Items where Author is "Zebin, Tahmina"

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Number of items: 13.

Rogers, Harry, De La Iglesia, Beatriz and Zebin, Tahmina (2023) Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment. In: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings, 1 . SciTePress – Science and Technology Publications, pp. 109-120. ISBN 978-989-758-671-2

Rogers, Harry, De La Iglesia, Beatriz, Zebin, Tahmina, Cielniak, Grzegorz and Magri, Ben (2023) An Agricultural Precision Sprayer Deposit Identification System. In: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and Engineering . UNSPECIFIED, NZL. ISBN 9798350320695

Rogers, Harry and Zebin, Tahmina (2022) Explainable Droplet Recognition System for Precision Sprayer Applications. In: FARSCOPE CDT Conference, 2022-07-11 - 2022-07-15, Bristol.

Zebin, Tahmina, Rezvy, Shahadate and Luo, Yuan (2022) An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) Attacks. IEEE Transactions on Information Forensics and Security, 17. pp. 2339-2349. ISSN 1556-6013

Rezvy, Shahadate, Zebin, Tahmina, Braden, Barbara, Pang, Wei, Taylor, Stephen and Gao, Xiahong (2020) Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. In: 2020 IEEE 17th International Symposium on Biomedical Imaging, 2020-04-03 - 2020-04-07, Iowa City.

Zebin, Tahmina, Peek, Niels and Casson, Alexander J. (2019) Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks. In: International Conference of the IEEE Engineering in Medicine and Biology Society, 2019-07-23 - 2019-07-27, City Cube Berlin.

Zebin, Tahmina, Scully, Patricia J., Peek, Niels, Casson, Alexander J. and Ozanyan, Krikor B. (2019) Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition. IEEE Access, 7. pp. 133509-133520. ISSN 2169-3536

Zebin, Tahmina and Chaussalet, Thierry J. (2019) Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. In: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019-07-09 - 2019-07-11, Siena, Italy.

Zebin, Tahmina, Rezvy, Shahadate and Chaussalet, Thierry (2019) A deep learning approach for length of stay prediction in clinical settings from medical records. In: 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019-07-09 - 2019-07-11, Certosa di Pontignano, Siena.

Rezvy, Shahadate, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (2019) Intrusion Detection and Classification with Autoencoded Deep Neural Network. In: Innovative Security Solutions for Information Technology and Communications. Springer, pp. 142-156. ISBN 978-3-030-12942-2

Zebin, Tahmina, Sperrin, Matthew, Peek, Niels and Casson, Alexander J. (2018) Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018. pp. 1-4. ISSN 1557-170X

Zebin, Tahmina, Scully, Patricia J. and Ozanyan, Krikor B. (2017) Human activity recognition with inertial sensors using a deep learning approach. In: IEEE Sensors, SENSORS 2016 - Proceedings. The Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 9781479982875

Zebin, Tahmina, Scully, Patricia J. and Ozanyan, Krikor B. (2017) Inertial sensor based modelling of human activity classes:Feature extraction and multi-sensor data fusion using machine learning algorithms. In: eHealth 360° - International Summit on eHealth, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST . Springer, HUN, pp. 306-314. ISBN 9783319496542

This list was generated on Fri Aug 15 12:26:27 2025 UTC.