Rogers, H., De La Iglesia, B. and Zebin, T. (2023) 'Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment'.15th International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy. 13 - 15 November. SCITEPRESS - Science and Technology Publications. pp. 109 - 120. ISSN: 2184-3228 Open Access Link

Rogers, H., Zebin, T. and De la Iglesia, B. (2023) 'An Agricultural Precision Sprayer Deposit Identification System'.IEEE International Conference on Automation Science and Engineering (CASE) 2023. Auckland, New Zealand. 28 - 30 August. IEEE. pp. 1 - 6. ISSN: 2161-8070 Open Access Link

Rogers, H., De La Iglesia, B., Zebin, T., Cielniak, G. and Magri, B. (2023) 'An Automated Precision Spraying Evaluation System'.24th Annual Conference, TAROS 2023. Cambridge, UK. 8 - 15 September. Springer Nature Switzerland. pp. 26 - 37. ISSN: 0302-9743 Open Access Link

Zebin, T., Rezvy, S. and Luo, Y. (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 Open Access Link

Zebin, T. and Rezvy, S. (2021) 'COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization'. Applied Intelligence, 51 (2). pp. 1010 - 1021. ISSN: 0924-669X

Rezvy, S., Zebin, T., Braden, B., Pang, W., Taylor, S. and Gao, XW. (2020) 'Transfer learning for endoscopy disease detection and segmentation with MASk-RCNN benchmark architecture'. CEUR Workshop Proceedings. pp. 68 - 72. ISSN: 1613-0073

Zebin, T., Rezvy, S. and Chaussalet, TJ. (2019) 'A deep learning approach for length of stay prediction in clinical settings from medical records'.2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE. pp. 59 - 63.

Zebin, T., Peek, N. and Casson, AJ. (2019) 'Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks'.2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). United States. 1 - 27 July. IEEE. pp. 1251 - 1254. ISSN: 1557-170X

Zebin, T. and Chaussalet, TJ. (2019) 'Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records'.2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE. pp. 64 - 68.

Zebin, T., Balaban, E., Ozanyan, KB., Casson, AJ. and Peek, N. (2019) 'Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition'.2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE.

Rezvy, S., Luo, Y., Petridis, M., Lasebae, A. and Zebin, T. (2019) 'An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks'.2019 53rd Annual Conference on Information Sciences and Systems (CISS). IEEE.

Zebin, T., Scully, PJ., Peek, N., Casson, AJ. and Ozanyan, KB. (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

Rezvy, S., Petridis, M., Lasebae, A. and Zebin, T. (2019) 'Intrusion detection and classification with autoencoded deep neural network'. Springer International Publishing. pp. 142 - 156. ISSN: 0302-9743

Zebin, T., Sperrin, M., Peek, N. and Casson, AJ. (2018) 'Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks'. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2018-July. pp. 1 - 4. ISSN: 1557-170X

Zebin, T., Scully, PJ. and Ozanyan, KB. (2017) 'Evaluation of supervised classification algorithms for human activity recognition with inertial sensors'.2017 IEEE SENSORS. IEEE. pp. 1 - 3. ISSN: 1930-0395

Zebin, T., Scully, PJ. and Ozanyan, KB. (2017) 'Inertial sensor based modelling of human activity classes: Feature extraction and multi-sensor data fusion using machine learning algorithms'. Springer International Publishing. pp. 306 - 314. ISSN: 1867-8211

Zebin, T., Scully, PJ., Ozanyan, KB. and IEEE. (2017) 'Evaluation of Supervised Classification Algorithms for Human Activity Recognition with Inertial Sensors'. 2017 IEEE SENSORS. pp. 1038 - 1040. ISSN: 1930-0395

Zebin, T., Scully, PJ. and Ozanyan, KB. (2016) 'Human activity recognition with inertial sensors using a deep learning approach'.2016 IEEE SENSORS. IEEE. ISSN: 1930-0395

Zebin, T., Scully, P. and Ozanyan, KB. (2015) 'Inertial sensing for gait analysis and the scope for sensor fusion'.2015 IEEE Sensors. IEEE. pp. 382 - 385. ISSN: 1930-0395

Scully, PJ., Cantoral-Ceballos, J., Vaughan, J., Wright, P., Zebin, T., Podd, F., Costilla-Reyes, O., Brown Wilson, C., Todd, C., Stanmore, E. and Ozanyan, KB. et al. (2015) 'Imagimat smart carpet: POF layer to detect gait and mobility'. 24th International Conference on Plastic Optical Fibers, POF 2015 - Conference Proceedings. pp. 240 - 243.

Zebin, T. and Alam, MS. (2012) 'Modeling and control of a two-link flexible manipulator using fuzzy logic and genetic optimization techniques'. Journal of Computers, 7 (3). pp. 578 - 585. ISSN: 1796-203X

Zebin, T. and Alam, MS. (2010) 'Dynamic modeling and fuzzy logic control of a two-link flexible manipulator using genetic optimization techniques'.2010 13th International Conference on Computer and Information Technology (ICCIT). IEEE. pp. 418 - 423.