About
Basavaraj N Hiremath received his Ph D in FULL time research programme at the Visveswaraya Technological University Belagavi,INDIA. State University, and masters Degree in M S in Computer Cognition Technology from the Department of studies in Computer science, University of Mysore in 2003, currently
His areas of research are Data mining,Natural language processing, Artificial Intelligence, Bioinformatics, computational genomics and Cognition technology.
He has over fifteen years experience of working in information technology industry as Business Intelligence Architect in Data warehouse, Business Intelligence and Analytics space in various business domains of Airlines, Retail, Banking, Logistics and FMCG. He has a research experience of 4 years worked as research scholar in the area of artificial intelligence, human communication and cognitive technology.
Contact Email: [email protected]
Employment
Employment history is unavailable.
Education
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J S S Academy of Technical Education Ph. D2016 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Distractor Analytics on Multiple-Choice Questions using Large Language Models Save
- A Bio-Engineered Adaptive Multi-Modal Deep Learning Framework for Real-Time Neural Prosthesis Control Save
- Data Mining for Advanced Anomaly Detection of Speech Using One Class SVM (DaMaDS) Save
- MAE- and DINOv2-Powered DETR++: A Hybrid, Transformer-Based Self-Supervised Framework for Accurate Object Detection Save
- Multilingual Automatic Quiz Generation from E-Learning pdf Documents Using NLP Pipelines Save
- RAGClin: A Privacy-Preserving Retrieval-Augmented Generation Framework for Clinical Question Save
- Turkish Raisin Classification Through Deep Learning Prediction Models Save
- Virtual Herbal Garden Using Virtual Reality Methodology Save
- Differential Gene Expression Analysis of Non-Small Cell Lung Cancer Samples to Classify Candidate Genes Save
- Gene Expression based classification for identifying the significant genes in Non-small Cell Lung Cancer samples Save