Publications

    2018

  1. A. Alchihabi, B. B. Kivilcim, O. Ekmekci, S. D. Newman, F. T. Yarman Vural, "Decoding cognitive subtasks of complex problem solving using fMRI signals", 26th IEEE Conference on Signal Processing and Communications Applications (SIU), 2018. link
  2. A. Alchihabi, B. B. Kivilcim, S. D. Newman, F. T. Yarman Vural, "A dynamic network representation of fMRI for modeling and analyzing the problem solving task", 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018 IEEE. link
  3. I. Onal Ertugrul, M. Ozay, F. T. Yarman Vural, "Encoding the local connectivity patterns of fMRI for cognitive task and state classification", Brain Imaging and Behavior (2018): 1-12. link

    4. 2017

  4. I. Onal, M. Ozay, E. Mizrak, I. Oztekin, F. T. Yarman Vural, "A new representation of fmri signal by a set of local meshes for brain decoding", IEEE Transactions on Signal and Information Processing over Networks 3.4 (2017): 683-694. link
  5. A. Rahnama, A. Alchihabi, V. Gupta, P. J. Antsaklis, F. T. Yarman Vural, "Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning", 17th International Conference on Bioinformatics and Bioengineering (BIBE), 2017 IEEE. link
  6. O. Firat, K. Cho, B. Sankaran, F. T. Yarman Vural, Yoshua Bengio, "Multi-way, multilingual neural machine translation", Computer Speech & Language 45 (2017): 236-252. link
  7. B. Velioglu, F. T. Yarman Vural, "Transfer learning for brain decoding using deep architectures", 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 2017 IEEE. link
  8. H. Mogultay, F. T. Yarman Vural, "Cognitive learner: An ensemble learning architecture for cognitive state classification", 25th IEEE Conference on Signal Processing and Communications Applications (SIU), 2017. link
  9. A. Afrasiyabi, B. Nasir, O. Yildiz, F. T. Yarman Vural, A. E. Cetin, "An energy efficient additive neural network", 25th IEEE Conference on Signal Processing and Communications Applications (SIU), 2017. link
  10. A. Afrasiyabi, O. Yildiz, B. Nasir, F. T. Yarman Vural, A. E. Cetin, "Energy Saving Additive Neural Network", arXiv preprint arXiv:1702.02676. link

    11. 2016

  11. I. Onal Ertugrul, M. Ozay, F. T. Yarman Vural, "Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification", arXiv preprint arXiv:1610.05036. link
  12. B. Nasir, F. T. Yarman Vural, "Simplification and visualization of brain network extracted from fMRI data using CEREBRA", 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 2016 IEEE. link
  13. A. Afrasiyabi, I. Onal, F. T. Yarman Vural, "A Sparse Temporal Mesh Model for brain decoding", 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 2016 IEEE. link
  14. B. Nasir, F. T. Yarman Vural, "Cerebra: A 3-d visualization tool for brain network extracted from fmri data", 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 2016 IEEE. link
  15. M. Ozay, I. Esnaola, F. T. Yarman Vural, S. R. Kulkarni, H. V. Poor, "Machine learning methods for attack detection in the smart grid", IEEE transactions on neural networks and learning systems 27.8 (2016): 1773-1786. link
  16. I. Onal Ertugrul, M. Ozay, F. T. Yarman Vural, "Hierarchical multi-resolution mesh networks for brain decoding", Brain imaging and behavior (2016): 1-17. link
  17. O. Firat, B. Sankaran, Y. Al-Onaizan, F. T. Yarman Vural, K. Cho "Zero-resource translation with multi-lingual neural machine translation", arXiv preprint arXiv:1606.04164. link
  18. M. Ozay, F. T. Yarman Vural, "Hierarchical distance learning by stacking nearest neighbor classifiers", Information Fusion 29 (2016): 14-31. link
  19. I. Onal, M. Ozay, E. Mizrak, I. Oztekin, F. T. Yarman Vural, "Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding", arXiv preprint arXiv:1603.01067. link
  20. G. Sucu, E. Akbas, I. Oztekin, E. Mizrak, F. T. Yarman Vural, "Decoding cognitive states using the bag of words model on fMRI time series", 24th IEEE Conference on Signal Processing and Communications Applications (SIU), 2016. link
  21. A. Afrasiyabi, I. Onal, F. T. Yarman Vural, "Effect of voxel selection on temporal mesh model for brain decoding", 24th IEEE Conference on Signal Processing and Communications Applications (SIU), 2016. link
  22. O. Yildiz, F. I. Dogan, I. Oztekin, E. Mizrak, F. T. Yarman Vural, "A robust normalization method for fMRI data for brain decoding", 24th IEEE Conference on Signal Processing and Communications Applications (SIU), 2016. link

    23. 2015

  23. I. Onal, M. Ozay, F. T. Yarman Vural, "Modeling Voxel Connectivity for Brain Decoding", International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2015. link
  24. I. Onal, M. Ozay, F. T. Yarman Vural, "Functional Mesh Model with Temporal Measurements for Brain Decoding", 37th annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. link
  25. I. Onal, A. Temizel, F. T. Yarman Vural, "Spatial and Temporal Feature Extraction for Brain Decoding using CUDA", GPU Technology Conference (GTC) 2015. link
  26. I. Onal, E. Aksan, B. Velioglu, O. Firat, M. Ozay, F. T. Yarman Vural. Bilişsel durum analizi için beyin ağı modeli, 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015. link
  27. H. Mogultay, S. Alkan, F. T. Yarman Vural. "Classification of fMRI data by using clustering", 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015. link
  28. A. Afrasiyabi, F. T. Yarman Vural. "fMRG Verilerine Temel Bileşenşer Analizi ve Özyinelemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme", 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015. link
  29. S. Alkan, F. T. Yarman Vural. "Ensembling brain regions for brain decoding",37th annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. link

    30. 2014

  30. O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Deep Learning for Brain State Decoding",13th IEEE International Conference on Image Processing (ICIP), 2014. pdf
  31. I. Onal, E. Aksan, B. Velioglu, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Modeling the Brain Connectivity for Pattern Analysis", 22nd International Conference on Pattern Recognition (ICPR), 2014.pdf
  32. B. Velioglu, E. Aksan, I. Onal, O. Firat, M. Ozay, F. T. Yarman Vural, "Functional Networks of Anatomic Brain Regions", 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), 2014.pdf
  33. O. Firat, I. Onal, E. Aksan, B. Velioglu, I. Oztekin, F. T. Yarman Vural, "Large Scale Functional Connectivity For Brain Decoding", 11th IASTED International Conference on Biomedical Engineering (BioMed), 2014.pdf
  34. O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Discriminative Functional Connectivity Measures for Brain Decoding", arXiv preprint arXiv:1402.5684, 2014. pdf
  35. O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding", International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2014. link
  36. I. Onal, E. Aksan, B. Velioglu, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Estimating Brain Connectivity for Pattern Analysis", 22nd IEEE Conference on Signal Processing and Communications Applications (SIU), 2014.pdf
  37. S. Alkan, F. T. Yarman Vural, "Localization of semantic category classification in fMRI images", 22nd IEEE Conference on Signal Processing and Communications Applications (SIU), 2014.pdf

    38. 2013

  38. O. Ekmekci, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, U. Oztekin, "Mesh Learning for Object Classification using fMRI Measurements",12th IEEE International Conference on Image Processing (ICIP), 2013.pdf
  39. O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Functional Mesh Learning for Pattern Analysis of Cognitive Processes",12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), 2013.
    (Best Paper Award) pdf
  40. I. Onal, M. Ozay, O. Firat, I. Oztekin, F. T. Yarman Vural, "Analyzing the Information Distribution in the fMRI measurements by estimating the degree of locality",35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013.pdf
  41. O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Representation of Cognitive Processes Using the Minimum Spanning Tree of Local Meshes",35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013.pdf
  42. I. Onal, M. Ozay, O. Firat, I. Oztekin, F. T. Yarman Vural, "Information Distribution Analysis in the fMRI measurements with Degree of Locality Estimation",IEEE 21th Conference on Signal Processing and Communications Applications (SIU), 2013.pdf
  43. O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Cognitive Processes Representation Using Minimum Spanning Tree of Local Meshes",IEEE 21th Conference on Signal Processing and Communications Applications (SIU), 2013.pdf

    44. 2012

  44. O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "A Mesh Learning Approach for Brain Data Modeling",IEEE 20th Conference on Signal Processing and Communications Applications (SIU), 2012.pdf
  45. M. Ozay, I. Oztekin, U. Oztekin, F. T. Yarman Vural, "Mesh Learning for Classifying Cognitive Processes", arXiv:1205.2382v2.link

    46. 2011

  46. M. Ozay, I. Oztekin, U. Oztekin, F. T. Yarman Vural, "Modeling cognitive states using machine learning techniques", Neuroinformatics 2011, Boston, MA, USA.abstract

Presentations

    2013

  1. "Functional Mesh Learning for Pattern Analysis of Cognitive Processes" Presentation at ICCI*CC in July 2013 [link]
  2. "Scalable Computation for fMRI Data Analysis" Presentation at ITAP in July 2013 [pdf]

    3. 2012

  3. "Mesh Learning for Cognitive State Recognition" Presentation at ITAP in July 2012 [link]
  4. "Mesh Learning for Classifying Cognitive Processes" Presentation at Google in January 2012 [ppt][pdf]