| Effect of Mg content on electronic structure, optical and structural properties of amorphous ZnO nanoparticles: A DFTB study H Kurban, S Alaei, M Kurban Journal of Non-Crystalline Solids 560, 120726, 2021 | 35 | 2021 |
| Tailoring the structural properties and electronic structure of anatase, brookite and rutile phase TiO2 nanoparticles: DFTB calculations H Kurban, M Dalkilic, S Temiz, M Kurban Computational Materials Science 183, 109843(1-9), 2020 | 28 | 2020 |
| A DFT study on stability and electronic structure of AlN nanotubes İ Muz, H Kurban, M Kurban Materials Today Communications 26, 102118, 2021 | 24 | 2021 |
| Using data to build a better EM: EM* for big data H Kurban, M Jenne, MM Dalkilic International Journal of Data Science and Analytics 4, 83-97, 2017 | 19 | 2017 |
| Density-functional tight-binding approach for the structural analysis and electronic structure of copper hydride metallic nanoparticles H Kurban, M Kurban, M Dalkilic Materialstoday Communications, 2019 | 15 | 2019 |
| Studying the milky way galaxy using paraheap-k M Jenne, O Boberg, H Kurban, M Dalkilic Computer 47 (9), 26-33, 2014 | 15 | 2014 |
| Building Machine Learning systems for multi-atoms structures: CH3NH3PbI3 perovskite nanoparticles H Kurban, M Kurban Computational Materials Science 195, 110490, 2021 | 14 | 2021 |
| Atom Classification with Machine Learning and Correlations among Physical Properties of ZnO Nanoparticle H Kurban Chemical Physics 545, 111143, 2021 | 12 | 2021 |
| Regeneration of Lithium-ion battery impedance using a novel machine learning framework and minimal empirical data S Temiz, H Kurban, S Erol, MM Dalkilic Journal of Energy Storage 52, 105022, 2022 | 10 | 2022 |
| Using data analytics to optimize public transportation on a college campus K Zimmer, H Kurban, M Jenne, L Keating, P Maull, M Dalkilic 2018 IEEE 5th international conference on data science and advanced …, 2018 | 10 | 2018 |
| Em*: An em algorithm for big data H Kurban, M Jenne, MM Dalkilic 2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016 | 9 | 2016 |
| Rapidly predicting Kohn–Sham total energy using data-centric AI H Kurban, M Kurban, M Dalkilic Scientific Reports 12, 14403-14417, 2022 | 8 | 2022 |
| Rare-class Learning over Mg-Doped ZnO Nanoparticles H Kurban, M Kurban Chemical Physics 546, 111159, 2021 | 8 | 2021 |
| A Novel Approach to Optimization of Iterative Machine Learning Algorithms: Over Heap Structure H Kurban, MM Dalkilic IEEE International Conference on Big Data (Big Data), 102-109, 2017 | 8 | 2017 |
| A Novel Approach to Optimization of Iterative Machine Learning Algorithms: Over Heap Structure H Kurban Indiana University, 2017 | 8 | 2017 |
| Red-rf: Reduced random forest for big data using priority voting & dynamic data reduction H Mohsen, H Kurban, K Zimmer, M Jenne, MM Dalkilic 2015 IEEE International Congress on Big Data, 118-125, 2015 | 8 | 2015 |
| ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data M Marcin, H Kurban, M Dalkilic BMC Bioinformatics 23 (1), 2022 | 7 | 2022 |
| State of Charge and Temperature-Dependent Impedance Spectra Regeneration of Lithium-ion Battery by Duplex Learning Modeling S Temiz, S Erol, H Kurban, MM Dalkilic Journal of Energy Storage 64, 107085, 2023 | 5 | 2023 |
| DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization P Sharma, H Kurban, M Dalkilic SoftwareX 17 (2352-7110), 100944, 2022 | 4 | 2022 |
| Data Expressiveness and Its Use in Data-centric AI H Kurban, P Sharma, MM Dalkilic NeurIPS, 2021 | 4 | 2021 |
Mehmet DalkilicAssociate Professor of Computer Science, Indiana University, Bloomington, IN在 indiana.edu 的电子邮件经过验证
