İsmail Hakkı Toroslu

E-mail

toroslu@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-4524-8232

Scopus Author ID

6603451626

Web of Science Researcher ID

Q-5390-2019

Performance Benchmarks of S3 Storage Middleware Gurbanov, Huseyn; Karagöz, Pınar; Toroslu, İsmail Hakkı; Golasowski, Martin; Martinovic, Jan; Hayek, Mohamad; Hahchinger, Stephan (2026-03-19)
EXA4MIND: A Modular Extreme Data Analytics Platform Hayek, Mohamad; Karagöz, Pınar; Toroslu, İsmail Hakkı; Hachinger, Stephan; Pauw, Viktoria; Martinovic, Jan; Glasowski, Martin (2026-03-18)
How to Make Data Pipeline Scalable: A Case Study for Healthcare Data Analytics Gelecek, Atakan; Karagöz, Pınar; Toroslu, İsmail Hakkı; Martinovic, Jan; Hachinger, Stephan (2026-03-01)
Tapping Data Spaces in HPC: Enabling, Exploring and Benchmarking Database & Object Store Usage Hayek, Mohamad; Karagöz, Pınar; Toroslu, İsmail Hakkı; Gurbanov, Huseyn; Hahchinger, Stephan; Pauw, Viktoria; Glosowski, Martin; Martinovic, Jan (2026-03-01)
EXA4MIND AI Inference Service Solution Karagöz, Pınar; Toroslu, İsmail Hakkı; Çekinel, Recep Fırat; Özer, Arif Görkem; Matus, Adam; Martinovic, Jan; Martinovic, Tomas; Konvicka, Jakub (2026-02-01)
Querying Beyond Keywords: Translating Natural Language to Elasticsearch DSL with Vector Search Support Ozdemir, Aysel Yagmur; Karagöz, Pınar; Toroslu, İsmail Hakkı (2026-01-01) Despite Elasticsearch’s popularity in modern search pipelines, translating natural language queries (NLQs) into its domain-specific language (DSL) remains challenging, especially with the integration of semantic vector sea...
terazi: AI Fairness Tool for Doubly Imbalanced Data Öztürk, Aslı Umay; Sever, Yiğit; Yalcin, Ata; Pauw, Viktoria; Hachinger, Stephan; Toroslu, İsmail Hakkı; Karagöz, Pınar (2025-11-10)
Neighborhood search with heuristic-based feature selection for click-through rate prediction Aksu, Dogukan; Toroslu, İsmail Hakkı; Davulcu, Hasan (2025-04-15) Click-through-rate (CTR) prediction is crucial in online advertising and recommender systems. Maximizing CTR has been a major focus, leading to the development of numerous models designed to capture implicit and explicit f...
Efficient Parallel Algorithm for Approximating Betweenness Centrality Values of Top k Nodes in Large Graphs Toroslu, İsmail Hakkı; Suleymanli, Gadir (2025-02-28) Computing betweenness centrality (BC) in large graphs is crucial for various applications, including telecommunications, social, and biological networks. However, the huge size of the data presents significant challenges. ...
DocSpider: a dataset of cross-domain natural language querying for MongoDB Özer, Arif Görkem; Çekinel, Recep Fırat; Toroslu, İsmail Hakkı; Karagöz, Pınar (2025-02-12) Natural language querying allows users to formulate questions in a natural language without requiring specific knowledge of the database query language. Large language models have been very successful in addressing the tex...

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