Data sampling has an important role in the majority of local explanation methods. Generating neighborhood samples using either the Gaussian distribution or the distribution of training data is a widely-used procedure in ...

Recent developments in the field of indoor RealTime Locating Systems (RTLS) using mobile devices stimulate decision support for users. For instance, smartphone-based navigation in shops can enable location-aware recommendations ...

Ontology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual ...

The rapid increase in the number of processors demands quicker and more reliant data availability to avoid extensive memory accesses. Caches hierarchies are most important in an efficient n-core system. However, more ...

This thesis explores preschool children’s interaction with a conversational agent (CA), and we position this work within the field of Human-Computer Interaction (HCI). Through a preliminary case study, we explored children ...

This thesis describes the design of a domain map prototype, which serves as a means of tackling wicked problems from the perspective of knowledge federation. This is to cre-ate a new way of problem-solving in a time of ...

In the search for new technologies to assist the fish industry in the fight against diseases, computer vision is playing an essential role. The ability to automatically detect and inspect fish through a camera lens opens ...

The brain is the most complex of human organs, and the pathophysiology underlying abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid development of diagnostic tools and treatments in ...

A microfluidic laminar flow cell (LFC) forms an indispensable component in single-molecule experiments, enabling different substances to be delivered directly to the point under observation and thereby tightly controlling ...

Software beamforming allows more flexible and complex algorithms, often referred to as adaptive beamforming techniques, that are blurring the boundaries between beamforming and image processing. Many adaptive beamforming ...

DiffServ was designed to implement service provider quality of service (QoS) policies, where routers change and react upon the DiffServ Code Point (DSCP) in the IP header. However, nowadays, applications are beginning to ...

The GI Working Group“Programming Languages and Computing Concepts” arranges since 1984 each spring a workshop in the the “Physikzentrum Bad Honnef” (a convention centre of the German Physical Society). The meeting serves ...

Left ventricular (LV) dilatation is a key step in transition to heart failure (HF) in response to pressure overload. Cardiac extracellular matrix (ECM) contains fibrillar collagens and proteoglycans, important for maintaining ...

Data preprocessing is a crucial step in data analysis. A substantial amount of time is spent on data transformation tasks such as data formatting, modification, extraction, and enrichment, typically making it more convenient ...

The DiffServ Code Point (DSCP) field in the IP header allows to specify a desired per-hop behavior as packets traverse routers. Setting the DSCP field opportunistically, without prior contractual agreement, has recently ...

Service Level Agreements (SLA) are commonly used to specify the quality attributes between cloud service providers and the customers. A violation of SLAs can result in high penalties. To allow the analysis of SLA compliance ...

360∘ panorama video displayed through Virtual Reality (VR) glasses or large screens offers immersive user experiences, but as such technology becomes commonplace, the need for efficient streaming methods of such high-bitrate ...

XTRA (XFSM for Transport) aims at providing a first attempt towards a “code-once-port-everywhere” platform-agnostic programming abstraction tailored to the deployment of transport layer functions. XTRA's programming ...

This work proposes a novel facial expression recognition approach to contribute to better human-machine interactions. To do that, edge features in facial expression images are combined with a recurrent neural network (RNN) ...

Hospitals, as data custodians, have the need to share a version of the data in hand with external research institutes for analysis purposes. For preserving the privacy of the patients, anonymization methods are employed ...

In multi-tenant datacenters, the hardware may be homogeneous but the traffic often is not. For instance, customers who pay an equal amount of money can get an unequal share of the bottleneck capacity when they do not open ...

RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...

Exploring the effects of a chemical compound on a species takes a considerable experimental effort. Appropriate methods for estimating and suggesting new effects can dramatically reduce the work needed to be done by a ...

To meet the demands of communication‐intensive workloads in the cloud, virtual machines (VMs) should utilize low overhead network communication paradigms. In general, such paradigms enable VMs to directly communicate with ...

Neural methods for sentiment analysis have led to quantitative improvements over previous approaches, but these advances are not always accompanied with a thorough analysis of the qualitative differences. Therefore, it is ...

In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies by projecting the ontology axioms into a graph and performing (random) walks over the ontology graph to create a corpus of sentences. ...

The school health service is an important service working with health preventive measures for youth. However, challenges exist, for example in terms of resources. Chatbots represent new opportunities for strengthening the ...

Denne masteroppgaven er en fortolkende studie av digitale læringsmiljøer i høyere utdanning. Studien er en del av det pedagogiske kvalitative prosjektet UDFeed. Studien fulgte et emne ved Institutt for Informatikk ved ...

This master’s thesis is an empirical investigation of a Smart City initiative within healthcare in a Norwegian municipality. What is presented is a rich description of how local actors have engaged themselves in the planning, ...

In this project, an image sensor designed to receive modulated light was designed and produced. Earlier, an image sensor consisting of alternating pixel topologies has been produced and tested. However, using a single pixel ...

This thesis addresses the problem of finding a robust test suite for software testing by the use of mutation testing and machine learning. The goal is to find out a test suite that is immune to most of the mutants that can ...

This paper explores and conceptualises a phenomenon called platformization. The background is that the growing complexity of IT solutions is in many organizations costly and virtually impossible to adapt to changing ...

Background Cisplatin-based chemotherapy (CBCT) is part of standard treatment of several cancers. In testicular cancer (TC) survivors, an increased risk of developing metabolic syndrome (MetS) is observed. ...

This paper presents a morphological analysis of fibrotic scarring in non-ischemic dilated cardiomyopathy, and its relationship to electrical instabilities which underlie reentrant arrhythmias. Two dimensional electrophysiological ...

Underwater acoustic communication or localization systems can be affected by the Doppler effect when the receiver or emitter is in motion. In those cases, the use of an a appropiate encoding/modulating scheme play a pivotal ...

This paper describes an evaluation of five data-driven part-of-speech (PoS) taggers for spoken Norwegian. The taggers all rely on different machine learning mechanisms: decision trees, hidden Markov models (HMMs), conditional ...

Graph-based representations are considered to be the future for reference genomes, as they allow integrated representation of the steadily increasing data on individual variation. Currently available tools allow de novo ...

User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of the alignments produced by automated alignment algorithms. In this paper, we present a broad study on ...

Ontology-based knowledge bases (KBs) like DBpedia are very valuable resources, but their usefulness and usability are limited by various quality issues. One such issue is the use of string literals instead of semantically ...

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple ...

Is digital management something else than general management? In this paper we contend that it is, both theoretically and in practice. To develop our argument, we suggest a framework for understanding the particular aspects ...

We study perfusion by a multiscale model coupling diffusion in the tissue and diffusion along the one-dimensional segments representing the vasculature. We propose a block-diagonal preconditioner for the model equations ...

We introduce a machine learning technique to autonomously generate novel melodies that are variations of an arbitrary base melody. These are produced by a neural network that ensures that (with high probability) the melodic ...

Modern workloads often exceed the processing and I/O capabilities provided by resource virtualization, requiring direct access to the physical hardware in order to reduce latency and computing overhead. For computers ...

The usefulness of tabular data such as web tables critically depends on understanding their semantics. This study focuses on column type prediction for tables without any meta data. Unlike traditional lexical matching-based ...

We present the participation of LogMap and its variants in the OAEI 2019 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is ...

Heterogeneous mechanical dyskinesis has been implicated in many arrhythmogenic phenotypes. Strain-dependent perturbations to cardiomyocyte electrophysiology may contribute to this arrhythmogenesis through processes referred ...

This paper presents a duty cycle-based, dual-mode simultaneous wireless information and power transceiver (SWIPT) for Internet of Things (IoT) devices in which a sensor node monitors the received power and adaptively ...

Large-scale software development is increasingly making use of agile practices. In large-scale projects, a team needs to align with other teams and the rest of the organization. This has been shown to threaten team autonomy, ...

Mathematical models describing the dynamics of the cardiac action potential are of great value for understanding how changes to the system can disrupt the normal electrical activity of cells and tissue in the heart. However, ...

Constraints have traditionally been used to ensure data quality. Recently, several constraint languages such as SHACL, as well as mechanisms for constraint validation, have been proposed for Knowledge Graphs (KGs). KGs are ...

The connection method has earned good reputation in the area of automated theorem proving, due to its simplicity, efficiency and rational use of memory. This method has been applied recently in automatic provers that reason ...

Sampling-based motion planning is a powerful tool in solving the motion planning problem for a variety of different robotic platforms. As its application domains grow, more complicated planning problems arise that challenge ...

Background:Studies on the relationship between carotid atherosclerosis and cognitive function in subjects from the general population are few and results have been inconsistent. Objective:We aimed to investigate the ...

The Gasterosteidae fish family hosts several species that are important models for eco-evolutionary, genetic and genomic research. In particular, a wealth of genetic and genomic data has been generated for the three-spined ...

Introduction: Help at birth is one of the historically oldest volunteers supports that a woman has offered to another woman. One of the reasons for high maternal and infant mortality was identified as a lack of basic medical ...

Recently, the advancement in communications, intelligent transportation systems, and computational systems has opened up new opportunities for intelligent traffic safety, comfort, and efficiency solutions. Artificial ...

Proximity service (ProSe), using the geographic location and device information by considering the proximity of mobile devices, enriches the services we use to interact with people and things around us. ProSe has been used ...

Although e-health is an area recognized as essential in the rapid development of healthcare systems in low resource contexts, many challenges prevent the emergence of an effective e-health ecosystem. Lack in capacity around ...

We propose a novel procedure for solving the Deconvolution Approach to the Mapping of Acoustic Sources (DAMAS) inverse problem. The proposed procedure is a two-stage, hybrid greedy/non-greedy algorithm based on orthogonal ...

The notion of autonomous teams is core to agile software development. However, autonomy in agile teams is challenged by increasingly complex software projects, large-scale agile and perhaps increasingly multidisciplinary ...

Enterprise Architecture Management (EAM) aims to deal with the complexities of information technology (IT) solutions and to achieve more organizational agility. EAM is a holistic approach to IT architecture, but the results ...

Background Recent epidemiological evidence shows that colorectal cancer (CRC) continues to occur in carriers of pathogenic mismatch repair (path_MMR) variants despite frequent colonoscopy surveillance in ...

Background Information technology has transformed the way healthcare is conducted. There is a deluge of patient data dispersed in different systems that are commonly not interoperable. As a result, access ...

Health information systems (HIS) in developing countries constantly face human resource-related issues such as low capacity and high staff turn-over. When combined with high national demands, it is even more difficult to ...

We measure the intensity of diachronic semantic shifts in adjectives in English, Norwegian and Russian across 5 decades. This is done in order to test the hypothesis that evaluative adjectives are more prone to temporal ...

We extend the well-known word analogy task to a one-to-X formulation, including one-to-none cases, when no correct answer exists. The task is cast as a relation discovery problem and applied to historical armed conflicts ...

General purpose operating systems are widely in use for running many different applications on a big selection of hardware. Such an operating system must be quite complete in order to provide virtual memory, scheduling, ...

Thanks to the popularity of mobile devices numerous location-based services (LBS) have emerged. While several privacy-preserving solutions for LBS have been proposed, most of these solutions do not consider the fact that ...

We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...

We introduce Dynamic Structural Operational Semantics (DSOS or Dynamic SOS) as a framework for describing semantics of programming languages that include dynamic software upgrades, i.e., for upgrading software code during ...

Agile practices are popular within software development. But when applied to large projects with many teams, coordination challenges arise. The projects working title “Coordination in large-scale agile software development: ...

Denne masteroppgaven beskriver en case studie om plan- og prosedyreverktøyet e-Plan til bruk for å strukturere hverdagen til mennesker som har diagnosen psykisk utviklingshemming. Gjennom intervjuer og observasjoner med ...

Mobile robots operating in seniors' homes can serve as social companions and assist with daily tasks, thus enhancing the seniors' quality of life. In order for robots to assist seniors, it is crucial that they are equipped ...

DHIS2 is a web application originally designed for collecting and aggregating statistical health data. DHIS2 is used in 60 different countries, each with its own implementation. In recent years there has been a shift towards ...

In recent years, research in machine intelligence has gained increased momentum, where neural network models have made significant contributions in various fields, like image classification and language understanding. ...

Empirical studies of information and communication technology (ICT) is often done by researchers who work closely with practitioners. Acquiring a role as an insider researcher gives the researcher performative knowledge ...

The Norwegian Welfare Administration (NAV) annually posts a large dataset of job announcements. Each announcement is classified with an occupation code, and today NAV performs this classification of announcements manually ...

This thesis examines the use of neural network methods for classifying parliamentary speeches by textual content. It introduces previous work in the field using traditional methods, and discusses aspects of the Talk of ...

Single cell RNA-sequencing is an increasingly popular tool for investigating the variability in gene expression between individual cells. Compared to the previously wide spread methods such as bulk RNA-sequencing, the ...

Suksesskriterier for fremtidens elektroniske pasientjournal (EPJ) ligger i strukturerte data, delte data, mulighet for kommunikasjon på tvers av helseforetak og pasientens mulighet for involvering i eget sykdombildet. I ...