CE: the Classifier-Estimator Framework for Data Mining. - Mehmet M. Dalkilic; Edward L. Robertson; Dirk Van Gucht (DS-7, 1997)

Information Dependencies. - Mehmet M. Dalkilic; Edward L. Robertson (PODS, 2000)

Improving Query Evaluation with Approximate Functional Dependency Based Decompositions. - Chris Giannella; Mehmet M. Dalkilic; Dennis P. Groth; Edward L. Robertson (BNCOD, 2002)

DSQL - An SQL for Structured Documents. - Arijit Sengupta; Mehmet M. Dalkilic (CAiSE, 2002)

Motif Discovery from Large Number of Sequences: A Case Study with Disease Resistance Genes in Arabidopsos thaliana. - Irfan Gunduz; Sihui Zhao; Mehmet M. Dalkilic; Sun Kim (METMBS, 2003)

A logic-theoretic classifier called Circle. - Mehmet M. Dalkilic; Arijit Sengupta (ICARCV, 2004)

Guiding motif discovery by iterative pattern refinement. - Zhiping Wang; Mehmet M. Dalkilic; Sun Kim (SAC, 2004)

Semantic thumbnails: a novel method for summarizing document collections. - Arijit Sengupta; Mehmet M. Dalkilic; James C. Costello (SIGDOC, 2004)

An Architecture and Application for Integrating Curation Data at the Residue Level for Proteins. - Mehmet M. Dalkilic (DILS, 2005)

Design and evaluation of CATPA: curation and alignment tool for protein analysis. - Mehmet M. Dalkilic; Arijit Sengupta (SAC, 2005)

Circle: design and implementation of a classifier based on circuit minimization. - Mehmet M. Dalkilic; Arijit Sengupta (SAC, 2005)

Trust Establishment in Data Sharing: An Incentive Model for Biodiversity Information Systems. - Sukamol Srikwan; Markus Jakobsson; Andrew Albrecht; Mehmet M. Dalkilic (CollaborateCom, 2006)

Using Compression to Identify Classes of Inauthentic Texts. - Mehmet M. Dalkilic; Wyatt T. Clark; James C. Costello; Predrag Radivojac (SDM, 2006)

An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences. - Rupali Patwardhan; Haixu Tang; Sun Kim; Mehmet M. Dalkilic (VDMB, 2006)

COMPAM : visualization of combining pairwise alignments for multiple genomes. - Do-Hoon Lee; Jeong-Hyeon Choi; Mehmet M. Dalkilic; Sun Kim (Bioinform., 2006)

High-Performance Direct Pairwise Comparison of Large Genomic Sequences. - Christopher Mueller; Mehmet M. Dalkilic; Andrew Lumsdaine (IEEE Trans. Parallel Distributed Syst., 2006)

Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans. - James C. Costello; Jade E. Buchanan-Carter; Mehmet M. Dalkilic; Justen Andrews (CIBCB, 2007)

A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web. - Henry M. Kim; Arijit Sengupta; Mark S. Fox; Mehmet M. Dalkilic (J. Database Manag., 2007)

A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web. - Henry M. Kim; Arijit Sengupta; Mark S. Fox; Mehmet M. Dalkilic (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Data-Driven Ontologies. - James C. Costello; Daniel R. Schrider; Jeff Gehlhausen; Mehmet M. Dalkilic (Pacific Symposium on Biocomputing, 2009)

Biostatistics and Data Analysis. - Mehmet M. Dalkiliç (Encyclopedia of Database Systems, 2009)

Gene Expression Arrays. - Mehmet M. Dalkilic (Encyclopedia of Database Systems, 2009)

WIGM: Discovery of Subgraph Patterns in a Large Weighted Graph. - Jiong Yang; Wei Su; Shirong Li; Mehmet M. Dalkiliç (SDM, 2012)

A new set of Random Forests with varying dynamic data reduction and voting techniques. - Hussein Mohsen; Hasan Kurban; Mark Jenne; Mehmet M. Dalkilic (DSAA, 2014)

Studying the Milky Way Galaxy Using ParaHeap-k. - Mark Jenne; Owen Boberg; Hasan Kurban; Mehmet M. Dalkilic (Computer, 2014)

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 (BigData Congress, 2015)

Feature frequency profiles for automatic sample identification using PySpark. - Gregory J. Zynda; Niall Gaffney; Mehmet M. Dalkilic; Matthew W. Vaughn (PyHPC@SC, 2015)

EM*: An EM Algorithm for Big Data. - Hasan Kurban; Mark Jenne; Mehmet M. Dalkilic (DSAA, 2016)

SUPCRTBL: A revised and extended thermodynamic dataset and software package of SUPCRT92. - Kurt Zimmer; Yilun Zhang; Peng Lu 005; Yanyan Chen; Guanru Zhang; Mehmet M. Dalkilic; Chen Zhu (Comput. Geosci., 2016)

Case Study: Clustering Big Stellar Data with EM. - Hasan Kurban; Can Kockan; Mark Jenne; Mehmet M. Dalkilic (BDCAT, 2017)

A novel approach to optimization of iterative machine learning algorithms: Over heap structure. - Hasan Kurban; Mehmet M. Dalkilic (IEEE BigData, 2017)

Improving expectation maximization algorithm over stellar data. - Hasan Kurban; Can Kockan; Mark Jenne; Mehmet M. Dalkilic (IEEE BigData, 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)

Using Data Analytics to Optimize Public Transportation on a College Campus. - Kurt Zimmer; Hasan Kurban; Mark Jenne; Logan Keating; Perry Maull; Mehmet M. Dalkilic (DSAA, 2018)

Biostatistics and Data Analysis. - Mehmet M. Dalkiliç (Encyclopedia of Database Systems (2nd ed.), 2018)

Gene Expression Arrays. - Mehmet M. Dalkiliç (Encyclopedia of Database Systems (2nd ed.), 2018)

Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases. - Xiaomeng Ye; David Leake; William Huibregtse; Mehmet M. Dalkilic (ICCBR, 2020)

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)

DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization. - Parichit Sharma; Hasan Kurban; Mehmet M. Dalkilic (SoftwareX, 2022)

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 (IEEE Big Data, 2023)

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 (DSAA, 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 (DSAA, 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)

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet. - Mert Onur Cakiroglu; Hasan Kurban; Elham Buxton; Mehmet M. Dalkilic (IEEE Access, 2025)

Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting. - Mert Onur Cakiroglu; Idil Bilge Altun; Hasan Kurban; Elham Buxton; Mehmet M. Dalkilic (CoRR, 2025)

Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means. - Parichit Sharma; Marcin Stanislaw; Hasan Kurban; M. Oguzhan Külekci; Mehmet M. Dalkilic (CoRR, 2025)