Nagaraj Naik

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Dept. of Computer Science and Engineering, Manipal Institute of Technology, Manipal University, Manipal, Karnataka State. Pin 576104
India

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Research activity per year

Research interests

Machine Learning

Experience

15 years

Awards and recognition:

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13 Article
6 Conference contribution
2 Conference article

A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems
Nahta, R., Naik, N., Srivinay & Chandrasekhara, S. P. R., 2025, In: CMES - Computer Modeling in Engineering and Sciences. 144, 1, p. 461-487 27 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Link opens in a new tab Citation (Scopus)
Boruta Feature Selection and Deep Learning for Alzheimer’s Disease Classification
Ramu, S., Naik, N. & Bagalkot, S. S., 01-05-2025, In: International Journal of Statistics in Medical Research. 14, p. 145-152 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Buffalo Disease Diagnosis Using Machine Learning: A Symptom-Based Text Classification Approach
Naik, N., Jagadisha, N. & Ramu, S., 24-01-2025, In: Journal of Buffalo Science. 14, p. 65-73 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Link opens in a new tab Citation (Scopus)
Buffalo Identification in Mixed-Species Environments: A Comparative Deep Learning Approach Using ResNet50 and EfficientNetB3
Naik, N. & Ramu, S., 24-01-2025, In: Journal of Buffalo Science. 14, p. 74-81 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Chronic kidney Disease Classification through Hybrid Feature Selection and Ensemble Deep Learning
Yogesh, N., Shrinivasacharya, P., Naik, N. & Vikranth, B. M., 01-05-2025, In: International Journal of Statistics in Medical Research. 14, p. 109-117 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access

Nagaraj Naik

Personal profile

Research interests

Experience

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Collaborations and top research areas from the last five years

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A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems

Boruta Feature Selection and Deep Learning for Alzheimer’s Disease Classification

Buffalo Disease Diagnosis Using Machine Learning: A Symptom-Based Text Classification Approach

Buffalo Identification in Mixed-Species Environments: A Comparative Deep Learning Approach Using ResNet50 and EfficientNetB3

Chronic kidney Disease Classification through Hybrid Feature Selection and Ensemble Deep Learning

Nagaraj Naik

Personal profile

Research interests

Experience

Fingerprint

Collaborations and top research areas from the last five years

Research output

A Deep Collaborative Neural Generative Embedding for Rating Prediction in Movie Recommendation Systems

Boruta Feature Selection and Deep Learning for Alzheimer’s Disease Classification

Buffalo Disease Diagnosis Using Machine Learning: A Symptom-Based Text Classification Approach

Buffalo Identification in Mixed-Species Environments: A Comparative Deep Learning Approach Using ResNet50 and EfficientNetB3

Chronic kidney Disease Classification through Hybrid Feature Selection and Ensemble Deep Learning