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Computer Science

D-Index
35
Citations
8717
World Ranking
11462
National Ranking
347

Overview

Tim Miller is affiliated with the University of Queensland in Australia. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Over the course of their career, they have contributed extensively to subfields such as Artificial Intelligence, Health Informatics, Safety Research, Computer Vision and Pattern Recognition, and Cognitive Neuroscience.

Their work covers a range of main topics, including Explainable Artificial Intelligence (XAI), Artificial Intelligence in Healthcare and Education, Adversarial Robustness in Machine Learning, Ethics and Social Impacts of AI, Machine Learning in Healthcare, AI-based Problem Solving and Planning, and Logic, Reasoning, and Knowledge.

Notable recent publications by Tim Miller include:

  • "Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review," 2020, Journal of the American Medical Informatics Association
  • "Good Proctor or "Big Brother"? Ethics of Online Exam Supervision Technologies," 2021, Philosophy & Technology
  • "Contrastive explanation: a structural-model approach," 2021, The Knowledge Engineering Review
  • "Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions," 2021, arXiv (Cornell University)
  • "Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI," 2020, arXiv (Cornell University)

Tim Miller frequently collaborates with other researchers, including Liz Sonenberg, Ronal Singh, Eduardo Velloso, Henrietta Lyons, and Frank Vetere. Their cooperative work has resulted in multiple joint publications.

Key publication venues where Tim Miller's work has appeared most often include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Artificial Intelligence
  • IEEE Transactions on Human-Machine Systems
  • Journal of Artificial Intelligence Research

Best Publications

  • Explanation in artificial intelligence: Insights from the social sciences

    Tim Miller

  • XAI—Explainable artificial intelligence

    David Gunning;Mark Stefik;Jaesik Choi;Timothy Miller

  • IARPA Janus Benchmark - C: Face Dataset and Protocol

    Brianna Maze;Jocelyn Adams;James A. Duncan;Nathan Kalka

  • Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

    Alon Jacovi;Ana Marasović;Tim Miller;Yoav Goldberg

  • IARPA Janus Benchmark-B Face Dataset

    Cameron Whitelam;Emma Taborsky;Austin Blanton;Brianna Maze

  • Explanation in Artificial Intelligence: Insights from the Social Sciences

    Tim Miller

  • Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

    Seyedeh Neelufar Payrovnaziri;Zhaoyi Chen;Pablo Rengifo-Moreno;Pablo Rengifo-Moreno;Tim Miller

  • Explainable Reinforcement Learning through a Causal Lens

    Prashan Madumal;Tim Miller;Liz Sonenberg;Frank Vetere

  • Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences.

    Tim Miller;Piers Howe;Liz Sonenberg

  • Comparing 2D vector field visualization methods: a user study

    D.H. Laidlaw;R.M. Kirby;C.D. Jackson;J.S. Davidson

  • Contrastive explanation: A structural-model approach

    Tim Miller

  • Contrastive Explanation: A Structural-Model Approach

    Tim Miller

  • Good Proctor or "Big Brother"? Ethics of Online Exam Supervision Technologies.

    Simon Coghlan;Tim Miller;Jeannie Paterson

  • Planning over multi-agent epistemic states: a classical planning approach

    Christian Muise;Vaishak Belle;Paolo Felli;Sheila McIlraith

  • Emotion-led modelling for people-oriented requirements engineering

    Tim Miller;Sonja Pedell;Antonio A. Lopez-Lorca;Antonette Mendoza

  • The design of 3D haptic widgets

    Timothy Miller;Robert Zeleznik

  • GestureBar: improving the approachability of gesture-based interfaces

    Andrew Bragdon;Robert Zeleznik;Brian Williamson;Timothy Miller

  • Electronic ink system

    Joseph LaViola;Robert Zeleznik;Timothy Miller;Loring Holden

  • Broad-Coverage Parsing Using Human-Like Memory Constraints

    Unknown

  • Crossing the agent technology chasm: Lessons, experiences and challenges in commercial applications of agents

    Steve Munroe;Tim Miller;Roxana A. Belecheanu;Michal Pěchouček

  • Model-Based Test Oracle Generation for Automated Unit Testing of Agent Systems

    L. Padgham;Zhiyong Zhang;J. Thangarajah;T. Miller

  • Requirements Elicitation and Specification Using the Agent Paradigm: The Case Study of an Aircraft Turnaround Simulator

    Tim Miller;Bin Lu;Leon Sterling;Ghassan Beydoun

  • Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions

    Henrietta Lyons;Eduardo Velloso;Tim Miller

  • Using Dependency Structures for Prioritization of Functional Test Suites

    Shifa-e-Zehra Haidry;T. Miller

  • A Grounded Interaction Protocol for Explainable Artificial Intelligence

    Prashan Madumal;Tim Miller;Liz Sonenberg;Frank Vetere

  • Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

    Alon Jacovi;Ana Marasović;Tim Miller;Yoav Goldberg

  • Distilling Deep Reinforcement Learning Policies in Soft Decision Trees

    Youri Coppens;Kyriakos Efthymiadis;Tom Lenaerts;Ann Nowé

Frequent Co-Authors

Leon Sterling
Leon Sterling Swinburne University of Technology
Frank Vetere
Frank Vetere University of Melbourne
Robert C. Zeleznik
Robert C. Zeleznik Brown University
Peter McBurney
Peter McBurney King's College London
Joseph J. LaViola
Joseph J. LaViola University of Central Florida
Steve Howard
Steve Howard University of Melbourne
Michael Winikoff
Michael Winikoff Victoria University of Wellington
Sheila A. McIlraith
Sheila A. McIlraith University of Toronto
Frank Dignum
Frank Dignum Umeå University
Robert M. Kirby
Robert M. Kirby University of Utah

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