Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs. - Gokhan Bakal; Ramakanth Kavuluru (MIKE, 2015)

On the Predictive Potential of Graph Patterns for Biomedical Relation Extraction. - Gokhan Bakal; Sergei Wallace; Ramakanth Kavuluru (AMIA, 2016)

On quantifying diffusion of health information on Twitter. - Gokhan Bakal; Ramakanth Kavuluru (BHI, 2017)

Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations. - Gokhan Bakal; Preetham Talari; Elijah V. Kakani; Ramakanth Kavuluru (J. Biomed. Informatics, 2018)

A Computational Drug Repositioning Effort using Patients' Reviews Dataset. - Ali Akkaya; Gokhan Bakal (SmartNets, 2023)

A Transfer Learning Application on the Reliability of Psychological Drugs' Comments. - Tarik Üveys Sen; Gokhan Bakal (SmartNets, 2023)

Text Classification Experiments on Contextual Graphs Built by N-Gram Series. - Tarik Üveys Sen; Mehmet Can Yakit; Mehmet Semih Gumus; Orhan Abar; Gokhan Bakal (ISPR (1), 2024)

Graph-based Biomedical Knowledge Discovery. - Osman Altuner; Burcu Bakir-Gungor; Gokhan Bakal (SIU, 2024)

Building a challenging medical dataset for comparative evaluation of classifier capabilities. - Berat Bozkurt; Kerem Coskun; Gokhan Bakal (Comput. Biol. Medicine, 2024)

An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms. - Betul Erkantarci; Gokhan Bakal (J. Comput. Soc. Sci., 2024)

Combining N-grams and graph convolution for text classification. - Tarik Üveys Sen; Mehmet Can Yakit; Mehmet Semih Gumus; Orhan Abar; Gokhan Bakal (Appl. Soft Comput., 2025)

Beyond visual cues: Emotion recognition in images with text-aware fusion. - Kerim Serdar Sungur; Gokhan Bakal (Displays, 2025)