most citedX-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

GraphK: Variable-Size Graph Generation with Efficient Edge Construction

Resul Tugay, Eren Oluğ, Elif Ak +1

Graph generation models have advanced significantly with deep learning, yet they remain limited in scalability, flexibility, and ability to model underlying structures. We present…

cs.IR2024

A GNN Model with Adaptive Weights for Session-Based Recommendation Systems

Begüm Özbay, Resul Tugay, Şule Gündüz Öğüdücü

Session-based recommendation systems aim to model users' interests based on their sequential interactions to predict the next item in an ongoing session. In this work, we present a…

cs.LG2024

IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model

Eren Olug, Kiymet Kaya, Resul Tugay +1

Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduce…

cs.CR2024★ 12 cited

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System

Kiymet Kaya, Elif Ak, Sumeyye Bas +2

The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) mod…

cs.NI2024

A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks

Elif Ak, Kiymet Kaya, Eren Ozaltun +2

Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely bec…