İsmail Hakkı Toroslu

E-mail
toroslu@metu.edu.tr
Department
Department of Computer Engineering
Scopus Author ID
Web of Science Researcher ID
Traffic signal optimization using multiobjective linear programming for oversaturated traffic conditions
Coşkun, Mustafa Murat; Şener, Cevat; Toroslu, İsmail Hakkı (2024-01-01)
In this study, we present a framework designed to optimize signals at intersections experiencing oversaturated traffic conditions, utilizing mixed-integer linear programming (MILP) techniques. The proposed MILP solutions w...
Trust-aware location recommendation in location-based social networks: A graph-based approach
Canturk, Deniz; Karagöz, Pınar; Kim, Sang-Wook; Toroslu, İsmail Hakkı (2023-03-01)
© 2022 Elsevier LtdWith the increase in the use of mobile devices having location-related capabilities, the use of Location-Based Social Networks (LBSN) has also increased, allowing users to share location-embedded informa...
The Floyd-Warshall all-pairs shortest paths algorithm for disconnected and very sparse graphs
Toroslu, İsmail Hakkı (2023-01-01)
The Floyd-Warshall algorithm is the most popular algorithm for determining the shortest paths between all vertex pairs in a graph. It is a very simple and an elegant algorithm. However, for graphs without any negative weig...
Autonomous Visual Moderation System (AutoMod) Otonom Görsel Moderasyon Sistemi (AutoMod)
Bahtiyar, Huseyin; Katipoǧlu, Bahadir Irfan; Yüksel, Eda; Toroslu, İsmail Hakkı; Karagöz, Pınar (2023-01-01)
Automod, the content moderation system, is an artificial intelligence solution that enables the detection of similarities and inconsistencies in visual content (image, video, etc.). It is designed as a content moderation s...
Fusion Enhanced Click-Through-Rate Prediction Füzyon Güçlendirmeli Tiklama Orani Tahmini
Bayraktar, Murat; Gökce, Fatma Ceyda; Aksu, Dogukan; Altıngövde, İsmail Sengör; Karagöz, Pınar; Toroslu, İsmail Hakkı (2023-01-01)
In this study, the effects of combining multiple models to increase the accuracy of Click-Through Rate (CTR) prediction, which is a critical task in online advertising, product marketing, and recommendation systems, have b...
Coherent Personalized Paragraph Generation for a Successful Landing Page
Çetinkaya, Yusuf Mucahit; Toroslu, İsmail Hakkı; Davulcu, Hasan (2022-11-12)
Social media has become an important place for online marketing like never before. Businesses use various techniques to identify and reach potential customers across multiple platforms and deliver a message to grab their a...
Maximal paths recipe for constructing Web user sessions
Bayir, Murat Ali; Toroslu, İsmail Hakkı (2022-01-01)
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.This paper introduces a new method for the session construction problem, which is the first main step of the W...
Twitter account classification using account metadata: organization vs. individual
Çetinkaya, Yusuf Mucahit; Gürlek, Mesut; Toroslu, İsmail Hakkı; Karagöz, Pınar (2022-01-01)
Organizations present their existence on social media to gain followers and reach out to the crowds. Social media-related tasks and applications, such as social media graph construction, sentiment analysis, and bot detect...
Personality Analysis Using Classification on Turkish Tweets
Karagöz, Pınar; Toroslu, İsmail Hakkı (2021-10-01)
According to the psychology literature, there is a strong correlation between personality traits and the linguistic behavior of people. Due to the increase in computer based communication, individuals express their persona...
A reinforcement learning based algorithm for personalization of digital, just-in-time, adaptive interventions
Gönül, Suat; Namlı, Tuncay; Coşar, Ahmet; Toroslu, İsmail Hakkı (2021-05-01)
Suboptimal health related behaviors and habits; and resulting chronic diseases are responsible for majority of deaths globally. Studies show that providing personalized support to patients yield improved results by prevent...
Citation Formats