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Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

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  1. Article

    Open Access

    TacticAI: an AI assistant for football tactics

    Identifying key patterns of tactics implemented by rival teams, and develo** effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge. T...

    Zhe Wang, Petar Veličković, Daniel Hennes, Nenad Tomašev in Nature Communications (2024)

  2. Article

    Open Access

    Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy

    The success of human civilization is rooted in our ability to cooperate by communicating and making joint plans. We study how artificial agents may use communication to better cooperate in Diplomacy, a long-st...

    János Kramár, Tom Eccles, Ian Gemp, Andrea Tacchetti in Nature Communications (2022)

  3. Article

    Open Access

    Designing all-pay auctions using deep learning and multi-agent simulation

    We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with different prize allocati...

    Ian Gemp, Thomas Anthony, Janos Kramar, Tom Eccles, Andrea Tacchetti in Scientific Reports (2022)

  4. Article

    Manifestations of user personality in website choice and behaviour on online social networks

    Individual differences in personality affect users’ online activities as much as they do in the offline world. This work, based on a sample of over a third of a million users, examines how users’ behaviour in ...

    Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell in Machine Learning (2014)

  5. Chapter and Conference Paper

    Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model

    We propose a probabilistic graphical model for predicting student attainment in web-based education. We empirically evaluate our model on a crowdsourced dataset with students and teachers; Teachers prepared le...

    Bar Shalem, Yoram Bachrach, John Guiver in Machine Learning and Knowledge Discovery i… (2014)