Projects per year
Personal profile
Biography
Jason joined the School of Computing Sciences as an undergraduate student in 2007, studying a BSc in Computing Sciences at UEA. He graduated with first class honours in 2010 and then began a PhD later that year under the supervision of Dr. Tony Bagnall with the title Time Series Classification through Transformation and Ensembles. Towards the end of his PhD, Jason moved to the USA to work as a data science intern for Apple Inc., before then returning to the UK to complete his PhD and begin a research position in CMP. He was the named researcher on a fully-funded EPSRC proposal led by Dr. Bagnall, and after working as a Senior Research Associate in CMP for a year and a half, Jason was offered a faculty position to become a Lecturer in Computing Sciences at UEA.
Jason's current research interests are in machine learning generally, and specifically relating to time series classification with an emphasis on real-time and on-chip classification. He is CO-I on EPSRC grant EP/M015807/1: The Collective of Transform Ensembles (COTE) for Time Series Classification
Jason is currently teaching on: Programming 1 (first year), Data Structures and Algorithms (second year), and Machine Learning (third year).
Key Research Interests
Key Responsibilities
Director of Employability
Network
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Enhancing the Employability of students in the new digital transformation world
Parr, G., Aung, M. H., Carpenter, W., Chin, J. & Lines, J.
1/01/22 → 31/03/24
Project: Research
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Smart Environments Research Facility
Lettice, F., Aung, M. H., Bagnall, T., Buckley, O., Cawley, G., Day, A., De La Iglesia, B., Finlayson, G., Harvey, R., Huber, K., Kulinskaya, E., Laycock, S., Lines, J., Mackiewicz, M., Milner, B., Moulton, V., Parr, G., Ren, E. & Wang, W.
Engineering and Physical Sciences Research Council
10/01/20 → 8/07/22
Project: Research
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TS-QUAD: A Smaller Elastic Ensemble For Time Series Classification
Lines, J. & Oastler, G., 29 May 2022, p. 221–232. 12 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile8 Downloads (Pure) -
HIVE-COTE 2.0: a new meta ensemble for time series classification
Middlehurst, M., Large, J., Flynn, M., Lines, J., Bostrom, A. & Bagnall, A., Dec 2021, In: Machine Learning. 110, p. 3211–3243 33 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Citations (Scopus)18 Downloads (Pure) -
Understanding Trust in Social Media: Twitter
Ives-Keeler, C., Buckley, O. & Lines, J., 3 Jul 2021, HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings: Communications in Computer and Information Science. Stephanidis, C., Antona, M. & Ntoa, S. (eds.). Springer, p. 440-447 8 p. (Communications in Computer and Information Science; vol. 1419).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile1 Citation (Scopus)8 Downloads (Pure) -
A comparison of machine learning methods for detecting right whales from autonomous surface vehicles
Vickers, W., Milner, B., Lee, R. & Lines, J., 18 Nov 2019, p. 1-5. 5 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile1 Citation (Scopus)44 Downloads (Pure) -
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
Large, J., Lines, J. & Bagnall, A., 1 Nov 2019, In: Data Mining and Knowledge Discovery. 33, 6, p. 1674-1709 36 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile45 Citations (Scopus)50 Downloads (Pure)