Combined Machine Learning Techniques for Decision Making Support in Medicine

Computational intelligent support for decision making is becoming increasingly popular and essential among medical professionals. Also, with the modern medical devices being capable to communicate with ICT, created models can easily find practical translation into software. Machine learning solutions for medicine range from the robust but opaque paradigms of support vector machines and neural networks to the also performant, yet more comprehensible, decision trees and rule-based models. So how can such different techniques be combined such that the professional obtains the whole spectrum of their particular advantages? The presented approaches have been conceived for various medical problems, while permanently bearing in mind the balance between good accuracy and understandable interpretation of the decision in order to truly establish a trustworthy ‘artificial’ second opinion for the medical expert.Universidad de Málaga. Campus de Excelencia Internacional Andlaucía Tech

On building LSTM and CNN architectures for modeling time series data

Stock price prediction is one very challenging and desirable real-world task. The challenge comes from the very dynamic nature of stock movement that is triggered by many different known and unknown factors. An accurate prediction is naturally connected to money gain. In this tutorial, two deep learning architectures will be employed to model such time series data, namely the long short-term memory networks and the temporal convolutional neural networks. The implementation will be performed in Python, using Keras API with Tensorflow backend.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

PYTHON IMPLEMENTATION OF VISUAL SECRET SHARING SCHEMES

Visual secret sharing schemes (VSS) represent an important concept of visual cryptography. They permit the sharing of a secret image between multiple participants so that only authorized groups can recover the secret. This paper considers the software implementation of some black-and-white secret images VSS in Python programming language. PIL (Python Imaging Library) provides strong image processing capabilities, making the library suitable for this kind of implementation. We present samples of the results obtained from the software computation and draw some conclusions.visual secret sharing, visual cryptography, Python, PIL (Python Imaging Library)

Decision Support System and Customer Relationship Management as Components of the Cybernetic System Enterprise

This study analyzes the role played by the information system and its component, the software system, in a larger system - the Enterprise. In this context, the paper focuses on the structure of Decision Support System and Customer Relationship Management and their benefits in the functioning of the global system, by examining the conditions of implementation of these tools in the organization. We will show that used independently these tools offer reduced services, but when interconnected, they become a very powerful tool for command and control. Viability, evolution and autonomy requested by users for their information system are obtained more easily by a systemic-cybernetic approach to the Enterprise.DSS, Data Warehouse, CRM, Information System, Cybernetic System

AN APPROACH TO THE PROSPECTS OF BUSINESS ENGLISH LEARNING

The future of English as a global language has widely been discussed for over 10 years, starting with David Graddol (1997), a language researcher and lecturer at the Open University in Britain, in his famous work ‘The Future of English’, to so many other language researchers, so much inspired by Graddol’s book. Whether English will keep its supremacy as THE tool of communication in the future world is still debatable, fact is that English is still the language of business and information technology and it shall stay so for quite a while, in spite of the challenges coming from Spanish, French, German, Russian and… Mandarin. Once we acknowledge that, the question is: how can the teaching/learning process be improved in the future for a better and faster acquisition of English as the language of choice in the business world?Business English; global English; globalization; information technology; sustainable development; universal language; neutral universal language; international language

Crisis Inversion Strategies – Theory or Reality in Romania of 2009?

The world crisis has begun showing its effects in Romania in October 2008. Still, the immaturity of Romanian authorities in the political and economic fields, as well as the enthusiasm of economic development led to an unconscious state of mind regarding the crisis. Therefore, Romanian companies have not started preparing for the crisis until they began feeling its effects. Also, a large number of Romanian managers are not familiar with crisis inversion strategies and accept crisis as an invincible necessity. Still, in other economies we can find examples of managers who fight for saving their companies and even try gaining competitive advantage based on the crisis. We have tried to find out if Romanian managers belong to the second type. ainly, the study focuses on strategies adopted by Romanian companies in order to counterbalance or, at least, ensure their survival during the world crisis.crisis, Romania, strategy, inversion

PROMOTING – A BASE COMPONENT OF THE MARKETING MIX IN MUSEUMS. CASE STUDY: THE MUSEUM OF THE ROMANIAN PEASANT

The Museum of the Romanian Peasant is part of the European museums family of Art and Popular Traditions. It is a national museum which is under the patronage of the Ministry of Culture, being the owner of some extremely rich object collections, housed in a building – historic monument, in a neo-Romanian style, it practices a distinct museum science, which brought it the honor of being awarded the EMYA (European Museum of the Year Award) trophy in 1996.Cultural Institutions, Museums, the Marketing Mix, promoting.