Search Results - Diethe, Tom

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  1. 1
    Bridging e-Health and the Internet of Things: The SPHERE Project

    Bridging e-Health and the Internet of Things: The SPHERE Project by Ni Zhu, Diethe, Tom, Camplani, Massimo, Lili Tao, Burrows, Alison, Twomey, Niall, Kaleshi, Dritan, Mirmehdi, Majid, Flach, Peter, Craddock, Ian

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  2. 2
    Unsupervised learning of sensor topologies for improving activity recognition in smart environments

    Unsupervised learning of sensor topologies for improving activity recognition in smart environments by Twomey, Niall, Diethe, Tom, Craddock, Ian, Flach, Peter

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  3. 3
    A Comprehensive Study of Activity Recognition Using Accelerometers

    A Comprehensive Study of Activity Recognition Using Accelerometers by Twomey, Niall, Diethe, Tom, Fafoutis, Xenofon, Elsts, Atis, McConville, Ryan, Flach, Peter, Craddock, Ian

    Published in Informatics (Basel)
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  4. 4
    A multi-sensor dataset with annotated activities of daily living recorded in a residential setting

    A multi-sensor dataset with annotated activities of daily living recorded in a residential setting by Tonkin, Emma L., Holmes, Michael, Song, Hao, Twomey, Niall, Diethe, Tom, Kull, Meelis, Perello Nieto, Miquel, Camplani, Massimo, Hannuna, Sion, Fafoutis, Xenofon, Zhu, Ni, Woznowski, Przemysław R., Tourte, Gregory J. L., Santos-Rodríguez, Raúl, Flach, Peter A., Craddock, Ian

    Published in Scientific data
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  5. 5
    An Empirical Study of Greedy Kernel Fisher Discriminants

    An Empirical Study of Greedy Kernel Fisher Discriminants by Diethe, Tom

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  6. 6
    Online Learning with (Multiple) Kernels: A Review

    Online Learning with (Multiple) Kernels: A Review by Diethe, Tom, Girolami, Mark

    Published in Neural computation
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  7. 7
    An application of hierarchical Gaussian processes to the detection of anomalies in star light curves

    An application of hierarchical Gaussian processes to the detection of anomalies in star light curves by Twomey, Niall, Chen, Haoyan, Diethe, Tom, Flach, Peter

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  8. 8
    On the need for structure modelling in sequence prediction

    On the need for structure modelling in sequence prediction by Twomey, Niall, Diethe, Tom, Flach, Peter

    Published in Machine learning
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  9. 9
    Automatic Discovery of Privacy–Utility Pareto Fronts

    Automatic Discovery of Privacy–Utility Pareto Fronts by Avent, Brendan, González, Javier, Diethe, Tom, Paleyes, Andrei, Balle, Borja

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  10. 10
    Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text

    Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text by Feyisetan, Oluwaseyi, Diethe, Tom, Drake, Thomas

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  11. 11
    Compressed Sampling for pulse Doppler radar

    Compressed Sampling for pulse Doppler radar by Smith, Graeme E, Diethe, Tom, Hussain, Zakria, Shawe-Taylor, John, Hardoon, David R

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  12. 12
    Semi-Discriminative Representation Loss for Online Continual Learning

    Semi-Discriminative Representation Loss for Online Continual Learning by Chen, Yu, Diethe, Tom, Flach, Peter

    Published in arXiv.org
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  13. 13
    An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning

    An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning by Chen, Jin, Tanno, Ryutaro, Saseendran, Amrutha, Diethe, Tom, Teare, Philip

    Published in arXiv.org
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  14. 14
    Unlocking the Heart Using Adaptive Locked Agnostic Networks

    Unlocking the Heart Using Adaptive Locked Agnostic Networks by Majchrowska, Sylwia, Hildeman, Anders, Teare, Philip, Diethe, Tom

    Published in arXiv.org
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  15. 15
    A Note on the Kullback-Leibler Divergence for the von Mises-Fisher distribution

    A Note on the Kullback-Leibler Divergence for the von Mises-Fisher distribution by Diethe, Tom

    Published in arXiv.org
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  16. 16
    Improving Antibody Humanness Prediction using Patent Data

    Improving Antibody Humanness Prediction using Patent Data by Ucar, Talip, Aubin, Ramon, Oglic, Dino, Croasdale-Wood, Rebecca, Diethe, Tom, Sormanni, Pietro

    Published in arXiv.org
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  17. 17
    DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations

    DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations by Aryo, Pradipta Gema, Chen, Jin, Abdulaal, Ahmed, Diethe, Tom, Teare, Philip, Alex, Beatrice, Minervini, Pasquale, Saseendran, Amrutha

    Published in arXiv.org
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  18. 18
    Optimal Continual Learning has Perfect Memory and is NP-hard

    Optimal Continual Learning has Perfect Memory and is NP-hard by Knoblauch, Jeremias, Husain, Hisham, Diethe, Tom

    Published in arXiv.org
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  19. 19
    Tackling Structural Hallucination in Image Translation with Local Diffusion

    Tackling Structural Hallucination in Image Translation with Local Diffusion by Kim, Seunghoi, Chen, Jin, Diethe, Tom, Figini, Matteo, Tregidgo, Henry F J, Mullokandov, Asher, Teare, Philip, Alexander, Daniel C

    Published in arXiv.org
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  20. 20
    Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text

    Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text by Feyisetan, Oluwaseyi, Diethe, Tom, Drake, Thomas

    Published in arXiv.org
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