Prof. Amanda Barnard — Research Profile
Australian National University · School of Computing
About
호주국립대학교 컴퓨터학부 소속 Amanda Barnard 교수의 등록된 연구 분야는 applied machine learning, artificial intelligence, data science, high performance computing, computational methods for physical sciences, materials, nanotechnology입니다.
Research keywords
Recent papers
- Explainable AI reveals biological heterogeneity associated with algorithmic failure in ovarian cancer screeningMachine Learning Health · Oct 3
- Instance level analysis of equitable learning via dissimilar variable grouping on healthcare datasetsInternational Journal of Medical Informatics · Sep 23
- Hidden electrode subgroups revealed by independent analysis of charge and discharge formulas using Shapley behavioural spacesMachine Learning Engineering · Sep 4
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Christopher Leckie 교수 연구실
University of Melbourne · School of Computing and Information Systems
LLMs Learn to Evade Latent Monitors from Prior Feedback AlonePreprintarXiv (Cornell University) · Sep 29Shared topic: Explainable Artificial Intelligence (XAI)
Xingliang Yuan 교수 연구실
University of Melbourne · School of Computing and Information Systems
Black-Box Auditing of Epistemic Reliability in Multi-Agent Debate DistillationPreprintarXiv (Cornell University) · Sep 26Shared topic: Explainable Artificial Intelligence (XAI)
Simon D'Alfonso 교수 연구실
University of Melbourne · School of Computing and Information Systems
PhDGPT: Measuring bias in academic mental health across quantised and uncensored LLMsInformation Processing & Management · Sep 26Shared topic: Ethics and Social Impacts of AI
Other labs in this department
- Alberto F. Martin 교수 연구실
high performance scientific computing, partial differential equations, finite elements, parallel preconditioning, scientific machine learning, GPU computing
- Alex Potanin 교수 연구실
programming language design, software verification, cyber security, trustworthy systems, quantum computing, software engineering
- Alwen Tiu 교수 연구실
formal methods, computational logic, automated theorem proving, computer security
- Antony Hosking 교수 연구실
programming languages, software systems, object persistence, database systems, memory management, garbage collection, managed language runtimes, optimizing compilers, software assurance
- Ben Swift 교수 연구실
computational art and music, data visualization, data science, human-computer interaction, machine learning
- Bernardo Nunes 교수 연구실
web science, technology enhanced learning, search as learning, semantic web, linked data, information retrieval