Publications

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BOOKS & BOOK CHAPTERS:

  1. S. Kiranyaz and M. Gabbouj, Content-Based Management of Multimedia Databases, Book: Lambert Academic Publishing, 308 pages, May 2012.
  2. S. Kiranyaz, T. Ince and M. Gabbouj, Multi-dimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition, Book: Springer, 383 pages, Aug. 2013.
  3. S. Kiranyaz, M. Birinci and M. Gabbouj, “Perceptual Color Descriptors”, Book: Perceptual Digital Imaging: Methods and Applications (Book of CRC Press / Taylor & Francis), pp. 319-358, September 2012.
  4. T. Ince, S. Kiranyaz, and M. Gabbouj, “A Generic and Patient-Specific Electrocardiogram Signal Classification System”, Book: ECG Signal Processing, Classification and Interpretation (Book of Springer), Chapter 4, pp. 79-99, 2011. 
  5. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data”, Book: Advances in Intelligent Data Analysis XV (Book of Springer), pp. 387-392, October 2016.
  6. O. Avci, O. Abdeljaber, S. Kiranyaz and D. Inman, “Structural Damage Detection in Real Time: Implementation of 1D Convolutional Neural Networks for SHM Applications”, Book: Structural Health Monitoring & Damage Detection, Volume 7 pp 49-54, March 2017. DOI: 10.1007/978-3-319-54109-9_6

Book-cover-978-3-642-37845-4          81GWIXPvYoL

 

LIST OF PATENTS

  • Kiranyaz, T. Ince, M. Gabbouj and R. Hamila, METHOD AND APPARATUS FOR PERFORMING FEATURE CLASSIFICATION ON ELECTROCARDIOGRAM DATA, USPO, 2016-010-01, App. No: 15/223,858, July, 2016. (Pending).
  • Kiranyaz, T. Ince and L. Eren, METHOD AND APPARATUS FOR PERFORMING MOTOR-FAULT DETECTION VIA CONVOLUTIONAL NEURAL NETWORKS, USPO, 2016-014-01, App. No: 15/184,372, PCT/IB2016/053636, June, 2016. (Pending).
  • Kiranyaz, T. Ince and M. Gabbouj, GENERALIZED OPERATIONAL PERCEPTRONS: NEW GENERATION ARTIFICIAL NEURAL NETWORKS, App. No: PCT/IB2017/050658 , Feb. 2017. (Pending)
  • Kiranyaz, T. Ince and M. Gabbouj, PERSONALIZED ECG MONITORING FOR EARLY DETECTION OF CARDIAC ABNORMALITIES, App. No: PCT/IB2017/051406,  10 March, 2017. (Pending)

 

IEEE TRANSACTION & JOURNAL ARTICLES:

  1. S. Kiranyaz, T. Ince, and M. Gabbouj, “Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias,” Scientific Reports – Nature, vol. 7, Aug. 2017. DOI 10.1038/s41598-017-09544-z (SREP-16-52549-T) (link).
  2. M.S.O. Abdeljaber, O. Avci, S. Kiranyaz, H. Sodano and D. J. Inman, “1-D CNNs for Structural Damage Detection: Verification on a Structural Health Monitoring Benchmark Data”, Neurocomputing (Elsevier), 2017. (In Print) (link).
  3. C. Aytekin, H. Possegger, T. Mauthner, S. Kiranyaz, H. Bischof , and M. Gabbouj, “Spatiotemporal Saliency Estimation by Spectral Foreground Detection”, IEEE Trans. on Multimedia, 2017. (In Print) 10.1109/TMM.2017.2713982 (link)
  4. H. Zhang, J. Raitohoarju, S. Kiranyaz, M. Gabbouj, “Limited random walk algorithm for big graph data clustering”, Journal of Big Data (Springer), Dec. 2016, DOI: 10.1186/s40537-016-0060-5 (link)
  5. J. Raitoharju, K. Samiee, S. Kiranyaz, and M. Gabbouj, “Particle swarm clustering fitness evaluation with computational centroids”, Swarm and Evolutionary Computation (Elsevier), Feb. 2017. http://dx.doi.org/10.1016/j.swevo.2017.01.003 (In Print) (link)
  6. J. Ärje, S. Kärkkäinen, , K. Meissner, A. Iosifidis, T. Ince, M. Gabbouj and S. Kiranyaz ” The effect of automated taxa identification errors on biological indices”, Expert Systems with Applications (Elsevier), vol. 72, April 2017. DOI: 10.1016/j.eswa.2016.12.015 (link)
  7. M.S.O. Abdeljaber, O. Avci, S. Kiranyaz, M. Gabbouj and D. J. Inman, “Real-Time Vibration-Based Structural Damage Detection Using One-Dimensional Convolutional Neural Networks”, Journal of Sound and Vibration (Elsevier), vol. 388, pp. 154-170, Feb. 2017. http://dx.doi.org/10.1016/j.jsv.2016.10.043 (link)
  8. S. Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj, “Progressive Operational Perceptrons”, Neurocomputing (Elsevier), vol. 224, pp. 142-154, Feb. 2017. http://dx.doi.org/10.1016/j.neucom.2016.10.044 (link)
  9. C. Aytekin, S. Kiranyaz, A. Iosifidis and M. Gabbouj, “Learning Graph Affinities for Spectral Graph-based Salient Object Detection”, Pattern Recognition (Elsevier), vol. 60, pp. 159-167, April 2017. (To Appear). http://dx.doi.org/10.1016/j.patcog.2016.11.005  (link)
  10. M.S.O. Abdeljaber, O. Avci, S. Kiranyaz, D. J. Inman, “Optimization of Linear Zigzag Insert Metastructures for Low-Frequency Vibration Attenuation Using Genetic Algorithms”, Mechanical Systems and Signal Processing (Elsevier), vol. 84, part A, pp. 625-641, Feb. 2017. (link)
  11. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “Competitive Quantization for Approximate Nearest Neighbor Search”, IEEE Trans. on Knowledge and Data Engineering, vol. 28, pp. 2884-2894, Nov. 2016. (link)
  12. T.Ince, S.Kiranyaz , L.Eren , M.Askar and M.Gabbouj, “Real-Time Motor Fault Detection by 1D Convolutional Neural Networks”, IEEE Trans. of Industrial Electronics, vol. 63, Issue 11, pp. 7067 – 7075, Nov. 2016. DOI: 10.1109/TIE.2016.2582729  (pdf)
  13. J. Raitoharju, S. Kiranyaz and M. Gabbouj, “Feature Synthesis for Image Classification and Retrieval via One-against-all Perceptrons”, Neural Computing and Applications, pp. 1- 15, July 2016. doi:10.1007/s00521-016-2504-4 (link)
  14. C. Aytekin, S. Kiranyaz, M. Gabbouj, “Learning to Rank Salient Segments Extracted by Multispectral Quantum Cuts”, Pattern Recognition Letters (Elsevier), Dec. Vol. 72, pp. 91-99, March 2016. doi:10.1016/j.patrec.2015.12.005. (link)
  15. C. Aytekin, S. Kiranyaz, and M. Gabbouj, “Extended Quantum Cuts for Salient Object Extraction”, Multimedia Tools and Applications, pp. 1-21, March 2016. (link)
  16. C. Aytekin, S. Kiranyaz, A. Iosifidis and M. Gabbouj, “Recent Advances in Salient Object Detection – Towards Object Recognition in Big Media Data”, Futura, 2016. (In Print). (link)
  17. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “K-Subspaces Quantization Subspaces for Approximate Nearest Neighbor Search”, IEEE Trans. on Knowledge and Data Engineering, Issue 99, pp. 1-24, March 2016. DOI:10.1109/TKDE.2016.2535287 (link)
  18. Zabihi, S. Kiranyaz, A. B. Rad, A. K. Katsaggelos, M. Gabbouj, and T. Ince, “Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection”, in IEEE Trans. on Neural Systems & Rehabilitation Engineering, Dec. 2015. (pdf)
  19. Raitoharju, S. Kiranyaz, and M. Gabbouj, “Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering “, IEEE Trans. on Neural Networks and Learning Systems, Nov. 2015, DOI:10.1109/TNNLS.2015.2497286 . (link)
  20. Samiee, S. Kiranyaz, M. Gabbouj, and T. Saramaki, “Long-term epileptic EEG classification via 2D mapping and textural features,” Expert Systems with Applications, vol. 42, issue 20, pp. 7175-7185, Nov. 2015. doi:10.1016/j.eswa.2015.05.002 (link)
  21. S. Kiranyaz, T. Ince, and M. Gabbouj, “Real-Time Patient-Specific ECG Classification by 1D Convolutional Neural Networks”, IEEE Trans. on Biomedical Engineering, Issue 99, Aug. 2015 DOI: 10.1109/TBME.2015.2468589. (pdf)
  22. J. Joutsijoki, K. Meissner, M. Gabbouj, S. Kiranyaz, J. Raitoharju, J. Ärje, S. Kärkkäinen, V.Tirronen, T. Turpeinen and M. Juhola, “Evaluating the performance of Artificial Neural Networks for the classification of freshwater benthic macroinvertebrates”, Ecological Informatics (Elsevier), pp. 1-12, March 2014. (link)
  23. S. Kiranyaz, T. Ince, M. Zabihi, and D. Ince, “Automated Patient-Specific Classification of Long-term Electroencephalography”, Journal of Biomedical Informatics (Elsevier), vol. 49, pp. 16-31, June 2014. (pdf)
  24. M. Birinci, S. Kiranyaz, “A Perceptual Scheme for Fully Automatic Video Shot Boundary Detection”, Image Communication (Elsevier), vol. 29, pp. 410-423, March 2014. (link)
  25. S. Uhlmann, S. Kiranyaz, and M. Gabbouj, “Semi-Supervised Learning for Ill-posed Polarimetric SAR Classification”, Remote Sensing (Elsevier), vol. 6, pp. 4801 – 4813, June 2014. (link)
  26. S. Uhlmann, and S. Kiranyaz, “Classification of dual- and single polarized SAR Images by Incorporating Visual Features”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 52, no. 4, pp. 2197-2216, vol. 90, pp. 10-22, April 2014. (http://dx.doi.org/10.1016/j.isprsjprs.2014.01.005 (link)
  27. S. Uhlmann, and S. Kiranyaz, “Integration of Color Features in Polarimetric SAR Image Classification”, IEEE Trans. on Geoscience & Remote Sensing, vol. 52, No. 4, pp. 2197 – 2216, April 2014. (link)
  28. T. Mäkinen, S. Kiranyaz, J. Raitoharju and M. Gabbouj, “Evolutionary Feature Synthesis for Audio Retrieval”, EURASIP Journal on Audio, Speech, and Music Processing, doi:10.1186/1687-4722-2012-23, pp. 1-23, Sep. 2012. (link)
  29. S. Kiranyaz, T. Mäkinen, and M. Gabbouj, “Dynamic and scalable audio classification by collective network of binary classifiers framework: An evolutionary approach”, Neural Networks (Elsevier), vol. 34, pp. 80-95, Oct. 2012. (link)
  30. S. Kiranyaz,  T. Ince, S. Uhlmann, and M. Gabbouj, “Collective Network of Binary Classifier Framework for Polarimetric SAR Image Classification: An Evolutionary Approach”, IEEE Transactions on Systems, Man, and Cybernetics – Part B, vol.42, no.4, pp.1169-1186, Aug. 2012. (pdf)
  31. T. Ince, S. Kiranyaz, and M. Gabbouj, “Evolutionary RBF Classifier for Polarimetric SAR Images”, Expert Systems with Applications (Elsevier), Vol. 39, pp. 4710 – 4717, April 2012. (link)
  32. S. Kiranyaz, J. Pulkkinen, T. Ince, M. Gabbouj, J. Arje, S. Karkkainen, V. Tirronen, M.  Juhola, T.  Turpeinen, and K. Meissner, “Classification and Retrieval on Macroinvertebrate Image Databases”, Computers in Biology and Medicine (Elsevier), vol. 41, pp. 463-472, July 2011. (link)
  33. S. Kiranyaz, T. Ince, J. Pulkkinen, and M. Gabbouj, “Personalized Long-Term ECG Classification: A Systematic Approach,” Expert Systems with Applications (Elsevier), pp. 3220-3226, 2011. (pdf)
  34. S. Kiranyaz, J. Pulkkinen, and M. Gabbouj, “Multi-dimensional particle swarm optimization in dynamic environments,” Expert Systems with Applications (Elsevier), vol. 38, num. 3, pp. 2212-2223, 2011. (pdf)
  35. S. Kiranyaz, T. Ince, and M. Gabbouj, “Stochastic Approximation Driven Particle Swarm Optimization with Simultaneous Perturbation (Who will guide the guide?)”, Applied Soft Computing Journal (Elsevier), 11(2), pp. 2334-2347, 2011. DOI: 10.1016/j.asoc.2010.07.022. (pdf)
  36. T. Ince, S. Kiranyaz, J. Pulkkinen, and M. Gabbouj, “Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis,” Expert Systems with Applications (Elsevier), Article ID 4730, doi:10.1016/j.eswa.2010.05.033, pp. 8450-8461, 2010. (link)
  37. S. Kiranyaz, M. Birinci and M. Gabbouj, “Perceptual Color Descriptor based on Spatial Distribution: A Top-Down Approach”, Journal of Image and Vision Computing (Elsevier), pp.1309-1326, 2010. doi:10.1016/j.imavis.2010.01.012 (link)
  38. Kiranyaz, S. Uhlmann, T. Ince, and M. Gabbouj, “Perceptual Dominant Color Extraction by Multi-Dimensional Particle Swarm Optimization”, EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 451638, 13 pages, 2009. doi:10.1155/2009/451638. (pdf)
  39. S. Kiranyaz, T. Ince, A. Yildirim and M. Gabbouj, “Evolutionary Artificial Neural Networks by Multi-Dimensional Particle Swarm Optimization”, Neural Networks (Elsevier), vol. 22, pp. 1448 – 1462, doi:10.1016/j.neunet.2009.05.013, Dec. 2009. (link)
  40. T. Ince, S. Kiranyaz, and M. Gabbouj, “A Generic and Robust System for Automated Patient-specific Classification of Electrocardiogram Signals”, IEEE Transactions on Biomedical Engineering, vol. 56, issue 5, pp. 1415-1426, May 2009. (link)
  41. S. Kiranyaz, T. Ince, A. Yildirim and M. Gabbouj, “Fractional Particle Swarm Optimization in Multi-Dimensional Search Space”, IEEE Transactions on Systems, Man, and Cybernetics – Part B, (doi: 10.1109/TSMCB.2009.2015054), pp. 298 – 319, vol. 40, No. 2, April 2010. (link)
  42. S. Kiranyaz, M. Gabbouj, “Hierarchical Cellular Tree: An Efficient Indexing Scheme for Content-based Retrieval on Multimedia Databases”, IEEE Transactions on Multimedia, vol. 9, Issue 1, pp. 102-119, January 2007. (pdf)
  43. S. Kiranyaz, M. Ferreira, M. Gabbouj, “A Generic Shape/Texture Descriptor over Multi-Scale Edge Field: 2D Walking Ant Histogram”, in IEEE Transactions on Image Processing, vol. 17, no. 3, pp. 377-391, March 2008. (pdf)
  44. S. Kiranyaz, M. Ferreira, M. Gabbouj, “Automatic Object Extraction over Multi-Scale Edge Field for Multimedia Retrieval”, in IEEE Transactions on Image Processing, pp. 3759-3772, December, 2006. (pdf)
  45. S. Kiranyaz, M. Gabbouj, “A Generic Content-Based Audio Indexing and Retrieval Framework”, IEE Proceedings Vision, Image and Signal Processing, vol. 153, no. 3, pp. 285-297, June 2006. (pdf)
  46. S. Kiranyaz, A. F. Qureshi and M. Gabbouj, “A Generic Audio Classification And Segmentation Approach For Multimedia Indexing and Retrieval”, in IEEE Transactions on Speech and Audio Processing, vol. 14, issue 3, pp. 1062-1081, May 2006. (pdf)
  47. S. Kiranyaz, M. Gabbouj, “A Novel Multimedia Retrieval Technique: Progressive Query (WHY WAIT?)”, IEE Proceedings Vision, Image and Signal Processing, pp. 356-366, May 2005. (pdf)

 

CONFERENCE PROCEEDINGS

  1. T. Ince, M. Zabihi, S. Kiranyaz, and M. Gabbouj, “Learned vs. Hand-Designed Features for ECG Beat Classification: A Comprehensive Study,” in Proc. of European Medical and Biological Engineering Conference – Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, EMBEC & NBC 2017 pp 551-554, June 2017.
  2. T. Ince, M. Ahishali,  S. Kiranyaz,  “Comparison of Polarimetric SAR Features for Terrain Classification Using Incremental Training,” In Proc. Progress In Electromagnetics Research (PIERS) 2017 Symposium, St. Petersburg, 22-25 May 2017.
  3. M. Zabihi, A. B. Rad, S. Kiranyaz, M. Gabbouj,  and  A. K. Katsaggelos, “Heart sound anomaly and quality detection using ensemble of neural networks without segmentation”,  IEEE Computing in Cardiology Conference, CinC 2016. pp. 613-616,  1 Mar 2017.
  4. S. Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj, “Generalized Model of Biological Neural Networks: Progressive Operational Perceptrons”, Int. Joint Conf. on Neural Networks (IJCNN 2017), 14-19 May, 2017. (To Appear)
  5. H. Zhang, S. Kiranyaz, M. Gabbouj, “A K-NEAREST NEIGHBOR MULTILABEL RANKING ALGORITHM WITH APPLICATION TO CONTENT-BASED IMAGE RETRIEVAL”, 42th Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, USA, Mar. 5-9, 2017.
  6. J. Raitoharju, E. Riabchenk, K. Meissner, I. Ahmad, A. Iosifidis, M. Gabbouj, and S. Kiranyaz, “Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates”, in Proc. of 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI 2016), Cancun, Mexico, 4-6 Dec. 2016. DOI: 10.1109/CVAUI.2016.020
  7. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “A Vector Quantization Based k-NN Approach for Large-Scale Image Classification”, The Sixth International Conference on Image Processing Theory, Tools and Applications, IPTA’16, 12-15 Dec. 2016. DOI:10.1109/IPTA.2016.7821010
  8. E. C. Ozan, E. Riabchenko, S. Kiranyaz, and M. Gabbouj,, “An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data”, 15th Int. Symposium on Intelligent Data Analysis (IDA 2016), 2016 .
  9. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “Joint K-Means Quantization for Approximate Nearest Neighbor Search”, 23rd Int. Conf. on Pattern Recognition, ICPR 2016, Cancun, Mexico, Dec. 2016.
  10. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “Self-Organizing Binary Encoding for Approximate Nearest Neighbor Search”, 24th European Signal Processing Conference (EUSIPCO), Hungary, 29 Aug. 2016
  11. E. Riabchenko, K. Meissner, I. Ahmad, A. Iosifidis, V. Tirronen, M. Gabbouj, M. and S. Kiranyaz, “Learned vs. Engineered Features for Fine-Grained Classification of Aquatic Macroinvertebrates”, 23rd Int. Conf. on Pattern Recognition, ICPR 2016, Cancun, Mexico, Dec. 2016.
  12. C. Aytekin, A. Iosifidis, S. Kiranyaz and M. Gabbouj, “Salient Object Segmentation based on Linearly Combined Affinity Graphs”, International Conference on Pattern Recognition (ICPR), Cancun, Mexico, Dec. 2016.
  13. S. Kiranyaz, M.-A. Waris, I. Ahmad, R. Hamila, and M. Gabbouj, “Face Segmentation ın thumbnail Images by Data-Adaptive Convolutional Segmentation Networks”, Int. Conf. on Image Processing, ICIP’16, Phoenix, Arizona, USA, September 25-28, 2016.
  15. E. C. Ozan, S. Kiranyaz, and M. Gabbouj, “M-PCA Binary Embedding For Approximate Nearest Neighbor Search”, 9th IEEE Int. Conf. on Big Data Science and Engineering, Finland, Aug. 2015.
  16. K. Samiee, P. Kovacs, S. Kiranyaz, M. Gabbouj, and T. Saramaki, “Sleep stage classification using sparse rational decomposition of single channel EEG records,” in 23rd European Signal Processing Conference (EUSIPCO), Sep. 2015.
  17. S. Kiranyaz, T. Ince, M. Gabbouj and R. Hamila, “Convolutional Neural Networks for Patient-Specific ECG Classification”, the 37th IEEE Engineering in Medicine and Biology Society Conference (EMBC’15). Milano, Italy, Aug. 2015.
  18. S. El Din, M. El-Tarhuni, K. Assaleh and S. Kiranyaz, “An HMM-Based Spectrum Access Algorithm for Cognitive Radio Systems”, 2015 Int. Conf. on Information and Communication Technology Research (ICTRC), 17-19 May, UAE, 2015.
  19. B. Rad, M. Zabihi, A. Kastaggelos, S. Kiranyaz and M. Gabbouj, ” A Novel P300-Speller Error Detection Approach in Brain-Computer Interface”, Proc. of the 7th IEEE EMBS Neural Engineering Conference (BCI Challenge@NER 2015), Montpellier, France, 2015.
  20. C. Aytekin, S. Kiranyaz, M. Gabbouj, “Visual Saliency by Extended Quantum Cuts”, Int. Conf. on Image Processing, ICIP’15, Quebec, Canada, Sep. 2015 [Nominated for the Best Student Paper Award].
  21. H. Yuzuguzel, J. Niemi, S. Kiranyaz, M. Gabbouj and T. Heinz, “Shake Me: Key Generation From Shared Motion”, the 13th IEEE International Conference on Pervasive Intelligence and Computing (PIComp-2015). Liverpool, UK, 2015.
  22. C. Aytekin, S. Kiranyaz, M. Gabbouj, “Automatic Object Segmentation by Quantum Cuts”, Int. Conf. on Pattern Recognition, ICPR’14, Stocholm, Sweden, 2014.
  23. J. Raitoharju, J., Zhang, H., Ozan, E. C., Waris, M. A., Faisal, M., Cao, G., Roininen, M., Ahmad, I., Shetty, R., Uhlmann, S., Samiee, K., Kiranyaz, S. & Gabbouj, “Tut MUVIS image retrieval system proposal for MSR-Bing challenge 2014”, in Proc. Of IEEE Int. Conf. on Multimedia and Expo, ICME 2014, Chengdu, China, July 14-18, 2014.
  24. Xie, S.Uhlmann, S. Kiranyaz, M. Gabbouj, “Incremental Learning with Support Vector Data Description”, Int. Conf. on Pattern Recognition, ICPR’14, Stocholm, Sweden, 2014.
  25. H. Zhang, S. Kiranyaz, M. Gabbouj, “Cardinal Sparse Partial Least Square Feature Selection and Its Application in Face Recognition”, 22.nd European Signal Processing Conference, Eusipco ’14, Lisbon – Portugal, 1-5 Sep. 2014.
  26. J. Raitoharju, S. Kiranyaz and M. Gabbouj, “Evolutionary Feature Synthesis by Multi-dimensional Particle Swarm Optimization”, EUVIP’14, the 5th European Workshop on Visual Information Processing, Paris, France, 10-12 December, 2014.
  27. M. Zabihi, S. Kiranyaz, T. Ince, M. Gabbouj, “Patient-specific epileptic seizure detection in long-term EEG recording in pediatric patients with intractable seizures,” in Int. Conference on Intelligent Signal Processing, London, 2013.
  28. C. Aytekin, S. Kiranyaz and S. Gabbouj, “Kuantum mekanigi temelli ozisler nesne cikarimi”, 24 Apr 2013 Proc. of Signal Processing and Communications Applications Conference, SIU 2013, Turkey, 24-26 April 2013.
  29. S. Uhlmann, S. Kiranyaz, “Evaluation of Classifiers For Polarimetric SAR Classification”, IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS’13, Melbourne, Australia, July 2013.
  30. S. Uhlmann, S. Kiranyaz, Moncef Gabbouj,  “Polarimetric SAR Classification Using Visual Color Features Extracted Over Pseudo Color Images”, IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS’13, Melbourne, Australia, July 2013.
  31. C. Aytekin, S. Kiranyaz, and M. Gabbouj, “QUANTUM MECHANICS IN COMPUTER VISION: AUTOMATIC OBJECT EXTRACTION”, 2013 IEEE International Conference on Image Processing, ICIP’13, 15-18 Sep. 2013.
  32. P. Kovács, S. Kiranyaz, M. Gabbouj, “Hyperbolic Particle Swarm Optimization with Application in Rational Identification”, 21.st European Signal Processing Conference, Eusipco ’13, Morocco, 9-13 Sep. 2013.
  33. M. Waris, H. Zhang, I. Ahmad, S. Kiranyaz, M. Gabbouj, “Analysis of Textural Features for Face Biometric Anti-Spoofing”, 21.st European Signal Processing Conference, Eusipco ’13, Morocco, 9-13 Sep. 2013.
  34. C. Aytekin, S. Kiranyaz, M. Gabbouj, “Automatic Object Extraction Based on Quantum Mechanics”, IEEE Signal Proc. And Applications Conf. (SIU), April 2013.
  35. S. Kiranyaz, J. Raitoharju, M. Gabbouj, “Evolutionary feature synthesis for content-based audio retrieval”, Int. Conference on Communications, Signal Processing, and their Applications (ICCSPA), Digital Object Identifier: 10.1109/ICCSPA.2013.6487265 , Feb. 2013.
  36. S. Kiranyaz, T. Ince and M. Gabbouj, “Scalable Content-Based Classification and Retrieval Framework for Dynamic Commercial Image Databases”, 4th Int. Conf. on Networked Digital Technologies (NDT 2012), Dubai, UAE, 24-26 April 2012.
  37. T. Mäkinen, S. Kiranyaz, J. Raitoharju and M. Gabbouj, “Evolutionary Feature Generation for Content-based Audio Classification and Retrieval”, in Proc. of 20th European Signal Processing Conference (EUSIPCO), pp. 1474-1478, Bucharest, Romania, August 27-31, 2012.
  38. Chingovska I, Yang J, Lei Z, Yi D, Li SZ, Kähm O, Glaser C, Damer N, Kuijper A, Nouak A, Komulainen J, Pereira T, Gupta S, Khandelwal S, Bansal S, Rai A, Krishna T, Goyal D, Waris M.A, Zhang H, Ahmad I, Kiranyaz S, Gabbouj M, Tronci R, Pili M, Sirena, “The 2nd Competition on Counter Measures to 2D Face Spoofing Attacks”, Proc. on IAPR International Conference on Biometrics (ICB 2013), Madrid, Spain, 2013.
  39. Liu, S. Kiranyaz and M. Gabbouj, “Robust Scene Classification by GIST with Angular Radial Partitioning”, 5th International Symposium on Communications, Control, and Signal Processing  (ISCCSP2012), Rome, Italy, 2-4 May, 2012.
  40. S. Kiranyaz, J. Pulkkinen, T. Ince and M. Gabbouj, “’Multi-dimensional Evolutionary Feature Synthesis for Content-based Image Retrieval”, on Proc. of Int. Conf. On Image Processing, ICIP’2011, pp. 1-4, Brussels, Belgium, 11–14 Sep. 2011.
  41. S. Uhlmann, S. Kiranyaz, T. Ince and M. Gabbouj, “’Incremental Evolution of Collective Network of Binary Classifier For Polarimetric SAR Image Classification”, in Proc. of Int. Conf. on Image Processing, ICIP’2011, pp. 1-4, Brussels, Belgium, 11–14 Sep. 2011.
  42. S. Uhlmann, S. Kiranyaz, M. Gabbouj, and T. Ince, “Collective Network of Binary Classifier Framework for Polarimetric SAR Images”, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS), pp. 1-4, Paris, France, 11-15 Apr. 2011.
  43. T. Makinen, S. Kiranyaz, M. Gabbouj, “Content-based Audio Classification using Collective Network of Binary Classifiers”, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS), pp. 116-123, Paris, France, 11-15 Apr. 2011.
  44. S. Uhlmann, S. Kiranyaz, T. Ince, M. Gabbouj, “Polarimetric SAR Images Classification using Collective Network of Binary Classifiers“, in Proc. of the Joint Urban Remote Sensing Event, JURSE 2011, pp. 245-248, Munich, Germany, April 11-13, 2011.
  45. S. Uhlmann, S. Kiranyaz, T. Ince, M. Gabbouj, “SAR Imagery Classification in Extended Feature Space by Collective Network of Binary Classifiers”, EUSIPCO, pp. 1160-1164, 28 August – 2 September, Barcelona, Spain, 2011.
  46. S. Kiranyaz, S. Uhlmann, J. Pulkkinen, M.Gabbouj, and T. Ince, “Collective network of evolutionary binary classifiers for image retrieval,” Proceedings of the 3rd IEEE Symposium Series on Computational Intelligence, SSCI 2011, in the IEEE Workshop on Evolving and Adaptive Intelligent Systems, EAIS 2011, 11-15 April 2011, Paris, France, pp. 147-154.
  47. S. Kiranyaz, S. Uhlmann, J. Pulkkinen, T. Ince, M. Gabbouj; “Incremental evolution of collective network of binary classifier for content-based image classification and retrieval”, 2011 International Conference on Innovations in Information Technology (IIT), pp. 232 – 237, 25-27 April, 2011.
  48. S. Uhlmann, S. Kiranyaz, T. Ince, M.Gabbouj, “Dynamic and Data-Driven Classification of Polarimetric SAR Images”, SPIE Remote Sensing: Image and Signal Processing in Remote Sensing, pp. 1-4, Prague, CZ, 19-22 September, 2011.
  49. M. Birinci, S. Kiranyaz and M. Gabbouj; “Video Shot Boundary Detection by Structural Analysis of Local Image Features” in Proc. of 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Delft, The Netherlands, 13-15 April 2011.
  50. S. Kiranyaz, S. Uhlmann, T. Ince and M. Gabbouj, “COLLECTIVE NETWORK OF EVOLUTIONARY BINARY CLASSIFIERS FOR POLARIMETRIC SAR IMAGES”, in Proc. of PolInSAR 5th Int. Workshop on Science and Applications of SAR Polarimetry and  Polarimetric Interferometry’, Frascati, Italy, 24–28 January 2011.
  51. S. Kiranyaz, M. Gabbouj, J. Pulkkinen, T. Ince, and Kristian Meissner, “Network of Evolutionary Binary Classifiers for Classification and Retrieval in Macroinvertebrate Databases”, Proc. of IEEE International Conference on Image Processing, ICIP 2010, pp. 2257 – 2260, Hong Kong, 26-29 Sep, 2010.
  52. T. Ince, S. Kiranyaz, and M. Gabbouj, “Classification of polarimetric SAR images using evolutionary RBF neural networks,” In Proc. of the Int. Conf. on Pattern Recognition, ICPR’10, Istanbul, Turkey, 23-26 August 2010.
  53. S. Kiranyaz, T. Ince, and M. Gabbouj, “Classification of Holter Registers by Dynamic Clustering using Multi-Dimensional Particle Swarm Optimization”, in Proc. of IEEE Engineering in Medicine and Biology Conf. (EMBC 2010), pp. 4695 – 4698, Buenos Aires, Argentina, Aug 31 – Sep. 4. 2010.
  54. S. Kiranyaz, T. Ince, and M. Gabbouj, “Dynamic data clustering using stochastic approximation driven multi-dimensional particle swarm optimization,” In Proc. of European Conference on the Applications of Evolutionary Computation, Lecture Notes in Computer Science, LNCS 6024, pp. 336-343, Springer 2010.
  55. S. Kiranyaz, M. Gabbouj, J. Pulkkinen, T. Ince and K. Meissner, “Classification and Retrieval on Macroinvertebrate Image Databases using Evolutionary RBF Neural Networks”, Int. Workshop on Advanced Image Technology (IWAIT), Malaysia, Kuala Lumpur, Jan. 2010.
  56. S. Kiranyaz, T. Ince, and M. Gabbouj, “A Personalized Classification System for Holter Registers”, in Proc. of IEEE Engineering in Medicine and Biology Conf. (EMBC 2009), pp. 1883-1888, Minneapolis, MN, USA, Sep 2009.
  57. S. Kiranyaz, T. Ince, and M. Gabbouj, “Stochastic Approximation Driven Particle Swarm Optimization”, pp. 40-44, Innovations’09, Al-Ain, UAE, Dec. 2009.
  58. S. Kiranyaz, T. Ince, A. Yildirim and M. Gabbouj, “Multi-dimensional Particle Swarm Optimization for Dynamic Clustering”, IEEE Eurocon Conf., St. Petersburg, Russia, May 18-23, 2009.
  59. S. Kiranyaz, S. Uhlmann, and M. Gabbouj, “Dominant Color Extraction based on Dynamic Clustering by Multi-Dimensional Particle Swarm Optimization”, 7th Int. Workshop on Content-Based Multimedia Indexing (CBMI 2009), pp. 181-188, Crete, Greece, 3-5 June 2009.
  60. M. Gabbouj, M. Birinci, and S. Kiranyaz, “Perceptual Color Descriptor Based on a Spatial Distribution Model: PROXIMITY HISTOGRAMS”, Int. Conf. on Multimedia Computing and Systems (ICMCS 2009), Quarzazate, Morocco, 02-04 April, 2009.
  61. S. Kiranyaz, J. Pulkkinen and M. Gabbouj, “Multi-dimensional Particle Swarm Optimization for Dynamic Environments”, in Proc. of 5th Int. Conf. On Innovations in Information Technology (Innovations’08), Al Ain, UAE, Dec. 2008.
  62. S. Kiranyaz, J. Pulkkinen and M. Gabbouj, “Multiswarm Particle Swarm Optimization in Multidimensional Dynamic Environments”, in Proc. of 13th Finnish Artificial Intelligence Conf. (STeP 2008), Helsinki, Finland, Aug. 2008.
  63. S. Kiranyaz, T. Ince, A. Yildirim and M. Gabbouj, “Unsupervised Design of Artificial Neural Networks via Multi-Dimensional Particle Swarm Optimization”, in Proc. of Int. Conf. on Pattern Recognition, (ICPR 2008), Tampa, Florida, US, Dec. 2008.
  64. T. Ince, S. Kiranyaz, and M. Gabbouj, “Automated patient-specific classification of premature ventricular contractions”, in Proc. of IEEE Engineering in Medicine and Biology Conf. (EMBC 2008), pp. 5474-5477, Vancouver, Canada, Aug. 2008.
  65. M. Birinci, S. Kiranyaz and M. Gabbouj, “Image Color Content Description
    Utilizing Perceptual Color Correlogram”, in Proc. of the IEEE
    Workshop on Content Based Multimedia Indexing (CBMI’08),     pp. 200-207,
    London, UK, June 2008.
  66. S. Kiranyaz, T. Ince, A. Yildirim and M. Gabbouj, “Multi-Dimensional Particle Swarm Optimization”, Int. Workshop on HYBRID SYSTEMS: MODELING, SIMULATION AND OPTIMIZATION, Istanbul, Turkey, May 2008.
  67. S. Kiranyaz, S. Uhlmann, M. Gabbouj, “Effects of Arbitrary-Shaped Regions on Texture Retrieval”, IEEE International Conference on Signal Processing and Communication, Dubai, UAE, pp. 13-16, 24-27 Nov. 2007.
  68. S. Kiranyaz, M. Birinci and M. Gabbouj, “Directional Spatial Color Descriptor in a Perceptual Model: Proximity Grids”, 5th Int’l Symposium on Image and Signal Processing and Analysis, ISPA 2007, Istanbul, Turkey, pp. 119-124, 27-29 Sept. 2007.
  69. S. Uhlmann, S. Kiranyaz, M. Gabbouj, “A Regionalized Content-Based Image
    Retrieval Framework”, European Signal Processing Conference, EUSIPCO, Poznan – Poland, pp. 1804-1808, Sept. 3-7, 2007.
  70. S. Kiranyaz, M. Ferreira, H. Liu, M. Gabbouj, “An Efficient Approach for Boundary based Corner Detection by Maximizing Bending Ratio and Curvature”, in Proc. of Int. Conf. on Information Sciences, Signal Processing and their Applications, ISSPA-2007, Dubai, UAE, 2007.
  71. S. Kiranyaz, M. Ferreira, M. Gabbouj, “A Directional Texture Descriptor via 2D Walking Ant Histogram”, in Proc. of Eight International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS ’07), Santorini, Greece, 2007.
  72. S. Kiranyaz, E. Guldogan, M. Partio, O. Guldogan, M. Gabbouj, “An Extended Framework Structure in MUVIS for Content-based Multimedia Indexing and Retrieval”, SETIT 2007, Hammamet – Tunisia, 25-29 Mar. 2007.
  73. M. Ferreira, S. Kiranyaz and M. Gabbouj, “A Novel Shape Descriptor over Multi-Scale Edge Field: 2D Walking Ant Histogram”, in Proc. of IWSSIP 2006, pp. 475-378, Budapest, Hungary, Sep. 21-23, 2006.
  74. M. Gabbouj, I. Ahmad, M. Y. Amin, S. Kiranyaz, “Content-based Image Retrieval for Connected Mobile Devices”, ISCCSP 2006, Marrakech, Morocco, 13-15 March 2006.
  75. S. Kiranyaz and M. Gabbouj, “An Interactive Query Implementation over High Precision Progressive Query Scheme”, In Proc. of WIAMIS Workshop 2006, Korea, 19-21 April, 2006.
  76. M. Ferreira, S. Kiranyaz and M. Gabbouj, “Multi-scale Edge Detection and Object Extraction for Image Retrieval”, in Proc. of ICASSP 2006, Toulouse, France, May 15-19, 2006.
  77. I. Ahmad, Serkan Kiranyaz, Faouzi Alaya Cheikh and Moncef Gabouj, “Audio-based Queries for Video Retrieval over Java Enabled Mobile Devices,” Proc. SPIE (Multimedia on Mobile Devices II), Electronic Imaging Symposium 2006, San Jose, California (USA), 16-20 Jan. 2006.
  78. S. Kiranyaz and M. Gabbouj, “A Dynamic Contend-based Indexing Method for Multimedia Databases: Hierarchical Cellular Tree”, Proceedings of IEEE International Conference on Image Processing, ICIP 2005, Genova, Italy, Paper ID: 2896, September, 2005.
  79. S. Kiranyaz and M. Gabbouj, “Hierarchical Cellular Tree: An Efficient Indexing Method for Browsing and Navigation in Multimedia Databases”, Proceedings of European Signal Processing Conference, Eusipco 2005, Antalya, Turkey, Paper ID: 1063, September, 2005.
  80. S. Kiranyaz, M. Ferreira and M. Gabbouj, “A Novel Feature Extraction Method based on Segmentation over Edge Field for Multimedia Indexing and Retrieval”, Proceedings of WIAMIS Workshop, Montreux, Switzerland, 13-15 April, 2005.
  81. I. Ahmad, S. Abdullah, S. Kiranyaz, M. Gabbouj, “Content-Based Image
    Retrieval on Mobile Devices”, Proceedings of SPIE (Multimedia on Mobile Devices),
    5684, San Jose, US, 16-20 January 2005.
  82. I. Ahmad, S. Kiranyaz, M. Gabbouj, “Progressive Query Technique for Image Retrieval on Mobile Devices”, Proceedings of Fourth International Workshop on
    Content-Based Multimedia Indexing    , Riga, Latvia, 21-23 June, 2005.
  83. I. Ahmad, , S. Kiranyaz and M. Gabbouj, “An efficient image retrieval scheme on Java enabled mobile devices”, Proceedings of the 2005 IEEE Seventh Workshop on Multimedia Signal Processing, Shanghai, China, October 30 – November 2, 2005.
  84. I. Ahmad and Moncef Gabbouj, “Compression and network effect on content-based image retrieval on Java enabled mobile devices,” In Proc. of the 2005 Finnish Signal Processing Symposium (FINSIG’05), Kuopio, Finland, August 25, 2005.
  85. I. Ahmad, S. Kiranyaz and M. Gabbouj, “Audiovisual retrieval framework for multimedia archives on Java enabled mobile devices”, Proc. of EUROCON 2005 – The International Conference on “Computer as a Tool”, pp. 163-166, Belgrade, Serbia and Montenegro, 21-24 November 2005.
  86. S. Kiranyaz, A. F. Qureshi, and M. Gabbouj, “A Generic Audio Classification And Segmentation Approach For Multimedia Indexing and Retrieval”, In Proc. of the EWIMT 2004, IEE European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, London, U.K., November 2004.
  87. S. Kiranyaz, M. Gabbouj, “A Novel Multimedia Retrieval Technique: Progressive Query (WHY WAIT?)”, In Proc. of WIAMIS Workshop, Lisboa, Portugal, April 2004.
  88. M. Gabbouj, S. Kiranyaz, K. Calgar, E. Guldogan, O. Guldogan and A. F. Qureshi, “Audio-Visual Content-Based Multimedia Indexing and Retrieval – the MUVIS Framework”, Proceedings of the 6th International Conference on Digital Signal Processing and its Applications, DSPA 2004, Moscow, Russia, pp.300-306, March 31 – April 2, 2004.
  89. S. Kiranyaz, K. Caglar, E. Guldogan, O. Guldogan, and M. Gabbouj, “MUVIS: A Content-Based Multimedia Indexing and Retrieval Framework”, Proceedings of the Seventh International Symposium on Signal Processing and its Applications, ISSPA 2003, Paris, France, pp. 1-8, 1-4 July 2003.
  90. S. Kiranyaz, M. Aubazac, M. Gabbouj, “Unsupervised Segmentation and Classification over MP3 and AAC Audio Bitstreams”, Proceedings of WIAMIS Workshop, pp. 338-345, London, 2003.
  91. S. Kiranyaz, A. F. Qureshi, and M. Gabbouj, “A Fuzzy Approach Towards Perceptual Classification and Segmentation of MP3/AAC Audio”, Proceedings of the First International Symposium on Control, Communications and Signal Processing, ISCCSP 2004, Hammamet, Tunisia, pp.727-730, 21-24 March 2004.
  92. E. Guldogan, O. Guldogan, S. Kiranyaz, K. Caglar and M. Gabbouj, “Compression Effects on Color and Texture based Multimedia Indexing and Retrieval”, Proceedings of IEEE International Conference on Image Processing, ICIP 2003, Barcelona, Spain, s. 9-12, 14-17 September 2003.
  93. S. Kiranyaz, K. Caglar, E. Guldogan, O. Guldogan and M. Gabbouj, “MUVIS: A Content-based multimedia indexing and retrieval framework”, Proceedings of the Third International Workshop on Content-Based Multimedia Indexing, CBMI 2003, pp. 405-412, Rennes, France, 22-24 September 2003.
  94. E. Guldogan, E. Guldogan, S. Kiranyaz, K. Caglar, and M. Gabbouj, “Dynamic Integration of Explicit Feature Extraction Algorithms into MUVIS Framework”, Proceedings of the 2003 Finnish Signal Processing Symposium, FINSIG’03, Tampere, Finland, pp. 120-123, 19-20 May 2003.
  95. E. Guldogan, O. Guldogan, S. Kiranyaz, K. Caglar, and M. Gabbouj, “Compression effects on color and texture based multimedia indexing and retrieval”, Proceedings of IEEE International Conference on Image Processing, ICIP 2003, Barcelona, Spain,14-17 September 2003.
  96. M. Gabbouj, S. Kiranyaz, K. Caglar, B. Cramariuc, F. Alaya Cheikh, O. Guldogan, E. Karaoglu, “MUVIS: a multimedia browsing, indexing and retrieval system”, Proceedings of 2002 Tyrrhenian International Workshop on Digital Communications, IWDC 2002, Advanced Methods for Multimedia Signal processing, CNIT Conference, pp.  379-383, Capri, Italy, 8-11 September 2002.
  97. S. Kiranyaz, K. Caglar, B. Cramariuc, and M. Gabbouj, “Unsupervised Scene Change Detection Techniques In Feature Domain Via Clustering and Elimination”, Proceedings of the IWDC 2002 Conference on Advanced Methods for Multimedia Signal Processing, Capri, Italy, September 2002.
  98. R. Castagno, S. Kiranyaz, F. Lohan, I. Defee, “An Architecture based on IETF Protocols for the transport of MPEG-4 Content over the Internet”, IEEE International Conference On Multimedia and Exposition, New York, USA, 30 July – 2 August, 2000.
  99. J. Lohan, I. Defee, R. Castagno, S. Kiranyaz, “Content Delivery and Management in Networked MPEG-4 System”, Signal Processing X, Theories and Applications, EUSIPCO  2000, Volume IV, pp. 2313-2316, Tampere, Finland, 4-8 September 2000.
  100. S. Kiranyaz and L. Onural, “Motion compensated frame interpolation techniques for VLBR coding”, IEEE International Conference on Image Processing, ICIP’97 Santa Barbara, California, (in CD) October 1997.