Publications
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Journal Articles (2019- To date)
S. Thuseethan, V. Mak-Hau, J. Yearwood, B. Ofoghi and D. Molla. Cascading Large Language Models for Linear Programming Model Generation. Transactions of the Association for Computational Linguistics (SciMago: Q1 & IF: 9.194) [Under Review]
S. Thuseethan, C. Wimalasooriya and S. Vasanthapriyan. SiCov: Deep Siamese Network-based COVID-19 Recognition Framework. ICT Express (SciMago: Q1 & IF: 4.754) [Under Review]
S. Thuseethan, P. Vigneshwaran, J. Charles and C. Wimalasooriya. Siamese Network-based Lightweight Framework for Tomato Leaf Disease Recognition. Information Processing in Agriculture (SciMago: Q1 & CiteScore: 12) [Minor revision]
S. Janarthan, S. Thuseethan, S. Rajasegarar, & J. Yearwood. Family-based Plant Disease Characterization using Deep Neural Networks. Expert Systems with Applications (SciMago: Q1 & IF: 8.665) [Under Review]
S. Janarthan, S. Thuseethan, L. Qiang, Z. Yongqiang, S. Rajasegarar, and J. Yearwood. LiRAN: A lightweight residual attention network for in-field plant pest recognition, Expert Systems with Applications (SciMago: Q1 & IF: 8.665) [Under Review]
S. Thuseethan, S. Rajasegarar and J. Yearwood. Trice: Tri-stream video-based emotion change estimation framework. IEEE Transactions on Emerging Topics in Computational Intelligence (SciMago: Q1 & IF: 4.851) [Under Review]
S. Thuseethan, S. Rajasegarar and J. Yearwood. Deep3DCANN: A Deep 3DCNN-ANN Framework for Spontaneous Micro-expression Recognition. Information Sciences (SciMago: Q1 & IF: 8.233) [Accepted]
S. Janarthan, S. Thuseethan, S. Rajasegarar, & J. Yearwood, 2022. P2oP - plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection. Computers and Electronics in Agriculture (SciMago: Q1 & IF: 6.757) [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2022. EmoSeC: Emotion recognition from scene context. Neurocomputing, 492, pp.174-187. (SciMago: Q1 & IF: 5.779) [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2021. Deep Continual Learning for Emerging Emotion Recognition. IEEE Transactions on Multimedia. (SciMago: Q1 & IF: 8.182) [pdf]
M. A. Takalkar, S. Thuseethan, S. Rajasegarar, Z. Chaczko, M. Xu and J. Yearwood, 2021. LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions. Knowledge-Based Systems, 212, p.106566. (SciMago: Q1 & IF: 8.139) [pdf]
S. Janarthan, S. Thuseethan, S. Rajasegarar, Q. Lyu, Y. Zheng and J. Yearwood, 2020. Deep metric learning based citrus disease classification with sparse data. IEEE Access, 8, pp.162588-162600. (SciMago: Q1 & IF: 3.476) [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2020. Complex emotion profiling: An incremental active learning based approach with sparse annotations. IEEE Access, 8, pp.147711-147727. (SciMago: Q1 & IF: 3.476) [pdf]
Conference Papers (2019- To date)
S. Janarthan, S. Thuseethan, S. Rajasegarar and J. Yearwood, 2022. Double Attention-based Lightweight Network for Plant Pest Recognition. In 2022 International Conference on Neural Information Processing. Springer, Cham. (CORE Ranked) [Accepted]
A. I. Hewarathna, P. Vigneshwaran, J. Charles and S. Thuseethan, 2022. Deep Hybrid Learning Framework for Plant Disease Recognition. In 2022 International Research Conference in Smart Computing and Systems Engineering (SCSE). IEEE. [Accepted]
S. Thuseethan, C. Wimalasooriya and S. Vasanthapriyan, 2021, December. Deep COVID-19 Recognition Using Chest X-ray Images: A Comparative Analysis. In 2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI) (pp. 1-5). IEEE. [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2021, July. Boosting Emotion Recognition in Context using Non-target Subject Information. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-7). IEEE. (CORE Ranked) [pdf]
S. Thuseethan, S. Janarthan, S. Rajasegarar, P. Kumari and J. Yearwood, 2020, December. Multimodal deep learning framework for sentiment analysis from text-image web Data. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 267-274). IEEE. (CORE Ranked) [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2019, December. Deep hybrid spatiotemporal networks for continuous pain intensity estimation. In International Conference on Neural Information Processing (pp. 449-461). Springer, Cham. (CORE Ranked) [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2019, July. Emotion intensity estimation from video frames using deep hybrid convolutional neural networks. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-10). IEEE. (CORE Ranked) [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2019, April. Detecting micro-expression intensity changes from videos based on hybrid deep CNN. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 387-399). Springer, Cham. (CORE Ranked) [pdf]