3 citations · 4 across the 7 of their papers we have counts for
7 papers
Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
Sumeyye Bas, Kiymet Kaya, Elif Ak +1
The routing protocol for low-power and lossy networks (RPL) has become the de facto routing standard for resource-constrained IoT systems, but its lightweight design exposes critic…
WBHT: A Generative Attention Architecture for Detecting Black Hole Anomalies in Backbone Networks
Kiymet Kaya, Elif Ak, Sule Gunduz Oguducu
We propose the Wasserstein Black Hole Transformer (WBHT) framework for detecting black hole (BH) anomalies in communication networks. These anomalies cause packet loss without fail…
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
Irem Islek, Sule Gunduz Oguducu
Recommendation systems can provide accurate recommendations by analyzing user shopping history. A richer user history results in more accurate recommendations. However, in real app…
Hotel Recommendation System Based on User Profiles and Collaborative Filtering
Bekir Berker Türker, Resul Tugay, Şule Öğüdücü +1
Nowadays, people start to use online reservation systems to plan their vacations since they have vast amount of choices available. Selecting when and where to go from this large-sc…
Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices
Resul Tugay, Sule Gunduz Oguducu
Singular Value Decomposition (SVD) is a well studied research topic in many fields and applications from data mining to image processing. Data arising from these applications can b…
A Deep Hybrid Model for Recommendation Systems
Muhammet cakir, sule gunduz oguducu, resul tugay
Recommendation has been a long-standing problem in many areas ranging from e-commerce to social websites. Most current studies focus only on traditional approaches such as content-…
Demand Prediction Using Machine Learning Methods and Stacked Generalization
Resul Tugay, Sule Gunduz Oguducu
Supply and demand are two fundamental concepts of sellers and customers. Predicting demand accurately is critical for organizations in order to be able to make plans. In this paper…