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ORCIDMehmet M. Dalkilic
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- affiliation: Indiana University, Bloomington, USA
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2020 – today
- 2024
[j9]Mert Onur Cakiroglu, Hasan Kurban, Parichit Sharma, M. Oguzhan Külekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet M. Dalkilic:
An extended de Bruijn graph for feature engineering over biological sequential data. Mach. Learn. Sci. Technol. 5(3): 35020 (2024)- [c30]Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet M. Dalkilic:
A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract). DSAA 2024: 1-3 - [c29]Parichit Sharma, Sarthak Mishra, Hasan Kurban, Mehmet M. Dalkilic:
$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract). DSAA 2024: 1-3 - 2023
- [c28]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. IEEE Big Data 2023: 4268-4275 - 2022
- [j8]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): 291 (2022) - [j7]Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic:
DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization. SoftwareX 17: 100944 (2022) - 2020
- [c27]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: 245-260
2010 – 2019
- 2018
- [c26]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: 460-469 - [r4]Mehmet M. Dalkiliç:
Biostatistics and Data Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Mehmet M. Dalkiliç:
Gene Expression Arrays. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j6]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): 83-97 (2017) - [c25]Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic:
Case Study: Clustering Big Stellar Data with EM. BDCAT 2017: 271-272 - [c24]Hasan Kurban, Mehmet M. Dalkilic:
A novel approach to optimization of iterative machine learning algorithms: Over heap structure. IEEE BigData 2017: 102-109 - [c23]Hasan Kurban, Can Kockan, Mark Jenne, Mehmet M. Dalkilic:
Improving expectation maximization algorithm over stellar data. IEEE BigData 2017: 2559-2568 - 2016
- [j5]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: 97-111 (2016) - [c22]Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic:
EM*: An EM Algorithm for Big Data. DSAA 2016: 312-320 - 2015
- [c21]Hussein Mohsen, Hasan Kurban, Kurt Zimmer, Mark Jenne, Mehmet M. Dalkiliç:
Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction. BigData Congress 2015: 118-125 - [c20]Gregory J. Zynda, Niall Gaffney, Mehmet M. Dalkilic, Matthew W. Vaughn:
Feature frequency profiles for automatic sample identification using PySpark. PyHPC@SC 2015: 5:1-5:5 - 2014
- [j4]Mark Jenne, Owen Boberg, Hasan Kurban, Mehmet M. Dalkilic:
Studying the Milky Way Galaxy Using ParaHeap-k. Computer 47(9): 26-33 (2014) - [c19]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: 399-405 - 2012
- [c18]Jiong Yang, Wei Su, Shirong Li, Mehmet M. Dalkiliç:
WIGM: Discovery of Subgraph Patterns in a Large Weighted Graph. SDM 2012: 1083-1094
2000 – 2009
- 2009
- [c17]James C. Costello, Daniel R. Schrider, Jeff Gehlhausen, Mehmet M. Dalkilic:
Data-Driven Ontologies. Pacific Symposium on Biocomputing 2009: 15-26 - [p1]Henry M. Kim, Arijit Sengupta, Mark S. Fox, Mehmet M. Dalkilic:
A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2384-2404 - [r2]Mehmet M. Dalkiliç:
Biostatistics and Data Analysis. Encyclopedia of Database Systems 2009: 236-238 - [r1]Mehmet M. Dalkilic:
Gene Expression Arrays. Encyclopedia of Database Systems 2009: 1218-1221 - 2007
- [j3]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): 20-42 (2007) - [c16]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: 469-475 - 2006
- [j2]Do-Hoon Lee, Jeong-Hyeon Choi, Mehmet M. Dalkilic, Sun Kim:
COMPAM : visualization of combining pairwise alignments for multiple genomes. Bioinform. 22(2): 242-244 (2006) - [j1]Christopher Mueller, Mehmet M. Dalkilic, Andrew Lumsdaine:
High-Performance Direct Pairwise Comparison of Large Genomic Sequences. IEEE Trans. Parallel Distributed Syst. 17(8): 764-772 (2006) - [c15]Sukamol Srikwan, Markus Jakobsson, Andrew Albrecht, Mehmet M. Dalkilic:
Trust Establishment in Data Sharing: An Incentive Model for Biodiversity Information Systems. CollaborateCom 2006 - [c14]Mehmet M. Dalkilic, Wyatt T. Clark, James C. Costello, Predrag Radivojac:
Using Compression to Identify Classes of Inauthentic Texts. SDM 2006: 604-608 - [c13]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: 158-169 - [e1]Mehmet M. Dalkilic, Sun Kim, Jiong Yang:
Data Mining and Bioinformatics, First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4316, Springer 2006, ISBN 3-540-68970-2 [contents] - 2005
- [c12]Mehmet M. Dalkilic:
An Architecture and Application for Integrating Curation Data at the Residue Level for Proteins. DILS 2005: 335-338 - [c11]Christopher Mueller, Mehmet M. Dalkilic, Andrew Lumsdaine:
High-Performance Direct Pairwise Comparison of Large Genomic Sequences. IPDPS 2005 - [c10]Mehmet M. Dalkilic, Arijit Sengupta:
Design and evaluation of CATPA: curation and alignment tool for protein analysis. SAC 2005: 190-194 - [c9]Mehmet M. Dalkilic, Arijit Sengupta:
Circle: design and implementation of a classifier based on circuit minimization. SAC 2005: 547-548 - 2004
- [c8]Mehmet M. Dalkilic, Arijit Sengupta:
A logic-theoretic classifier called Circle. ICARCV 2004: 1043-1048 - [c7]Zhiping Wang, Mehmet M. Dalkilic, Sun Kim:
Guiding motif discovery by iterative pattern refinement. SAC 2004: 162-166 - [c6]Arijit Sengupta, Mehmet M. Dalkilic, James C. Costello:
Semantic thumbnails: a novel method for summarizing document collections. SIGDOC 2004: 45-51 - 2003
- [c5]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: 29-34 - 2002
- [c4]Chris Giannella, Mehmet M. Dalkilic, Dennis P. Groth, Edward L. Robertson:
Improving Query Evaluation with Approximate Functional Dependency Based Decompositions. BNCOD 2002: 26-41 - [c3]Arijit Sengupta, Mehmet M. Dalkilic:
DSQL - An SQL for Structured Documents. CAiSE 2002: 757-760 - 2000
- [c2]Mehmet M. Dalkilic, Edward L. Robertson:
Information Dependencies. PODS 2000: 245-253
1990 – 1999
- 1997
- [c1]Mehmet M. Dalkilic, Edward L. Robertson, Dirk Van Gucht:
CE: the Classifier-Estimator Framework for Data Mining. DS-7 1997: 89-104
Coauthor Index
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