activity
20202025
most citedAdaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning

3 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025

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…

cs.LG2020★ 1 cited

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…

cs.LG2020

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…

cs.LG2020

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-…

cs.LG2020

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…