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Scott Miles

dblp:167/4063 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-5365-1013ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 77% Human-AI interaction · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools
visual programming		 0.712023
Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming · CHI 2023

Methods — techniques the papers use, named apart from their topics

formative study · 0.7
YearPublicationVenuePosition
2023 Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming
abstract
In recent years, there has been a proliferation of multimedia applications that leverage machine learning (ML) for interactive experiences. Prototyping ML-based applications is, however, still challenging, given complex workflows that are not ideal for design and experimentation. To better understand these challenges, we conducted a formative study with seven ML practitioners to gather insights about common ML evaluation workflows.
Ruofei Du, Na Li 0034, Michelle Carney, Scott Miles, Maria Kleiner, Xiuxiu Yuan, Yinda Zhang 0001, Anuva Kulkarni, Xingyu Liu 0002, Ahmed Sabie, Sergio Orts, Abhishek Kar, Ram Iyengar, Adarsh Kowdle, Alex Olwal
 CHI5