Mehmet M. Dalkilic

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 11

Top Topics

Expectation Maximization

Machine Learning Algorithms

Top Venues

Publications

Ganesh Arkanath, Nishad Gupta, Hasan Kurban, Parichit Sharma, K. R. Madhavan, Elham Khorasani Buxton, Mehmet M. Dalkilic
Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics. BigData (2023)
Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic
DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization. SoftwareX 17 (2022)
Marcin Malec, Hasan Kurban, Mehmet M. Dalkilic
ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data. BMC Bioinform. 23 (1) (2022)
Xiaomeng Ye, David Leake, William Huibregtse, Mehmet M. Dalkilic
Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases. ICCBR (2020)
Kurt Zimmer, Hasan Kurban, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic
Using Data Analytics to Optimize Public Transportation on a College Campus. DSAA (2018)
Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic
Using data to build a better EM: EM* for big data. Int. J. Data Sci. Anal. 4 (2) (2017)
Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic
Improving expectation maximization algorithm over stellar data. IEEE BigData (2017)
Hasan Kurban, Mehmet M. Dalkilic
A novel approach to optimization of iterative machine learning algorithms: Over heap structure. IEEE BigData (2017)
Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic
Case Study: Clustering Big Stellar Data with EM. BDCAT (2017)
Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic
EM*: An EM Algorithm for Big Data. DSAA (2016)
Kurt Zimmer, Yilun Zhang, Peng Lu, Yanyan Chen, Guanru Zhang, Mehmet M. Dalkilic, Chen Zhu
SUPCRTBL: A revised and extended thermodynamic dataset and software package of SUPCRT92. Comput. Geosci. 90 (2016)
Gregory J. Zynda, Niall Gaffney, Mehmet M. Dalkilic, Matthew W. Vaughn
Feature frequency profiles for automatic sample identification using PySpark. PyHPC@SC (2015)
Hussein Mohsen, Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic
A new set of Random Forests with varying dynamic data reduction and voting techniques. DSAA (2014)
Mark Jenne, Owen Boberg, Hasan Kurban, Mehmet M. Dalkilic
Studying the Milky Way Galaxy Using ParaHeap-k. Computer 47 (9) (2014)
James C. Costello, Daniel R. Schrider, Jeff Gehlhausen, Mehmet M. Dalkilic
Data-Driven Ontologies. Pacific Symposium on Biocomputing (2009)
Henry M. Kim, Arijit Sengupta, Mark S. Fox, Mehmet M. Dalkilic
A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web. J. Database Manag. 18 (1) (2007)
James C. Costello, Jade E. Buchanan-Carter, Mehmet M. Dalkilic, Justen Andrews
Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans. CIBCB (2007)
Mehmet M. Dalkilic, Wyatt T. Clark, James C. Costello, Predrag Radivojac
Using Compression to Identify Classes of Inauthentic Texts. SDM (2006)
Sukamol Srikwan, Markus Jakobsson, Andrew Albrecht, Mehmet M. Dalkilic
Trust Establishment in Data Sharing: An Incentive Model for Biodiversity Information Systems. CollaborateCom (2006)
Do-Hoon Lee, Jeong-Hyeon Choi, Mehmet M. Dalkilic, Sun Kim
COMPAM : visualization of combining pairwise alignments for multiple genomes. Bioinform. 22 (2) (2006)
Rupali Patwardhan, Haixu Tang, Sun Kim, Mehmet M. Dalkilic
An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences. VDMB (2006)
Christopher Mueller, Mehmet M. Dalkilic, Andrew Lumsdaine
High-Performance Direct Pairwise Comparison of Large Genomic Sequences. IEEE Trans. Parallel Distributed Syst. 17 (8) (2006)
Mehmet M. Dalkilic, Arijit Sengupta
Circle: design and implementation of a classifier based on circuit minimization. SAC (2005)
Mehmet M. Dalkilic
An Architecture and Application for Integrating Curation Data at the Residue Level for Proteins. DILS (2005)
Christopher Mueller, Mehmet M. Dalkilic, Andrew Lumsdaine
High-Performance Direct Pairwise Comparison of Large Genomic Sequences. IPDPS (2005)
Mehmet M. Dalkilic, Arijit Sengupta
Design and evaluation of CATPA: curation and alignment tool for protein analysis. SAC (2005)
Mehmet M. Dalkilic, Arijit Sengupta
A logic-theoretic classifier called Circle. ICARCV (2004)
Zhiping Wang, Mehmet M. Dalkilic, Sun Kim
Guiding motif discovery by iterative pattern refinement. SAC (2004)
Arijit Sengupta, Mehmet M. Dalkilic, James C. Costello
Semantic thumbnails: a novel method for summarizing document collections. SIGDOC (2004)
Irfan Gunduz, Sihui Zhao, Mehmet M. Dalkilic, Sun Kim
Motif Discovery from Large Number of Sequences: A Case Study with Disease Resistance Genes in Arabidopsos thaliana. METMBS (2003)
Arijit Sengupta, Mehmet M. Dalkilic
DSQL - An SQL for Structured Documents. CAiSE (2002)
Chris Giannella, Mehmet M. Dalkilic, Dennis P. Groth, Edward L. Robertson
Improving Query Evaluation with Approximate Functional Dependency Based Decompositions. BNCOD (2002)
Mehmet M. Dalkilic, Edward L. Robertson
Information Dependencies. PODS (2000)
Mehmet M. Dalkilic, Edward L. Robertson, Dirk Van Gucht
CE: the Classifier-Estimator Framework for Data Mining. DS-7 (1997)