Publications
09
11
15
06
Journal Articles
2025
R. George, S. Thuseethan, Roshan G. Ragel, Kayathiri Mahendrakumaran, Sivaraj Nimishan, Chathrie Wimalasooriya and Mamoun Alazab, 2025. Past, Present, and Future of Deep Plant Leaf Disease Recognition: A Survey, Computers and Electronics in Agriculture [pdf]
2024
S. Thuseethan, P. Vigneshwaran, J. Charles and C. Wimalasooriya, 2024. Siamese network-based lightweight framework for tomato leaf disease recognition, Computers [pdf]
S. Janarthan, S. Thuseethan, L. Qiang, Z. Yongqiang, S. Rajasegarar, and J. Yearwood, 2024. LiRAN: A lightweight residual attention network for in-field plant pest recognition, IEEE Transactions on AgriFood Electronics [pdf]
A. I. Hewarathna, L. Hamlin, J. Charles, P. Vigneshwaran, R. George, S. Thuseethan, C. Wimalasooriya and B. Shanmugam, 2024. Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net, Technologies [pdf]
2023
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2023. Deep3DCANN: A Deep 3DCNN-ANN Framework for Spontaneous Micro-expression Recognition. Information Sciences [pdf]
2022
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 [pdf]
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2022. EmoSeC: Emotion recognition from scene context. Neurocomputing, 492, pp.174-187 [pdf]
2021
S. Thuseethan, S. Rajasegarar and J. Yearwood, 2021. Deep Continual Learning for Emerging Emotion Recognition. IEEE Transactions on Multimedia [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 [pdf]
2020
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 [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 [pdf]
Conference Papers (2019- To date)
R. George, S. Thuseethan and R. G. Ragel, 2024. Comparative Analysis of Pretrained Deep Neural Networks for Plant Disease Classification. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024). IEEE. [Accepted]
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 [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 [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 [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 [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 [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 [pdf]