
PUBLICATIONS

Google scholar

Text citations
 Citation by “SelfOrganizing Maps” by T. Kohonen, at Chapter 9, 1995.( “Comparing Distributed and Local Classifiers for the recognition of Japanese Phonemes,” R. Alpaydin, U. Unluakin, F. Gurgen, E. Alpaydin, Proc. of IJCNN93Nagoya, Intl. Joint Conf. of Neural Networks, vol. I, pp. 239242, 1993.)
 Citation by “Connectionist Speech Recognition: A Hybrid Approach” by H. Bourlard & N. Morgan, at Chapter 13, 1994. ( “Line Spectrum Pairs Representation for speech recognition, ” Fikret S. Gurgen, S. Sagayama, S. Furui, Intl. Conf. on Spoken Lang. Proc. (ICSLP) Kobe Nov. 1990.)

Journals
 M. Yagci, T. Aytekin, F. Gurgen, “Parallel pairwise learning to rank for collaborative filtering”, Concurrency and Computation:P&E, DOI:10.1002/cpe.5141, 2019.
 M. Yagci, T. Aytekin, F. Gurgen, “A Metaalgorithm for Improving TopN Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering”, IJPRAI, DOI:10.1142/S0218001420590077, 2019.
 M. Yagci, T. Aytekin, F. Gurgen, “Scalable and adaptive collaborative filtering by mining frequent item cooccurrences in a user feedback stream”, Engineering applications of Artificial Intelligence, DOI:10:1016/j.engappai.2016.10.011, 2017.
 U. Konur, F. S. Gürgen, F. Varol, L. Akarun, “Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images”, KnowledgeBased Systems 05/2015, DOI:10.1016/j.knosys.2015.04.021, 2015.
 M. S. Yümlü, F. S. Gürgen, A. T. Cemgil, N. Okay, “Bayesian changepoint and timevarying parameter learning in regime switching volatility models”, Digital Signal Processing 02/2015; 40. DOI:10.1016/j.dsp.2015.02.001 (2015)·
 H. Kaya, T. Özkaptan, A. A. Salah, F. Gürgen, “Random Discriminative ProjectionBased Feature Selection with Application to Conflict Recognition”, IEEE Signal Processing Letters, Vol. 22, No 6, pp. 671675, June 2015.
 O. Sakar, O. Kursun, H. Seker, F. Gurgen, N. Aydin, O. Favorov “Combining Multiple Views: Case Studies on Protein and Arrhythmia Features”, Engineering Applications of Artificial Intelligence, Vol. 28, No 6, pp. 174180, 2014.
 G. Aslantaş, F. Gürgen, A. A. Salah, “GANN Approach for ECG Feature Selection in Rulebased Arrythmia Classification”, Neural Network World (SCIE), 2014.
 O. Şakar, O. Kurşun, F. Gürgen, ”Ensemble Canonical Correlation Analysis”, Applied Intelligence, Vol 40, March, pp. 291304, 2014 [SCI].
 O. Şakar, O. Kurşun, H. Şeker, F. Gürgen, ”Combining Multiple Clusterings for Protein Structure Prediction“ published in Intl J. of Datamining and Bioinformatics, 2014 [SCIE].
 B. Erdogdu Sakar, M. E. Isenkul, C. O. Sakar, A. Sertbas, F. Gurgen, S. Delil, H. Apaydin, O. Kursun, "Collection and Analysis of a Parkinson Speech Dataset with Multiple Types of Sound Recordings", IEEE Journal of Biomedical and Health Informatics, 2013 [SCI].
 D. Ayvaz, H. Topçuoğlu, F. Gürgen, “Performance Evaluation of Evolutionary Heuristics in Dynamic Environments”, Applied Intelligence, Vol 37, No 1, July, pp. 130144, (2012) [SCI].
 Gonen G. B., Gonen M., Gurgen F. “Probabilistic and Discriminative Groupwise Feature Selection Methods for Credit Risk Analysis” Exp. Sys. with Appl., Vol 39 Issue 14 pp 1170911717, 2012 [SCIE].
 F. Gürgen, Z. Zengin, F. Varol, “Intrauterine Growth Restriction (IUGR) Risk Decision Based on Support Vector Machines”, Expert Systems with Applications, 39, pp. 28722876, 2012 [SCIE].
 O. Şakar, O. Kurşun, F. Gürgen, ”A Feature Selection Method Based on Kernel Canonical Analysis and MinimumRedundancy MaximumRelevance Filter Method”, Expert Systems with Applications, 39, pp. 34323437, 2012 [SCIE].
 Arıkan U., Gurgen F., ”Discrimination Ability of Time Domain Features and Rules for ECG Arrythmis Classification”, Math and Comp Appl., Vol17, No2, pp.111120, 2012.
 G. Derelioğlu, F. Gürgen, “Knowledge Discovery Using Neural Approach for SME’s Credit Risk Analysis Problem in Turkey” Expert Systems with Applications, 38, pp. 93139318, 2011 [SCIE].
 O. Kursun, C. O. Sakar, O. Favorov, N. Aydin, F. Gurgen, “Using Covariates in Minimum Redundancy Maximum Relevance Feature Selection Method”, Turkish Journal of Electrical Engineering & Computer Sciences, in print 2010 [SCIE].
 F. Güneş, N. Türker, F. Gürgen, “A Consensual Modelling of the Expert Systems Applied to Microwave Devices”, Intl. Journal of RF and Microwave ComputerAided Engineering, in print 2010 [SCIE].
 F. Güneş, N. Türker, F. Gürgen, “A knowledgebased support vector synthesis of the transmission linesfor use in microwave integrated circuits”, Expert Systems with Applications, in print 2010 [SCI].
 Z. Zengin, F. Gurgen, F. Varol, “Intrauterine Growth Restriction (IUGR) Risk Decision Based on Support Vector Machines”, Mathematical and Computational Applications Journal, 200969 2009 [SCIE].
 F. Gunes, N. Turker, F. Gürgen, “Support Vector Design of MicroStrip Lines”, Intl. Journal of RF and Microwave ComputerAided Engineering, 2008 [SCIE].
 M. E. Kaya, F. Gurgen, N. Okay, “A Comparison of Support Vector Machines and Logistic Regression for Credit Risk Analysis”, Intl. Journal of Information Technology (ITIC), 2008.
 F. Gunes, N. Türker, F. Gürgen, “SignalNoise Support Vector Model of a Microwave Transistor”, Intl. Journal of RF and Microwave Computer AidedEngineering, pp.404415, July 2007 [SCIE].
 U. Bayazıt, U. Konur, Ö. Orcay, F. Gürgen, “Predictive Vector Quantization of 3D Mesh Geometry by Representation of Vertices in Local Coordinate Systems”, Journal of Visual Communication and Image Representation, pp. 341353, Vol 18, Issue 4, August 2007 [SCI].
 S. Yumlu, F. Gurgen, N. Okay, “A Comparison of Global, Recurrent and SmoothedPiecewise Neural Models for Turkish Stock Exchange (ISE) Prediction”, Pattern Recognition Letters, 2005.
 L. Ozgur, T. Gungor, F. Gurgen, “Adaptive Antispam Filtering for Agglutinative Languages: a Special Case for Turkish”, Pattern Recognition Letters, 25, pp.18191831, 2004.
 F. S. Gurgen, N. Gurgen, “Intelligent Data Analysis to Interpret Major Risk Factors for Diabetic Patients with and without Ischemic Stroke in a Small Population”, Biomedical Engineering Online (http://www.biomedicalengineeringonline.com/content/2/1/5), March, 2003.
 F. S. Gurgen, N. Guler, F. Varol, “An Intelligent Medical Decision: Antenatal Fetal Risk Assessment by Neurofuzzy Technique Using Doppler Blood Flow Velocity Waveforms from Unbilical and Cerebral Artery”, IEEE Engineering in Medicine and Biology Magazine, Vol 20, No 6, pp 165170, Nov/Dec 2001.
 F. S. Gurgen, N. Guler, F. Varol, “Antenatal Fetal Risk Assessment by Blood Velocity Waveforms Using Discriminant Functions: Umbilical Artery and CerebralUmbilical Ratio”, IEEE Engineering in Medicine and Biology Magazine, Nov/Dec, pp. 8893, 2000.
 F. Gurgen, “Decision Making with Neural Network Based Medical Diagnostic Applications”, IEEE Engineering in Medicine and Biology Magazine, JulyAugust, pp 5559, 1999.
 F. Gunes, H. Torpi, F. S. Gurgen, “Multidimensional Signalnoise Neural Network Model”, IEE Proc. Circuits, Devices and Systems, Vol. 145, No 2, pp. 111117, April 1998.
 F. Gurgen, E. Onal, F. Varol, “The Detection of Intrauterine Growth Retardation from Ultrasonic Examinations using Neural Networks”, IEEE Engineering in Medicine and Biology Magazine, pp. 5559, May 1997.
 F. Gunes, F. S. Gurgen, H. Torpi, “Signal  Noise Neural Network Model for Active Microwave Devices”, IEE Proc. Circuits, Devices and Systems , Vol. 143, pp.18 Feb. 1996.
 I. Cankaya, F. S. Gurgen, C. Guzelis, “Phoneme Recognition by Radial Basis Function Network Using InputOutput Clustering”, TUBITAK ELEKTRIK Turkish Journal of Electrical Engineering, Computer Sciences, Vol 4, 1996.
 F. S. Gurgen, M. Sihmanoglu, F. Varol, “The Assessment of LH Surge for Predicting Ovulation Time using Clinical, Hormonal, and Ultrasonic Indices in Infertile Women with an Ensemble of Neural Networks”, Computers in Biology and Medicine Journal, pp. 405413, Vol. 25, No 4, 1995.
 E. Alpaydin, F. S. Gurgen, “A DomainIndependent Comparison of Kernel Estimators, Perceptrons, and RadialBasis Functions for Classification”, Neural Computing and Applications Journal (Published by SpringerVerlag), Vol. 3, pp. 3849, 1995.
 F. S. Gurgen, U. Unluakin, R. Alpaydin, E. Alpaydin, “Distributed and Local Neural Classifiers for Phoneme Recognition”, Pattern Recognition Letters 15, pp. 11111118, The Netherland, Nov 1994.
 F. S. Gurgen, S. Sagayama, S. Furui, “A study of Line Spectrum Pairs Representation for speech recognition”, Ins. of Elec. Information and Comm. Engs. (IEICE) Transc. of Japan, pp. 98102, Jan, 1992.
 F. S. Gurgen, C.S. Chen, “Speech enhancement by FourierBessel coefficients of speech and noise”, IEE Proceedings Communications, Speech and Vision, Volume 137, Part l, Number 5, pp. 290294, October 1990.

Springer Verlag LNCS Proc.: (SCIE)
 G. Derelioğlu, F. Gürgen, “A MLP Based PD Estimation Model For SME Credits”, ISCIS Springer Verlag LNCS, 2009.
 G. Derelioğlu, F. Gürgen, “A Neural Approach for SME's Credit Risk Analysis in Turkey”, Machine Learning Data Mining (MLDM 2009) Conf., LNAI, 2009.
 H. T. Oguz, F. Gürgen, “HMM based Credit Risk Analysis”, ISCIS 2008 (LNCS) Proc. 2008.
 A. Yalçın, Z. Erdem, F. Gürgen, “Ensemble Based SVM Classifiers for Changing Environments”, appers in ISCIS Springer Verlag LNCS Proc., 2007.
 D. Ayvaz, H. Topçuoğlu, F. Gürgen, “Hybrid Techniques for Dynamic Optimization Problems”, ISCIS Springer Verlag LNCS Proc. (SCIE) 2006.
 B. Karaoğlu, H. Topçuoğlu, F. Gurgen, “Evolutionary Algorithms for Local Area Management”, EVOCOMNET Springer Verlag LNCS Proc., 2005 (SCIE).
 Z. Erdem, R. Polikar, F. Gurgen, N. Yumusak, “Ensemble of SVMs Classifier for Incremental Learning”, Multiple Classifier Systems (MCS) Springer Verlag LNCS Proc., 2005 (SCIE).
 L. Ozgur, T. Gungor, F. Gurgen, “Spam Mail Detection Using Artificial Neural Network and Bayesian Filter”, IDEAL04, Springer Verlag LNCS Proc., 2004 (SCIE).
 R. Soğancı, F. Gurgen, H. Topçuoğlu, “Parallel Implementation of a VQbased Textindependent Speaker Identification”, ADVIS 2004 Springer Verlag LNCS Proc., 2004 (SCIE).
 M. Şehirli, F. Gurgen, S. İkizoğlu, “Performance Evaluation of Digital Audio Watermarking Techniques Designed in Time, Frequency and Cepstrum Domains”, ADVİS 2004 Springer Verlag LNCS Proc., 2004 (SCIE).
 N. Guler, F. Gurgen, “The effects of data properties on local, piecewise, global, mixture of experts and boundaryoptimized classifiers for medical decision making”, Intl. Sym. on Computer and Information SciencesISCIS 2004 Proc. (SCIE).
 S. Yumlu, F. S. Gurgen, N. Okay, “Financial Time Series Prediction Using Mixture of Experts”, Computer and Information SciencesISCIS 2003 (18th Intl Sym) Proceedings, ISBN 3540204091 Springer Verlag, 2003 (SCIE).

Chapters in Textbooks
 M. E. Kaya, F. Gurgen, N. Okay, “An Analysis of Support Vector Machines for Credit Risk Modeling”, Applications of Data Mining in EBusiness and Finance, Vol. 177, Frontiers in Artificial Intelligence and Applications, Edited by C. Soares, Y. Peng, J. Meng, T. Washio and Z.H. Zhou, pp. 2533, 2008.
In the U.S.:
 S. Yumlu, F. S. Gürgen, N. Okay, “Financial Time Series Prediction Using Mixture of Experts”, ISCIS2003 Proceedings, Edited by Springer Verlag, 2003.
 F. S. Gurgen, F. G. Varol, E. Alpaydin, Ö. Alper, “Decision Making using Statistical Decision Theory and Neural Networks in Medical Diagnostic Applications”, Chapter in Computer Techniques in Medical and Biotechnology Systems, for Kluwer International Series in Engineering, Technology and Applied Science, Edited by Cornelius T. Leondes, 2002.
 S. F. Gurgen, E. Alpaydin, “Comparison of Several Different Approaches to Neural Network System Implementations and Their Applications to Optical Character Recognition and Speech Classification”, Chapter in NEURAL NETWORK SYSTEMS TECHNIQUES AND APPLICATIONS, Edited by Cornelius T. Leondes, pp. 6188, 1998.
 R. Alpaydin, U. Unluakin, F. S. Gurgen, E. Alpaydin, “Distributed and Local Classifiers for Phoneme recognition”, Speech Recognition and Coding, New Advances and Trends, Edited by A. J. R. Ayuso, J. M. L. Soler, NATO ASI series, pp. 485488, 1995.
 N. Guler, F. Gurgen, F. Varol, “Decision of Normal and Growth Retarded Pregnancies by Discriminant functions Using Umbilical Arterial Blood Flow Velocities”, Advances in Intelligent Systems and Computer Science, World Sci Eng. Soc. Press (ISBN: 9608052165), pp.186191, 1999.
 M. Ballan, F. Gurgen, “Gradient Based Fingerprint Verification Using Principal Components”, Advances in Intelligent Systems and Computer Science, World Sci Eng. Soc. Press (ISBN: 9608052165), pp.191196, 1999.

Technical report
 M. Yagci, F. Gurgen, "Shared memory parallel matrix completion approaches for personalized pairwise learning to rank", Technical Report, FBE/CMPE01/20163, BOUN, 2016
 W. Lin, M. Orgun, F. S. Gurgen, “An Application of Hidden Markov Model Analysis for Mining Discretevalued Time Series Databases”, Macquarie Computing Reports, Report No. C/TR9906, September 1999.
In Turkiye:
 F. Gürgen, “Konusma isaretinin yapay sinir aglari ile taninmasi”, Mühendis gözüyle yapay sinir aglari, Edited by Mert Sungur, pp. 8792, 1995.

Edited books
 “TAINN’2004 13th Turkish symposium on Artificial Intelligence and Neural Networks,” Edited by Güzeliş C., Alpaydin E., Yakhno T., Gurgen S. F., June 2004.
 “TAINN’96 5th Turkish symposium on Artificial Intelligence and Neural Networks,” Edited by Alpaydin E., Cilingiroglu U., Gurgen S. F., Guzelis C., June 1996.

Journals in Turkey
 M. Ballan, F. Gurgen, “On the Principal Component Based Fingerprint Classification Using Directional Images”, Mathematical & Computational Applications, Vol. 4, No. 13, pp. 9198, 1999.
 H. Torpi, F. Gurgen, F. Gunes, “Neural Network Approach for the Characterization of the Active Microwave Devices”, Mathematical & Computational Applications, Vol. 1, No. 1, pp. 4449, 1996.
 E. Onal, F. Gurgen, F. Varol, “The Decision of Intrauterine Growth Retardation From Ultrasonographic Examinations with Neural Networks”, Mathematical & Computational Applications, Vol. 1, No. 1, pp. 113118, 1996.
 F. G. Varol, F. Gurgen, M. Sıhmanoğlu, “The assessment of LH surge with an ensemble of neural networks”, İstanbul Üniversitesi, İstanbul Tıp Fakültesi Mecmuası, 1994.

International conferences
 M. Yagci, T. Aytekin, F. Gurgen, “On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems”, In proc. ACM RecSys, 11th conference on Recommender Systems, Italy, 2017
 M. Yagci, F. Gurgen, “A ranker ensemble for multiobjective job recommendation in an item cold start setting”, In proc. ACM RecSys Challenge, 11th conference on Recommender Systems, Italy, 2017
 M. Yagci, T. Aytekin, H. Turen, F. Gurgen, “Parallel personalized pairwise learning to rank”, In proc. of the 3rd EURO conference, DA2PL’2016 (From Multiple Criteria Decision Aid to Preference Learning), Germany, 2016.
 M. Yagci, T. Aytekin, F. Gurgen, “An Ensemble Approach for Multilabel Classification of Item Click Sequences”, In proc. of the 9th ACM Recommendation Systems Conference Proceedings, Vienna, Sep. 2015.
 H. Kaya, T. Özkaptan, F. Gürgen, A. A. Salah, “Canonical Correlation Analysis and Local Fisher Discriminant Analysis based MultiView Acoustic Feature Reduction for Physical Load Prediction“, InterSpeech 2014 Proc., 2014.
 S. Yumlu, F. Gurgen, A. T. Cemgil, N. Okay, “Auxilary Particle Filtering Based Multiple Changepoint Detection in Volatility Models”, AIA Proc. 2013.
 Kaya H., Kursun O., Gurgen S.F.: Posterior Probability Convergence of kNN Classification and KMeans Clustering, In: E. Gelenbe, R. Lent (Eds.), Proceedings of the 27th International Symposium on Computer and Information Sciences ISCIS 2012, pp. 171179 (Oct. 2012, Paris)
 Kaya H., Tufekci P., Gurgen S.F.: Local and Global Learning Methods for Predicting Power of a Combined Gas & Steam Turbine, Proceedings of the International Conference on Emerging Trends in Computer and Electronics Engineering ICETCEE 2012, pp. 1318 (Mar. 2012, Dubai)
 U. Konur and F. S. Gürgen, "Curvaturebased Multiscale Classification of Fetal Skulls for Spina Bifida Detection", Applied Informatics for Health and Life Sciences 2013, Istanbul, Turkey, 911 September 2013.
 U. Konur, F. Gürgen, F. Varol, “A twoview ultrasound CAD system for spina bifida detection using Zernike features", SPIE Medical Imaging Proc., Florida, 2011.
 U. Konur and F. S. Gürgen, "Computer Aided Diagnosis for Spina Bifida", 5th International symposium on Health Informatics and Bioinformatics (HIBIT 2010), Belek, Antalya, 2022 Apr 2010.
 S. Yümlü, F. Gürgen, “Istanbul Stock Exchange (ISE) 100 Prediction Using Support Vector Predictors (SVP), AIA Poroc. 2011.
 O. Şakar, O. Kurşun, H. Şeker, F. Gürgen, “Title Prediction of Protein Subnuclear Location by Clustering mRMR Ensemble Feature Selection”, Intl Conf on Pattern Recognition (ICPR) 2010, Istanbul.
 Ö. Özcan, F. Gürgen, “Fuzzy Support Vector Machines for ECG Arrhythmia Detection”, Intl Conf on Pattern Recognition (ICPR) 2010, Istanbul.
 U. Konur and F. Gürgen, “Computer Aided Diagnosis for Spine Bifida”, HIBIT 2010.
 C. O. Şakar, O. Kurşun, H. Şeker, F. Gürgen, N. Aydın, O. Favorov, “Parallel Interacting Multiview Learning: An Application to Prediction of Protein Subnuclear Location,” Information Tech. And Appl. İn Biomedicine (ITAB 2009) Proc., 2009.
 G. Derelioğlu, F. Gürgen, “A MLP Based PD Estimation Model for SME Credits,” ISCIS 2009 Proc., 2009.
 N. T. Tokan, F. Güneş, F. Gürgen, “Consensual Modeling for Synthesis of the Microwave Transmission Lines,” PIERS 2009 Proc., Moscow, 2009.
 F. Güneş, N. Türker Tokan, F. Gürgen, “A Knowledgebased Support Vector Synthesis of the Transmission Lines for Use in Microwave Integrated Circuits,” PIERS 2009 Proc., Moscow, 2009.
 F. Varol, F. Gurgen, Z. Zengin, “Evaluation of Doppler Parameters in IUGR,” South East European Congress in Perinatal Medicine Proc, pp. 42, Belgrad, Serbia, 2009.
 H. T. Özgür, F. Gürgen, “Credit Risk Analysis using Hidden Markov Models,” ISCIS 2008 Proc., 2008.
 U. Konur, U. Bayazıt, H. Ateş, F. Gürgen, “Spectral Coding of Mesh Geometry with a Hierarchical Set partitioning Algorithm,” VCIP Proc., 2008.
 A. Uyar Özkaya, F. Gürgen, “Arrthymia Classification Using Serial Fusion of Support vector Machines and Logistic Regression,” 4th IEEE Workshop on Intelligent Data Acqusition and Advanced Computing Systems: Technology and Applications (IDAACS 2007) Proc. DortmundGermany, 2007.
 A. Uyar Özkaya, F. Gürgen, “Arrhythmia Classification with ConfidenceDriven Serial Fusion Based on Support Vector Machines,” Learning and Intelligent Optimization 2007 Workshop Proc., TrentoItaly, 2007.
 A. Şentürk, F. Gürgen, “The Usage of Independent Component Analysis for Robust Speaker Recognition,” AIA Proc. 2006.
 D. Ayvaz, H. Topçuoğlu, F. Gürgen, “A Comparative Study of Evolutionary Optimization Techniques in Dynamic Environments,” GECCO Proc. 2006.
 U. Altunkaya, S. İkizoğlu, F. Gürgen, “Neural Network Based Data Filtering for Position Tracking of an Underwater Vehicle,” Proc. of ICINCO 2006.
 U. Bayazıt, Ö. Orcay, U. Konur, F. Gürgen, “Predictive Vector Quantization of 3D Polygonal Mesh Geometry by Representation of Vertices in Local Coordinate Systems,” EUSIPCO2005 Proc., 2005.
 N. Güler, F. Gürgen, G. Arıkan, “Fuzzy Sources of Intranatal Risk Assessment Preductal Oxygen Saturation and Pulse Oximetry Measurements,” ICANNICONIP2003, Proc. 2003.
 Y. Türkeli, U. Sezerman, F. Gürgen, “Information Excavation from Scalefree Genetic Networks Using Attributed Graph Matching,” ICANNICONIP2003, Proc. 2003.
 N. Güler, F. Gürgen, G. Arıkan, “Intranatal risk assessment of fetus by Using Pulse Oximetry and Intelligent Decision Techniques,” EMBEC2002 Proc. Pp. 666667, 2002.
 N. Güler, F. Gürgen, “Antenatal Risk Assessment by Combination of Classifiers,” EMBEC2002 Proc. Pp. 15401541, 2002.
 F. Gurgen, N. Guler, F. Varol, “An Intelligent Medical Decision: Antenatal Fetal Risk Assessment by Neurofuzzy Technique Using Doppler Blood Flow Velocity Waveforms from Umbilical and Cerebral Artery,” IJCNN2001 Proc., 2001.
 N. Guler , O. T. Yıldız, F. Gurgen, F. Varol, E. Alpaydın, “Discriminant Functions and Decision Tree Induction Techniques for Antenatal Fetal risk Assessment,” IJCNN2001 Proc., 2001.
 N. Güler, O. Bük, F. Gürgen, G. Arıkan, “The Diagnosis Of Intranatal Adverse Conditions By Using Local and Global Information Content,” ISCIS2001 Proc., 2001.
 E. Güneş, F. Gurgen, S. İkizoğlu, “MusicSpeechSilenceNoise Discrimination Using Combination of Time and Frequency Domain Features,” ISCIS2001 Proc., 2001.
 S. O. Merey, F. Gurgen, N. Gurgen, “The use of major risk factors for computerbased distinction of diabetic patients with ischemic stroke and without stroke,” IEEE EMB2001 Proc., 2001.
 N. Guler, F. Gurgen, G. Arıkan, “Using Local Information for Diagnosing Intranatal Adverse Conditions by Pulse Oximetry,” IEEE EMB2001 Proc., 2001.
 N. Guler, O. T. Yıldız, F. Gurgen, F. Varol, E. Alpaydın, “A Comparison of Discriminant Functions and Decision Tree Induction Techniques for Evaluation of Antenatal Fetal Risk Assessment", in Proc. of ISCIS 2000.
 M. Ballan, F. Gurgen, “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," inProc. of IEEE EMB Workshop, Işık Univ. 2000.
 M. Ballan, F. Gurgen, “A Fuzzy K_Means Classification Method for Limited Number of Ground Penetrating Radar (GPR) Data,” in Proc. of Eng. In Intelligent Systems (EIS), 2000.
 N. Guler, F. Gurgen, F. Varol, “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.
 N. Guler, F. Gurgen, F. Varol, “Diagnosis of Fetal Hypoxia by Discriminant Functions Using Umbilical Arterial Blood Flow Velocity Waveforms, “ 2nd Intl. Sym. Math. And Comp. Appl. Proc., pp.372378, 1999.
 M. Ballan, F. Gurgen, “On the Relationship of Nearest Neighbor Concept and Fuzzy Membership,” ISCIS’1999 Proc., 1999.
 M. Ballan, F. Gurgen, “On the Principal Component Based Fingerprint Classification Using Directional Images,” 2nd Intl. Sym. Math. And Comp. Appl., Mathematical & Computational Applications, Vol. 4, No. 13, pp. 9198, 1999.
 F. Gurgen, “On the Decision Making in Neural Network Based Medical Diagnostic Applications,” Systemics, Cybernetics and Informatics (SCI’98 and ISAS’98) proc. 1998.
 G. Arslan, F. Gurgen, F. A. Sakarya, “Application of Neural Networks to Bearing Estimation,” IEEE proc. of ICECS’96, Rodos 1996.
 F. S. Gurgen, M. Sihmanoglu, E. Alpaydin, “Learning Speech Dynamics by Neural Networks with Delay Elements,” Proc. of ICT’96 Intl. Conf on Telecommunications, vol. I, pp., 1996.
 F. Günes, F. Gürgen, H. Torpi, “Neural Network modeling of the parameters of microwave transistors, ” Proc. of ICT’96 Intl. Conf on Telecommunications, vol. II, pp. , 1996.
 M. Sihmanoglu, F. S. Gurgen, E. Alpaydin, “Phoneme Recognition with Feedback Neural Networks,” Intl. Symposium on Comp. Infor. Sci. (ISCIS X) Proc., 1995.
 Ç. Iltemir, F. S. Gurgen, Ç. Güler, “Respiratory Sound Classification by Neural Networks,” Intl. Symposium on Comp. Infor. Sci. (ISCIS X) Proc., 1995.
 F. Günes, F. Gürgen, H. Torpi, “Neural Network Simulation of the signal and noise parameters of microwave transistors,” Progress in Electromagnetic Research Symposium Proc. (PIERS’95), 1995.
 F. S. Gurgen, R. Favero, “Multiresolution Neural Networks for Speech Recognition,” appears in ECCDT’95 Proc. (Euorpean Conf. on Circuits, Devices and Theory), 1995.
 F. Gunes, S. F. Gurgen, H. Torpi, “Simulation of Active Microwave Devices with Signal  Noise Neural Network Model,” ECCDT’95, 1995.
 F. S. Gurgen, M. Sihmanoglu, F. Varol, “Ovulation Prediction for Infertility and Invitro fertilization: A Neurocomputational Approach," Intl. Symposium on Computer and Information Sciences (ISCIS IX), pp. 471478, 1994.
 F. S. Gurgen, H. C. Choi, “On the framebased and segmentbased nonlinear transformation for speaker adaptation,” Australian Intl. Conf. on Speech Science and Technology (SST’94), 1994.
 F. S. Gurgen, T. Fan, J. P. Vonwiller, “On the analysis of phonemebased features for gender identification with neural networks,” Australian Intl. Conf. on Speech Science and Technology (SST’94), 1994.
 F. S. Gurgen, J. M. Song, R. King, “A continuous HMM based preprocessor for modular speech recognition neural networks,” Intl. Conf. on Spoken Language Processing (ICSLP’94), 1994.
 R. F. Favero, F. S. Gurgen, “Using Wavelet Dyadic Grids and Neural Networks for Speech Recognition,” Intl. Conf. on Spoken Language Processing (ICSLP’94), 1994.
 R. Alpaydin, U. Unluakin, F. Gurgen, E. Alpaydin, “Comparing Distributed and Local Classifiers for the recognition of Japanese Phonemes,” Proc. of IJCNN93Nagoya, IEEE Intl. Joint Conf. of Neural Networks (IJCNN93), vol. I, pp. 239242, 1993.
 U. Unluakin, R. Alpaydin, F. S. Gurgen, E. Alpaydin, “Distributed and Local Neural Classifiers for Phoneme Recognition," Intl. Symposium on Computer and Information Sciences (ISCISVIII), 1993.
 R. Alpaydin, U. Unluakin, F. S. Gurgen, E. Alpaydin, “Distributed and Local Neural Classifiers for the Recognition of Japanese Phonemes," NATOASI 93 Meeting "New Advances and Trends in Speech Recognition," Proceedings, Granada, Spain, 1993.
 F. S. Gurgen, “The effect of Neighboring on the Learning of Phoneme recognition Neural Networks," Intl Conf on DSP Applications and Technology ICSPAT'93, 1993.
 H. Caglar, F. S. Gurgen, A. N. Akansu, “A New PRQMF Design Technique with Bernstein Polynomial Approximation," Intl Conf on DSP Applications and Technology ICSPAT'93, 1993.
 F. S. Gurgen, “The improvement of phoneme recognition performance by neural network architectures," Intl Conf on DSP Applications and Technology (ICSPAT) Proceedings, Nov. 1992.
 F. S. Gurgen, “Phoneme recognition neural networks," Intl. Symposium on Computer and Information Sciences (ISCISVII) Proceedings, pp. 569572, Nov. 1992.
 F. S. Gurgen, K. Aikawa, K. Shikano, “On the training strategies of speech recognition neural networks," IEEE Intl. Joint Conf. on Neural Networks (IJCNN'92) Proceedings, pp. IV(749754), Baltimore 1992.
 F. S. Gurgen, K. Aikawa, K. Shikano, “Phoneme recognition with neural networks using a novel fuzzy training algorithm,” IEEE Intl. Joint Conf. on Neural Networks (IJCNN) Proceedings, pp. 572577, Singapore 1991.
 F. S. Gurgen, K. Aikawa, K. Shikano, “The improvement of phoneme recognition performance of a neural network using Fuzzy training,” SYNAPSE’91, SENRI Intl. Inf. Inst. Japan 1991.
 F. S. Gurgen, S. Sagayama, S. Furui, “Line Spectrum Pairs Representation for speech recognition,” Intl. Conf. on Spoken Lang. Proc. (ICSLP) Kobe Nov. 1990.
 F. S. Gurgen, C. S. Chen, “Single channel noise suppression with FourierBessel coefficients representation of speech and noise,” URSI Intl. Conf. on Signals and Systems 1989.
 F. S. Gurgen, C. S. Chen, “On the implicit spectral properties of FourierBessel coefficients representation of speech signal,” URSI Intl. Conf. on Signals and Systems 1989.
 F. S. Gurgen, C. S. Chen, “Noise suppression with two microphone signals using FourierBessel coefficients of speech and noise,” IEEE Digital Signal Processing Workshop Sept 1988.

National conferences
 M. Yagci, T. Aytekin, F. Gurgen, "Balanced random forest for imbalanced data streams", in IEEE 24st Signal Processing and Communications Applications Conference, May 2016
 M. Yagci, E. Erdil, A.O. Argunsah, D. Unay, M. Cetin, L. Akarun, F. Gurgen, "Biomedical image time series registration with particle filtering", in IEEE 21st Signal Processing and Communications Applications Conference, pp.14, April 2013
 U. Konur, F. Gürgen ve F. Varol, "Elips Oturtma ve Aktif Görünüm Modelleri Kullanarak Fetal Kafatası İmgelerini Bölütleme", IEEE 20. Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SİU); Ölüdeniz, Fethiye, Muğla; Nisan 2012.
 U. Konur, U. Bayazıt, H. Ateş, F. Gürgen, “Tel File Geometrilerinin Sıradüzensel Küme Bölüntüleme ile Spektral Kodlaması,” Sinyal İşleme Uygulamaları (SİU) Kurultayı Proc., 2007.
 U. Konur, U. Bayazıt, F. Gürgen, “Spektral Yöntemler ve Küme Bölüntüleme Yaklaşımlarıyla 3B Nesne Bilgilerinin Sıkıştırılması, SİU Proc. 2006.
 A. Şentürk, F. Gürgen, “Independent Component Analysis as a FrontEnd for Speaker Recognition,” TAINN 2004 Proc., 2004.
 U. Ayan, U. Bayazıt, F. Gürgen, “Veri Tabanlarının Eniyi Birincil Sorgulama Yöntemi ile Çoklu Yollar Üzerinden Sorgulanması,” TAINN 2004 Proc., 2004.
 L. Özgür, T. Güngör, F. Gürgen, “Yapay Sinir Ağlarıyla Uyarlamalı Türkçe Antispam Süzgeçleme,” TAINN 2003 Proc., 2003.
 N. Güler, F. Gürgen, “Çoğul Sınıflayıcı ile Fetüsün Hipoksik Risk Koşullarının Belirlenmesi,” Biyomedikal Mühendisliği Ulusal Toplantısı 2002, BİYOMUT 2002, pp.141142, 2002.
 N. Güler, F. Gürgen, C. Sarmemet, İ. Karslı, “EKG ve Ultrases İzlenmesi için Uzaktan Danışma Sistemi Tasarımı,” Biyomedikal Mühendisliği Ulusal Toplantısı 2002, BİYOMUT 2002, pp. 9798, 2002.
 N. Guler, F. Gurgen, F. Varol, “Diabetes Mellitus' lu NonEmbolik Stroklu ve Stroksuz Olgularda Riski Yüksek Ayırıcı Faktörlerin Bulunması," in BİYOMUT 2000 Proc.
 S. Merey, F. Gurgen, N. Gurgen, “İntranatal Fetal Kan Hemoglobin Miktarının Yansımalı Darbe Oksimetresi ile Ölçümü ve De?erlendirilmesi, " in BİYOMUT 2000 Proc.
 N. Guler, F. Gurgen, F. Varol, “A Neuro Fuzzy Decision Technique For Antenatal Fetal Risk Assessment Using the Blood Flow Velocity Waveforms from Umbilical and Cerebral Artery,” in Proc. of TAINN 2000, 2000.
 M. Ballan, F. Gurgen, “Boyutu Küçültülmüş Çok Boyutlu Verilerin En Yakın Komşu Yöntemi ile Sınıflandırılması ve Bulanık Karar Verme,” in Proc. of SIU’2000, 2000.
 A. T. Cemgil, F. Gurgen, “Muzik Aleti Seslerinin Yapay Sinir Aglari ile Siniflandirilmasi,” Proc. of SIU’97, 1997.
 H. Torpi, F. Gurgen, F. Gunes, “Neural Network Approach for the Characterization of the Active Microwave Devices,” I. Symposium on Mathematical & Computational Applications, Nov. 1996.
 E. Onal, F. Gurgen, F. Varol, “The Decision of Intrauterine Growth Retardation From Ultrasonographic Examinations with Neural Networks,” I. Symposium on Mathematical & Computational Applications, Nov. 1996.
 I. Cankaya, F. Gurgen, C. Guzelis, “Phoneme Recognition by Radial Basis Function Network using InputOutput Clustering,” Fifth Turkish Artificial Intelligence and Neural Networks Symposium Proceedings, pp. 101106, June, 1996.
 Ç. Iltemir, Ç. Güler, F. Gürgen, “Solunum seslerinin yapay nöron aglari kullanarak siniflandirilmasi,” Sinyal Isleme ve uygulamalari Kurultayi kitapçigi, SIU’95, 1995.
 H. Torpi, F. Günes, F. Gürgen, “Gürültü ve sinyal parametrelerinin yapay nöron agi ile simulasyonu,” Sinyal Isleme ve uygulamalari Kurultayi kitapçigi, 1995.
 M. Sihmanoglu, F. Gürgen, E. Alpaydin, “Konusma isaretinin yapay nöron aglari kullanilarak taninmasinda geribeslemenin etkisi,” Sinyal Isleme ve uygulamalari Kurultayi kitapçigi, SIU’95, 1995.
 M. Sihmanoglu, F. Gürgen, E. Alpaydin, “The effect of feedback in phoneme recognition through the use of artificial neural networks,” TAINN’95, 4th. Türk Yapay Zeka ve Yapay Sinir Ağları Sempozyumu kitapciğı, pp. 271279, 1995.
 M. Sihmanoglu, F. Gürgen, E. Alpaydin, “Yapay Nöron Aglarinda geribeslemenin fonem tanınmasında etkileri” Otomasyon Teknolojileri 95 Sempozyumu kitapçigi, 1995.
 U. Unluakin, F. S. Gurgen, “A Comparison of Classical Classification techniques and Neural Networks," 5th Electrical Engineers Assembly Symposium, 1993.
 L. Basturk, F. S. Gurgen, “On the Optimization and Sensitivity of parameters of a MultiLayer Perceptron," 5th Electrical Engineers Assembly Symposium, 1993.
 U. Unluakin, F. S. Gurgen, “A Comparative Study of various Objective Functions for Feedforward Neural Networks," Second Turkish Artificial Intelligence and Neural Networks Symposium Proceedings, June, 1993.
 S. Oge, F. S. Gurgen, “On the Coding methods of Bidirectional Associative Memory," Second Turkish Artificial Intelligence and Neural Networks Symposium Proceedings, June, 1993.
 O. Cetinoglu, S. Erdal, F. Gurgen, “A/D and D/A converters for Speech Processing Applications in Personal Computers," proceedings of The First Signal Processing and Applications Symposium, 1993.
 H. Caglar, F. S. Gurgen, A. N. Akansu, “Twoband PRQMF design using Bernstein Polynomials," proceedings of The First Signal Processing and Applications Symposium, 1993.
 F. S. Gurgen, “Phoneme recognition with Neural Networks," First Turkish Artificial Intelligence and Neural Networks Symposium Proceedings, June, 1992.
 F. S. Gurgen, C. S. Chen, “The extraction of features of speech signals with KarhunenLoeve Transformation and FourierBessel Coefficients," Electrical Engineers Assembly Symposium, Sept., 1989.
