Sameena Naaz

Accepting PhD Students

Research activity per year

10 Article
6 Conference contribution
1 Review article
1 Preprint

6 results

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2024

Anticipating the Nearness of Coronary Heart Infection Utilizing Machine Learning Classifiers
Akoosh, L. M. S., Siddiqui, F., Zafar, S., Naaz, S. & Alam, M. A., 24 Jul 2024, International Conference on Machine Learning and Data Engineering (ICMLDE 2023].
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Comprehensive Review and Meta-Analysis of Machine Learning Applications in Screening for Diabetic Retinopathy Analysis
Siddiqui, A. T., Kaur, H., Naaz, S. & Tanveer, S., 2 Apr 2024, IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS). p. 1-5 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Deep Learning Approach for Accurate Prediction of diabetes
Adlakha, M., Naaz, S., Zafar, S. & Alam, M. A., 13 May 2024, Proceedings of the 5th International Conference on Information Management & Machine Intelligence. ACM Digital Library
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Ensemble Classification with Lazy Predict on Three Diabetes Datasets: A Comparative Study with Resampling Techniques
Hashmi, A., Nafis, M. T., Naaz, S. & Hussain, I., 21 Jul 2024, Third International Conference on Computing and Communication Networks. ICCCN 2023. Springer Nature
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2023

Comparative Analysis of Resampling Techniques and Machine Learning Classifiers in Multiclass Classification of Diabetes Mellitus
Hashmi, A., Nafis, M. T., Naaz, S. & Hussain, I., 6 Dec 2023, International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS 2023). IEEE Computer Society
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Machine Learning Approach to the Internet of Things Threat Detection
Upadhyay, A., Naaz, S., Thakur, V. & Ansari, I. R., 3 Nov 2023, International Conference on Data Science and Network Engineering. p. 407–418 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Sameena Naaz

Research output

Search results

Anticipating the Nearness of Coronary Heart Infection Utilizing Machine Learning Classifiers

Comprehensive Review and Meta-Analysis of Machine Learning Applications in Screening for Diabetic Retinopathy Analysis

Deep Learning Approach for Accurate Prediction of diabetes

Ensemble Classification with Lazy Predict on Three Diabetes Datasets: A Comparative Study with Resampling Techniques

Comparative Analysis of Resampling Techniques and Machine Learning Classifiers in Multiclass Classification of Diabetes Mellitus

Machine Learning Approach to the Internet of Things Threat Detection