Fikret S. Gürgen

According to our database1, Fikret S. Gürgen authored at least 53 papers between 1990 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2017
Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream.
Eng. Appl. of AI, 2017

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
Balanced random forest for imbalanced data streams.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Random Discriminative Projection Based Feature Selection with Application to Conflict Recognition.
IEEE Signal Process. Lett., 2015

Computer aided detection of spina bifida using nearest neighbor classification with curvature scale space features of fetal skulls extracted from ultrasound images.
Knowl.-Based Syst., 2015

Bayesian changepoint and time-varying parameter learning in regime switching volatility models.
Digital Signal Processing, 2015

An ensemble approach for multi-label classification of item click sequences.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

2014
Combining multiple clusterings for protein structure prediction.
IJDMB, 2014

Combining multiple views: Case studies on protein and arrhythmia features.
Eng. Appl. of AI, 2014

Ensemble canonical correlation analysis.
Appl. Intell., 2014

A cross-corpus experiment in speech emotion recognition.
Proceedings of the 2nd International Workshop on Speech, Language and Audio in Multimedia, 2014

Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings.
IEEE J. Biomedical and Health Informatics, 2013

Biomedical image time series registration with particle filtering.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Prenatal risk assessment of Trisomy 21 by probabilistic classifiers.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method.
Expert Syst. Appl., 2012

Intrauterine growth restriction (IUGR) risk decision based on support vector machines.
Expert Syst. Appl., 2012

Probabilistic and discriminative group-wise feature selection methods for credit risk analysis.
Expert Syst. Appl., 2012

Performance evaluation of evolutionary heuristics in dynamic environments.
Appl. Intell., 2012

A validation method for comparing classifiers on imbalanced datasets.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Segmentation of fetal skulls using ellipse fitting and active appearance models.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Posterior Probability Convergence of k-NN Classification and K-Means Clustering.
Proceedings of the Computer and Information Sciences III, 2012

2011
Knowledge discovery using neural approach for SME's credit risk analysis problem in Turkey.
Expert Syst. Appl., 2011

A two-view ultrasound CAD system for spina bifida detection using Zernike features.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010
A knowledge-based support vector synthesis of the transmission lines for use in microwave integrated circuits.
Expert Syst. Appl., 2010

Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fuzzy Support Vector Machines for ECG Arrhythmia Detection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
A Neural Approach for SME's Credit Risk Analysis in Turkey.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A MLP based PD estimation model for SME credits.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

2007
Predictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systems.
J. Visual Communication and Image Representation, 2007

An Analysis of Support Vector Machines for Credit Risk Modeling.
Proceedings of the Applications of Data Mining in E-Business and Finance, 2007

2006
Hybrid Techniques for Dynamic Optimization Problems.
Proceedings of the Computer and Information Sciences, 2006

Neural network based data filtering for position tracking of an underwater vehicle.
Proceedings of the ICINCO 2006, 2006

A comparative study of evolutionary optimization techniques in dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

The Usage of Independent Component Analysis for Robust Speaker Verification.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005
A comparison of global, recurrent and smoothed-piecewise neural models for Istanbul stock exchange (ISE) prediction.
Pattern Recognition Letters, 2005

Ensemble of SVMs for Incremental Learning.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks.
Proceedings of the Computer and Information Sciences, 2005

Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Evolutionary Algorithms for Location Area Management.
Proceedings of the Applications of Evolutionary Computing, 2005

Predictive vector quantization of 3-D polygonal mesh geometry by representation of vertices in local coordinate systems.
Proceedings of the 13th European Signal Processing Conference, 2005

Global, Recurrent and Smoothed-Piecewise Neural Models for Financial Time Series Prediction.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
Adaptive anti-spam filtering for agglutinative languages: a special case for Turkish.
Pattern Recognition Letters, 2004

The Effects of Data Properties on Local, Piecewise, Global, Mixture of Experts, and Boundary-Optimized Classifiers for Medical Decision Making.
Proceedings of the Computer and Information Sciences, 2004

Spam Mail Detection Using Artificial Neural Network and Bayesian Filter.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Parallel Implementation of a VQ-Based Text-Independent Speaker Identification.
Proceedings of the Advances in Information Systems, Third International Conference, 2004

Performance Evaluation of Digital Audio Watermarking Techniques Designed in Time, Frequency and Cepstrum Domains.
Proceedings of the Advances in Information Systems, Third International Conference, 2004

2003
Financial Time Series Prediction Using Mixture of Experts.
Proceedings of the Computer and Information Sciences, 2003

1995
Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech Classification.
Neural Computing and Applications, 1995

1994
Distributed and local neural classifiers for phoneme recognition.
Pattern Recognition Letters, 1994

A continuous HMM based preprocessor for modular speech recognition neural networks.
Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

Using wavelet dyadic grids and neural networks for speech recognition.
Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

1990
Line spectrum pair frequency - based distance measures for speech recognition.
Proceedings of the First International Conference on Spoken Language Processing, 1990


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