T.C. FIRAT ÜNİVERSİTESİ

AKADEMİK BİLGİ SİSTEMİ


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Doğum Yeri Elazığ
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Makaleler

  1. Kaya, B., Gündoğan, E., (2018). Evaluating reliability of question-disease relations in online health forms: A link prediction approach. TELEMATICS AND INFORMATICS, 35(7),1799-1808.

Bildiriler

Uluslararası
  1. Müngen, A.A., Gündoğan, E., Kaya, M., (2018). TÜRKÇE DİLİNDE SEMPOZYUMLAR İÇİN HAKEM TAVSİYE MODELİ. 4. Uluslararası Sosyal Beşeri ve İdari Bilimler Sempozyumu, (),-.
  2. Müngen, A.A., Gündoğan, E., Kaya, M., (2018). Finding Expert via Topical Affinity Propagation on Thesis Advisors. International Conference on Artificial Intelligence and Data Processing (IDAP 2018), (),-.
  3. Müngen, A.A., Gündoğan, E., Alhajj, R., Kaya, M., (2018). A Novel Local Propagation Based Expert Finding Method. International Conference on Artificial Intelligence and Data Processing (IDAP 2018), (),-.
  4. Geçkil, A., Müngen, A.A., Gündoğan, E., Kaya, M., (2018). A Clickbait Detection Method on News Sites. 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), (),-.
  5. Gündoğan, E., Kaya, B., Kaya, M., (2017). Prediction of Symptom-Disease Links in Online Health Forums. Advances in Social Networks Analysis and Mining (ASONAM), (),-.
  6. Gündoğan, E., Kaya, B., (2017). A link prediction approach for drug recommendation in disease-drug bipartite network. Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
  7. Gündoğan, E., Kaya, B., (2017). A recommendation method based on link prediction in drug-disease bipartite network. Advanced Information and Communication Technologies (AICT), (),-.

Projeler

  1. Türkiye Merkezli Sosyal Bilimler Alanında Yayınlanmış Makaleler Için Konu Özelinde Uzman Ve Uzmanlar Bulma, 01.07.2017-09.11.2018
  2. Forum Sitelerindeki Hastalık Belirtilerine Göre Hastalıkların Tahmin Edilmesi ve Buna Uygun İlaçların Önerilmesi, 10.02.2017-19.12.2017