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20182023
most citedData Augmentation Using GANs

144 citations · 175 across the 16 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.MA2022

An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models

Luiz Fernando Silva Eugênio dos Santos, Claus Aranha, André Ponce de Leon F de Carvalho

We apply the knowledge of urban settings established with the study of Land Use and Transport Interaction (LUTI) models to develop reward functions for an agent-based system capabl…

cs.NE2022

Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives

Yifan He, Claus Aranha, Tetsuya Sakurai

We introduce Knowledge-Driven Program Synthesis (KDPS) as a variant of the program synthesis task that requires the agent to solve a sequence of program synthesis problems. In KDPS…

cs.LG2022

A Novel Weighted Ensemble Learning Based Agent for the Werewolf Game

Mohiuddeen Khan, Claus Aranha

Werewolf is a popular party game throughout the world, and research on its significance has progressed in recent years. The Werewolf game is based on conversation, and in order to…

cs.NE2022

Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems

Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa +1

The performance of multiobjective algorithms varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simplify the development an…

cs.NE2022

Search Trajectories Networks of Multiobjective Evolutionary Algorithms

Yuri Lavinas, Claus Aranha, Gabriela Ochoa

Understanding the search dynamics of multiobjective evolutionary algorithms (MOEAs) is still an open problem. This paper extends a recent network-based tool, search trajectory netw…