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Prediction of survival of early stages lung cancer patients based on ER beta cellular expressions and epidemiological data
Parallel Distributed Discrete Event Simulation Optimization Using Complexity and Deep Learning
Leveraging the Intrinsic Switching Behaviors of Spintronic Devices for Digital and Neuromorphic Circuits
ATMOSPHERIC ENTRY
GAUSS-NEWTON BASED LEARNING FOR FULLY RECURRENT NEURAL NETWORKS
DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORKS MODEL TO ESTIMATE DELAY USING TOLL PLAZA TRANSACTION DATA
A NEAT APPROACH TO GENETIC PROGRAMMING
Stochastic-Based Computing with Emerging Spin-Based Device Technologies
D-FENS: DNS Filtering (&) Extraction Network System for Malicious Domain Names
LEARNING FROM GEOMETRY IN LEARNING FOR TACTICAL AND STRATEGIC DECISION DOMAINS
Online Neuro-Adaptive Learning For Power System Dynamic State Estimation
NEURAL NETWORK TREES AND SIMULATION DATABASES: NEW APPROACHES FOR SIGNALIZED INTERSECTION CRASH CLASSIFICATION AND PREDICTION
NEURAL NETWORKS SATISFYING STONE-WEIESTRASS THEOREM AND APPROXIMATING SCATTERED DATABYKOHONEN NEURAL NETWORKS
MODIFICATIONS TO THE FUZZY-ARTMAP ALGORITHM FOR DISTRIBUTED LEARNING IN LARGE DATA SETS
EVOLUTIONARY OPTIMIZATION OF SUPPORT VECTOR MACHINES
NON-SILICON MICROFABRICATED NANOSTRUCTURED CHEMICAL SENSORS FOR ELECTRIC NOSE APPLICATION
LEARNING HUMAN BEHAVIOR FROM OBSERVATION FOR GAMING APPLICATIONS
Leaning Robust Sequence Features via Dynamic Temporal Pattern Discovery
Training Neural Networks Through the Integration of Evolution and Gradient Descent
detecting anomalies from big data system logs

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