENCE DRIVEN FRAMEWORK FOR MEDICAL IMAGING
FEATURE REPRESENTATION LEARNING FOR ONLINE ADVERTISING AND RECOMMENDATIONS
DATA AUGMENTATION IN DEEP LEARNING
Computer-aided diagnosis of skin cancers using dermatology images
OCR2SEQ: A NOVEL MULTI-MODAL DATA AUGMENTATION PIPELINE FOR WEAK SUPERVISION
Design of a Test Framework for the Evaluation of Transfer Learning Algorithms
PRESERVING KNOWLEDGE IN SIMULATED BEHAVIORAL ACTION LOOPS
Limits on computational precision of image compression transformations
Analysis of machine learning algorithms on bioinformatics data of varying quality
Big Data Analytics and Engineering for Medicare Fraud Detection
DEEP MAXOUT NETWORKS FOR CLASSIFICATION PROBLEMS ACROSS MULTIPLE DOMAINS
Enhancement of Deep Neural Networks and Their Application to Text Mining
INVESTIGATING MACHINE LEARNING ALGORITHMS WITH IMBALANCED BIG DATA
STATISTICAL MODELING OF SHIP AIRWAKES INCLUDING THE FEASIBILITY OF APPLYING MACHINE LEARNING

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