4 citations · 6 across the 6 of their papers we have counts for
8 papers
Beyond Marginal Monitoring: Distributed Joint-Distribution Testing for Data Concept Drift in Large Scale E-Commerce Operations
Cagdas Pullu, Mahmut Emir Arslan, Bugra Balkac +4
Concept drift threatens production machine learning, yet the empirical behavior of multivariate two-sample drift detectors at scale remains under-characterized. Existing benchmarks…
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series
Mahsun Altin, Altan Cakir
This paper presents an extensive empirical study on the integration of dimensionality reduction techniques with advanced unsupervised time series anomaly detection models, focusing…
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce
Altan Cakir, Mert Gurkan
This work addresses an alternative approach for query expansion (QE) using a generative adversarial network (GAN) to enhance the effectiveness of information search in e-commerce.…
Unsupervised Behaviour Analysis of News Consumption in Turkish Media
Didem Makaroglu, Altan Cakir, Behcet Ugur Toreyin
Clickstream data, which come with a massive volume generated by human activities on websites, have become a prominent feature for identifying readers' characteristics by newsrooms…
Cloud Based Big Data DNS Analytics at Turknet
Altan Cakir, Yousef Alkhanafseh, Esra Karabiyik +3
Domain Name System (DNS) is a hierarchical distributed naming system for computers, services, or any resource connected to the Internet. A DNS resolves queries for URLs into IP add…
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition
Gizem Aras, Didem Makaroglu, Seniz Demir +1
Named entity recognition (NER) is an extensively studied task that extracts and classifies named entities in a text. NER is crucial not only in downstream language processing appli…