Predicting stock returns has been a never ending endeavour of both, practitioners and academics. Accurate forecasts are crucial for investment decisions and performances as well as for analysing market microstructures. This paper offers an innovative approach towards forecasting based on Neural...

In this paper, we are presenting a novel method and system for neuropsychological performance testing that can establish a link between cognition and emotion. It comprises a portable device used to interact with a cloud service which stores user information under username and is logged into by...

The owner of a mortgage can decide to repay his loan before the contractual maturity, completely or in part, in most cases without suffering any penalty. This might happen for a number of reasons which can go even beyond market driven incentives - ie. a more favourable general level of interest...

In the history of humanity actions around the forecast was always very important. Nowadays, large and small companies, international and national organizations, governments and educational institutions are in a continuous effort to improve the success of forecasting. Clearly, forecasts are very...

Stock market prediction provides the decision-making ability to the different stockholders for their investments. Recently, stock technical indicators (STI) emerged as a vital analysis tool for predicting high-dimensional stock data in various studies. However, the prediction performance and...

This paper proposes a target classification method by analysing microwave reflections based on deep learning techniques. Typical radar systems involve antennas transmitting microwave signals and receiving reflected power from the targets. The recovered reflected power spectrum will contain...

[enter Abstract Body]Due to the growing number of intrusions in local networks and the internet, it has become so universal that institution increasingly implements many structures that investigate information technology security violations. This study aimed to process, classify and predict the...

Currently and under the COVID-19 which is considered as a kind of disaster or even any other natural or manmade disasters, this study was confirmed to be important especially when the society is proceeding to recover and reduce the risks of as possible as injuries. These disasters are leading...

Farming has been practiced in our country for a long time. Agriculture has evolved significantly over time as modernity. The major issue Indian farmers come across is that they do not choose the relevant crop for their soil. They may experience a significant drop in production as a result of...

These slides are part of the Data & Ai reskilling seminar in Banking hosted by Dauphine and Ecoles des Mines PSL. They provide tips & tricks for classification using logistic regression, decision trees and neural networks