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Maggie Wang 0002

dblp:281/8486-2 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging 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.

Artificial intelligence
1 paper
Trustworthy machine learning · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › interpretability
concept-based explanation
0.712023
Post-hoc Concept Bottleneck Models · ICLR 2023
Machine learning › Trustworthy machine learning › interpretability
concept bottleneck model
0.712023
Post-hoc Concept Bottleneck Models · ICLR 2023
Machine learning › Trustworthy machine learning
interpretability
0.712023
Post-hoc Concept Bottleneck Models · ICLR 2023
Machine learning › Trustworthy machine learning › interpretability › concept bottleneck model
post-hoc concept bottleneck model
0.712023
Post-hoc Concept Bottleneck Models · ICLR 2023

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

post-hoc explanation · 0.7concept learning · 0.7
YearPublicationVenuePosition
2023 Post-hoc Concept Bottleneck Models
Mert Yüksekgönül, Maggie Wang 0002, James Zou 0001
ICLR2
2022 Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure
Samson Peter, Maggie Wang 0002, Chi D. Chu, Delphine S. Tuot, Arhana Chattopadhyay, Jonathan H. Chen
AMIA2