David Windridge

Associate Professor in Computer Science

Department of Computer Science

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Latest Additions

  1. Navidan, Hojjat ORCID: https://orcid.org/0000-0001-5269-6909, Moshiri, Parisa Fard, Nabati, Mohammad, Shahbazian, Reza, Ghorashi, Seyed Ali ORCID: https://orcid.org/0000-0002-2910-9208, Shah-Mansouri, Vahid ORCID: https://orcid.org/0000-0003-4810-491X and Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2021) Generative Adversarial Networks (GANs) in networking: a comprehensive survey & evaluation. Computer Networks , 108149. ISSN 1389-1286 [Article] (Published online first) (doi:10.1016/j.comnet.2021.108149)
  2. Naeem Abid, Mian Muhammad, Zia, Tehseen, Ghafoor, Mubeen and Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2021) Multi-view convolutional recurrent neural networks for lung cancer nodule identification. Neurocomputing . ISSN 0925-2312 [Article] (Published online first) (doi:10.1016/j.neucom.2020.06.144)
  3. Brown, Mark, Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 and Guillemaut, Jean-Yves ORCID: https://orcid.org/0000-0001-8223-5505 (2019) A family of globally optimal branch-and-bound algorithms for 2D–3D correspondence-free registration. Pattern Recognition, 93 . pp. 36-54. ISSN 0031-3203 [Article] (doi:10.1016/j.patcog.2019.04.002)
  4. Spiteri, Michaela, Guillemaut, Jean-Yves, Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516, Avula, Shivaram, Kumar, Ram and Lewis, Emma (2020) Fully-automated identification of imaging biomarkers for post-operative cerebellar mutism syndrome using longitudinal paediatric MRI. Neuroinformatics, 18 (1) . pp. 151-162. ISSN 1539-2791 [Article] (doi:10.1007/s12021-019-09427-w)
  5. Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516, Svensson, Henrik and Thill, Serge ORCID: https://orcid.org/0000-0003-1177-4119 (2020) On the utility of dreaming: a general model for how learning in artificial agents can benefit from data hallucination. Adaptive Behavior . ISSN 1059-7123 [Article] (Published online first) (doi:10.1177/1059712319896489)
  6. Gunn, Ian and Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2018) Revisiting direct neuralisation of first-order logic. In: NeSy 2018 : Thirteenth International Workshop on Neural-Symbolic Learning and Reasoning, 23-24 Aug 2018, Prague, Czech Republic. . [Conference or Workshop Item]
  7. Zia, Tehseen, Zahid, Usman and Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2019) A generative adversarial strategy for modeling relation paths in knowledge base representation learning. In: KR2ML - Knowledge Representation and Reasoning Meets Machine Learning Workshop, NeurIPS 2019, Thirty-third Conference on Neural Information Processing Systems, 09-14 Dec 2019, Vancouver, Canada. . [Conference or Workshop Item]
  8. Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 and Thill, Serge (2018) Representational fluidity in embodied (artificial) cognition. Biosystems, 172 . pp. 9-17. ISSN 0303-2647 [Article] (doi:10.1016/j.biosystems.2018.07.007)
  9. Avula, Shivaram, Spiteri, Michaela, Kumar, Ram, Lewis, Emma, Harave, Srikrishna, Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516, Ong, Chan and Pizer, Barry (2016) Post-operative pediatric cerebellar mutism syndrome and its association with hypertrophic olivary degeneration. Quantitative Imaging in Medicine and Surgery, 6 (5) . pp. 535-544. ISSN 2223-4292 [Article] (doi:10.21037/qims.2016.10.11)
  10. Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516 (2015) On the intrinsic limits to representationally-adaptive machine-learning. ArXiv e-prints . [Article]