Fikret S. Gürgen - researchr alias

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Viewing Publication 1 - 40 from 40

2020

A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative FilteringA. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen. ijprai, 34(3), 2020. [doi]

2019

Parallel pairwise learning to rank for collaborative filteringA. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen. concurrency, 31(15), 2019. [doi]

2017

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender SystemsA. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen. recsys 2017: 37-41 [doi]

Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback streamA. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen. eaai, 58:171-184, 2017. [doi]

2016

Balanced random forest for imbalanced data streamsA. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen. siu 2016: 1065-1068 [doi]

2015

2014

Bayesian Multiview Dimensionality Reduction for Learning Predictive SubspacesMehmet Gönen, Gülefsan Bozkurt Gönen, Fikret S. Gürgen. ecai 2014: 387-392 [doi]

2012

2011

Knowledge discovery using neural approach for SME s credit risk analysis problem in TurkeyGülnur Derelioglu, Fikret S. Gürgen. eswa, 38(8):9313-9318, 2011. [doi]

2010

A knowledge-based support vector synthesis of the transmission lines for use in microwave integrated circuitsFiliz Günes, Nurhan Türker Tokan, Fikret S. Gürgen. eswa, 37(4):3302-3309, 2010. [doi]

Fuzzy Support Vector Machines for ECG Arrhythmia DetectionN. Ozlem Ozcan, Fikret S. Gürgen. icpr 2010: 2973-2976 [doi]

2007

Predictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systemsUlug Bayazit, Ozgur Orcay, Umut Konur, Fikret S. Gürgen. jvcir, 18(4):341-353, 2007. [doi]

An Analysis of Support Vector Machines for Credit Risk ModelingMurat Emre Kaya, Fikret S. Gürgen, Nesrin Okay. pakdd 2008: 25-33 [doi]

2006

2005

Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systemsUlug Bayazit, Ozgur Orcay, Umut Konur, Fikret S. Gürgen. eusipco 2005: 1-4 [doi]

Classification of Volatile Organic Compounds with Incremental SVMs and RBF NetworksZeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S. Gürgen. iscis 2005: 322-331 [doi]

Ensemble of SVMs for Incremental LearningZeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak. mcs 2005: 246-256 [doi]

Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector MachinesZeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak. icann 2005: 607-612 [doi]

Evolutionary Algorithms for Location Area ManagementBahar Karaoglu, Haluk Topcuoglu, Fikret S. Gürgen. evoW 2005: 175-184 [doi]

Global, Recurrent and Smoothed-Piecewise Neural Models for Financial Time Series PredictionSerdar Yülü, Fikret S. Gürgen, Nesrin Okay. aia 2005: 134-139

A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) predictionM. Serdar Yümlü, Fikret S. Gürgen, Nesrin Okay. prl, 26(13):2093-2103, 2005. [doi]

2004

The Effects of Data Properties on Local, Piecewise, Global, Mixture of Experts, and Boundary-Optimized Classifiers for Medical Decision MakingNilgün Güler, Fikret S. Gürgen. iscis 2004: 51-61 [doi]

Performance Evaluation of Digital Audio Watermarking Techniques Designed in Time, Frequency and Cepstrum DomainsMurat Sehirli, Fikret S. Gürgen, Serhat Ikizoglu. advis 2004: 430-440 [doi]

Parallel Implementation of a VQ-Based Text-Independent Speaker IdentificationRuhsar Soganci, Fikret S. Gürgen, Haluk Topcuoglu. advis 2004: 291-300 [doi]

Adaptive anti-spam filtering for agglutinative languages: a special case for TurkishLevent Özgür, Tunga Güngör, Fikret S. Gürgen. prl, 25(16):1819-1831, 2004. [doi]

Spam Mail Detection Using Artificial Neural Network and Bayesian FilterLevent Özgür, Tunga Güngör, Fikret S. Gürgen. ideal 2004: 505-510 [doi]

2003

Financial Time Series Prediction Using Mixture of ExpertsM. Serdar Yümlü, Fikret S. Gürgen, Nesrin Okay. iscis 2003: 553-560 [doi]

1995

Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech ClassificationEthem Alpaydin, Fikret S. Gürgen. nca, 3(1):38-49, 1995.

1994

Using wavelet dyadic grids and neural networks for speech recognitionRichard R. Favero, Fikret S. Gürgen. interspeech 1994: 1539-1542 [doi]

Distributed and local neural classifiers for phoneme recognitionFikret S. Gürgen, R. Alpaydin, U. Ünlüakin, Ethem Alpaydin. prl, 15(10):1111-1118, 1994. [doi]

A continuous HMM based preprocessor for modular speech recognition neural networksFikret S. Gürgen, J. M. Song, R. W. King. interspeech 1994: 1507-1510 [doi]

1990

Line spectrum pair frequency - based distance measures for speech recognitionFikret S. Gürgen, Shigeki Sagayama, Sadaoki Furui. interspeech 1990: 521-524 [doi]

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