Selected publications

Speech

  • Kaya H., Ozkaptan, T., Salah, A.A., Gurgen, F. “Random Discriminative Projection based Feature Selection with Application to Conflict Recognition”, Signal Processing Letters, volume 22, no 6, pp. 671-675, June 2015
  • Kaya H.; Özkaptan T.; Salah A.A.; and Gurgen S. F., “Canonical Correlation Analysis and Local Fisher Discriminant Analysis based Multi-View Acoustic Feature Reduction for Physical Load Prediction”, INTERSPEECH 2014, pp. 442-446, Sep. 2014
  • Kaya H., Eyben F., Salah A.A., and Schuller B. W. “CCA Based Feature Selection with Application to Continuous Depression Recognition from Acoustic Speech Features”, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp. 3757-3761, May 2014
  • Kaya H., Salah A. A., Ekenel H., Gürgen S. F. “Boğaziçi Üniversitesi Türkçe Duygulu Konuşma Veritabanı Üzerinde Deneyler İçin Protokol ve Taban Çizgisi (Protokol and Baseline for Experiments on Boğaziçi University Turkish Emotional Speech Corpus)”,IEEE 22nd Signal Processing and Communications Applications Conference, pp. 1698-1701, April 2014
  • Kaya H., Ercetin A.M., Salah A.A., Gurgen S.F. “Random Forests for Laughter Detection”, Workshop on Affective Social Speech Signals (WASSS ‘13)- in conjunction with Interspeech 2013, Aug. 2013
  • E. Alpaydin, F. Gurgen " Comparison of Statistical and Neural Classifiers and Their Applications to Optical Character Recognition and Speech Classification,” Neural Network Systems Techniques and Applications vol.5, Image Processing and Pattern Recognition, C.T. Leondes (Ed.) Academic Press, pp.61-88, 1998.
  • F. Gunes, H. Torpi, F.S. Gurgen,”Multidimensional signal-noise neural network model,” IEEE Proc. Circuits, Devices and Systems, vol.145, no.2, pp.111-117, April 1998.

Face

  • Berk Gökberk, M. Okan İrfanoğlu, Lale Akarun, Ethem Alpaydın, “Learning the best subset of local features for face recognition,” Pattern Recognition, Volume 40 , Issue 5 (May 2007), Pages: 1520-1532.
  • Salah, A.A., H. Cinar, L. Akarun, B. Sankur, “Robust Facial Landmarking for Registration”, Annals of Telecommunications, Special Issue on Multimodal Biometrics, vol.62, no.1-2, pp.1608-1633, 2007.
  • Salah, A.A., M. Bicego, L. Akarun, E. Grosso, M. Tistarelli, “Hidden Markov Model-based face recognition using selective attention”, in SPIE Conference on Human Vision and Electronic Imaging, 2007.
  • Salah, A.A., N. Alyuz, L. Akarun, “Alternative face models for 3D face registration”, in SPIE Conference on Electronic Imaging: Vision Geometry , 2007.
  • Berk Gökberk, M. Okan İrfanoğlu, Lale Akarun, “3D Shape-based Face Representation and Feature Extraction for Face Recognition,” Image and Vision Computing, Vol.24, Issue.8, pp 857-869, August 2006.
  • Berk Gökberk, Lale Akarun, “Comparative Analysis of Decision-level Fusion Algorithms for 3D Face Recognition,” 18th International Conference on Pattern Recognition, ICPR 2006, 20-24 August 2006, Hong Kong. Best Student Paper Award(Track: Systems, Robotics, and Applications)
  • Salah, A.A., L. Akarun, “3D Facial Feature Localization for Registration”, in B. Gunsel et al. (eds.), LNCS, Volume 4105/2006, International Workshop on Multimedia Content Representation, Classification and Security , pp. 338- 345, 2006.
  • Cinar Akakin, H., A.A. Salah, L. Akarun, B. Sankur, “2D/3D facial feature extraction”, Proc. SPIE Vol. 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; Edward R. Dougherty, Jaakko T. Astola, Karen O. Egiazarian, Nasser M. Nasrabadi, Syed A. Rizvi; Eds., 2006.
  • Akarun, L., B. Gokberk, A.A. Salah, “3D Face Recognition for Biometric Applications,” in Proc. European Signal Processing Conference (EUSIPCO), 2005.
  • Gokberk, B., A.A. Salah, L. Akarun, “Rank-based Decision Fusion for 3D Shape-based Face Recognition,” in T. Kanade, A. Jain, N. Ratha (eds.) LNCS, Volume 3546/2005 Audio- and Video-Based Biometric Person Authentication: 5th International Conference , pp.1019-1028, (AVBPA), 2005.
  • Berk Gökberk, Lale Akarun, “Selection and Extraction of Patch Descriptors for 3D Face Recognition”, ISCIS 2005, Turkey, October 26-28, 2005, Proceedings. Lecture Notes in Computer Science 3733 Springer 2005, ISBN 3-540-29414-7 , pp. 718-727.
  • Berk Gökberk, M. Okan İrfanoğlu, Lale Akarun, Ethem Alpaydın, “Selection of Location, Frequency, and Orientation Parameters of 2D Gabor Wavelets for Face Recognition,” Advanced Studies in Biometrics, Summer School on Biometrics, Alghero, Italy, June 2-6, 2003. Lecture Notes in Computer Science, Vol.3161 Springer 2005, ISBN 3-540-26204-0 , p. 138-146, 2005.
  • M. Okan İrfanoğlu, Berk Gökberk, Lale Akarun, “3D Shape-based Face Recognition using Automatically Registered Facial Surfaces,” International Conference on Pattern Recognition, 2004, pp.183-186, Cambridge, UK.
  • Berk Gökberk, M. Okan İrfanoğlu, Lale Akarun, Ethem Alpaydın, “Optimal Gabor Kernel Selection for Face Recognition,” Proceedings of the IEEE International Conference on Image Processing, 2003, pp. 677-680, Barcelona, Spain.
  • Salah, A.A., E. Alpaydin, L. Akarun, “A Selective Attention Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.24, No.3, pp. 420-425, March 2002.
  • Gokberk, B., L. Akarun, E. Alpaydin, “Feature selection for pose invariant face recognition,” Proceedings ICPR 2002, Quebec City, Canada, August 2002.
  • B. Gokberk, L. Akarun, E. Alpaydin, “Gabor wavelet based pose estimation for face recognition”, Proc. ISCIS’01, Antalya,November 2001.
  • A.A. Salah, E. Alpaydin, L. Akarun, “A selective attention based method for visual pattern recognition”, Proc. 23rd Annual Conf. of the Cognitive science Society, p. 881-886, August 2001, Edinburgh, Scotland.
  • Z. Melek, L. Akarun, “Automated lip synchronized speech driven facial animation”, Proceedings IEEE Int. Conf. On Multimedia and Expo., July 2000, New York.
  • E. Demir, L. Akarun, E. Alpaydin, “Two-stage approach for pose-invariant face recognition”, Proceedings ICASSP 2000, June 2000, Istanbul, Turkey.
  • A.A. Salah, E. Alpaydin, L. Akarun, “Selective attention based optical recognition of handwritten digits”, Proceedings of the First Balkan Conference on signal processing, communications, circuits and systems, Istanbul, June 2000.
  • E. B. Abay, L. Akarun, and E. Alpaydin, “A comparative analysis of different feature sets for face recognition,” Proc. ISCIS’97, pp. 220-227, Antalya, 1997.

Gesture

  • Thomas Burger, Alexandra Urankar, Oya Aran, Lale Akarun, Alice Caplier, “Cued Speech Hand Shape Recognition”, 2nd International Conference on Computer Vision Theory and Applications (VISAPP’07), Spain, March 2007
  • Oya Aran, Lale Akarun, “Recognizing Two Handed Gestures with Generative, Discriminative and Ensemble Methods via Fisher Kernels”, International Workshop on Multimedia Content Representation, Classification and Security (MRCS’06), Istanbul, September 2006
  • Mehmet Emre Sargin, Oya Aran, Alexey Karpov, Ferda Ofli, Yelena Yasinnik, Stephen Wilson, Engin Erzin, Yucel Yemez and A. Murat Tekalp, “Gesture-Speech Correlation Analysis and Speech Driven Gesture Synthesis”, IEEE International Conference on Multimedia, Expo (ICME’06), Toronto, July 2006
  • Mehmet Emre Sargin, Ferda Ofli, Yelena Yasinnik, Oya Aran, Alexey Karpov, Stephen Wilson, Yucel Yemez, Engin Erzin and A. Murat Tekalp, “Combined Gesture-Speech Analysis and Synthesis”, Proceedings of eNTERFACE 2005, The Summer Workshop on Multimodal Interfaces, Faculté Polytechnique de Mons, Belgium, 2005
  • Oya Aran, Cem Keskin, Lale Akarun, “Sign Language Tutoring Tool”, EUSIPCO’05, Antalya, September 2005.
  • Cem Keskin, Oya Aran, Lale Akarun, “Real Time Gestural Interface For Generic Applications”, EUSIPCO’05, Antalya, September 2005.

Fingerprint

  • “Gradient Based Fingerprint Verification Using Principal Components,” Ballan M., Gurgen F., pp.191-196, Advances in Intelligent Systems and Computer Science, World Sci Eng. Soc. Press (ISBN: 960-8052-16-5), 1999.
  • Ballan M., Gurgen F.,” On the Principal Component Based Fingerprint Classification Using Directional Images,” 2nd Intl. Sym. Math. And Comp. Appl., Mathematical & Computational Applications, Vol. 4, No. 1-3, pp. 91-98, 1999.

Biomedical Signal and Image classification

  • Gurgen F.S., Guler N., Varol F., “Antenatal Fetal risk Assessment by Blood Velocity Waveforms Using Discriminant Functions: Umbilical Artery and Cerebral-Umbilical Ratio,” Vol 20, No 6, pp 165-169, IEEE Engineering in Medicine and Biology Magazine, Nov/Dec, 2001.
  • Gurgen F.S., Guler N., Varol F., “Antenatal Fetal risk Assessment by Blood Velocity Waveforms Using Discriminant Functions: Umbilical Artery and Cerebral-Umbilical Ratio,” Vol 19, No 6, pp 88-93, IEEE Engineering in Medicine and Biology Magazine, Nov/Dec, 2000.
  • Fikret Gurgen,”Decision Making with Neural Network Based Medical Diagnostic Applications,” Vol 18, No 4, pp 89-93, IEEE Engineering in Medicine and Biology Magazine, July-August, 1999.
  • “Decision Making using Statistical Decision Theory and Neural Networks in Medical Diagnostic Applications,” Chapter in Computer Techniques in Medical and Biotechnology Systems, for GORDON and BREACH International Series in Engineering, Technology and Applied Science Edited by Cornelius T. Leondes, 2000.
  • “Decision of Normal and Growth Retarded Pregnancies by Discriminant functions Using Umbilical Arterial Blood Flow Velocities,” Guler N., Gurgen F., Varol F., pp.186-191, Advances in Intelligent Systems and Computer Science, World Sci Eng. Soc. Press (ISBN: 960-8052-16-5), 1999.
  • Gurgen F., Guler N., Varol F., “An Intelligent Medical Decision: Antenatal Fetal Risk Assessment by Neurofuzzy Technique Using Doppler Blood Flow Velocity Waveforms from Umbilical and Cerebral Artery,” Proc. of IJCNN, 2001.
  • Guler N., Yildiz O. T., Gurgen F., Varol F., Alpaydin E., “Discriminant Functions and Decision Tree Induction Techniques for Antanetal Fetal Risk Assessment,” Proc. of IJCNN, 2001.
  • Sibel Oge Merey, Fikret Gurgen, Nurgul Gurgen, “The Use of Major Risk Factors for Computer-based Distinction of Diabetic Patients with Ischemic Stroke and without Stroke,” Proc. of IEEE EMB Conf. (CD), 2001.
  • Guler N., Gurgen F., Arikan G., “Using Local Information for diagnosing Intranatal Adverse Conditions by Pulse Oximetry,” Proc. of IEEE EMB Conf. (CD), 2001.
  • Guler N., Yildiz O. T., Gurgen F., Varol F., Alpaydin E., “A Comparison of Discriminant Functions and Decision Tree Induction Techniques for Evaluation of Antenatal Fetal Risk Assessment”, in Proc. of ISCIS, 2000.
  • Ballan M., Gurgen F., “An Intelligent Fuzzy Data Driven System for Class Decision of Limited GPR Data,” in Proc. of ISCIS, 2000.
  • Guler N., Gurgen F., Varol F., " An Intelligent Medical Decision: Antepartum Fetal Evaluation,” in Proc. of IEEE EMB Workshop, Isik Univ. 2000.
  • Ballan M., Gurgen F.,” A Fuzzy K_Means Classification Method for Limited Number of Ground Penetrating Radar (GPR) Data,” in Proc. of Eng. In Intelligent Systems (EIS), 2000.
  • Guler N., Gurgen F., Varol F., “An Evaluation of the Effects of Blood Flow Velocity Waveforms from Umbilical and Cerebral Artery for Antenatal Risk Assessment Decision, " in Proc. of Eng. In Intelligent Systems (EIS), 2000.
  • Guler N., Gurgen F., Varol F., “Diagnosis of Fetal Hypoxia by Discriminant Functions Using Umbilical Arterial Blood Flow Velocity Waveforms, " 2nd Intl. Sym. Math. And Comp. Appl. Proc., pp.372-378, 1999.

Machine Learning

  • Salah, A.A., E. Alpaydin, “Incremental Mixtures of Factor Analyzers,” in Proc. International Conference on Pattern Recognition, vol.1, pp.276-279, (ICPR), 2004.
  • A. Baraldi, E. Alpaydin, “Constructive Feedforward ART Clustering Network - Part I” IEEE Transactions on Neural Networks, 13(3), 645-661, 2002.
  • A. Baraldi, E. Alpaydin “Constructive Feedforward ART Clustering Network - Part II” IEEE Transactions on Neural Networks, 13(3), 662-677, 2002.
  • A. A. Salah, E. Alpaydin, L. Akarun “A Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3), 420-425, 2002.
  • O. T. Yildiz, E. Alpaydin “Omnivariate Decision Trees” IEEE Transactions on Neural Networks, 12(6), 1539-1546, 2001.
  • F. Alimoglu, E. Alpaydin “Combining Multiple Representations for Pen-based Handwritten Digit Recognition” ELEKTRIK: Turkish Journal of Electrical Engineering and Computer Sciences, 9(1), 1-12, 2001.
  • E. Alpaydin “Combined 5x2cv F Test for Comparing Supervised Classification Learning Algorithms,” Neural Computation, 11(8), 1885-1982, 1999.
  • I. Bayraktaroglu, A. S. Ogrenci, G. Dundar, S. Balkir, E. Alpaydin “ANNSyS: An Analog Neural Network Synthesis System,” Neural Networks, 12(2), 325-338, 1999.
  • E. Alpaydin, Ed. Special Issue on Engineering of Intelligent Systems, Artificial Intelligence in Engineering, “Guest Editorial,” 13(4), 1999.
  • E Alpaydin, C Kaynak “Cascading Classifiers,” Kybernetika, 34(4), 369-374, 1998.
  • E. Alpaydin “Soft Vector Quantization and the EM Algorithm,” Neural Networks, 11(3), 467-477, 1998.
  • F. Koksal, E. Alpaydin, G. Dundar “Weight Quantization for Multilayer Perceptrons using Soft Weight Sharing,” ICANN‘01, Vienna, Austria, August 2001.
  • E. Alpaydin “Assessing and Comparing Classification Algorithms,” ISAS2001, Havana, Cuba, March 2001.
  • E. Alpaydin, C. Kaynak, F. Alimoglu “Cascading Multiple Classifiers and Representations for Optical and Pen-Based Handwritten Digit Recognition,” IWFHR, Amsterdam, The Netherlands, September 2000.
  • C. Kaynak, E. Alpaydin “MultiStage Cascading of Multiple Classifiers: One Man’s Noise is Another Man’s Data,” ICML2K, Stanford Univ, USA, June 2000.
  • O.T. Yildiz, E. Alpaydin “Linear Discriminant Trees,” ICML2K, Stanford Univ, USA, June 2000.
  • E. Alpaydin, E. Mayoraz “Learning Error-Correcting Output Codes from Data,” ICANN‘99, Edinburgh, UK, September 1999.
  • E. Mayoraz, E. Alpaydin “Support Vector Machines for Multi-Class Classification,” IWANN’99, Alicante, Spain, June 1999.
  • E. Alpaydin " Techniques for Combining Multiple Learners,” Engineering of Intelligent Systems EIS’98, Teneriffe, Spain, February 1998.

Pattern Recognition

  • Ballan M., Gurgen F.,” On the Relationship of Nearest Neighbor Concept and Fuzzy Membership,” ISCIS’1999 Proc., 1999.

Color and Texture

  • D. Ozdemir and L. Akarun, “An algorithm for fuzzy color quantization of images”, Pattern Recognition (Special Issue on Color Imaging), vol 35, no. 8, pp. 1785-1791, August 2002.
  • D. Ozdemir and L. Akarun, “Fuzzy Algorithms for combined quantization and dithering”, IEEE Transactions on Image Processing, vol. 10, no 6, pp. 923-931, June 2001.
  • D. Ozdemir and L. Akarun, “Fuzzy Error Diffusion”, IEEE Transactions on Image Processing, vol. 9, no 4, pp. 683-690, April 2000.
  • L. Akarun, Y. Yardimci, and A.E. Cetin, “Adaptive Methods for Dithering of Color Images”, Selected Papers on Digital Halftoning, J. Allebach (Eds.), pp. 674-677, SPIE Press (1999).
  • L. Akarun, O. Yalcin, and D. Ozdemir, “Joint quantization and dithering of color images,” Selected Papers on Digital Halftoning, J. Allebach (Eds.), pp. 706-709, SPIE Press (1999).
  • D. Ozdemir and L. Akarun, “Fuzzy VQ algorithms for color quantization”, Proc. IEEE workshop on nonlinear signal and image processing (NSIP’99), vol. I, pp.249-253, Antalya, 1999.
  • T. Tasdizen, L. Akarun, and C. Ersoy, “Color Quantization with genetic algorithms,” Signal Processing: Image Communication, vol. 12, pp. 49-57, January 1998.
  • D. Ozdemir and L. Akarun, “Fuzzy approaches in error diffusion of color images”, Proc. ISCIS’98, pp. 214-221, Antalya, 1998.
  • L. Akarun, Y. Yardimci, and A.E. Cetin, “Adaptive Methods for Dithering of Color Images”, IEEE Transactions on Image Processing, vol. 6, no.7, pp. 950-955, July 1997.
  • L. Akarun, D. Ozdemir and E. Alpaydin, “Fuzzy error diffusion of color images,” Proc. ICIP, vol 3, pp.46-49, Santa Barbara, USA, 1997.
  • L. Akarun, D. Ozdemir, and O. Yalcin, “A modified quantization algorithm for dithering of color images,” Electronics Letters, vol. 32, no. 13, pp. 1185-1186, June 1996.
  • L. Akarun, O. Yalcin, and D. Ozdemir, “Joint quantization and dithering of color images,” Proc. ICIP, vol 1, pp. 557-560, Lausanne, Switzerland, 1996.
  • L. Akarun, Y. Yardimci, and A.E. Cetin, “Adaptive Methods for Dithering of Color Images”, Proc. ICIP, vol. 3, pp. 125-128, Washington DC, 1995.
  • L. Akarun Y. Yardimci and A. E. Cetin, “New methods for the dithering of color images”, Proc. 1995 IEEE Workshop on Nonlinear Signal and Image Processing, vol 2, pp. 523-526, Greece, 1995.