This article addresses responsible robotics from a legal perspective. However, instead of focusing on ethical considerations elaborated in philosophy and Artificial Intelligence (AI) communities, the legal liability risks related to inherently error-prone intelligent machines are considered and...

There are problems in accounting and finance that can't be solved easily though conventional techniques. Some examples are bankruptcy prediction and the development of strategies to trade (profitably) in stock exchanges. In these cases, one of the alternatives is the use of artificial...

As technology has advanced, many have wondered whether (or simply when) artificial intelligent devices will replace the humans who perform complex, interactive, interpersonal tasks such as dispute resolution. Has science now progressed to the point that artificial intelligence devices can...

The presentation of online information is dominated by single ranked lists. These lists tend to be sorted by increasingly invisible algorithms (often employing personalization features). Instead of alphabetical or chronological order, information providers use the logic of machine learning to...

There are two main purposes in this paper. The first objective is to compare the performances, in terms of forecasting accuracy and profitability in stock market movements forecasting using different techniques including machine learning models. We compare these techniques using data from the...

In this paper, we approximate the empirical findings of Papadamou and Markopoulos (2012) on the NOK/USD exchange rate under a Machine Learning (ML) framework. By applying Support Vector Regression (SVR) on a general monetary exchange rate model and a Dynamic Evolving Neuro-Fuzzy Inference System...

In recent years, intrusion detection has emerged as an important technique for network security. Machine learning techniques have been applied to the field of intrusion detection. They can learn normal and anomalous patterns from training data and via Feature selection improving classification...