Publications | Hasan Kurban, Ph.D.

Can Polat, Hasan Kurban, Mustafa Kurban (2024). Text-To-Energy--Accelerating Quantum Chemistry Calculations through Enhanced Text-to-Vector Encoding and Orbital-Aware Multilayer Perceptron. Journal of Chemical Theory and Computation (under-review).

Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet Dalkilic (2024). Novel De Bruijn Graph Embeddings for Enhanced Time Series Forecasting. Machine Learning (under-review).

Mert Onur Cakiroglu, Hasan Kurban, Khalid Qaraqe, Lilia Aljihmani, Goran Petrovski, Mehmet Dalkilic (2024). A Reinforcement Learning Approach to Effective Forecasting of Pediatric Hypoglycemia in Diabetes I Patients: an extended de Bruijn Graph. Artificial Intelligence in Medicine (under-review).

Madhavan Kalkunte Ramachandra, Hasan Kurban, M. Oguzhan Kulekci, Mehmet Dalkilic (2024). ti-knn: Telescope Indexing for k-Nearest Neighbor Search Algorithms over High Dimensional Data & Large Data Sets. Data Mining and Knowledge Discovery (under-review).

Mert Onur Cakiroglu, Hasan Kurban, Parichit Sharma, M. Oguzhan Kulekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet Dalkilic (2024). An Extended de Bruijn Graph for Feature Engineering Over Unstructured Data. Machine Learning: Science and Technology (under-review).

Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic (2024). Refining k-means Clustering Through Data-Centric AI: A Leap Towards Enhanced Performance. In Basarim 8th High-Performance Computing Conference, Ankara, Turkey, 2024 (under-review).

Fahrettin Ay, Saud Althunibat, Khalid Qaraqe, Hasan Kurban (2024). A Noise-Adaptive Sequential Extreme Gradient Boosting Algorithm for Optimality Prediction of User Grouping in IM-OFDMA Systems. IEEE Transactions on Communications (under-review).

Mustafa Kurban, Can Polat, Erchin Serpedin, Hasan Kurban (2024). Leveraging DFTB and Computer Vision for Enhanced Electronic Structure Prediction of C-Doped TiO2 Nanoparticles--A Novel Machine Learning Approach. Computational Materials Science (under-review).

Parichit Sharma, Hasan Kurban, Marcin Malec, Oguzhan Kulekci, Mehmet Dalkilic (2024). Geometric-k-means--An Unbounded, Accurate and Energy-Efficient k-means. Machine Learning (under-review).

Can Polat, Hasan Kurban, Mustafa Kurban (2024). Ground-State Eigenvalue Prediction of Materials Using Electronic Shell Structures and Fermionic Properties via Convolutions. The Journal of Physical Chemistry C (under-review).

Ganesh Arkanath, Nishad Gupta, Hasan Kurban, Parichit Sharma, Madhavan K R, Elham Khorasani Buxton, Mehmet M Dalkilic (2023). Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics. In IEEE International Conference on Big Data, Data-Centric AI, Sorrento, Italy.

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Anshumaan Shankar, Gowtham Veerabadran Rajasekaran, Jacob Hendricks, Jared Andrew Schlak, Parichit Sharma, Madhavan K R, Hasan Kurban, Mehmet M. Dalkilic (2023). Are Sports Awards About Sports? Using AI to Find the Answer. In ECML/PKDD, 10th Workshop on Machine Learning and Data Mining for Sports Analytics, Turin, Italy.

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Josh Elms, Sam Johnson, Madhavan K R, Keerthana Sugasi, Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic (2023). AReS: An AutoML Regression Service for Data Analytics and Novel Data-centric Visualizations. In KDD Undergraduate Consortium (KDD-UC), Long Beach, CA, USA.

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Sam Johnson, Josh Elms, Madhavan K R, Keerthana Sugasi, Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic (2023). Are They What They Claim: A Comprehensive Study of Ordinary Linear Regression Among the Top Machine Learning Libraries in Python. In KDD Undergraduate Consortium (KDD-UC), Long Beach, CA, USA (accepted).

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Selcuk Temiz, Salim Erol, Hasan Kurban, Mehmet M. Dalkilic (2023). State of Charge and Temperature-Dependent Impedance Spectra Regeneration of Lithium-ion Battery by Duplex Learning Modeling. Journal of Energy Storage.

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Selcuk Temiz, Hasan Kurban, Salim Erol, Mehmet M. Dalkilic (2022). Data on Machine Learning regenerated Lithium-ion battery impedance. Data in Brief.

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Hasan Kurban, Mustafa Kurban, Mehmet M. Dalkilic (2022). Rapidly Predicting Kohn-Sham Total Energy Using Data-centric AI. Nature Scientific Reports.

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Selcuk Temiz, Hasan Kurban, Salim Erol, Mehmet M. Dalkilic (2022). Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data. Journal of Energy Storage.

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Marcin Malec, Hasan Kurban, Mehmet M. Dalkilic (2022). ccImpute--an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data. BMC Bioinformatics.

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