City Research Online

Article

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 (2022). COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features. Applied Intelligence, 52, pp. 9664-9675. doi: 10.1007/s10489-021-02731-6

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 (2022). One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features. Applied Soft Computing, 116, 108261. doi: 10.1016/j.asoc.2021.108261

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 (2022). One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention Mechanism. IEEE Intelligent Systems, 37(3), pp. 54-64. doi: 10.1109/MIS.2021.3135474

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 (2021). Lightweight Model for the Prediction of COVID-19 Through the Detection and Segmentation of Lesions in Chest CT Scans. International Journal of Automation, Artificial Intelligence and Machine Learning, 2(1), pp. 1-15.

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 (2021). Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19. Science in Information and Technology Letters, 1(2), pp. 92-99. doi: 10.31763/sitech.v1i2.202

Ananda, A., Ngan, K. H. ORCID: 0000-0001-7623-942X, Karabağ, C. ORCID: 0000-0003-4424-0471 , Ter-Sarkisov, A., Alonso, E. ORCID: 0000-0002-3306-695X & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018view all authors (2021). Classification and Visualisation of Normal and Abnormal Radiographs: a comparison between Eleven Convolutional Neural Network Architectures. Sensors, 21(16), 5381. doi: 10.3390/s21165381

Ter-Sarkisov, A. & Marsland, S. (2017). K-Bit-Swap: a new operator for real-coded evolutionary algorithms. Soft Computing, 21(20), pp. 6133-6142. doi: 10.1007/s00500-016-2170-6

Book Section

Ter-Sarkisov, A. (2020). Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos. In: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods. (pp. 621-629). Portugal: Scitepress.

Conference or Workshop Item

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 & Alonso, E. ORCID: 0000-0002-3306-695X (2022). Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks. In: ArtsIT, Interactivity and Game Creation. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. (pp. 442-456). Springer. ISBN 9783030955304 doi: 10.1007/978-3-030-95531-1_30

Ter-Sarkisov, A. (2020). Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos. Paper presented at the ICPRAM2020, 9th International Conference on Pattern Recognition Applications and Methods, 22-24 Feb 2020, Valletta, Malta.

Ananda, Karabağ, C. ORCID: 0000-0003-4424-0471, Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 , Alonso, E. ORCID: 0000-0002-3306-695X & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018view all authors (2020). Radiography Classification: A comparison between Eleven Convolutional Neural Networks. In: 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). (pp. 119-125). New York, USA: IEEE. ISBN 978-1-7281-8373-2 doi: 10.1109/MCNA50957.2020.9264285

Ter-Sarkisov, A., Kelleher, J. D., Earley, B. , Keane, M. & Ross, R. J.view all authors (2018). Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. Paper presented at the 29th British Machine Vision Conference (BMVC), 3 - 6 September 2018, Northumbria University, Newcastle.

Ter-Sarkisov, A., Ross, R. J. & Kelleher, J. D. (2017). Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis. In: 2017 14th Conference on Computer and Robot Vision (CRV). (pp. 277-284). IEEE. ISBN 9781538628188 doi: 10.1109/CRV.2017.25

Ter-Sarkisov, A., Schwenk, H., Barrault, L. & Bougares, F.view all authors (2015). Incremental Adaptation Strategies for Neural Network Language Models. In: Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality. (pp. 48-56). Association for Computational Linguistics. ISBN 978-1-932432-66-4 doi: 10.18653/v1/W15-4006

Ter-Sarkisov, A. (2012). Elitism Levels Traverse Mechanism For The Derivation of Upper Bounds on Unimodal Functions. Paper presented at the 2012 IEEE Congress on Evolutionary Computation, 10-15 Jun 2012, Brisbane, Australia.

Ter-Sarkisov, A. & Marsland, S. (2011). CONVERGENCE PROPERTIES OF TWO (mu, lambda) EVOLUTIONARY ALGORITHMS ON ONEMAX AND ROYAL ROADS TEST FUNCTIONS. In: ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications. (pp. 196-202). SciTePress. ISBN 978-989-8425-83-6

Ter-Sarkisov, A. & Marsland, S. (2011). Convergence of a Recombination-Based Elitist Evolutionary Algorithm on the Royal Roads Test Function. In: AI 2011: Advances in Artificial Intelligence. Lecture Notes in Computer Science, 7106. (pp. 361-371). Berlin: Heidelberg. ISBN 978-3-642-25831-2

Thesis

Ter-Sarkisov, A. (2012). Computational complexity of elitist population-based evolutionary algorithms: a thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University, Palmerston North, New Zealand. (Unpublished Doctoral thesis, Massey University, Palmerston North, New Zealand.)

Working Paper

Ter-Sarkisov, A. ORCID: 0000-0002-1300-6132 (2021). Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans. .