Search results for "ML"

A Sentiment Enhanced Deep Collaborative Filtering Recommender System

2021

Recommender systems use advanced analytic and learning techniques to select relevant information from massive data and inform users’ smart decision-making on their daily needs. Numerous works exploiting user’s sentiments on products to enhance recommendations have been introduced. However, there has been relatively less work exploring higher-order user-item features interactions for sentiment enhanced recommender system. In this paper, a novel Sentiment Enhanced Deep Collaborative Filtering Recommender System (SE-DCF) is developed. The architecture is based on a Neural Attention network component aggregated with the output predictions of a Convolution Neural Network (CNN) recommender. Speci…

Evaluating Classifiers for Mobile-Masquerader Detection

2006

As a result of the impersonation of a user of a mobile terminal, sensitive information kept locally or accessible over the network can be abused. The means of masquerader detection are therefore needed to detect the cases of impersonation. In this paper, the problem of mobile-masquerader detection is considered as a problem of classifying the user behaviour as originating from the legitimate user or someone else. Different behavioural characteristics are analysed by designated one-class classifiers whose classifications are combined. The paper focuses on selecting the classifiers for mobile-masquerader detection. The selection process is conducted in two phases. First, the classification ac…

Generating App Product Lines in a Model-Driven Cross-Platform Development Approach

2016

Within software product lines (SPL) similar software products are created based on common features. We applied this versatile approach to cross-platform app development by extending the domain-specific language (DSL) of an established model-driven development framework. The goal was to support the formulation of coherent building blocks of business use cases, referred to as workflow elements. While the former implementation already abstracted from technical details and provided the possibility to reuse low level features, it now enables to build business apps by combining coherent, self-contained workflow elements. Providing this support on the language level facilitates reusable component-…

A Framework for Component Reuse in a Metamodelling-Based Software Development

2001

<title>Expanding context against weighted voting of classifiers</title>

2000

In the paper we propose a new method to integrate the predictions of multiple classifiers for Data Mining and Machine Learning tasks. The method assumes that each classifier stands in it's own context, and the contexts are partially ordered. The order is defined by monotonous quality function that maps each context to the value from the interval [0,1]. The classifier that has the context with better quality is supposed to predict better than the classifier from worse quality. The objective is to generate the opinion of `virtual' classifier that stands in the context with quality equal to 1. This virtual classifier must have the best accuracy of predictions due to the best context. To do thi…

Towards interpretable classifiers with blind signal separation

2012

Blind signal separation (BSS) is a powerful tool to open-up complex signals into component sources that are often interpretable. However, BSS methods are generally unsupervised, therefore the assignment of class membership from the elements of the mixing matrix may be sub-optimal. This paper proposes a three-stage approach using Fisher information metric to define a natural metric for the data, from which a Euclidean approximation can then be used to drive BSS. Results with synthetic data models of real-world high-dimensional data show that the classification accuracy of the method is good for challenging problems, while retaining interpretability.

RDF-Based Web Information Integration System: A Travel System Use Case

2018

Enterprises are continually faced with the challenge of integrating heterogeneous systems with incompatible interfaces, data structures (Source structured relational databases, semi-structured sources, XML, or unstructured documents: texts), access mode and technologies. When companies adopt SOA (Service Oriented Architecture), that provides an alternative to traditional design of applications by allowing a designer to assemble and compose existing services that implement the functions of a given application domain, they realize that there is a significant risk that Web services only do not solve the problem of compatibility in the data. Our paper gives a solution to these issues by setting…

Integration of distributed healthcare records: publishing legacy data as XML documents compliant with CEN/TC251 ENV13606

2003

To support co-operative work among health professionals and institutions it is necessary to share healthcare information about patients in a meaningful way. But, nowadays, in most hospitals health data are distributed across several information systems whose interconnection is difficult to achieve, this leads to the so-called islands of information. This paper briefly describes the architecture, design and implementation of the PANGEA system. PANGEA allows healthcare professionals to access patient information stored in heterogeneous autonomous information systems through a set of formal aggregates of health data based on the European pre-standard of Healthcare Record Architecture ENV13606 …

Agreements regarding the property relations of transnational couples and their effects under the application of the twin regulations

2021

It is a true and verifiable fact that the family institution has evolved over recent decades in Europe and throughout the world, but not uniformly or at the same time. This is because it is influenced by social and cultural connotations specific to each State. All of which are respected under EU Regulations 2016/1103 and 2016/1104. This work analyses the Twins Regulations, that gives the couples the possibility of choosing the jurisdiction (art. 7) and applicable legal system underpinning the property consequences of the marriage and registered partnerships (art. 22.1). However, we try to show you these rules absolute freedom of choice is not granted to the parties, because this freedom is …

Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnos…

2021

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment …