We study sequential decision-making with offline reinforcement learning (RL). Traditional offline RL policies may result in out-of-distribution (OOD) actions when training relies only on sparse offline representations. To ensure safe offlin…
Smart Weaning of Mechanical Circulatory Support Devices with Offline Reinforcement Learning — Rose Lab, University of California, San Diego. We study the sequential decision-making problem for automated weaning of mechanical circulatory sup…
To appear in Machine Learning for Health Symposium, 2025 We study the sequential decision-making problem for automated weaning of mechanical circulatory support (MCS) devices in cardiogenic shock patients. MCS devices are percutaneous micro…
To appear in NeurIPS Learning from Time Series for Health workshop, 2025 In this paper, we study the sequential decision-making for smart weaning of mechanical circulatory (MCS) devices. MCS devices are percutaneous micro-axial flow pumps f…
To appear in Digital Signal Processing, 2025 This paper is about a novel ensemble approach for feature selection based on hierarchical stacking in cases of non-stationarity and a limited number of samples with a large number of features. Ou…
Machine Learning Based Spatio-Temporal Prediction System for Traffic Accidents — Department of Electrical and Electronics Engineering, Bilkent University. This project focuses on predicting traffic accidents using machine learning and deep
Wind Energy Production Prediction — Department of Electrical and Electronics Engineering, Bilkent University. A forecasting system for total electric consumption plays a prominent role in the electric generation market. Moreover, creating a…
I have been playing guitar since 2012, and it has been one of my favorite creative outlets. Over the years, I’ve had the chance to perform as part of a guitar duo within an orchestra (harder than it sounds!). Each performance was a memorabl…
Ph.D. student advised by Prof. Rose Yu in Computer Science and Engineering at UC San Diego A Basic Level Category Analysis with Commonsense Question Answering — Department of Electrical and Electronics Engineering, Bilkent University. Wind
The market share of a food company is forecasted for 2020-2022 based on the previous 6 years of data with ARIMA, and linear regression. The importance of other companies’ market share for predicting this company’s market share is investigat…
Seasonal demand planning is essential for retailers as it provides a strategic approach to meeting demand throughout the season, considering factors like promotions, changing customer preferences, and new product introductions. Despite its
, METU Department of Statistics, Ankara, TURKEY The market share of a food company is forecasted for 2020-2022 based on the previous 6 years of data with ARIMA, and linear regression. The importance of other companies’ market share for pred…