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researcher

F. Silva

6 papers hereh-index 13434 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author3
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.HC1
  • cs.NE1
same name
  • F. Silva — 7 papers, h 14
  • F. Silva — 5 papers, h 4
  • F. Silva — 4 papers, h 5
  • F. Silva — 4 papers, h 4
  • F. Silva — 3 papers, h 3
  • F. Silva — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162019
most citedRioBusData: Outlier Detection in Bus Routes of Rio de Janeiro

16 citations · 16 across the 3 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.AI2019

Automated Playtesting of Matching Tile Games

Luvneesh Mugrai, Fernando de Mesentier Silva, Christoffer Holmgård +1

Matching tile games are an extremely popular game genre. Arguably the most popular iteration, Match-3 games, are simple to understand puzzle games, making them great benchmarks for…

cs.AI2019

The Many AI Challenges of Hearthstone

Amy K. Hoover, Julian Togelius, Scott Lee +1

Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different s…

cs.AI2019

Evolving the Hearthstone Meta

Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee +3

Balancing an ever growing strategic game of high complexity, such as Hearthstone is a complex task. The target of making strategies diverse and customizable results in a delicate i…

cs.NE2019

Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries

Matthew C. Fontaine, Scott Lee, L. B. Soros +3

Quality diversity (QD) algorithms such as MAP-Elites have emerged as a powerful alternative to traditional single-objective optimization methods. They were initially applied to evo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.