Items where Author / Artist / Editor is "Zia, Tehseen"

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Number of items: 5.

Article

Tubaishat, Abdallah, Zia, Tehseen ORCID logoORCID: https://orcid.org/0000-0001-8176-3373, Faiz, Rehana, Al Obediat, Feras, Shah, Babar and Windridge, David ORCID logoORCID: https://orcid.org/0000-0001-5507-8516 (2022) Discriminator-based adversarial networks for knowledge graph completion. Neural Computing and Applications . ISSN 0941-0643 [Article] (Published online first) (doi:10.1007/s00521-022-07680-w)

Zia, Tehseen, Murtaza, Shakeeb ORCID logoORCID: https://orcid.org/0000-0002-8066-6907, Bhatti, Nauman Bashir ORCID logoORCID: https://orcid.org/0000-0003-0557-5244, Windridge, David ORCID logoORCID: https://orcid.org/0000-0001-5507-8516 and Nisar, Zeeshan ORCID logoORCID: https://orcid.org/0000-0001-6411-0207 (2022) VANT-GAN: adversarial learning for discrepancy-based visual attribution in medical imaging. Pattern Recognition Letters, 156 . pp. 112-118. ISSN 0167-8655 [Article] (doi:10.1016/j.patrec.2022.02.005)

Zia, Tehseen and Windridge, David ORCID logoORCID: https://orcid.org/0000-0001-5507-8516 (2021) A generative adversarial network for single and multi-hop distributional knowledge base completion. Neurocomputing, 461 . pp. 543-551. ISSN 0925-2312 [Article] (doi:10.1016/j.neucom.2021.04.128)

Naeem Abid, Mian Muhammad, Zia, Tehseen, Ghafoor, Mubeen and Windridge, David ORCID logoORCID: https://orcid.org/0000-0001-5507-8516 (2021) Multi-view convolutional recurrent neural networks for lung cancer nodule identification. Neurocomputing, 453 . pp. 299-311. ISSN 0925-2312 [Article] (doi:10.1016/j.neucom.2020.06.144)

Conference or Workshop Item

Zia, Tehseen, Zahid, Usman and Windridge, David ORCID logoORCID: https://orcid.org/0000-0001-5507-8516 (2019) A generative adversarial strategy for modeling relation paths in knowledge base representation learning. In: KR2ML - Knowledge Representation and Reasoning Meets Machine Learning Workshop, NeurIPS 2019, Thirty-third Conference on Neural Information Processing Systems, 09-14 Dec 2019, Vancouver, Canada. . [Conference or Workshop Item]

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