Recognition of acoustic events using deep neural networks. - Oguzhan Gencoglu; Tuomas Virtanen; Heikki Huttunen (EUSIPCO, 2014)

Collecting a citizen's digital footprint for health data mining. - Oguzhan Gencoglu; Heidi Similä; Harri Honko; Minna Isomursu (EMBC, 2015)

Computer Vision for Head Pose Estimation: Review of a Competition. - Heikki Huttunen; Ke Chen 004; Abhishek Thakur; Artus Krohn-Grimberghe; Oguzhan Gencoglu; Xingyang Ni; Mohammed Al-Musawi; Lei Xu 036; Hendrik Jacob van Veen (SCIA, 2015)

Predicting the Flu from Instagram. - Oguzhan Gencoglu; Miikka Ermes (CoRR, 2018)

Improving Prostate Cancer Detection with Breast Histopathology Images. - Umair Akhtar Hasan Khan; Carolin Stürenberg; Oguzhan Gencoglu; Kevin Sandeman; Timo Heikkinen; Antti Rannikko; Tuomas Mirtti (ECDP, 2019)

Deep Representation Learning for Clustering of Health Tweets. - Oguzhan Gencoglu (CoRR, 2019)

HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning. - Oguzhan Gencoglu; Mark J. van Gils; Esin Guldogan; Chamin Morikawa; Mehmet Süzen; Mathias Gruber; Jussi Leinonen; Heikki Huttunen (CoRR, 2019)

Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter. - Oguzhan Gencoglu (SMM4H@COLING, 2020)

Causal Modeling of Twitter Activity during COVID-19. - Oguzhan Gencoglu; Mathias Gruber (Comput., 2020)

Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19. - Oguzhan Gencoglu (Mach. Learn. Knowl. Extr., 2020)

Cyberbullying Detection With Fairness Constraints. - Oguzhan Gencoglu (IEEE Internet Comput., 2021)

Machine and expert judgments of student perceptions of teaching behavior in secondary education: Added value of topic modeling with big data. - Bilge Gencoglu; Michelle Helms-Lorenz; Ridwan Maulana; Ellen P. W. A. Jansen; Oguzhan Gencoglu (Comput. Educ., 2023)