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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15 Article
6 Conference contribution
2 Conference article

A Statistical Comparison of ARIMA and GARCH Models in Financial Forecasting
Naik, N. & Ramu, S., 2026, In: International Journal of Mathematics and Computer Science. 21, 1, p. 59-62 4 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Feature Selection of Technical Indicators Using Mutual Information and HSIC for Financial Time Series Analysis
Rakshitha, K., Naik, N. & Shetty, S., 01-2026, In: International Journal of Mathematics and Computer Science. 21, 1, p. 103-107 5 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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
1 Link opens in a new tab Citation (Scopus)
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)

Nagaraj Naik

Personal profile

Research interests

Experience

Fingerprint

Collaborations and top research areas from the last five years

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A Statistical Comparison of ARIMA and GARCH Models in Financial Forecasting

Feature Selection of Technical Indicators Using Mutual Information and HSIC for Financial Time Series Analysis

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

Nagaraj Naik

Personal profile

Research interests

Experience

Fingerprint

Collaborations and top research areas from the last five years

Research output

A Statistical Comparison of ARIMA and GARCH Models in Financial Forecasting

Feature Selection of Technical Indicators Using Mutual Information and HSIC for Financial Time Series Analysis

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