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Noor Ahmed

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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Journal Articles

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2024
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Syed Azeem Inam, Abdullah Ayub Khan, Tehseen Mazhar, Noor Ahmed, Tariq Shahzad, Muhammad Amir Khan, Mamoon M. Saeed, Habib Hamam:
PR-FCNN: a data-driven hybrid approach for predicting PM2.5 concentration. Discov. Artif. Intell. 4(1): 75 (2024)

Conference and Workshop Papers

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2024
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Noor Ahmed, Anna Kukleva, Bernt Schiele:
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning. CVPR 2024: 28762-28771
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Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. ECCV (77) 2024: 357-374
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Zhuosheng Zhang, Noor Ahmed, Shucheng Yu:
QE-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization. ICNC 2024: 783-788
2023
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Noor Ahmed:
TinyZMQ++: A Privacy Preserving Content-based Publish/Subscribe IoT Middleware. CIoT 2023: 40-46
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Noor Ahmed:
On The Practicality of Blockchain-based Security and Privacy for Next Generation SDN. WINCOM 2023: 1-6

Informal and Other Publications

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2024
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Noor Ahmed, Anna Kukleva, Bernt Schiele:
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning. CoRR abs/2403.18550 (2024)
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Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR abs/2407.09271 (2024)

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