Anam Naz
Orcid: 0009-0005-0506-6759
According to our database1,
Anam Naz authored at least 12 papers
between 2017 and 2026.
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Bibliography
2026
Rephrasing detection in machine generated content using deep learning transformers and feature engineering with local agnostic interpretability.
Eng. Appl. Artif. Intell., 2026
A real-time large language model framework with attention and embedding representations for misinformation detection.
Eng. Appl. Artif. Intell., 2026
2025
Machine and deep learning for personality traits detection: a comprehensive survey and open research challenges.
Artif. Intell. Rev., August, 2025
Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait.
PeerJ Comput. Sci., 2025
Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach.
Frontiers Big Data, 2025
2024
Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia.
Inf., 2024
IEEE Access, 2024
2021
Designing multi-epitope vaccine against <i>Staphylococcus aureus</i> by employing subtractive proteomics, reverse vaccinology and immuno-informatics approaches.
Comput. Biol. Medicine, 2021
Pan-vaccinomics approach towards a universal vaccine candidate against WHO priority pathogens to address growing global antibiotic resistance.
Comput. Biol. Medicine, 2021
2019
PanRV: Pangenome-reverse vaccinology approach for identifications of potential vaccine candidates in microbial pangenome.
BMC Bioinform., December, 2019
2018
Formal Modeling of the Key Determinants of Hepatitis C Virus (HCV) Induced Adaptive Immune Response Network: An Integrative Approach to Map the Cellular and Cytokine-Mediated Host Immune Regulations.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
2017
VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology.
BMC Bioinform., 2017