Şeyda Ertekin Bolelli

E-mail
sertekin@metu.edu.tr
Department
Department of Computer Engineering
Scopus Author ID
Web of Science Researcher ID
Enhancing time series prediction accuracy with recursive EMD
Açıkgöz, Gökberk; Zengin, Kerem; Büyükşahin, Ümit Çavuş; Bolelli, Alya Su; Ertekin Bolelli, Şeyda (2026-05-01)
Time series prediction is critical in various domains, yet challenges such as non-stationarity, high volatility, and abrupt fluctuations often degrade model performance. Advanced architectures that excel in capturing compl...
Hubs, Authorities and Moral Framing in Media
Sert, Egemen; Ertekin Bolelli, Şeyda (2026-01-01)
News media don’t just report facts—they construct moral worlds. These moral framings shape public perception, reinforce echo chambers, and drive polarization. In this study, we provide the first large-scale mapping of mora...
WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning
Sonmezer, Mert; Vasylechko, Serge; Atasoy, Duygu; Ertekin Bolelli, Şeyda; Kurugol, Sila (2026-01-01)
Retrieving wrist radiographs with analogous fracture patterns is challenging because clinically important cues are subtle, highly localized and often obscured by overlapping anatomy or variable imaging views. Progress is f...
TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection
Atrash, Abdulkarim; Ertekin Bolelli, Şeyda; Uğur, Ömür; Moured, Omar; Chen, Yufan; Zhang, Jiaming (2025-10-23)
CALPAGAN: Calorimetry for Particles Using Generative Adversarial Networks
Simsek, Ebru; IŞILDAK, Bora; Dogru, Anil; Aydogan, Reyhan; Bayrak, Burak; Ertekin Bolelli, Şeyda (2024-08-01)
In this study, a novel approach is demonstrated for converting calorimeter images from fast simulations to those akin to comprehensive full simulations, utilizing conditional Generative Adversarial Networks (GANs). The con...
Enhanced Thermal Human Detection with Fast Filtering for UAV Images
Ozyurt, Umut; Cicekdag, Begum; budak, zafer dogan; Ertekin Bolelli, Şeyda (2024-01-19)
Hierarchical reinforcement Thompson composition
Tanık, Güven Orkun; Ertekin Bolelli, Şeyda (2024-01-01)
Modern real-world control problems call for continuous control domains and robust, sample efficient and explainable control frameworks. We are presenting a framework for recursively composing control skills to solve compos...
Machine Learning Based Radar Cross-Section Clustering Towards Enhanced Situational Awareness for Next-Generation Fighter Aircraft
Ozdemir, Mustafa Rasit; Kucuk, Ahmet Faruk; Inalhan, Gokhan; Başpınar, Barış; Ertekin Bolelli, Şeyda (2024-01-01)
Situational awareness has vital importance for next-generation fighter aircraft, and it enables pilots to assess, anticipate, and respond adeptly to dynamic combat scenarios. Pop-up threats may occur at any moment in the u...
Time Series Prediction of Solar Power Generation Using Trend Decomposition
Kavakci, Gurcan; Cicekdag, Begum; Ertekin Bolelli, Şeyda (2023-01-01)
High-accuracy predictions of future solar power generations are important for monitoring, maintenance, dispatching, and scheduling. The goal of this study is to create a forecasting workflow that increases prediction accur...
SİNİR AĞLARI İLE ATIŞ ÖNCESİ DEĞER HESAPLAMA
Gorgulu, Tugrul; Demirkan, Mert; Tanik, Guven Orkun; Ertekin Bolelli, Şeyda (2022-09-15)
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