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Anusuya Krishnan
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2020 – today
- 2024
- [j3]Nazar Zaki, Anusuya Krishnan, Sherzod Turaev, Zahiriddin Rustamov
, Jaloliddin Rustamov, Aisha Almusalami, Farah Ayyad, Tsion Regasa, Brice Boris Iriho:
Node embedding approach for accurate detection of fake reviews: a graph-based machine learning approach with explainable AI. Int. J. Data Sci. Anal. 18(3): 295-315 (2024) - [c2]Nazar Zaki, Anusuya Krishnan, Rafat Damseh, Wenjian Qin, Ayham Zaitouny, Isaias Ghebrehiwet:
Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images. CIBCB 2024: 1-5 - 2023
- [j2]Nazar Zaki
Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions. AI Open 4: 42-55 (2023) - [j1]Nazar Zaki
Automating the mapping of course learning outcomes to program learning outcomes using natural language processing for accurate educational program evaluation. Educ. Inf. Technol. 28(12): 16723-16742 (2023) - [c1]Nazar Zaki, Harsh Singh, Anusuya Krishnan, Aisha Alnaqbi, Shamma Alneyadi, Sara Alnaqbi, Sarah Alhindaassi, Muneeba Alam, Afaf Kamal Eldin:
Transfer Learning and Explainable Artificial Intelligence Enhance the Classification of Date Fruit Varieties. IIT 2023: 222-227 - [i4]Anusuya Baby Hari Krishnan
Unmasking Falsehoods in Reviews: An Exploration of NLP Techniques. CoRR abs/2307.10617 (2023) - [i3]Anusuya Krishnan
Exploring Machine Learning and Transformer-based Approaches for Deceptive Text Classification: A Comparative Analysis. CoRR abs/2308.05476 (2023) - [i2]Anusuya Krishnan
Optimizing Multi-Class Text Classification: A Diverse Stacking Ensemble Framework Utilizing Transformers. CoRR abs/2308.11519 (2023) - [i1]Anusuya Krishnan
Exploring the Power of Topic Modeling Techniques in Analyzing Customer Reviews: A Comparative Analysis. CoRR abs/2308.11520 (2023)
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