47 citations · 153 across the 7 of their papers we have counts for
7 papers
Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19
Oguzhan Gencoglu
Quantifying the characteristics of public attention is an essential prerequisite for appropriate crisis management during severe events such as pandemics. For this purpose, we prop…
Causal Modeling of Twitter Activity During COVID-19
Oguzhan Gencoglu, Mathias Gruber
Understanding the characteristics of public attention and sentiment is an essential prerequisite for appropriate crisis management during adverse health events. This is even more c…
Cyberbullying Detection with Fairness Constraints
Oguzhan Gencoglu
Cyberbullying is a widespread adverse phenomenon among online social interactions in today's digital society. While numerous computational studies focus on enhancing the cyberbully…
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning
Oguzhan Gencoglu, Mark van Gils, Esin Guldogan +5
Recent advancements in machine learning research, i.e., deep learning, introduced methods that excel conventional algorithms as well as humans in several complex tasks, ranging fro…
Improving Prostate Cancer Detection with Breast Histopathology Images
Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu +4
Deep neural networks have introduced significant advancements in the field of machine learning-based analysis of digital pathology images including prostate tissue images. With the…
Deep Representation Learning for Clustering of Health Tweets
Oguzhan Gencoglu
Twitter has been a prominent social media platform for mining population-level health data and accurate clustering of health-related tweets into topics is important for extracting…