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Mohammad Reza Mohammadnia-Qaraei
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2020 – today
- 2024
- [j5]Mohammadreza Qaraei
, Rohit Babbar
Meta-classifier free negative sampling for extreme multilabel classification. Mach. Learn. 113(2): 675-697 (2024) - [j4]Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi
Neural Generalization of Multiple Kernel Learning. Neural Process. Lett. 56(1): 12 (2024) - [i4]Kamaledin Ghiasi-Shirazi, Mohammadreza Qaraei:
An Exact Finite-dimensional Explicit Feature Map for Kernel Functions. CoRR abs/2410.12635 (2024) - 2022
- [j3]Mohammadreza Qaraei, Rohit Babbar
Adversarial examples for extreme multilabel text classification. Mach. Learn. 111(12): 4539-4563 (2022) - [c3]Iiro Rastas, Yann Ciarán Ryan, Iiro Tiihonen, Mohammadreza Qaraei, Liina Repo, Rohit Babbar
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model. LChange@ACL 2022: 68-77 - 2021
- [j2]Mohammad Reza Mohammadnia-Qaraei
Randomized non-linear PCA networks. Inf. Sci. 545: 241-253 (2021) - [c2]Mohammadreza Qaraei, Erik Schultheis
Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels. WWW 2021: 3711-3720 - [i3]Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei:
Neural Generalization of Multiple Kernel Learning. CoRR abs/2102.13337 (2021) - [i2]Mohammadreza Qaraei, Rohit Babbar:
Adversarial Examples for Extreme Multilabel Text Classification. CoRR abs/2112.07512 (2021) - 2020
- [c1]Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar:
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification. ESANN 2020: 223-228 - [i1]Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta, Rohit Babbar:
Unbiased Loss Functions for Extreme Classification With Missing Labels. CoRR abs/2007.00237 (2020)
2010 – 2019
- 2018
- [j1]Mohammad Reza Mohammadnia-Qaraei
Convolutional kernel networks based on a convex combination of cosine kernels. Pattern Recognit. Lett. 116: 127-134 (2018)
Coauthor Index
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last updated on 2024-11-25 22:48 CET by the dblp team
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