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The Role of Physical Prototyping in Participatory Design with Older Adults 
Bråthen, Heidi; Maartmann-Moe, Harald; Schulz, Trenton Wade (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
How can older adults actively participate in the design processes of assistive robots designed for their homes? We have organized workshops with a group of older adults who worked actively with materials and physical ...
Immersion as a Strategy to Facilitate Participatory Design Involving People With Intellectual Disabilities and Caretakers as Proxies 
Dæhlen, Åsmund; Joshi, Suhas Govind (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper reports from the early phase of a Participatory Design (PD) process where the goal is to design technology that involves people with Intellectual Disabilities (ID) and their caretakers as participants. The ...
Transforming Digital Infrastructures through Platformization 
Bygstad, Bendik; Hanseth, Ole (Book chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network 
Rokkones, Anders Skibeli; Uddin, Md Zia; Tørresen, Jim (Book chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
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) ...
A Practical Methodology for Anonymization of Structured Health Data 
Aminifar, Amin; Lamo, Yngve; Pun, Ka I; Rabbi, Fazle (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
Investigating the Delay Impact of the DiffServ Code Point (DSCP) 
Welzl, Michael; Islam, Safiqul; Barik, Runa; Gjessing, Stein; Elmokashfi, Ahmed (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
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 ...
Dependency Management in Large-Scale Agile: A Case Study of DevOps Teams 
Stray, Viktoria; Moe, Nils Brede; Aasheim, Andreas (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Managing dependencies between teams and within teams is critical when running large-scale agile projects. In large-scale software development, work is carried out simultaneously by many developers and development teams. ...
Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise 
Weber, Aline; Alegre, Lucas N.; Tørresen, Jim; Castro da Silva, Bruno (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
Sentiment analysis is not solved! Assessing and probing sentiment classification 
Barnes, Jeremy Claude; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
RaveForce: A Deep Reinforcement Learning Environment for Music 
Lan, Qichao; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
How to Control a TCP: Minimally-Invasive Congestion Management for Datacenters 
Islam, Safiqul; Welzl, Michael; Gjessing, Stein (Chapter / Bokkapittel / SubmittedVersion, 2019)
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 ...
Material Conditions of Collaborative Knowledge Construction: The Case of Monoplant 
Mørch, Anders Irving; Murad, Hani; Herstad, Jo; Seibt, Sjur; Kjelling, Morten Oveson (Chapter / Bokkapittel / SubmittedVersion, 2019)
Monoplant is a prototype of an educational construction kit that provides teachers and secondary school students with hands-on experience on plant biology. We present the design rationale of Monoplant and report on its ...
Results of the Ontology Alignment Evaluation Initiative 2019 
Jimenez-Ruiz, Ernesto (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
Learning Semantic Annotations for Tabular Data 
Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian; Sutton, Charles A (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
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 ...
LogMap Family Participation in the OAEI 2019 
Jimenez-Ruiz, Ernesto (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
Tagging a Norwegian Dialect Corpus 
Kåsen, Andre; Hagen, Kristin; Nøklestad, Anders; Priestley, Joel (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...
Team Autonomy in Large-Scale Agile 
Moe, Nils Brede; Dahl, Bjørn Haug; Stray, Viktoria; Karlsen, Lina Sund; Schjødt-Osmo, Stine (Chapter / Bokkapittel / PublishedVersionAcceptedVersionPublishedVersionAcceptedVersion; Peer reviewed, 2019)
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, ...
A Deep Learning Approach to Dynamic Passive RTT 
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events 
Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
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 ...
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian 
Rodina, Julia; Bakshandaeva, Daria; Fomin, Vadim; Kutuzov, Andrei; Touileb, Samia; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
One-to-X Analogical Reasoning on Word Embeddings: a Case for Diachronic Armed Conflict Prediction from News Texts 
Kutuzov, Andrei; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 ...
Lexicon information in neural sentiment analysis: a multi-task learning approach 
Barnes, Jeremy Claude; Touileb, Samia; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM sentiment classifier to incorporate information from sentiment ...
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks 
Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim; Martin, Charles Patrick (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Generating convincing music via deep neural networks is a challenging problem that shows promise for many applications including interactive musical creation. One part of this challenge is the problem of generating convincing ...
Reinforcement-based denoising of distantly supervised NER with partial annotation 
Nooralahzadeh, Farhad; Lønning, Jan Tore; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Existing named entity recognition (NER) systems rely on large amounts of human-labeled data for supervision. However, obtaining large-scale annotated data is challenging particularly in specific domains like health-care, ...
Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian 
Mæhlum, Petter; Barnes, Jeremy Claude; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from ...
A Physical Intelligent Instrument using Recurrent Neural Networks 
Næss, Torgrim Rudland; Martin, Charles Patrick (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper describes a new intelligent interactive instrument, based on an embedded computing platform, where deep neural networks are applied to interactive music generation. Even though using neural networks for music ...
Evaluation Framework for Real-Time Adaptive 360-Degree Video Streaming over 5G Networks 
Midoglu, Cise; Alay Erduran, Özgü; Griwodz, Carsten (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The end-to-end distribution of real-time 360-degree video needs to be evaluated in a wholesome manner, considering all aspects from video capture to encoding, delivery, and playback, as well as timely and appropriate ...
Docker-Based Evaluation Framework for Video Streaming QoE in Broadband Networks 
Midoglu, Cise; Zabrovskiy, Anatoliy,; Alay Erduran, Özgü; Hoelbling-Inzko, Daniel; Griwodz, Carsten; Timmerer, Christian (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Video streaming is one of the top traffic contributors in the Internet and a frequent research subject. It is expected that streaming traffic will grow 4-fold for video globally and 9-fold for mobile video between 2017 and ...
Evolved embodied phase coordination enables robust quadruped robot locomotion 
Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav; Glette, Kyrre (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
Overcoming robotics challenges in the real world requires resilient control systems capable of handling a multitude of environments and unforeseen events. Evolutionary optimization using simulations is a promising way to ...
Paced Chirping: Rapid flow start with very low queuing delay 
Misund, Joakim; Briscoe, Bob (Chapter / Bokkapittel / SubmittedVersion, 2019)
This paper introduces a promising new direction for getting a traffic flow up to speed fast while keeping the maximum queuing delay that the new flow adds extremely low. It is therefore most interesting in environments ...
Chaining of hardware accelerated Virtual Network Functions in PCIe Environments 
Kundel, Ralf; Burkert, Tim; Griwodz, Carsten; Koldehofe, Boris (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The growth of compute-intensive applications causes an increasing demand for computing resources in both data centers and underlying networks. To satisfy these computing and networking demands, hardware-accelerated computing ...
Architectural Technical Debt in Microservices: A Case Study in a Large Company 
Soares De Toledo, Saulo; Martini, Antonio; Przybyszewska, Agata; Sjøberg, Dag (Chapter / Bokkapittel / SubmittedVersion, 2019)
Introduction: Software companies aim to achieve continuous delivery to constantly provide value to their customers. A popular strategy is to use microservices architecture. However, such an architecture is also subject to ...
Data Infrastructures in the Public Sector: A Critical Research Agenda Rooted in Scandinavian IS Research 
Parmiggiani, Elena; Grisot, Miria (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Extant Information Systems research emphasizes the strategic benefits of digitalization and value co-creation for business. Less is known, however, about the dynamics of how value is co-created in the digitalization of the ...
Innovation Readiness in Healthcare Information Infrastructures: Key Resources to Enable Collaborative Digital Innovation 
Aanestad, Margunn; Vassilakopoulou, Polyxeni (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This paper describes key requirements for digital innovation readiness in the public healthcare sector. Collaborative innovation models, where internal and external innovators contribute their ideas and solutions put certain ...
Free-Improvised Rehearsal-as-Research for Musical HCI 
Martin, Charles Patrick; Gardner, Henry (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
The formal evaluation of new interfaces for musical expression (NIMEs) in their use by ensembles of musicians is a challenging problem in human-computer interaction (HCI). NIMEs are designed to support creative expressions ...
Sub-voxel Perfusion Modeling in Terms of Coupled 3d-1d Problem 
Holter, Karl Erik; Kuchta, Miroslav; Mardal, Kent-Andre (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
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 ...
A Programmable Hardware Calendar for High Resolution Pacing 
Pontarelli, Salvatore; Bianchi, Giuseppe; Welzl, Michael (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The challenge addressed in this paper consists in offloading packet-based pacing to a hardware Network Interface Card, while retaining the flexibility of software timers. In this direction, we propose, design, implement, ...
Diachronic word embeddings and semantic shifts: a survey 
Kutuzov, Andrei; Øvrelid, Lilja; Szymanski, Terrence; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
Recent years have witnessed a surge of publications aimed at tracing temporal changes in lexical semantics using distributional methods, particularly prediction-based word embedding models. However, this vein of research ...
Unsupervised Semantic Frame Induction using Triclustering 
Ustalov, Dmitry; Panchenko, Alexander; Kutuzov, Andrei; Biemann, Chris; Ponzetto, Simone (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
We use dependency triples automatically extracted from a Web-scale corpus to perform unsupervised semantic frame induction. We cast the frame induction problem as a triclustering problem that is a generalization of clustering ...
This is not you! Indentity crisis in the 21st century 
Gasparini, Andrea (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
Identity today has become a complex issue. An average user of the Internet has accounts on several services, and several traces of use are gathered by large companies. However, the same companies are using Artificial ...
Securing the Internet of Things with Recursive InterNetwork Architecture (RINA) 
Ramezanifarkhani, Toktam; Teymoori, Peyman (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
—Communication technology improvements have inspired the idea of connecting almost every things to the Internet: from home appliances, medical devices, and cars, to large infrastructures. A unified and secure network of ...
Computer-Aided Reproducibility 
Marek, Marcel; Teymoori, Peyman; Welzl, Michael; Gjessing, Stein (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Computer networks research has been notoriously bad at reproducibility – a key aspect of making research results credible and convincing. This has been attributed to a lack of incentive for researchers to share the data ...
Walking Away from the Robot: Negotiating Privacy with a Robot 
Schulz, Trenton Wade; Herstad, Jo (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
Privacy is often applied as an abstract concept in law and regulations. In everyday life, negotiating what information to share with whom, where, and at what times, and in what situations may be a challenge at home and in ...
Moving with Style: Classifying Human and Robot Movement at Home 
Schulz, Trenton Wade; Herstad, Jo; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
A robot moving in the home is a new experience for most people. Classifying the different ways that humans and robots move together can help in designing interactions. In this paper, we first put robots’ movements into two ...
Facilitating Robots at Home: A Framework for Understanding Robot Facilitation 
Soma, Rebekka; Søyseth, Vegard Dønnem; Søyland, Magnus; Schulz, Trenton Wade (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
One of the primary characteristics of robots is the ability to move autonomously in the same space as humans. In what ways does movement influence the interaction between humans and robot? In this paper, we examine how ...
Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly 
Schulz, Trenton Wade; Herstad, Jo; Holone, Harald (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy ...
Lightweight and flexible single-path congestion control coupling 
Islam, Safiqul; Welzl, Michael; Gjessing, Stein (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Communication between two Internet hosts using parallel connections may result in unwanted interference between the connections. In this dissertation, we propose a sender-side solution to address this problem by letting ...
Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network 
Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item recognition and classification or self-driving ...
Insights in evolutionary exploration of robot morphology spaces 
Miras, Karine; Gansekoele, Arwin; Glette, Kyrre; Eiben, AE (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
In a recent study we have encountered an unexpected result regarding the evolutionary exploration of robot morphology spaces. Specifically, we found that an algorithm driven by selection based on morphological novelty ...
Transition-oriented Futuring: Integrated Design for Decreased Consumption amongst Millennials 
Srivastava, Swati; Culén, Alma Leora (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper is concerned with the problem of overconsumption and opportunities to create alternative marketplaces that could ease the transition towards less, and different ways of consuming in everyday life. We argue that ...
Energy Usage Forecasting for LTE: A Network-Wide Traffic Measurements Study 
Kure, Endre Hegland; Engelstad, Paal E.; Maharjan, Sabita; Gjessing, Stein; Zhang, Xing; Zhang, Yan (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Energy usage in LTE base stations are driven by spectral efficiency and traffic. To predict the energy usage these parameters must be forecasted. In this work we analyse hourly measurements collected from more than 12000 ...
A Distributed Offloading Market for 5G Heterogeneous Networks 
Kure, Endre Hegland; Maharjan, Sabita; Gjessing, Stein; Zhang, Yan (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Concerns have been raised regarding the economical viability for each operator to have a full regional 5G coverage. A possible solution is to have traffic offloaded to competitors. In this work we present a new scheme for ...
Real-world evolution adapts robot morphology and control to hardware limitations 
Nygaard, Tønnes Frostad; Martin, Charles Patrick; Samuelsen, Eivind; Tørresen, Jim; Glette, Kyrre (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
For robots to handle the numerous factors that can afect them in the real world, they must adapt to changes and unexpected events. Evolutionary robotics tries to solve some of these issues by automatically optimizing a ...
Entangling, Oscillating, Frilux-ing: Branding the art of design 
Pandey, Sumit (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
Recent strategic design and management discourse has identified gaps in the current framing of design for organisations, specifically highlighting a lack of discussions related to emergent design cultures and calling for ...
On General Sum Approximations of Irrational Numbers 
Georgiev, Ivan; Kristiansen, Lars; Stephan, Frank (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Horizontal Affordances for Patient Centred Care in Hospitals 
Bygstad, Bendik; Magnus, Bergquist (Book chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
While it is generally accepted that patient centred care should be the guiding principle for the delivery of health services, it is not yet clear how this should be digitalised. What is clear, however, is that the current ...
Co-exploring Interaction Opportunities for Enabling Technologies for People with Rheumatic Disorder 
Joshi, Suhas Govind; Valen, Jørgen (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper presents a case of co-design for people with rheumatic disorder to support the argument of opening up the design space to include interaction opportunities found in the physical world. The position argued for ...
Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition 
Khaksar, Weria; Uddin, Md Zia; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
As the application domains of sampling-based motion planning grow, more complicated planning problems arise that challenge the functionality of these planners. One of the main challenges in the implementation of a ...
Creating Coordinative Paths from admission to discharge: The role of lightweight IT in hospital digital process innovation 
Øvrelid, Egil; Sanner, Terje Aksel; Siebenherz, Anette (Chapter / Bokkapittel / SubmittedVersion, 2018)
In this paper, we examine the role of IT in process innovations related to patient flow from emergency care admission, through subsequent patient transfers, and discharge. In particular, we explore how digital technology ...
Solving Security and Privacy Threats in Agile Software Development 
Rygge, Hanne; Jøsang, Audun (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Secure software development represents a fundamental part of ‘security by design’ which in turn is a prerequisite for ‘privacy by design’ in the terminology of GDPR (General Data Protection Regulation). To follow and adhere ...
Uncertainty Characteristics of Subjective Opinions 
Jøsang, Audun; Cho, Jin-Hee; Chen, Feng (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
In this work, we study different types of uncertainty in subjective opinions based on the internal belief mass distribution and the base rate distribution. Subjective opinions which are used as arguments in subjective logic ...
Exploring the role of feedback on trust for the robots used in homes of the elderly 
Newaz, Fahd; Saplacan, Diana (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper explores the role of design and use of digital feedback mechanisms in domestic autonomous devices. We explore this in relation to elderly’s trust towards robots. Specifically, the paper reflects on a case study ...
Quantifying the Signal Quality of Low-cost Respiratory Effort Sensors for Sleep Apnea Monitoring 
Fredrik, Løberg; Goebel, Vera Hermine; Plagemann, Thomas Peter (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Obstructive Sleep Apnea (OSA) is a common, but severely under- diagnosed sleep disorder characterized by recurring periods of shallow or paused breathing during sleep. It is our long-term goal to allow people to perform ...
DCEP-Sim: An Open Simulation Framework for Distributed CEP: Introduction for Users and Prospective Developers 
Starks, Fabrice; Kristiansen, Stein; Plagemann, Thomas Peter (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Evaluation of Distributed Complex Event Processing (CEP) systems is a rather challenging task. To simplify this task, we developed the open simulation framework for Distributed CEP, called DCEP-Sim. The goal of this tutorial ...
Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly 
Schulz, Trenton Wade; Herstad, Jo; Holone, Harald (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we examine different understandings of privacy ...
NoReC: The Norwegian Review Corpus 
Velldal, Erik; Øvrelid, Lilja; Bergem, Eivind Alexander; Stadsnes, Cathrine; Touileb, Samia; Jørgensen, Fredrik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected from major Norwegian news sources and ...
ctrlTCP: Reducing latency through coupled, heterogeneous multi-flow TCP congestion control 
Islam, Safiqul; Welzl, Michael; Hiorth, Kristian Andreas; Hayes, David; Armitage, Grenville; Gjessing, Stein (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
We present ctrlTCP, a method to combine the congestion controls of multiple TCP connections. In contrast to the previous methods such as the Congestion Manager, ctrlTCP can couple all TCP flows that leave one sender, ...
Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation 
Fares, Murhaf; Oepen, Stephan; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compounds. Through a comprehensive series of ...
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements 
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Long Short-Term Memory (LSTM) neural networks are a state-of-the-art techniques when it comes to sequence learning and time series prediction models. In this paper, we have used LSTM-based Recurrent Neural Networks (RNN) ...
Feedback from Digital Systems Used in Higher Education: An Inquiry into Triggered Emotions - Two Universal Design Oriented Solutions for a Better User Experience 
Saplacan, Diana; Herstad, Jo; Pajalic, Zada (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
We illustrate in this paper some of the negative emotions experienced by students when interacting with digital systems in learning situations, where there is a lack of feedback, or the interaction with digital systems is ...
Fear, Feedback, Familiarity… How are These Connected? – Can familiarity as a design concept applied to digital feedback reduce fear? 
Saplacan, Diana; Herstad, Jo (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper is a reflective paper discussing fear, and the emotions associated with it, felt by the elderly while using modern technologies. The pattern of fear emerged from our initial research activities. The preliminary ...
Reflections on using Story-Dialogue Method in a workshop with interaction design students 
Saplacan, Diana; Herstad, Jo; Elsrud, Marthe N.; Pajalic, Zada (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
Various narrative methods have been used in Human-Computer Interaction field (HCI), such as digital storytelling, and co-construction of stories. In this position paper, we shed light on the Story-Dialogue Method (SDM) ...
Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks 
Miseikis, Justinas; Knobelreiter, Patrick; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as given. This can be the case when sensors ...
Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images 
Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
The field of collaborative robotics and humanrobot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configuration being known. This is often the case ...
Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company 
Martini, Antonio; Arcelli Fontana, Francesca; Biaggi, Andrea; Roveda, Riccardo (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Architectural technical debt can have a huge impact on software maintainability and evolution. Hence, different architectural violations, detected as architectural smells, need to be identified and refactored. In this ...
Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors 
Miras, Karine; Haasdijk, Evert; Glette, Kyrre; Eiben, AE (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
This paper investigates the evolution of modular robots using different selection preferences (i.e., fitness functions), aiming at novelty, speed of locomotion, number of limbs, and com- binations of these. The outcomes ...
Embracing Technical Debt, from a Startup Company Perspective 
Besker, Terese; Martini, Antonio; Lokuge, Rumesh Edirisooriya; Blincoe, Kelly; Bosch, Jan (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
Software startups are typically under extreme pressure to get to market quickly with limited resources and high uncertainty. This pressure and uncertainty is likely to cause startups to accumulate technical debt as they ...
Decidable and Undecidable Fragments of First-Order Concatenation Theory 
Kristiansen, Lars; Murwanashyaka, Juvenal (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2018)
We identify a number of decidable and undecidable fragments of first-order concatenation theory. We also give a purely universal axiomatization which is complete for the fragments we identify. Furthermore, we prove some ...
Dynamic mutation in MAP-Elites for robotic repertoire generation 
Nordmoen, Jørgen Halvorsen; Samuelsen, Eivind; Ellefsen, Kai Olav; Glette, Kyrre (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
One of the core functions in most Evolutionary Algorithms is mutation. In complex search spaces, which are common in Evolutionary Robotics, mutation is often used both for optimizing existing solutions, described as ...
Redefining Context Windows for Word Embedding Models: An Experimental Study 
Kutuzov, Andrei; Lison, Pierre (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Distributional semantic models learn vector representations of words through the contexts they occur in. Although the choice of context (which often takes the form of a sliding window) has a direct influence on the resulting ...
Word vectors, reuse, and replicability: Towards a community repository of large-text resources 
Kutuzov, Andrei; Fares, Murhaf; Oepen, Stephan; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper describes an emerging shared repository of large-text resources for creating word vectors, including pre-processed corpora and pre-trained vectors for a range of frameworks and configurations. This will facilitate ...
Designing for the Second-Hand Use of Consumer Goods 
Srivastava, Swati; Culén, Alma Leora (Chapter / Bokkapittel / SubmittedVersion, 2017)
In this paper, we present results from a research through design inquiry into the design space of second-hand use of consumer goods and their potential for creating more sustainable and less consumerism-oriented lifestyles. ...
Clustering of Russian Adjective-Noun Constructions using Word Embeddings 
Kutuzov, Andrei; Kuzmenko, Elizaveta; Pivovarova, Lidia (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper presents a method of automatic construction extraction from a large corpus of Russian. The term ‘construction’ here means a multi-word expression in which a variable can be replaced with an- other word from the ...
MicroJam: An App for Sharing Tiny Touch-Screen Performances 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
MicroJam is a mobile app for sharing tiny touch-screen performances. Mobile applications that streamline creativity and social interaction have enabled a very broad audience to develop their own creative practices. While ...
Mapping Repair in Ontology-based Data Access Evolving Systems 
Lembo, Domenico; Rosati, Riccardo; Santarelli, Valerio; Savo, Domenico Fabio; Thorstensen, Evgenij (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2017)
In this paper we study the evolution of ontologybased data access (OBDA) specifications, and focus on the case in which the ontology and/or the data source schema change, which may require a modification to the mapping ...
A Cloud-Assisted Tree-Based P2P System for Low Latency Streaming 
Provensi, Lucas Luiz; Eliassen, Frank; Vitenberg, Roman (Chapter / Bokkapittel / SubmittedVersion, 2017)
Live media streaming applications are increasingly popular, with services such as Twitch.tv and YouNow being used by millions of people. Deploying such services on the cloud can be very expensive, as the cost is proportional ...
Tracing armed conflicts with diachronic word embedding models 
Kutuzov, Andrei; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Recent studies have shown that word embedding models can be used to trace time-related (diachronic) semantic shifts for particular words. In this paper, we evaluate some of these approaches on the new task of predicting ...
Participatory Continuing Design: “Living with” Videoconferencing in Rehabilitation 
Aanestad, Margunn; Driveklepp, Anne Merete; Sørli, Hilde; Hertzum, Morten (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2017)
While much research emphasizes design-before-use, we here study design-in-use. The notion of participatory continuing design is introduced to draw attention to the ongoing work of incorporating information and communication ...
Are Daily Stand-up Meetings Valuable? A Survey of Developers in Software Teams 
Stray, Viktoria; Moe, Nils Brede; Bergersen, Gunnar R. (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
The daily stand-up meeting is a widely used practice. However, what is more uncertain is how valuable the practice is to team members. We invited professional developers of a programming forum to a survey and obtained 221 ...
fling: A Flexible Ping for Middlebox Measurements 
Barik, Runa; Welzl, Michael; Elmokashfi, Ahmed Mustafa Abdalla; Gjessing, Stein; Islam, Safiqul (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Middleboxes in private networks have been known to change packets in many ways, making it hard to design protocol extensions that work for the large majority of Internet users. Addressing the need to know what such middleboxes ...
Process Innovation Meeets Digital Infrastructure in a High-Tech Hospital 
Bygstad, Bendik; Hanseth, Ole; Siebenherz, Anette; Øvrelid, Egil (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2017)
Digitalisation is usually about process innovation with the use of IT, i.e. automating or informating organisational processes. However, redesigned processes are often misaligned with the underlying digital infrastructure. ...
Analysis of Lamarckian Evolution in Morphologically Evolving Robots 
Jelisavcic, Milan; Kiesel, Rafael; Glette, Kyrre; Haasdijk, Evert; Eiben, AE (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2017)
Evolving robot morphologies implies the need for lifetime learning so that newborn robots can learn to manipulate their bodies. An individual’s morphology will obviously combine traits of all its parents; it must adapt its ...
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants 
Kutuzov, Andrei; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper deals with using word embedding models to trace the temporal dynamics of semantic relations between pairs of words. The set-up is similar to the well-known analogies task, but expanded with a time dimension. To ...
Exploring Social Mobile Music with Tiny Touch-Screen Performances 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Touch-screen musical performance has become commonplace since the widespread adoption of mobile devices such as smartphones and tablets. However, mobile digital musical instruments are rarely designed to emphasise collaborative ...
Operational Semantics of a Weak Memory Model inspired by Go 
Fava, Daniel Schnetzer; Stolz, Volker; Valle, Stian (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
A memory model dictates which values may be returned when reading from memory. In a parallel computing setting, the memory model affects how processes communicate through shared memory. The design of a proper memory model ...
Joint UD Parsing of Norwegian Bokmål and Nynorsk 
Velldal, Erik; Øvrelid, Lilja; Hohle, Petter (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper investigates interactions in parser performance for the two official standards for written Norwegian: Bokmål and Nynorsk. We demonstrate that while applying models across standards yields poor performance, ...
Optimizing a PoS Tagset for Norwegian Dependency Parsing 
Hohle, Petter; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper reports on a suite of experiments that evaluates how the linguistic granularity of part-of-speech tagsets impacts the performance of tagging and syntactic dependency parsing. Our results show that parsing accuracy ...
Wordnet extension via word embeddings: Experiments on the Norwegian Wordnet 
Sand, Heidi; Velldal, Erik; Øvrelid, Lilja (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper describes the process of automatically adding synsets and hypernymy relations to an existing wordnet based on word embeddings computed for POStagged lemmas in a large news corpus, achieving exact match attachment ...
Optimizing Distributed Resource Allocation using Epistemic Game Theory: A Model-driven Engineering Approach 
Rabbi, Fazle; Kristensen, Lars Michael; Lamo, Yngve (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
Abstract: Distributed systems modelling often involves a set of heterogeneous models where each model specifies a set of local constraints capturing a specific view of the system. In real life, distributed systems are often ...
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