Hasan Kurban

According to our database, Hasan Kurban authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An extended de Bruijn graph for feature engineering over biological sequential data.

Mert Onur Cakiroglu, Hasan Kurban, Parichit Sharma, M. Oguzhan Külekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet M. Dalkilic

Mach. Learn. Sci. Technol., 2024

$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract).

Parichit Sharma, Sarthak Mishra, Hasan Kurban, Mehmet M. Dalkilic

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract).

Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet M. Dalkilic

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics.

Ganesh Arkanath, Nishad Gupta, Hasan Kurban, Parichit Sharma, K. R. Madhavan, Elham Khorasani Buxton, Mehmet M. Dalkilic

Proceedings of the IEEE International Conference on Big Data, 2023

2022

DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization.

Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic

SoftwareX, 2022

ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data.

Marcin Malec, Hasan Kurban, Mehmet M. Dalkilic

BMC Bioinform., 2022

2018

Using Data Analytics to Optimize Public Transportation on a College Campus.

Kurt Zimmer, Hasan Kurban, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Using data to build a better EM: EM* for big data.

Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic

Int. J. Data Sci. Anal., 2017

Improving expectation maximization algorithm over stellar data.

Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A novel approach to optimization of iterative machine learning algorithms: Over heap structure.

Hasan Kurban, Mehmet M. Dalkilic

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Case Study: Clustering Big Stellar Data with EM.

Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic

Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

2016

EM*: An EM Algorithm for Big Data.

Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction.

Hussein Mohsen, Hasan Kurban, Kurt Zimmer, Mark Jenne, Mehmet M. Dalkiliç

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

Studying the Milky Way Galaxy Using ParaHeap-k.

Mark Jenne, Owen Boberg, Hasan Kurban, Mehmet M. Dalkilic

Computer, 2014

A new set of Random Forests with varying dynamic data reduction and voting techniques.

Hussein Mohsen, Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014