Deep learning has been widely applied in computer vision, natural language processing,
and audio-visual recognition. The overwhelming success of deep learning as a data …

This paper is focused on the concise review of the specific applications of genetic algorithms
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …

Melanoma is a skin disease that tends to be lethal. It occurs when melanocytes develop in
an uncontrolled manner. Melanoma goes under a few different names, including malignant …

The foreign exchange (FOREX) market is one of the biggest financial markets in the world.
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …

For improving forecasting accuracy and trading performance, this paper proposes a new
multi‐objective least squares support vector machine with mixture kernels to forecast asset …

Financial time series prediction is a hot topic in machine learning field, but existing works
barely catch the point of such data. In this study, we employ the most suitable preprocessing …

Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …

Hydrological models play a crucial role in water planning and decision making. Machine
Learning-based models showed several drawbacks for frequent high and a wide range of …

Financial time series are chaotic that, in turn, leads their predictability to be complex and
challenging. This paper presents a novel financial time series prediction hybrid that involves …

This paper analyzes the factor zoo, which has theoretical and empirical implications for
finance, from a machine learning perspective. More specifically, we discuss feature selection …