Emre Külah

E-mail

ekulah@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0003-0877-5487

Scopus Author ID

57191403541

Web of Science Researcher ID

ABB-4969-2020

SALDIRAY: Scalable and Adaptive Language Diagnostics for Remediation of Anomalies and Typos Külah, Emre; Çetinkaya, Yusuf Mucahit; Alemdar, Hande (2026-01-01) Natural language processing (NLP) systems working with real-world user data often encounter noisy, informal text, including typos, spelling variations, slang, and homophone substitutions. This noise can cause a severe drop...
Targeted marketing on social media: utilizing text analysis to create personalized landing pages Çetinkaya, Yusuf Mucahit; Külah, Emre; Toroslu, İsmail Hakkı; Davulcu, Hasan (2024-04-01) The widespread use of social media has rendered it a critical arena for online marketing strategies. To optimize conversion rates, the landing pages must effectively respond to a visitor segment’s pain points that they nee...
Towards a Programmable Humanizing AI through Scalable Stance-Directed Architecture Çetinkaya, Yusuf Mucahit; Lee, Yeonjung; Külah, Emre; Toroslu, İsmail Hakkı; Cowan, Michael A.; Davulcu, Hasan (2024-01-01) The rise of harmful online content underscores the urgent need for AI systems to effectively detect, filter those, and foster safer and healthier communication. This article introduces a novel approach to mitigate toxic co...
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation Külah, Emre; Çetinkaya, Yusuf Mucahit; Özer, Arif Görkem; Alemdar, HANDE (2022-10-01) The COVID-19 pandemic has caused a pronounced disturbance in the social environments and economies of many countries worldwide. Credible forecasting methods to predict the pandemic’s progress can allow countries to control...
Quantifying the value of sprints in elite football using spatial cohesive networks Külah, Emre; Alemdar, Hande (Elsevier BV, 2020-10-01) Football players are on the move during games and the sprint is one of the distinctive type of those movements. In this study, we focus on quantifying the value of the sprints using the spatial data of players and the coll...
UMons at MediaEval 2015 affective impact of movies task including violent scenes detection Seddati, Omar; Külah, Emre; Pironkov, Gueorgui; Dupont, Stéphane; Mahmoudi, Saïd; Dutoit, Thierry (null; 2015-01-01)

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