Search
Now showing items 1-10 of 10
Performance Evaluation Metrics for Software Fault Prediction Studies
(Budapest Tech, Becsi Ut 96-B, Budapest, H-1034, Hungary, 2012)
Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with ...
Building up lexical sample dataset for Turkish word sense disambiguation
(2012-07-02)
Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All ...
Comparison of Face Recognition Algorithms
(IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
in this study, we analyze the algorithms that is used for face recognition and make performance comparison of two algorithms. The methods that is analyzed are k-nearest neighbors, Naive Bayes, eigenfaces, principle component ...
Machine Learning Based Phishing Detection from URIs
(2017-12)
Due to the rapid growth of the Internet, users change their preference from traditional shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try to find their victims in the cyberspace ...
Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting
(2019-01)
— Predicting the sales amount as close as to the actual
sales amount can provide many benefits to companies. Since the
fashion industry is not easily predictable, it is not
straightforward to make an accurate prediction ...
Disease Prediction Using Weighted Artificial Immune System
(2019-07)
The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection ...
Flower Classification with Deep CNN and Machine Learning Algorithms
(2019-09-11)
Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...
Performance tuning for machine learning-based software development effort prediction models
(2019)
Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...
Digital Data Forgetting: A Machine Learning Approach
(2018-10)
Digital transformation of the world goes very fast during last two decades. Today, data is power and very important.
Firstly, magnetic tapes and then digital data storages have been used to collect all data. After this ...
Autonomous vehicle control for Lane and vehicle tracking by using deep learning via vision
(2018)
Camera-based lane detection and vehicle tracking algorithms are one of the keystones for many autonomous systems. The navigational process of those systems is mainly focused on the output of detection algorithms. However, ...