Personal profile
Fingerprint
Dive into the research topics where Diana Olivia is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A Machine Learning and Explainable Artificial Intelligence Approach for Insurance Fraud Classification
Khan, Z., Olivia, D. & Shetty, S., 2025, In: Inteligencia Artificial. 28, 75, p. 140-169 30 p.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Citations (Scopus) -
Explainable Deep Learning for Kidney CT Scan Classification
Vasu, A., Srivastava, S. S., Olivia, D. & Divya, S., 2025, Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2025. Institute of Electrical and Electronics Engineers Inc., p. 141-146 6 p. (Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Integrating Machine Learning and XAI for Interpretable Diagnosis of Cancer, Pneumonia, and Diabetes
Salimath, R. & Olivia, D., 2025, Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2025. Institute of Electrical and Electronics Engineers Inc., p. 94-99 6 p. (Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Optimization model for mass casualty management system using qos-aware routing protocol and casualty triage prediction
Olivia, D., Attigeri, G. & Saxena, A., 2024, (Accepted/In press) In: International Journal of Information Technology (Singapore).Research output: Contribution to journal › Article › peer-review
Open Access5 Link opens in a new tab Citations (Scopus) -
Unveiling the epilepsy enigma: an agile and optimal machine learning approach for detecting inter-ictal state from electroencephalogram signals
Kaushik, S., Balachandra, M., Olivia, D. & Khan, Z., 12-2024, In: International Journal of Information Technology (Singapore). 16, 8, p. 5149-5172 24 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Link opens in a new tab Citations (Scopus)