City Research Online

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(9), pp. 9664-9675. doi: 10.1007/s10489-021-02731-6

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. EAI ArtsIT 2021 – 10th EAI International Conference: ArtsIT, Interactivity & Game Creation, 2-4 Dec 2021, Karlsruhe, Germany (virtual). doi: 10.1007/978-3-030-95531-1_30

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, article number 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). Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans. .

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), article number 5381. doi: 10.3390/s21165381

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.

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 - Science and Technology Publications. doi: 10.5220/0009343906210629

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). 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA), 19-22 Oct 2020, Online. 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. In: BMVC. 29th British Machine Vision Conference (BMVC), 3 - 6 September 2018, Northumbria University, Newcastle.

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

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). 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. doi: 10.18653/v1/W15-4006

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.)

Ter-Sarkisov, A. (2012). Elitism Levels Traverse Mechanism For The Derivation of Upper Bounds on Unimodal Functions. In: 2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 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.

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.