Conference Papers

Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, and Zhongming Zhao, “Deep Transfer Learning for Kidney Disease Detection Using CT Scan Images”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024, Lisbon Portugal, pp. 5624-5629, [Indexed in Scopus], (DOI: <Link>).

Shahid Mohammad Ganie, and Pijush Kanti Dutta Pramanik, “Comparative Analysis of Transfer Learning Models for Breast Cancer Detection”, 3rd IEEE World Conference on Applied Intelligence and Computing (AIC  2024), Gwalior, India, pp 830-836, [Indexed in Scopus], (DOI: <Link>).

Mulagada Surya Sharmila, K Shiridi Kumar, Shahid Mohammad Ganie* and Hemachandran K, “Performance Evaluation of Different Machine Learning Algorithms for Lung Cancer Prediction using Demographic Data”, 3rd International Conference on Artificial Intelligence and Knowledge Processing (AKIP-23), CCIS Series, Springer, Hyderabad, India, pp 61–74, [Indexed in Scopus], (DOI: <Link>).

Shahid Mohammad Ganie, Hemachandran K, and Manjeet Rege, “Transfer Learning for Potato Leaf Disease Detection”, 18th International Conference on Research Challenges in Information Science - RCIS 2024, Springer, Guimarães, Portugal, pp 3–11, [Indexed in Scopus], (DOI: <Link>).

Majid Bashir Malik, Mohd Ali, Sadiya Bashir, and Shahid Mohammad Ganie*. “Performance Evaluation and Comparative Analysis of Machine Learning Techniques to Predict the Chronic Kidney Disease”, International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), Lecture Notes in Networks and Systems. Springer, Bengaluru, India, pp 473–486, [Indexed in Scopus], (DOI: <Link>).

Shahid Mohammad Ganie, and Pijush Kanti Dutta Pramanik, “Predicting Chronic Liver Disease Using Boosting Technique”, 1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries, IEEE Explore, Raipur, India, 2023, pp. 1-6, [Indexed in Scopus], (DOI: <Link>).

Shahid Mohammad Ganie, Majid Bashir Malik, Tasleem Arif. “Machine Learning Techniques for Diagnosis of Type   2 Diabetes Mellitus using Lifestyle Data”, 4th International Conference on Innovative Computing and Communication (ICICC2021), AISC Series, Springer, New Delhi, India, pp 487–497, [Indexed in Scopus], (DOI: <Link>).