Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model

Authors: Cenitta, D., Arjunan, R.V., Paramasivam, G., Arul, N., Palkar, A., Chadaga, K.

Source: IEEE Access Access, IEEE. 13:4281-4289 2025

Classification of Social Anxiety Disorder Using Explainable Machine Learning and Pearson's Correlation Technique

Authors: Bathula, S., Chadaga, K., Prabhu, S., Sampathila, N.

Source: 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2024 IEEE International Conference on. :280-287 Oct, 2024

Relation: 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases

Authors: Kumar, R., Srirama, V., Chadaga, K., Muralikrishna, H., Sampathila, N., Prabhu, S., Chadaga, R.

Source: IEEE Access Access, IEEE. 12:189515-189534 2024

Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health

Authors: Bhandage, V., Prabhu, S., Hadimani, B.S., Chadaga, K., Sampathila, N., Shetty, S.

Source: IEEE Access Access, IEEE. 12:102027-102034 2024

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas

Authors: Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R., Umakanth, S.

Source: IEEE Access Access, IEEE. 12:75010-75033 2024

Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI

Authors: Palkar, A., Dias, C.C., Chadaga, K., Sampathila, N.

Source: IEEE Access Access, IEEE. 12:31697-31718 2024