Prof. Dr. SADIK FİKRET GÜRGEN

ATLAS Yayın Analitiği

Makaleler 52

1. GNNMutation: a heterogeneous graph-based framework for cancer detection

Özcan Şimşek N. Ö., ÖZGÜR TÜRKMEN A., GÜRGEN S. F.

BMC Bioinformatics , cilt.26, sa.1, 2025 (SCI-Expanded, Scopus)

2. Network Congestion Aware Multiobjective Task Scheduling in Heterogeneous Fog Environments

Altin L., TOPCUOĞLU H. R., GÜRGEN S. F.

IEEE Transactions on Industrial Informatics , cilt.20, sa.2, ss.3015-3024, 2024 (SCI-Expanded, Scopus)

3. A novel gene selection method for gene expression data for the task of cancer type classification

ÖZCAN ŞİMŞEK N. Ö., ÖZGÜR TÜRKMEN A., GÜRGEN S. F.

Biology Direct , cilt.16, sa.1, 2021 (SCI-Expanded, Scopus)

4. Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting

Tunc H. C., Sakar C. O., Apaydin H., SERBES G., GÜNDÜZ A., Tutuncu M., et al.

Medical and Biological Engineering and Computing , cilt.58, sa.11, ss.2757-2773, 2020 (SCI-Expanded, Scopus)

5. A Meta-Algorithm for Improving Top- N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering

YAĞCI A., Aytekin T., GÜRGEN S. F.

International Journal of Pattern Recognition and Artificial Intelligence , cilt.34, sa.3, 2020 (SCI-Expanded, Scopus)

6. Parallel pairwise learning to rank for collaborative filtering

YAĞCI A., Aytekin T., GÜRGEN S. F.

Concurrency and Computation: Practice and Experience , cilt.31, sa.15, 2019 (SCI-Expanded, Scopus)

7. Statistical representation models for mutation information within genomic data

ÖZCAN ŞİMŞEK N. Ö., ÖZGÜR TÜRKMEN A., GÜRGEN S. F.

BMC Bioinformatics , cilt.20, sa.1, 2019 (SCI-Expanded, Scopus)

8. Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream

YAĞCI A., Aytekin T., GÜRGEN S. F.

Engineering Applications of Artificial Intelligence , cilt.58, ss.171-184, 2017 (SCI-Expanded, Scopus)

9. Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images

Konur U., GÜRGEN S. F., Varol F., AKARUN ERSOY L.

Knowledge-Based Systems , cilt.85, ss.80-95, 2015 (SCI-Expanded, Scopus)

10. Random discriminative projection based feature selection with application to conflict recognition

Kaya H., Özkaptan T., Salah A. A., GÜRGEN S. F.

IEEE Signal Processing Letters , cilt.22, sa.6, ss.671-675, 2015 (SCI-Expanded, Scopus)

11. Bayesian changepoint and time-varying parameter learning in regime switching volatility models

Yümlü M. S., GÜRGEN S. F., Cemgil A. T., OKAY AKMAN N.

Digital Signal Processing: A Review Journal , cilt.40, sa.1, ss.198-212, 2015 (SCI-Expanded, Scopus)

12. Ensemble canonical correlation analysis

Sakar C. O., Kursun O., GÜRGEN S. F.

Applied Intelligence , cilt.40, sa.2, ss.291-304, 2014 (Scopus)

13. Combining multiple views: Case studies on protein and arrhythmia features

Sakar C. O., Kursun O., Seker H., GÜRGEN S. F., Aydin N., Favorov O.

Engineering Applications of Artificial Intelligence , cilt.28, ss.174-180, 2014 (SCI-Expanded, Scopus)

14. Combining multiple clusterings for protein structure prediction

Sakar C. O., Kursun O., Seker H., GÜRGEN S. F.

International Journal of Data Mining and Bioinformatics , cilt.10, sa.2, ss.162-174, 2014 (SCI-Expanded, Scopus)

15. GA-NN approach for ECG feature selection in rule based arrhythmia classification

Aslantaş G., GÜRGEN S. F., Salah A. A.

Neural Network World , cilt.24, sa.3, ss.267-283, 2014 (SCI-Expanded, Scopus)

16. Collection and analysis of a Parkinson speech dataset with multiple types of sound recordings

Sakar B. E., İSENKUL M. E., Sakar C. O., SERTBAŞ A., GÜRGEN S. F., Delil S., et al.

IEEE Journal of Biomedical and Health Informatics , cilt.17, sa.4, ss.828-834, 2013 (SCI-Expanded, Scopus)

17. Probabilistic and discriminative group-wise feature selection methods for credit risk analysis

Bozkurt Gönen G., Gönen M., GÜRGEN S. F.

Expert Systems with Applications , cilt.39, sa.14, ss.11709-11717, 2012 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

18. Performance evaluation of evolutionary heuristics in dynamic environments

Ayvaz D., TOPCUOĞLU H. R., GÜRGEN S. F.

Applied Intelligence , cilt.37, sa.1, ss.130-144, 2012 (SCI-Expanded, Scopus)

19. A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method

Sakar C. O., Kursun O., GÜRGEN S. F.

Expert Systems with Applications , cilt.39, sa.3, ss.3432-3437, 2012 (SCI-Expanded, Scopus)

20. Intrauterine growth restriction (IUGR) risk decision based on support vector machines

GÜRGEN S. F., Zengin Z., Varol F.

Expert Systems with Applications , cilt.39, sa.3, ss.2872-2876, 2012 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Discrimination ability of time-domain features and rules for arrhythmia classification

Arikan U., GÜRGEN S. F.

Mathematical and Computational Applications , cilt.17, sa.2, ss.111-120, 2012 (Scopus, TRDizin)

22. Knowledge discovery using neural approach for SME's credit risk analysis problem in Turkey

Dereliolu G., GÜRGEN S. F.

Expert Systems with Applications , cilt.38, sa.8, ss.9313-9318, 2011 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

23. Using covariates for improving the minimum Redundancy Maximum Relevance feature selection method

Kurşun O., Şakar C. O., Favorov O., Aydin N., GÜRGEN S. F.

Turkish Journal of Electrical Engineering and Computer Sciences , cilt.18, sa.6, ss.975-987, 2010 (SCI-Expanded, Scopus, TRDizin)

24. A consensual modeling of the expert systems applied to microwave devices

Güneş F., TÜRKER TOKAN N., GÜRGEN S. F.

International Journal of RF and Microwave Computer-Aided Engineering , cilt.20, sa.4, ss.430-440, 2010 (SCI-Expanded, Scopus)

25. A knowledge-based support vector synthesis of the transmission lines for use in microwave integrated circuits

Güneş F., TÜRKER TOKAN N., GÜRGEN S. F.

Expert Systems with Applications , cilt.37, sa.4, ss.3302-3309, 2010 (SCI-Expanded, Scopus)

26. Intrauterine growth restriction (IUGR) risk decision based on support vector machines

Zengin Z., GÜRGEN S. F., Varol F.

Mathematical and Computational Applications , cilt.15, sa.3, ss.472-480, 2010 (Scopus, TRDizin)

27. Support vector design of the microstrip lines

Güneş F., TÜRKER TOKAN N., GÜRGEN S. F.

International Journal of RF and Microwave Computer-Aided Engineering , cilt.18, sa.4, ss.326-336, 2008 (SCI-Expanded, Scopus)

28. An analysis of support vector machines for credit risk modeling

Kaya M. E., GÜRGEN S. F., OKAY AKMAN N.

Frontiers in Artificial Intelligence and Applications , cilt.177, sa.1, ss.25-33, 2008 (Scopus)

29. Predictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systems

Bayazıt U., Orcay O., Konur U., GÜRGEN S. F.

Journal of Visual Communication and Image Representation , cilt.18, sa.4, ss.341-353, 2007 (SCI-Expanded, Scopus)

30. Signal-noise support vector model of a microwave transistor

Güneş F., TÜRKER TOKAN N., GÜRGEN S. F.

International Journal of RF and Microwave Computer-Aided Engineering , cilt.17, sa.4, ss.404-415, 2007 (SCI-Expanded, Scopus)

31. ISCIS 2005: Preface

Yolum P., GÜNGÖR T., GÜRGEN S. F., ÖZTURAN C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , cilt.3733 LNCS, 2005 (SCI-Expanded, Scopus)

32. A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction

Yümlü S., GÜRGEN S. F., OKAY AKMAN N.

Pattern Recognition Letters , cilt.26, sa.13, ss.2093-2103, 2005 (Scopus)

33. Adaptive anti-spam filtering for agglutinative languages: A special case for Turkish

Özgür L., GÜNGÖR T., GÜRGEN S. F.

Pattern Recognition Letters , cilt.25, sa.16, ss.1819-1831, 2004 (Scopus)

34. Performance evaluation of digital audio watermarking techniques designed in time, frequency and cepstrum domains

Şehirli M., GÜRGEN S. F., İkizoğlu S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , cilt.3261, ss.430-440, 2004 (SCI-Expanded, Scopus)

35. Parallel implementation of a VQ-based text-independent speaker identification

Soǧanci R., GÜRGEN S. F., TOPCUOĞLU H. R.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , cilt.3261, ss.291-300, 2004 (SCI-Expanded, Scopus)

36. Spam mail detection using artificial neural network and Bayesian filter

Özgür L., GÜNGÖR T., GÜRGEN S. F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , cilt.3177, ss.505-510, 2004 (SCI-Expanded, Scopus)

37. The effects of data properties on local, piecewise, global, mixture of experts, and boundary-optimized classifiers for medical decision making

GÜLER BAYAZIT N., GÜRGEN S. F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , cilt.3280, ss.51-61, 2004 (SCI-Expanded, Scopus)

38. Intelligent data analysis to interpret major risk factors for diabetic patients with and without ischemic stroke in a small population

GÜRGEN S. F., Gürgen N.

BioMedical Engineering Online , cilt.2, 2003 (Scopus)

39. Financial time series prediction using mixture of experts

Yumlu M. S., GÜRGEN S. F., OKAY AKMAN N.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , cilt.2869, ss.553-560, 2003 (Scopus)

40. Antenatal fetal risk assessment using a neurofuzzy technique

GÜRGEN S. F., GÜLER BAYAZIT N., Varol F.

IEEE Engineering in Medicine and Biology Magazine , cilt.20, sa.6, ss.165-169, 2001 (SCI-Expanded, Scopus)

41. Antenatal fetal risk assessment by blood-flow velocity waveforms

GÜRGEN S. F., GÜLER BAYAZIT N., Varol F.

IEEE Engineering in Medicine and Biology Magazine , cilt.19, sa.6, ss.88-93, 2000 (SCI-Expanded, Scopus)

42. Decision of normal and growth retarded pregnancies by discriminant functions using umblical arterial blood flows velocity waveforms

GÜLER BAYAZIT N., GÜRGEN S. F., Varol F.

Advances in Intelligent Systems and Computer Science , ss.186-190, 1999 (Scopus)

43. Gradient based fingerprint verification using principal components

Ballan M., GÜRGEN S. F.

Advances in Intelligent Systems and Computer Science , ss.191-196, 1999 (Scopus)

44. Neural-network-based decision making in diagnostic applications

GÜRGEN S. F.

IEEE Engineering in Medicine and Biology Magazine , cilt.18, sa.4, ss.89-93, 1999 (SCI-Expanded, Scopus)

45. On the principal component based fingerprint classification using directional images

Ballan M., GÜRGEN S. F.

Mathematical and Computational Applications , cilt.4, sa.1, ss.91-97, 1999 (Scopus, TRDizin)

46. Multidimensional signal-noise neural network model

Güneş F., TORPİ H., GÜRGEN S. F.

IEE Proceedings: Circuits, Devices and Systems , cilt.145, sa.2-5, ss.111-117, 1998 (SCI-Expanded, Scopus)

47. IUGR detection by ultrasonographic examinations using neural networks

GÜRGEN S. F., Önal E., Varol F. G.

IEEE Engineering in Medicine and Biology Magazine , cilt.16, sa.3, ss.55-58, 1997 (SCI-Expanded, Scopus)

48. Signal-noise neural network model for active microwave devices

Güne F., GÜRGEN S. F., TORPİ H.

IEE Proceedings: Circuits, Devices and Systems , cilt.143, sa.1, ss.1-8, 1996 (Scopus)

49. Comparison of kernel estimators, perceptrons and radial-basis functions for OCR and speech classification

Alpaydin E., GÜRGEN S. F.

Neural Computing & Applications , cilt.3, sa.1, ss.38-49, 1995 (Scopus)

50. The assessment of LH surge for predicting ovulation time using clinical, hormonal, and ultrasonic indices in infertile women with an ensemble of neural networks

GÜRGEN S. F., Şihmanoglu M., Varol F. G.

Computers in Biology and Medicine , cilt.25, sa.4, ss.405-413, 1995 (Scopus)

51. Distributed and local neural classifiers for phoneme recognition

GÜRGEN S. F., Alpaydin R., Ünlüakin U., Alpaydin E.

Pattern Recognition Letters , cilt.15, sa.11, ss.1111-1118, 1994 (Scopus)

52. Speech enhancement by Fourier-Bessel coefficients of speech and noise

GÜRGEN S. F., Chen C.

IEE Proceedings, Part I: Communications, Speech and Vision , cilt.137, sa.5, ss.290-294, 1990 (Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 61

1. Optimization and regularization techniques in androcar design Andromobil Tasariminda Optimizasyon ve Regülarizasyon Teknikleri

Parlak C., GÜRGEN S. F.

27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Türkiye, 24 - 26 Nisan 2019, (Tam Metin Bildiri)

2. Analysis of Data Representation Techniques and Machine Learning Methods on Variant Calls for Classification of Cancer Types

ÖZCAN ŞİMŞEK N. Ö., ÖZGÜR TÜRKMEN A., GÜRGEN S. F.

17 th European Conference on Computational Biology, Atina, Yunanistan, 05 Eylül 2018, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

3. Supervised and fuzzy rule based link prediction in weighted co-authorship networks

Asil A., GÜRGEN S. F.

2nd International Conference on Computer Science and Engineering, UBMK 2017, Antalya, Türkiye, 5 - 08 Ekim 2017, ss.407-411, (Tam Metin Bildiri)

4. A ranker ensemble for multi-objective job recommendation in an item cold start setting

Yagci M., GÜRGEN S. F.

11th ACM Conference on Recommender Systems Challenge Workshop, RecSys Challenge 2017, Como, İtalya, 27 Ağustos 2017, cilt.Part F130525, (Tam Metin Bildiri)

5. On parallelizing SGD for pairwise learning to rank in collaborative filtering recommender systems

Yagci M., Aytekin T., GÜRGEN S. F.

11th ACM Conference on Recommender Systems, RecSys 2017, Como, İtalya, 27 - 31 Ağustos 2017, ss.37-41, (Tam Metin Bildiri)

6. A Ranker Ensmeble for Multi-Objective Job Recommendation in an Item Cold Start Setting

Yağcı M., GÜRGEN S. F.

Recommender Systems 2017 (RecSys 2017) Como Italy, 21 - 24 Ağustos 2017, (Tam Metin Bildiri)

7. Balanced random forest for imbalanced data streams Dengesiz veri akimlari için dengelenmiş rassal orman

YAĞCI A., Aytekin T., GÜRGEN S. F.

24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.1065-1068, (Tam Metin Bildiri)

8. Parallel personalized pairwise learning to rank

Yaǧci M., Aytekin T., Türen H., GÜRGEN S. F.

2016 EURO Mini Conference: From Multicriteria Decision Aid to Preference Learning, DA2PL 2016, Paderborn, Almanya, 7 - 08 Kasım 2016, ss.53-58, (Tam Metin Bildiri)

9. An ensemble approach for multi-label classification of item click sequences

Yaʇc A. M., Aytekin T., GÜRGEN S. F.

International ACM Recommender Systems Challenge, RecSys 2015, Vienna, Avusturya, 16 Eylül 2015, (Tam Metin Bildiri)

10. Canonical correlation analysis and local fisher discriminant analysis based multi-view acoustic feature reduction for physical load prediction

Kaya H., Özkaptan T., Salah A. A., GÜRGEN S. F.

15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014, Singapore, Singapur, 14 - 18 Eylül 2014, ss.442-446, (Tam Metin Bildiri)

11. A Cross-Corpus Experiment in Speech Emotion Recognition

Parlak C., DİRİ B., GÜRGEN S. F.

2nd International Workshop on Speech, Language and Audio in Multimedia, SLAM 2014, Penang, Malezya, 11 - 12 Eylül 2014, ss.58-61, (Tam Metin Bildiri)

12. Feature extraction based on discriminative alternating regression

Sakar C. O., Kursun O., GÜRGEN S. F.

13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013, Sevilla, İspanya, 25 - 28 Eylül 2013, cilt.41, ss.730-733, (Tam Metin Bildiri)

13. Protocol and baseline for experiments on Bogazici University Turkish emotional speech corpus Boǧaziçi üniversitesi türkçe duygulu konuşma veritabani üzerinde deneyler için protokol ve taban çizgis

Kaya H., Salali A. A., GÜRGEN S. F., Ekenel H. K.

2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.1698-1701, (Tam Metin Bildiri)

14. Bayesian multiview dimensionality reduction for learning predictive subspaces

Gönen M., Gönen G. B., GÜRGEN S. F.

21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Çek Cumhuriyeti, 18 - 22 Ağustos 2014, cilt.263, ss.387-392, (Tam Metin Bildiri)

15. Biomedical image time series registration with particle filtering Parçacik süzgeci ile biyomedikal görüntü zaman serisi çakiştirma

Yaǧci M., Erdil E., Özgür Arguņsah A., Ünay D., Çetin M., AKARUN ERSOY L., et al.

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Türkiye, 24 - 26 Nisan 2013, (Tam Metin Bildiri)

16. Prenatal risk assessment of trisomy 21 by probabilistic classifiers Olasiliksal siniflandiricilar ile doǧum öncesinde trizomi 21 risk hesaplamas

UZUN Ö., Kaya H., GÜRGEN S. F., Varol F. G.

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Türkiye, 24 - 26 Nisan 2013, (Tam Metin Bildiri)

17. Auxiliary particle filtering based multiple changepoint detection in volatility models

Serdar Yümlü M., GÜRGEN S. F., Taylan Cemgil A., OKAY AKMAN N.

12th IASTED International Conference on Artificial Intelligence and Applications, AIA 2013, Innsbruck, Avusturya, 11 - 13 Şubat 2013, ss.114-121, (Tam Metin Bildiri)

18. Posterior probability convergence of k-NN classification and K-means clustering

Kaya H., Kurşun O., GÜRGEN S. F.

27h International Symposium on Computer and Information Sciences, ISCIS 2012, Paris, Fransa, 3 - 04 Ekim 2012, ss.171-179, (Tam Metin Bildiri)

19. Segmentation of fetal skulls using ellipse fitting and active appearance models Eli̇ps oturtma ve akti̇f görünüm modelleri̇ kullanarak fetal kafatasi i̇mgeleri̇ni̇ bölütleme

Konur U., GÜRGEN S. F., Varol F.

2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Fethiye, Mugla, Türkiye, 18 - 20 Nisan 2012, (Tam Metin Bildiri)

20. A validation method for comparing classifiers on imbalanced datasets Dengesi̇z veri̇ kümeleri̇ üzeri̇nde siniflandiricilarin karşilaştirilmasi i̇çi̇n bi̇r sinama yöntemi̇

Şakar B. E., Şakar C. O., GÜRGEN S. F., SERTBAŞ A., Kurşun O.

2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Fethiye, Mugla, Türkiye, 18 - 20 Nisan 2012, (Tam Metin Bildiri)

21. Istanbul Stock Exchange (ISE) 100 prediction using support vector predictors (SVP)

Yümlü M. S., GÜRGEN S. F.

11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011, Innsbruck, Avusturya, 14 - 16 Şubat 2011, ss.224-229, (Tam Metin Bildiri)

22. A two-view ultrasound CAD system for spina bifida detection using Zernike features

Konur U., GÜRGEN S. F., Varol F.

Medical Imaging 2011: Computer-Aided Diagnosis, Lake Buena Vista, FL, Amerika Birleşik Devletleri, 15 - 17 Şubat 2011, cilt.7963, (Tam Metin Bildiri)

23. Fuzzy support vector machines for ECG arrhythmia detection

Özcan N. Ö., GÜRGEN S. F.

2010 20th International Conference on Pattern Recognition, ICPR 2010, İstanbul, Türkiye, 23 - 26 Ağustos 2010, ss.2973-2976, (Tam Metin Bildiri)

24. Prediction of protein sub-nuclear location by clustering mRMR ensemble feature selection

Sakar O., Kursun O., Seker H., GÜRGEN S. F.

2010 20th International Conference on Pattern Recognition, ICPR 2010, İstanbul, Türkiye, 23 - 26 Ağustos 2010, ss.2572-2575, (Tam Metin Bildiri)

25. Computer aided diagnosis for spina bifida

Konur U., GÜRGEN S. F.

2010 5th International Symposium on Health Informatics and Bioinformatics, HIBIT 2010, Antalya, Türkiye, 20 - 22 Nisan 2010, ss.104-109, (Tam Metin Bildiri)

26. A MLP based PD estimation model for SME credits

Derelioǧlu G., GÜRGEN S. F.

2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009, Guzelyurt, Kıbrıs (Gkry), 14 - 16 Eylül 2009, ss.265-268, (Tam Metin Bildiri)

27. Parallel interacting multiview learning: An application to prediction of protein sub-nuclear location

Sakar C. O., Kursun O., Seker H., GÜRGEN S. F., Aydin N., Favorov O. V.

9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, Larnaka, Kıbrıs (Gkry), 4 - 07 Kasım 2009, (Tam Metin Bildiri)

28. A neural approach for SME's credit risk analysis in Turkey

Derelioǧlu G., GÜRGEN S. F., OKAY AKMAN N.

6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009, Leipzig, Almanya, 23 - 25 Temmuz 2009, cilt.5632 LNAI, ss.749-759, (Tam Metin Bildiri)

29. Credit risk analysis using Hidden Markov Model

Oguz H. T., GÜRGEN S. F.

2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008, İstanbul, Türkiye, 27 - 29 Ekim 2008, (Tam Metin Bildiri)

30. Spectral coding of mesh geometry with a hierarchical set partitioning algorithm

Konur U., Bayazıt U., Ateş H. F., GÜRGEN S. F.

Visual Communications and Image Processing 2008, San Jose, CA, Amerika Birleşik Devletleri, 29 - 31 Ocak 2008, cilt.6822, (Tam Metin Bildiri)

31. Incremental learning with ensemble based SVM classifiers for non-stationary environments DVM siniflayici topluluklariyla duragan olmayan ortamlarda aşamaliöǧrenme

Yalçin A., Erdem Z., GÜRGEN S. F.

2007 IEEE 15th Signal Processing and Communications Applications, SIU, Eskişehir, Türkiye, 11 - 13 Haziran 2007, (Tam Metin Bildiri)

32. Spectral coding of mesh geometry with a hierarchical set partitioning algorithm Tel file geometrilerinin siradüzensel küme bölüntü leme ile spektral kodlamasi

Konur U., Bayazıt U., Ates H. F., GÜRGEN S. F.

2007 IEEE 15th Signal Processing and Communications Applications, SIU, Eskişehir, Türkiye, 11 - 13 Haziran 2007, (Tam Metin Bildiri)

33. Arrhythmia classification using serial fusion of support vector machines and logistic regression

Uyar A., GÜRGEN S. F.

2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, Dortmund, Almanya, 6 - 08 Eylül 2007, ss.560-565, (Tam Metin Bildiri)

34. Ensemble based incremental SVM classifiers for changing environments

Yalçin A., Erdem Z., GÜRGEN S. F.

22nd International Symposium on Computer and Information Sciences, ISCIS 2007, Ankara, Türkiye, 7 - 09 Kasım 2007, ss.204-208, (Tam Metin Bildiri)

35. The usage of independent component analysis for robust speaker verification

Şentürk A., GÜRGEN S. F.

IASTED International Conference on Artificial Intelligence and Applications, AIA 2006, Innsbruck, Avusturya, 13 - 16 Şubat 2006, ss.136-141, (Tam Metin Bildiri)

36. Compressing mesh geometry using spectral methods and a set partitioning approach Spektral yöntemler ve küme bölüntüleme yaklaşimlariyla 3B nesne bilgilerinin sikiştirilmasi

Konur U., Bayazıt U., GÜRGEN S. F., Orcay Ö.

2006 IEEE 14th Signal Processing and Communications Applications, Antalya, Türkiye, 17 - 19 Nisan 2006, cilt.2006, (Tam Metin Bildiri)

37. Neural network based data filtering for position tracking of an underwater vehicle

Altunkaya M. U., İkizoğlu S., GÜRGEN S. F.

3rd International Conference on Informatics in Control, Automation and Robotics, ICINCO 2006, Setúbal, Portekiz, 1 - 05 Ağustos 2006, cilt.SPSMC, ss.197-200, (Tam Metin Bildiri)

38. A comparative study of evolutionary optimization techniques in dynamic environments

Ayvaz D., TOPCUOĞLU H. R., GÜRGEN S. F.

8th Annual Genetic and Evolutionary Computation Conference 2006, Seattle, WA, Amerika Birleşik Devletleri, 8 - 12 Temmuz 2006, cilt.2, ss.1397-1398, (Tam Metin Bildiri)

39. Hybrid techniques for dynamic optimization problems

Ayvaz D., TOPCUOĞLU H. R., GÜRGEN S. F.

ISCIS 2006: 21th International Symposium on Computer and Information Sciences, İstanbul, Türkiye, 1 - 03 Kasım 2006, cilt.4263 LNCS, ss.95-104, (Tam Metin Bildiri)

40. Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systems

Bayazıt U., Orcay O., Konur U., GÜRGEN S. F.

13th European Signal Processing Conference, EUSIPCO 2005, Antalya, Türkiye, 4 - 08 Eylül 2005, ss.93-96, (Tam Metin Bildiri)

41. Classification of volatile organic compounds with incremental SVMs and RBF networks

Erdem Z., Polikar R., Yumuşak N., GÜRGEN S. F.

20th International Symposium on Computer and Information Sciences, ISCIS 2005, İstanbul, Türkiye, 26 - 28 Ekim 2005, cilt.3733 LNCS, ss.322-331, (Tam Metin Bildiri)

42. Ensemble of support vector machines classifiers with Learn++ algorithm Learn++ algoritmasi ile destek vektör makineleri siniflayicilar topluluǧunun oluşturulmasi

Erdem Z., Polikar R., Yumuşak N., GÜRGEN S. F.

IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Türkiye, 16 - 18 Mayıs 2005, cilt.2005, ss.687-690, (Tam Metin Bildiri)

43. Evolutionary algorithms for location area management

Karaoǧlu B., TOPCUOĞLU H. R., GÜRGEN S. F.

EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Lausanne, İsviçre, 30 Mart - 01 Nisan 2005, cilt.3449, ss.175-184, (Tam Metin Bildiri)

44. Ensemble of SVMs for incremental learning

Erdem Z., Polikar R., GÜRGEN S. F., Yumusak N.

6th International Workshop on Multiple Classifier Systems, MCS 2005, Seaside, CA., Amerika Birleşik Devletleri, 13 - 15 Haziran 2005, cilt.3541 3541 LNCS, ss.246-256, (Tam Metin Bildiri)

45. Reducing the effect of out-voting problem in ensemble based incremental support vector machines

Erdem Z., Polikar R., GÜRGEN S. F., Yumusak N.

15th International Conference on Artificial Neural Networks: Formal Models and Their Applications, ICANN 2005, Warszawa, Polonya, 11 - 15 Eylül 2005, cilt.3697 LNCS, ss.607-612, (Tam Metin Bildiri)

46. 3-D object mesh geometry compression with vector quantization 3-B Nesne Bilgilerinin Vektör Nicemleme Yöntemleri ile Sikiştirilmasi

Orcay Ö., Konur U., Bayazıt U., GÜRGEN S. F.

Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004, Kusadasi, Türkiye, 28 - 30 Nisan 2004, ss.296-299, (Tam Metin Bildiri)

47. Multipath querying of hierarchically tree structured document databases in vector spaces Vektör Uzayinda Siradüzensel Aǧaç Yapisi ile Düzenlenmiş Metin Veri Tabanlarinin Çoklu Yollar Üzerinden Sorgulanmasi

Ayan U., Bayazıt U., GÜRGEN S. F.

Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004, Kusadasi, Türkiye, 28 - 30 Nisan 2004, ss.619-622, (Tam Metin Bildiri)

48. Yapay Sinir Ağları ve Bayes Filtrelemesi ile Spam Mesajların Tespiti

ÖZGÜR L., GÜNGÖR T., GÜRGEN S. F.

Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu (ASYU-INISTA), İstanbul, Türkiye, 23 - 25 Haziran 2004, ss.219-222, (Tam Metin Bildiri)

49. Adaptive Turkish Anti Spam Filtering

ÖZGÜR L., GÜNGÖR T., GÜRGEN S. F.

International Twelfth Turkish Symposium on ArtificialIntelligence and Neural Networks (TAINN 2003), Çanakkale, Türkiye, 2 - 04 Temmuz 2003, cilt.5, ss.453-455, (Tam Metin Bildiri)

50. Using of local information for diagnosing intranatal adverse conditions by pulse oximetry

GÜLER BAYAZIT N., GÜRGEN S. F., Arikan G.

23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, İstanbul, Türkiye, 25 - 28 Ekim 2001, cilt.4, ss.3710-3713, (Tam Metin Bildiri)

51. The use of major risk factors for computer-based distinction of diabetic patients with ischemic stroke and without stroke

Merey S. O., GÜRGEN S. F., Gurgen N.

23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, İstanbul, Türkiye, 25 - 28 Ekim 2001, cilt.4, ss.3839-3843, (Tam Metin Bildiri)

52. An intelligent medical decision: Antenatal fetal risk assessment by neurofuzzy technique using Doppler blood flow velocity waveforms from umbilical and cerebral artery

GÜLER BAYAZIT N., GÜRGEN S. F., Varol F.

International Joint Conference on Neural Networks (IJCNN'01), Washington, Amerika Birleşik Devletleri, 15 - 19 Temmuz 2001, cilt.4, ss.2700-2705, (Tam Metin Bildiri)

53. Discriminant functions and decision tree induction techniques for antenatal fetal risk assessment

GÜLER BAYAZIT N., YILDIZ Ö., GÜRGEN S. F., Varol F., Alpaydin E.

International Joint Conference on Neural Networks (IJCNN'01), Washington, Amerika Birleşik Devletleri, 15 - 19 Temmuz 2001, cilt.4, ss.2712-2717, (Tam Metin Bildiri)

54. 2D ground penetrating radar data identification

Ballan M., GÜRGEN S. F.

GPR 2000: The 8th International Conference on Ground Penetrating Radar, Gold-Coast, Avustralya, 23 - 26 Mayıs 2000, cilt.4084, ss.630-634, (Tam Metin Bildiri)

55. Application of neural networks to bearing estimation

Arslan G., GÜRGEN S. F., Sakarya F.

Proceedings of the 1996 3rd IEEE International Conference on Electronics, Circuits, and Systems, ICECS. Part 2 (of 2), Rodos, Yunanistan, 13 - 16 Ekim 1996, cilt.2, ss.647-650, (Tam Metin Bildiri)

56. A continuous HMM based preprocessor for modular speech recognition neural networks

GÜRGEN S. F., Song J.

3rd International Conference on Spoken Language Processing, ICSLP 1994, Yokohama, Japonya, 18 - 22 Eylül 1994, ss.1507-1510, (Tam Metin Bildiri)

57. USING WAVELET DYADIC GRIDS AND NEURAL NETWORKS FOR SPEECH RECOGNITION

Favero R. F., GÜRGEN S. F.

3rd International Conference on Spoken Language Processing, ICSLP 1994, Yokohama, Japonya, 18 - 22 Eylül 1994, ss.1539-1542, (Tam Metin Bildiri)

58. Comparing distributed and local neural classifiers for the recognition of Japanese phonemes

Alpaydin R., Unluakin U., GÜRGEN S. F., Alpaydin E.

Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3), Nagoya, Japonya, 25 - 29 Ekim 1993, cilt.1, ss.239-242, (Tam Metin Bildiri)

59. Phoneme recognition with neural networks using a novel fuzzy training algorithm

GÜRGEN S. F., Aikawa K., Shikano K.

1991 IEEE International Joint Conference on Neural Networks - IJCNN '91, Singapore, Singapur, 18 - 21 Kasım 1991, ss.572-577, (Tam Metin Bildiri)

60. ON THE TRAINING STRATEGIES OF NEURAL NETWORKS FOR SPEECH RECOGNITION

GÜRGEN S. F., Aikawa K., Shikano K.

1992 International Joint Conference on Neural Networks, IJCNN 1992, Maryland, Amerika Birleşik Devletleri, 7 - 11 Haziran 1992, cilt.4, ss.749-754, (Tam Metin Bildiri)