Collaborated with:
Peter Cowling Anders Drachen Ryan J. Spick Oliver James Scholten Simon Demediuk Peter York F.Block Charles Ringer M.A.Nicolaou K.A.Hawick Nathan Gerard Jayy Hughes Sebastian Deterding David Zendle Daniel Hernandez Kevin Denamganaï Y.Gao S.Devlin Spyridon Samothrakis Adam Katona V.J.Hodge
Talks about:
analysi (2) learn (2) game (2) dota (2) use (2) livestream (1) unconvent (1) framework (1) recognit (1) procedur (1)
Person: James Alfred Walker
DBLP: Walker:James_Alfred
Contributed to:
Wrote 7 papers:
- AIIDE-2019-DemediukYDWB #analysis #identification
- Role Identification for Accurate Analysis in Dota 2 (SD, PY, AD, JAW, FB), pp. 130–138.
- CHI-PLAY-2019-ScholtenHDDWZ
- Ethereum Crypto-Games: Mechanics, Prevalence, and Gambling Similarities (OJS, NGJH, SD, AD, JAW, DZ), pp. 379–389.
- CoG-2019-HernandezDGYDSW #framework #self
- A Generalized Framework for Self-Play Training (DH, KD, YG, PY, SD, SS, JAW), pp. 1–8.
- CoG-2019-KatonaSHDBDW #learning #predict #using
- Time to Die: Death Prediction in Dota 2 using Deep Learning (AK, RJS, VJH, SD, FB, AD, JAW), pp. 1–8.
- CoG-2019-RingerWN #game studies #multimodal #recognition
- Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams (CR, JAW, MAN), pp. 1–8.
- CoG-2019-ScholtenCHW #analysis #statistics
- Unconventional Exchange: Methods for Statistical Analysis of Virtual Goods (OJS, PC, KAH, JAW), pp. 1–7.
- CoG-2019-SpickCW #generative #learning #using
- Procedural Generation using Spatial GANs for Region-Specific Learning of Elevation Data (RJS, PC, JAW), pp. 1–8.