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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 ...
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 ...
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 ...
Development of a software vulnerability prediction web service based on artificial neural networks
(2017)
Detecting vulnerable components of a web application is an important activity to allocate verification resources effectively. Most of the studies proposed several vulnerability prediction models based on private and public ...
Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals
(2020-10)
Background and objective: Affect provides contextual information about the emotional state of a person as he/she communicates in both verbal and/or non-verbal forms. While human's are great at determining the emotional ...
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, ...
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 ...
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 ...
A tree learning approach to web document sectional hierarchy extraction
(2010)
There is an increasing availability of documents in electronic form due to the widespread use of the Internet. Hypertext Markup Language (HTML) which is mostly concerned with the presentation of documents is still the most ...
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, ...