Publications

Selmani, H, and Mai Oudah. "Using Machine Learning for Depression Detection Based on Gut Microbiome." In: Cuadrado, S., Rocha, M., Fdez-Riverola, F., Mohamad, M.S., Alonso, Á.C., Gil-González, A.B. (eds) Practical Applications of Computational Biology and Bioinformatics, 18th International Conference (PACBB 2024). PACBB 2024. Lecture Notes in Networks and Systems, vol 1350. Springer, Cham. 2025.

Zhusubalieva, Aigerim, and Mai Oudah. "Beyond the Gut Feeling: Machine-Learning Methods for Autism Screening." In 2024 IEEE 24th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 1-8. IEEE, 2024.

Mohta, Bhavicka, and Mai Oudah. "Early Screening for Multiple Sclerosis Using Gut Microbiome and Machine Learning." In 2024 IEEE 24th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 1-6. IEEE, 2024.

Daga, Priyamvada, and Mai Oudah. "Machine learning and gut microbiome for breast cancer screening." In 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp. 1-7. IEEE, 2024.

Velasquez, Pedro, and Mai Oudah. "Machine Learning Based Screening Tool for Alzheimer’s Disease via Gut Microbiome." In International Conference on Practical Applications of Computational Biology & Bioinformatics, pp. 62-72. Cham: Springer Nature Switzerland, 2023.
https://doi.org/10.1007/978-3-031-38079-2_7

Yong, Hyerim, and Mai Oudah. "Identifying Heat-Resilient Corals Using Machine Learning and Microbiome." In International Conference on Practical Applications of Computational Biology & Bioinformatics, pp. 53-61. Cham: Springer Nature Switzerland, 2023.
https://doi.org/10.1007/978-3-031-38079-2_6

Hodzic, Aisha, Mai Oudah. “Microbiome Classification for Heart Disease Detection.” 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), Taichung, Taiwan, (2022) pp. 237-242.

Joishy, Tulsi Kumari, Aashish Jha, Mai Oudah, Santanu Das, Atanu Adak, Dibyayan Deb, and Mojibur Rohman Khan. "Human Gut Microbes Associated with Systolic Blood Pressure." International Journal of Hypertension 2022 (2022).
https://doi.org/10.1155/2022/2923941

Jensen, Jeffrey L., Daniel Karell, Cole Tanigawa-Lau, Nizar Habash, Mai Oudah, and Dhia Fairus Shofia Fani. "Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity." Sociological Methodology (2021): 00811750211053370.
https://doi.org/10.1177/00811750211053370

Ossama Obeid, Nasser Zalmout, Salam Khalifa, Dima Taji, Mai Oudah, Bashar Alhafni, Go Inoue, Fadhl Eryani, Alexander Erdmann, Nizar Habash. (2020). CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing. Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). Marseille, France.

Mai Oudah, Amjad Almahairi, Nizar Habash. (2019). “The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation.” Proceedings of MT Summit XVII, vol 1. Pages 214-221. https://arxiv.org/abs/1906.11751

Alexander Erdmann, Salam Khalifa, Mai Oudah, Nizar Habash, and Houda Bouamor. (2019). “A Little Linguistics Goes a Long Way: Simple, Effective Unsupervised Segmentation.” Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 113-124.  https://www.aclweb.org/anthology/W19-4214

Mai Oudah and Andreas Henschel. (2018). "Taxonomy-aware Feature Engineering for Microbiome Classification." BMC Bioinformatics. Vol. 19, No. 1, pages 227-13. Doi: 10.1186/s12859-018-2205-3.

Mai Oudah and Khaled Shaalan. (2017). "Studying the impact of language independent and language-specific features on hybrid Arabic Person name recognition." Language Resources & Evaluation. Vol. 51, Issue 2, pages 351–378. Doi: 10.1007/s10579-016-9376-1.

Mai Oudah and Khaled Shaalan. (2016). "NERA 2.0: Improving coverage and performance of rule-based named entity recognition for Arabic." Natural Language Engineering. Pages 1-32. Doi: 10.1017/S1351324916000097.

Sumaya Al-Hosani, Mai M. Oudah, Andreas Henschel and Lina F. Yousef. (2015). "Global transcriptome analysis of salt acclimated Prochlorococcus AS9601." Microbiological Research. Vol. 176, pages 21–28. 

Khaled Shaalan and Mai Oudah. (2014). "A Hybrid Approach to Arabic Named Entity Recognition." Journal of Information Science (JIS). SAGE Publications Ltd, UK. Vol. 40 no. 1, pages 67-87.

Muhammad Zohaib Anwar, Mai Oudah and Andreas Henschel. (2016). "Global Meta-analysis Of Human and Earth Microbiome Diversity." Genomics and Systems Biology V. Abu Dhabi, UAE.

Saad A. Sharief, Mai M. Oudah, Andreas Henschel and Ahmed F. Yousef. (2015). "Transcriptome analysis of Debaryomyces hansenii cells acclimated to non-salt and high salt environments." BioMicroWorld: VI International Conference on Environmental, Industrial and Applied Microbiology. Barcelona, Spain.

Mai Oudah, Muhammad Zohaib Anwar and Andreas Henschel. (2015). "Identification of Discriminatory Taxa for Anthropogenic Environments through Taxonomy-Aware Feature Engineering." Microbes in the City: Mapping the Urban Genome Conference. New York, USA.

Mai Oudah and Khaled Shaalan. (2013). "Person Name Recognition Using the Hybrid Approach." Lecture Notes in Computer Science, Natural Language Processing and Information Systems. Springer Berlin Heidelberg, vol. 7934, pages 237–248.

Mai Mohamed Oudah and Khaled Shaalan. (2012). "A Pipeline Arabic Named Entity Recognition Using a Hybrid Approach." In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), pages 2159–2176.