IEEE

Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...
JSTOR Daily

MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM: CASE STUDY BABOLDASHT DISTRICT OF ISFAHAN, IRAN

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...
IEEE

An Optimization of Feedback Signal Transmission and Reconstruction for Tactile Internet: A Multi-Objective Bayesian Approach

Abstract: In this paper, we present a novel multi-objective Bayesian optimization approach for tactile feedback transmission and reconstruction in the NFV-based tactile Internet (NFV-based TI). For ...
CU Boulder News & Events

Many-Objective Analysis to Optimize Pumping and Releases in Multireservoir Water Supply Network

R. Smith, J. Kasprzyk, and E. Zagona (2015). “Many-Objective Analysis to Optimize Pumping and Releases in Multireservoir Water Supply Network,” Journal of Water ...