A

Ahn, Euijoon, Kumar, Ashnil, Feng, Dagan, Fulham, Michael, and Kim, Jinman (2019) Unsupervised Deep Transfer Feature Learning for Medical Image Classification. In: Proceedings of the IEEE 16th International Symposium on Biomedical Imaging. pp. 1915-1918. From: ISB I2019: IEEE 16th International Symposium on Biomedical Imaging, 8-11 April 2019, Venice, Italy.

Ahn, Euijoon, Kim, Jinman, Bi, Lei, Kumar, Ashnil, Li, Changyang, Fulham, Michael, and Feng, David Dagan (2017) Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE Journal of Biomedical and Health Informatics, 21 (6). pp. 1685-1693.

Ahn, Euijoon, Bi, Lei, Jung, Youn Hyun, Kim, Jinman, Li, Changyang, Fulham, Michael, and Feng, David Dagan (2015) Automated saliency-based lesion segmentation in dermoscopic images. In: Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 3009-3012. From: EMBC 2015: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 25-29 August 2015, Milan, Italy.

B

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Kumar, Ashnil, Feng, Dagan, and Fulham, Michael (2019) Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognition, 85. pp. 78-89.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Kumar, Ashnil, Fulham, Michael, and Feng, Dagan (2017) Dermoscopic image segmentation via multistage fully convolutional networks. IEEE Transactions on Biomedical Engineering, 64 (9). pp. 2065-2074.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2017) Semi-automatic skin lesion segmentation via fully convolutional networks. In: Proceedings of the IEEE 14th International Symposium on Biomedical Imaging. pp. 561-564. From: ISBI 2017: IEEE 14th International Symposium on Biomedical Imaging, 18-21 April 2017, Melbourne, VIC, Australia.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2016) Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. In: Proceedings of the 13th International Symposium on Biomedical Imaging. pp. 1059-1062. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2016) Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. In: Proceedings of the 13th International Symposium on Biomedical Imaging (4) pp. 1055-1058. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

D

Das, Abhijit, Suwanwiwat, Hemmaphan, and Pal, Umapada (2024) A novel multi-task learning technique for offline handwritten short answer spotting and recognition. Multimedia Tools and Applications, 83. pp. 53441-53465.

Das, Abhijit, Suwanwiwat, Hemmaphan, Pal, Umapada, and Blumenstein, Michael (2020) ICFHR 2020 Competition on Short answer ASsessment and Thai student SIGnature and Name COMponents Recognition and Verification (SASIGCOM 2020). In: Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition. pp. 222-227. From: ICFHR 2020: 17th International Conference on Frontiers in Handwriting Recognition, 8-10 September 2020, Dortmund, Germany.

Das, Abhijit, Suwanwiwat, Hemmaphan, Ferrer, Miguel A., Pal, Umapada, and Blumenstein, Michael (2018) Thai automatic signature verification system employing textural features. IET Biometrics, 7 (6). pp. 615-627.

G

Guo, Yuyu, Bi, Lei, Ahn, Euijoon, Feng, Dagan, Wang, Quian, and Kim, Jinman (2020) A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4725-4734. From: CVPR 2020: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 13-19 June 2020, Seattle, WA, USA.

H

Huo, Shuwei, Zhou, Yuan, Wang, Ruolin, Xiang, Wei, and Kung, Sun Yuan (2023) Semantic Relevance Learning for Video-Query Based Video Moment Retrieval. IEEE Transactions on Multimedia, 25. pp. 9290-9301.

Huang, Yi, Song, Insu, Rana, Priyanka, and Koh, Guan (2017) Fast diagnosis of bowel activities. In: Proceedings of the International Joint Conference on Neural Networks. pp. 3042-3049. From: IJCNN 2017: International Joint Conference on Neural Networks, 14-19 May 2017, Anchorage, AK, USA.

L

Liu, Liu, Chen, Chao, Zhang, Jun, De Vel, Olivier, and Xiang, Yang (2020) Doc2vec-based insider threat detection through behaviour analysis of multi-source security logs. In: Proceedings of the IEEE 19th International Conference on Trust, Security and Privacy in Computing. pp. 301-309. From: TrustCom 2020: IEEE 19th International Conference on Trust, Security and Privacy in Computing, 29 December 2020 - 1 January 2021, Guangzhou, China.

S

Subash, Aditya, Song, Insu, and Tao, Kexin (2023) Robust Keystroke Behavior Features for Continuous User Authentication for Online Fraud Detection. In: Lecture Notes in Networks and Systems (693) pp. 879-891. From: ICICT 2023: International Conference on Information and Computer Technologies, 24-26 March 2023, London, UK.

Suwanwiwat, Hemmaphan, Das, Abhijit, Saqib, Muhammad, and Pal, Umapada (2021) Benchmarked multi-script Thai scene text dataset and its multi-class detection solution. Multimedia Tools and Applications, 80. pp. 11843-11863.

Suwanwiwat, Hemmaphan, Das, Abhijit, Ferrer, Miguel, Pal, Umapada, and Blumenstein, Michael (2018) An investigation of discrete Hidden Markov Models on handwritten short answer assessment system. In: Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence. pp. 144-149. From: ICPRAI 2018: International Conference on Pattern Recognition and Artificial Intelligence, May 14-17 2018, Montréal, Canada.

Suwanwiwat, Hemmaphan, Das, Abhijit, Pal, Umapada, and Blumenstein, Michael (2018) ICFHR 2018 competition on Thai student signatures and name components recognition and verification (TSNCRV2018). In: Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition. pp. 500-505. From: ICFHR 2018: 16th International Conference on Frontiers in Handwriting Recognition, 5-8 August 2018, Niagara Falls, NY, USA.

Suwanwiwat, Hemmaphan, Pal, Umapada, and Blumenstein, Michael (2016) An investigation of novel combined features for a handwritten short answer assessment system. In: Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition. pp. 102-107. From: ICFHR 2016: 15th International Conference on Frontiers in Handwriting Recognition, 23-26 October 2016, Shenzhen, China.

X

Xie, Jie, Indraswari, Karlina, Schwarzkopf, Lin, Towsey, Michael, Zhang, Jinglan, and Roe, Paul (2018) Acoustic classification of frog within-species and species-specific calls. Applied Acoustics, 131. pp. 79-86.

Z

Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2019) Multi-level medical periodic patterns from human movement behaviors. Health Information Science and Systems, 7 (1). 9.