activity
20202025
most citedA Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2025

Multiclass Queue Scheduling Under Slowdown: An Approximate Dynamic Programming Approach

Jing Dong, Berk Görgülü, Vahid Sarhangian

In many service systems, especially those in healthcare, customer waiting times can result in increased service requirements. Such service slowdowns can significantly impact system…

cs.GT2024★ 1 cited

Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking

Sean Berry, Berk Gorgulu, Sait Tunc +2

Kidney transplantation is the preferred treatment for end-stage renal disease, yet the scarcity of donors and inefficiencies in allocation systems create major bottlenecks, resulti…

cs.LG2024

Smooth Ranking SVM via Cutting-Plane Method

Erhan Can Ozcan, Berk Görgülü, Mustafa G. Baydogan +1

The most popular classification algorithms are designed to maximize classification accuracy during training. However, this strategy may fail in the presence of class imbalance sinc…

cs.LG2023★ 3 cited

A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting

Syed Kazmi, Berk Gorgulu, Mucahit Cevik +1

Wind power forecasting helps with the planning for the power systems by contributing to having a higher level of certainty in decision-making. Due to the randomness inherent to met…

cs.LG2020

Explainable boosted linear regression for time series forecasting

Igor Ilic, Berk Gorgulu, Mucahit Cevik +1

Time series forecasting involves collecting and analyzing past observations to develop a model to extrapolate such observations into the future. Forecasting of future events is imp…