Sinan Kalkan

E-mail

skalkan@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0003-0915-5917

Scopus Author ID

23027462100

Web of Science Researcher ID

A-4843-2016

A method for zone-level urban building energy modeling in data-scarce built environments Koral Iseri, Orcun; Duran, Ayca; Canlı, Ilkim; Akgül, Çağla; Kalkan, Sinan; Gürsel Dino, İpek (2025-06-15) Urban Building Energy Modeling (UBEM) is critical for improving the resilience of cities to climate change, but most regions lack of data sets necessary for its development. A bottom-up approach is a viable method to initi...
Programming with Python for Engineers Kalkan, Sinan; Şehitoğlu, Onur Tolga; Üçoluk, Göktürk (Springer Nature, 2024-08-01)
XoFTR: Cross-modal Feature Matching Transformer Tuzcuoğlu, Önder; Köksal, Aybora; Sofu, Buğra; Kalkan, Sinan; Alatan, Abdullah Aydın (2024-06-16) We introduce XoFTR a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images. Unlike visible images TIR images are less susceptible to adverse lighting and weather conditi...
Uncertainty as a Fairness Measure Kuzucu, Selim; Cheong, Jiaee; Gunes, Hatice; Kalkan, Sinan (2024-01-01) Unfair predictions of machine learning (ML) models impede their broad acceptance in real-world settings. Tackling this arduous challenge first necessitates defining what it means for an ML model to be fair. This has been a...
FairReFuse: Referee-Guided Fusion for Multimodal Causal Fairness in Depression Detection Cheong, Jiaee; Kalkan, Sinan; Gunes, Hatice (2024-01-01) Machine learning (ML) bias in mental health detection and analysis is becoming an increasingly pertinent challenge. Despite promising efforts indicating that multimodal methods work better than unimodal methods, there is m...
An explainable two-stage machine learning approach for precipitation forecast Senocak, Ali Ulvi Galip; Yılmaz, Mustafa Tuğrul; Kalkan, Sinan; Yücel, İsmail; Amjad, Muhammad (2023-12-01) A common post-processing approach to improve precipitation forecasts is to use machine learning models such as artificial neural networks (more specifically, multi-layer perceptrons) as black-box systems. These models util...
A Novel Graph Neural Network for Zone-Level Urban-Scale Building Energy Use Estimation Halaçll, Eren Gökberk; Canll, Ilkim; Işeri, Orçun Koral; Yavuz, Feyza; Akgül, Çaǧla Meral; Kalkan, Sinan; Gürsel Dino, İpek (2023-11-15) Buildings are highly responsible for total energy consumption in cities; therefore, accurate estimation of building energy consumption is essential for developing energy-efficient strategies on an urban scale. Data-driven ...
Towards Gender Fairness for Mental Health Prediction Cheong, Jiaee; Kuzucu, Selim; Kalkan, Sinan; Güneş, Hatice (2023-09-19)
APPRENTICE: Advances towards the development of a Cobot Helper in Assembly Lines Terzioğlu, Yunus; Aslan, Özgür; Bolat, Burak; Büyükgöz, Sera; Baltacı, Zeynep Sonat; Kalkan, Sinan; Şahin, Erol (Institution of Engineering and Technology, 2023-08-01)
TMO-Det: Deep tone-mapping optimized with and for object detection Koçdemir, İsmail Hakkı; Koz, Alper; Akyuz, Ahmet Oguz; Chalmers, Alan; Alatan, Abdullah Aydın; Kalkan, Sinan (2023-08-01)

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