2021

Kinch, Martin ORCID: 0000-0002-4737-7118 and Keates, Simeon ORCID: 0000-0002-2826-672X (2021) Contextual cues: the role of machine learning in supporting contextually impaired users. In: Universal Access in Human-Computer Interaction. Design Methods and User Experience 15th International Conference, UAHCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I. Lecture Notes in Computer Science - Information Systems and Applications, incl. Internet/Web, and HCI (LNISA), 12768 . Springer, Cham, pp. 567-569. ISBN 978-3030780920; 978-3030780913 (doi:https://doi.org/10.1007/978-3-030-78092-0_39)

2019

Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)

2018

Kinch, Martin ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2018) An evolutionary machine learning algorithm to enhance language processing. In: 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science. Frontiers, pp. 113-115. ISBN 978-2889454211 (doi:https://doi.org/10.3389/978-2-88945-421-1)

2017

Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2017) Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In: The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling, Tuesday, 6th June 2017, University of Greenwich, Chatham Maritime ME4 4TB.