5 citations · 8 across the 5 of their papers we have counts for
5 papers
Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization
Ahmad Esmaeili, Zahra Ghorrati, Eric T. Matson
Hyper-parameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, rangi…
Hierarchical Collaborative Hyper-parameter Tuning
Ahmad Esmaeili, Zahra Ghorrati, Eric Matson
Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distri…
HAMLET: A Hierarchical Agent-based Machine Learning Platform
Ahmad Esmaeili, John C. Gallagher, John A. Springer +1
Hierarchical Multi-Agent Systems provide convenient and relevant ways to analyze, model, and simulate complex systems composed of a large number of entities that interact at differ…
Stealth UAV through Coanda Effect
Dongyoon Shin, Hyeji Kim, Jihyuk Gong +3
This paper uses Coanda Effect to reduce motors, the source of noise, and finds low noise materials with sufficient lift force so that it can achieve acoustical stealth UAVs.Accordi…
A Directional Antenna based Leader-Follower Relay System for End-to-End Robot Communications
Byung-Cheol Min, Ramviyas Parasuraman, Sangjun Lee +2
In this paper, we present a directional antenna-based leader-follower robotic relay system capable of building end-to-end communication in complicated and dynamically changing envi…