Tez Dosyaları 36
Supervised and fuzzy rule based link prediction in weighted co-authorship networks
Robust machine learning methods for computational paralinguistics and multimodal affective computing
A modular approach for SMEs credit risk analysis
Efficient personalized learning to rank from implicit feedback for time-sensitive recommendations
Performance evaluation of evolutionary heuristics in dynamic environments
Random discriminative projection-based feature selection for computational paralinguistics
Credit risk analysis using hidden Markov model
Bayesian changepoint and time-varying parameter learning in regime switching volatility models
Forecasting stock market volatility using artificial neural networks
A study of a group of healthcare datasets in data mining domain
Multi-view feature extraction based on canonical correlation analysis
Risk estimation for intrauterine growth restriction using ultrasound indices and classifiers in emergenct cases
Deep learning based recommendation system design
Forecasting stock market return using artificial neural networks
Financial time series prediction using Kalman filters and hidden Markov models
Genomic data analysis using machine learning methods for disease and disease-gene prediction
TV logo detection and classification
A fuzzy support vector machine approach for ECG analysis
Compressing mesh geometry using spectral methods and a set partitioning algorithm
Parallel implementation of a VQ-based text-independent speaker identification
Intelligent arrhythmia classification based on support machines
Adversarial one-shot voice conversion using disentangledrepresentations
GA-NN approach for ECG feature selection in rule-based arrhythmia classification
Incremental learning with ensemble based SVM classifiers for non-stationary environments
Classifier performances for credit risk analysis
An autonomous area coverage method for endoscopic capsule robots
Localization of multiple sound sources in three dimensional environments
Prenatal risk assessment of down syndrome by probabilistic classifiers
Computer aided detection of spina bifida using features derived from curvature scale space and Zernike moments
ECG arrhythmia classification using class-modular MLP
Developing a comprehensive framework for sentiment analysis in Turkish
Credit risk modeling using machine learning techniques
Feature selection and transfer learning algorithms with applications on credit risk analysis
Multi-objective task scheduling in heterogeneous fog environments
Location area management for mobile networks with evolutionary algorithms
Mutual information based feature selection for acoustic autism diagnosis