Research output per year
Research output per year
Search results
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2023
Understanding Tumor Micro Environment Using Graph Theory
Rohail, K., Bashir, S., Ali, H., Alam, T., Khan, S., Wu, J., Chen, P. & Qureshi, R., 2023, Computer Vision – ACCV 2022 Workshops - 16th Asian Conference on Computer Vision, Revised Selected Papers. Zheng, Y., Keleş, H. Y. & Koniusz, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 90-101 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13848 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2021
Survival prediction of lung cancer patients by integration of clinical and molecular features using machine learning
Basit, S. A., Qureshi, R., Shahid, A. R. & Khan, S., 2021, 2021 15th International Conference on Open Source Systems and Technologies, ICOSST 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 15th International Conference on Open Source Systems and Technologies, ICOSST 2021 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2020
Human expression recognition using facial shape based Fourier descriptors fusion
Shahid, A. R., Khan, S. & Yan, H., 2020, 12th International Conference on Machine Vision, ICMV 2019. Osten, W., Nikolaev, D. & Zhou, J. (eds.). SPIE, 114330P. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11433).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access8 Citations (Scopus) -
2019
Saliency detection by using blended membership maps of fast fuzzy-C-mean clustering
Nawaz, M., Khan, S., Cao, J., Qureshi, R. & Yan, H., 2019, Eleventh International Conference on Machine Vision, ICMV 2018. Radeva, P., Verikas, A., Zhou, J. & Nikolaev, D. P. (eds.). SPIE, 1104123. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11041).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
9 Citations (Scopus) -
2017
Tensor learningusing N-mode SVD for dynamic background modelling and subtraction
Khan, S., Xu, G. & Yan, H., 5 Dec 2017, RPC 2017 - Proceedings of the 2nd Russian-Pacific Conference on Computer Technology and Applications. Institute of Electrical and Electronics Engineers Inc., p. 6-10 5 p. (RPC 2017 - Proceedings of the 2nd Russian-Pacific Conference on Computer Technology and Applications; vol. 2017-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
2016
Feature selection based on co-clustering for effective facial expression recognition
Khan, S., Chen, L., Zhe, X. & Yan, H., 2 Jul 2016, Proceedings of 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016. IEEE Computer Society, p. 48-53 6 p. 7860876. (Proceedings - International Conference on Machine Learning and Cybernetics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Citations (Scopus)