Category: Conference Paper
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PlayoffsNet: Enhancing NBA Playoffs Prediction Through Engineered Features and Explainable Deep Learning
Ganesh Arkanath, Hasan Kurban, Mehmet Dalkilic – ACM KDD 2025 (under-review)
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What Data-Centric AI Can Do For kmeans–a Faster, Robust kmeans-d
Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic – Proceedings of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, Data Centric Machine Learning Research Workshop (DMLR), 2024 (Accepted)
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PlayoffsNet–Enhancing NBA Playoffs Prediction Through Engineered Features and Explainable Deep Learning
Ganesh Arkanath, Hasan Kurban, Mehmet M. Dalkilic – International Journal of Data Science and Analytics (under-review)
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Are Sports Awards About Sports? Using AI to Find the Answer
Anshumaan Shankar, Gowtham Veerabadran Rajasekaran, Jacob Hendricks, Jared Andrew Schlak, Parichit Sharma, Madhavan K R, Hasan Kurban, Mehmet M. Dalkilic – KDD Undergraduate Consortium (KDD-UC), Long Beach, CA, USA
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Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics
Ganesh Arkanath, Nishad Gupta, Hasan Kurban, Parichit Sharma, Madhavan K R, Elham Khorasani Buxton, Mehmet M Dalkilic – IEEE International Conference on Big Data, Data-Centric AI, Sorrento, Italy
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Are They What They Claim: A Comprehensive Study of Ordinary Linear Regression Among the Top Machine Learning Libraries in Python
Sam Johnson, Josh Elms, Madhavan K R, Keerthana Sugasi, Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic – In KDD Undergraduate Consortium (KDD-UC), Long Beach, CA, USA
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AReS: An AutoML Regression Service for Data Analytics and Novel Data-centric Visualizations
Josh Elms, Sam Johnson, Madhavan K R, Keerthana Sugasi, Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic – KDD
Kurban Intelligence Lab 