Research output per year
Research output per year
Personal profile
Research interests
Computer Vision, Machine Learning, Data Analytics, Deep Learning
Professional Information
Assistant Professor, Department of CSE, Manipal Institute of Technology Bengaluru, MAHE
Experience
| 9 years |
Fingerprint
Dive into the research topics where Shilpa Ankalaki 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 Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions
Hukkeri, G. S., Goudar, R. H., Dhananjaya, G. M., Rathod, V. N. & Ankalaki, S., 2025, In: IEEE Access. 13, p. 46312-46333 22 p.Research output: Contribution to journal › Review article › peer-review
Open Access1 Citation (Scopus) -
Automating wastewater characteristic parameter quantitation using neural architecture search in AutoML systems on spectral reflectance data
Ankalaki, S., 12-2025, In: Scientific Reports. 15, 1, 37130.Research output: Contribution to journal › Article › peer-review
Open Access -
Cyber Attack Prediction: From Traditional Machine Learning to Generative Artificial Intelligence
Ankalaki, S., Atmakuri, A. R., Pallavi, M., Hukkeri, G. S., Jan, T. & Naik, G. R., 2025, In: IEEE Access. 13, p. 44662-44706 45 p.Research output: Contribution to journal › Review article › peer-review
Open Access10 Citations (Scopus) -
SpinachXAI-Rec: a multi-stage explainable AI framework for spinach freshness classification and consumer recommendation
Raju, A. S. N., Sujatha, G., Gatla, R. K. & Ankalaki, S., 12-2025, In: Scientific Reports. 15, 1, 35853.Research output: Contribution to journal › Article › peer-review
Open Access -
XAI-SkinCADx: A Six-Stage Explainable Deep Ensemble Framework for Skin Cancer Diagnosis and Risk-Based Clinical Recommendations
Narasimha Raju, A. S., Sujatha, G., Gatla, R. K., Ankalaki, S. & Hukkeri, G. S., 2025, (Accepted/In press) In: IEEE Access. 13, p. 176583-176621 39 p.Research output: Contribution to journal › Article › peer-review
Open Access