Hi there, I'm Durgesh Samariya ๐
I am a third year Machine Learning Ph.D. candidate at Federation University, Australia. Apart from that I am seasonal ML developer that loves writing articles (on Machine Learning, Data Science, Productivity and PhD Tips) and contributing to open source.
My Reseach Interest:
- Outlying Aspect Mining
- Classification
- Clustering
- Anomaly Detection
- Similarity Measure
I am open to:
- any collobration work,
- machine learning projects(development or research),
- research internships and
- available to become reviewer or PC member for Machine Learning/Data mining journals or conferences.
Recent Update:
- August 2022: Our paper Anomaly Detection in Healthcare has been accepted for publication at the 11th International Conference on Health Information Science 2022 (HIS 2022).
- July 2022: Our paper sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect has been accepted for publication at the 23rd International Conference on Web Information Systems Engineering 2022 (WISE 2022).
- April 2022: Our paper A New Dimensionality-Unbiased Score for Efficient and Effective Outlying Aspect Mining accepted for the publication by the Data Science and Engineering Journal (Springer).[Paper]
Service to research comunity:
- PC Member, at The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML/PKDD 2020), Ghent [2020].