Hasan Ogul

Avdeling for informasjonsteknologi
English version of this page Stilling
Førsteamanuensis
Kontakt
+4746215195
+4746215195
Studiested
Halden
Kontornr.
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Academic interests

Computational intelligence with applications in health informatics, bioinformatics, text mining and image/video understanding

Courses taught

  • None for 2018/2019 Fall semester
  • For previous courses, see hasanogul.com

Background

I received my PhD degree from the Department of Information Systems at Middle East Technical University, Turkey. I worked as postdoc researcher in Helsinki University of Technology (now Aalto University). Prior to joining Østfold University College, I worked as professor at the Department of Computer Engineering in Baskent University, Turkey.

Awards

See my personal webpage: hasanogul.com

Appointments

See my personal webpage: hasanogul.com

Positions held

See my personal webpage: hasanogul.com

Partners

See my personal webpage: hasanogul.com

Forskergrupper

Publikasjoner

  • Acici, Koray; Asuroglu, Tunc; Erdas, C Berke & Ogul, Hasan (2019). T4SS Effector Protein Prediction with Deep Learning. Data.  ISSN 2306-5729.  4(1) . doi: 10.3390/data4010045
  • Baldominos, A.; Ogul, Hasan & Colomo-Palacios, Ricardo (2019). Infection Diagnosis using Biomedical Signals in Small Data Scenarios, In Alejandro Rodriguez (ed.),  2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).  IEEE conference proceedings.  ISBN 978-1-7281-2286-1.  Chapter.  s 38 - 43
  • Baldominos, Alejandro; Ogul, Hasan & Colomo-Palacios, Ricardo (2019). Infection diagnosis using biomedical signals in small data scenarios. Computer-Based Medical Systems.  ISSN 1063-7125.  2019-June, s 38- 43 . doi: 10.1109/CBMS.2019.00018
  • Bayrak, Tuncay & Ogul, Hasan (2019). A New Approach for Predicting the Value of Gene Expression: Two-way Collaborative Filtering. Current Bioinformatics.  ISSN 1574-8936.  14(6), s 480- 490 . doi: 10.2174/1574893614666190126144139
  • Haberal, Ismail & Ogul, Hasan (2019). Prediction of Protein Metal Binding Sites Using Deep Neural Networks. Molecular informatics.  ISSN 1868-1743.  38(7) . doi: 10.1002/minf.201800169
  • Ogul, Hasan; Baldominos, A.; Aşuroğlu, Tunç & Colomo-Palacios, Ricardo (2019). On Computer-Aided Prognosis of Septic Shock from Vital Signs, In Alejandro Rodriguez (ed.),  2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).  IEEE conference proceedings.  ISBN 978-1-7281-2286-1.  Chapter.  s 87 - 92
  • Paker, Ahmet & Ogul, Hasan (2019). mirLSTM: A Deep Sequential Approach to MicroRNA Target Binding Site Prediction. Communications in Computer and Information Science.  ISSN 1865-0929.  1062, s 38- 44 . doi: 10.1007/978-3-030-27684-3_6
  • Acici, Koray; Erdas, C Berke; Asuroglu, Tunc & Ogul, Hasan (2018). HANDY: A benchmark dataset for context-awareness via wrist-worn motion sensors. Data.  ISSN 2306-5729.  3(24) Fulltekst i vitenarkiv.
  • Ogul, Hasan (2018). ALoT: A Time-Series Similarity Measure Based on Alignment of Textures. Lecture Notes in Computer Science.  ISSN 0302-9743.  11314 LNCS, s 576- 585 . doi: 10.1007/978-3-030-03493-1_60 Vis sammendrag
Publisert 30. juli 2018 14:12 - Sist endret 22. mars 2019 12:20