168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- KTH Royal Institute of TechnologySE17 papers
- Chalmers University of TechnologySE15 papers
- Lund UniversitySE13 papers
- Luleå University of TechnologySE8 papers
- University of California, BerkeleyUS8 papers
- Blekinge Institute of TechnologySE6 papers
- Uppsala UniversitySE6 papers
- National Physical LaboratoryGB5 papers
- University of GothenburgSE5 papers
- Intel (United States)US4 papers
- Istituto Nazionale di Ricerca MetrologicaIT4 papers
- Physikalisch-Technische BundesanstaltDE4 papers
15 papers · 1 filter
Identifying latent distances with Finslerian geometry
Alison Pouplin, David Eklund, Carl Henrik Ek +1
Riemannian geometry provides us with powerful tools to explore the latent space of generative models while preserving the underlying structure of the data. The latent space can be…
On-device Training: A First Overview on Existing Systems
Shuai Zhu, Thiemo Voigt, JeongGil Ko +1
The recent breakthroughs in machine learning (ML) and deep learning (DL) have catalyzed the design and development of various intelligent systems over wide application domains. Whi…
ICSSIM-A Framework for Building Industrial Control Systems Security Simulation Testbeds
Alireza Dehlaghi-Ghadim, Ali Balador, Mahshid Helali Moghadam +2
With the advent of smart industry, Industrial Control Systems (ICS) are increasingly using Cloud, IoT, and other services to meet Industry 4.0 targets. The connectivity inherent in…
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Mattias Nilsson, Olov Schelén, Anders Lindgren +4
Increasing complexity and data-generation rates in cyber-physical systems and the industrial Internet of things are calling for a corresponding increase in AI capabilities at the r…
Editorial: Special Issue on Collaborative Aspects of Open Data in Software EngineeringJohan
Johan Linåker, Per Runeson, Anneke Zuiderwijk +1
High-quality data has become increasingly important to software engineers in designing and implementing today's software, for example, as an input to machine-learning algorithms an…
Digital Twin-based Intrusion Detection for Industrial Control Systems
Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador +2
Digital twins have recently gained significant interest in simulation, optimization, and predictive maintenance of Industrial Control Systems (ICS). Recent studies discuss the poss…
Amorphous p-Type Conducting Zn-x Ir Oxide (x > 0.13) Thin Films Deposited by Reactive Magnetron Cosputtering
Martins Zubkins, Janis Timoshenko, Jevgenijs Gabrusenoks +4
Zinc-iridium oxide (Zn-Ir-O) thin films have been demonstrated as a p-type conducting material. However, the stability of p-type conductivity with respect to chemical composition o…
Engineering underdoped CuO nanoribbons in nm-thick -axis YBaCuO films
Riccardo Arpaia, Núria Alcalde-Herraiz, Andrea D'Alessio +5
In underdoped cuprate high superconductors, various local orders and symmetry breaking states, in addition to superconductivity, reside in the CuO planes. The…
VEDLIoT: Very Efficient Deep Learning in IoT
Martin Kaiser, Rene Griessl, Nils Kucza +33
The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also deali…
Attestation Mechanisms for Trusted Execution Environments Demystified
Jämes Ménétrey, Christian Göttel, Anum Khurshid +4
Attestation is a fundamental building block to establish trust over software systems. When used in conjunction with trusted execution environments, it guarantees the genuineness of…
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Jens Henriksson, Christian Berger, Markus Borg +3
Several areas have been improved with Deep Learning during the past years. Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achieve…
Highly efficient UV detection in a metal-semiconductor-metal detector with epigraphene
Hans He, Naveen Shetty, Sergey Kubatkin +7
We show that epitaxial graphene on silicon carbide (epigraphene) grown at high temperatures (T > 1850 °C) readily acts as material for implementing solar-blind ultraviolet (UV) det…
Integer Factorization with Compositional Distributed Representations
Denis Kleyko, Connor Bybee, Christopher J. Kymn +5
In this paper, we present an approach to integer factorization using distributed representations formed with Vector Symbolic Architectures. The approach formulates integer factoriz…
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami +1
The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of th…
A Systematic Literature Review of Empirical Research on Quality Requirements
Thomas Olsson, Severine Sentilles, Efi Papatheocharous
Quality requirements deal with how well a product should perform the intended functionality, such as start-up time and learnability. Researchers argue they are important and at the…