Simula Research Lab

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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

Semantic image segmentation is the process of labeling each pixel of an ...
06/08/2020 ∙ by Debesh Jha, et al. ∙ 64 ∙ share

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Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies

Shapley values have become increasingly popular in the machine learning ...
07/12/2020 ∙ by Daniel Vidali Fryer, et al. ∙ 52 ∙ share

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Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Background: The trend towards large-scale studies including population i...
01/27/2019 ∙ by Robert Robinson, et al. ∙ 38 ∙ share

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Few-shot segmentation of medical images based on meta-learning with implicit gradients

Classical supervised methods commonly used often suffer from the require...
06/06/2021 ∙ by Rabindra Khadga, et al. ∙ 19 ∙ share

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A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

Colonoscopy is considered the gold standard for detection of colorectal ...
07/26/2021 ∙ by Debesh Jha, et al. ∙ 14 ∙ share

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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

With the increase in available large clinical and experimental datasets,...
03/31/2021 ∙ by Nikhil Kumar Tomar, et al. ∙ 11 ∙ share

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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

Methods based on convolutional neural networks have improved the perform...
05/16/2021 ∙ by Abhishek Srivastava, et al. ∙ 8 ∙ share

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Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples

Deep neural network architectures are considered to be robust to random ...
02/08/2021 ∙ by Omer Faruk Tuna, et al. ∙ 2 ∙ share

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Human-level CMR image analysis with deep fully convolutional networks

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
10/25/2017 ∙ by Wenjia Bai, et al. ∙ 0 ∙ share

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Adaptive multi-penalty regularization based on a generalized Lasso path

For many algorithms, parameter tuning remains a challenging and critical...
10/11/2017 ∙ by Markus Grasmair, et al. ∙ 0 ∙ share

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A Combined Approach for Constraints over Finite Domains and Arrays

Arrays are ubiquitous in the context of software verification. However, ...
12/01/2013 ∙ by Sébastien Bardin, et al. ∙ 0 ∙ share

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Exploiting Binary Floating-Point Representations for Constraint Propagation: The Complete Unabridged Version

Floating-point computations are quickly finding their way in the design ...
08/18/2013 ∙ by Roberto Bagnara, et al. ∙ 0 ∙ share

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Block-Diagonal and LT Codes for Distributed Computing With Straggling Servers

We propose two coded schemes for the distributed computing problem of mu...
12/21/2017 ∙ by Albin Severinson, et al. ∙ 0 ∙ share

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A Closer Look into Mobile Network Speed Measurements

As the demand for mobile connectivity continues to grow, there is a stro...
10/21/2017 ∙ by Cise Midoglu, et al. ∙ 0 ∙ share

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Code Constructions for Distributed Storage With Low Repair Bandwidth and Low Repair Complexity

We present the construction of a family of erasure correcting codes for ...
01/18/2018 ∙ by Siddhartha Kumar, et al. ∙ 0 ∙ share

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A distributed-memory approximation algorithm for maximum weight perfect bipartite matching

We design and implement an efficient parallel approximation algorithm fo...
01/30/2018 ∙ by Ariful Azad, et al. ∙ 0 ∙ share

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An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers

CONTEXT: The role of expert judgement is essential in our quest to impro...
04/11/2018 ∙ by Martin Shepperd, et al. ∙ 0 ∙ share

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Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys

Requirements Engineering (RE) has established itself as a software engin...
05/21/2018 ∙ by Stefan Wagner, et al. ∙ 0 ∙ share

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Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks

The emergence of computation intensive on-vehicle applications poses a s...
07/23/2018 ∙ by Yueyue Dai, et al. ∙ 0 ∙ share

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MPTCP meets FEC: Supporting Latency-Sensitive Applications over Heterogeneous Networks

Over the past years, TCP has gone through numerous updates to provide pe...
07/29/2018 ∙ by Simone Ferlin, et al. ∙ 0 ∙ share

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Private Information Retrieval From a Cellular Network With Caching at the Edge

We consider the problem of downloading content from a cellular network w...
09/04/2018 ∙ by Siddhartha Kumar, et al. ∙ 0 ∙ share

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A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net

Despite recent advances in regularisation theory, the issue of parameter...
09/23/2018 ∙ by Ernesto De Vito, et al. ∙ 0 ∙ share

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Construction D^' Lattices from Quasi-Cyclic Low-Density Parity-Check Codes

Recently, Branco da Silva and Silva described an efficient encoding and ...
10/04/2018 ∙ by Siyu Chen, et al. ∙ 0 ∙ share

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The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

In this paper, we present our approach for the 2018 Medico Task classify...
10/31/2018 ∙ by Vajira Thambawita, et al. ∙ 0 ∙ share

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Stratified Constructive Disjunction and Negation in Constraint Programming

Constraint Programming (CP) is a powerful declarative programming paradi...
11/09/2018 ∙ by Arnaud Gotlieb, et al. ∙ 0 ∙ share

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Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration

Testing in Continuous Integration (CI) involves test case prioritization...
11/09/2018 ∙ by Helge Spieker, et al. ∙ 0 ∙ share

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Wireless Access to Ultimate Virtual Reality 360-Degree Video At Home

Virtual reality 360-degree videos will become the first prosperous onlin...
12/05/2018 ∙ by Huanle Zhang, et al. ∙ 0 ∙ share

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Automatic detection of passable roads after floods in remote sensed and social media data

This paper addresses the problem of floods classification and floods aft...
01/10/2019 ∙ by Kashif Ahmad, et al. ∙ 0 ∙ share

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Towards Testing of Deep Learning Systems with Training Set Reduction

Testing the implementation of deep learning systems and their training r...
01/14/2019 ∙ by Helge Spieker, et al. ∙ 0 ∙ share

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Natural Disasters Detection in Social Media and Satellite imagery: a survey

The analysis of natural disaster-related multimedia content got great at...
01/14/2019 ∙ by Naina Said, et al. ∙ 0 ∙ share

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Nonlinear generalization of the single index model

Single index model is a powerful yet simple model, widely used in statis...
02/24/2019 ∙ by Zeljko Kereta, et al. ∙ 0 ∙ share

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2-CLUB is NP-hard for distance to 2-club cluster graphs

We show that 2-CLUB is NP-hard for distance to 2-club cluster graphs....
03/13/2019 ∙ by Mithilesh Kumar, et al. ∙ 0 ∙ share

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A Study on the Characteristics of Douyin Short Videos and Implications for Edge Caching

Douyin, internationally known as TikTok, has become one of the most succ...
03/29/2019 ∙ by Zhuang Chen, et al. ∙ 0 ∙ share

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Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks

We address the structure identification and the uniform approximation of...
06/30/2019 ∙ by Massimo Fornasier, et al. ∙ 0 ∙ share

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Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In this paper we present our methods for the MediaEval 2019 Mul-timedia ...
10/07/2019 ∙ by Kashif Ahmad, et al. ∙ 0 ∙ share

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ResUNet++: An Advanced Architecture for Medical Image Segmentation

Accurate computer-aided polyp detection and segmentation during colonosc...
11/16/2019 ∙ by Debesh Jha, et al. ∙ 0 ∙ share

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Kvasir-SEG: A Segmented Polyp Dataset

Pixel-wise image segmentation is a highly demanding task in medical-imag...
11/16/2019 ∙ by Debesh Jha, et al. ∙ 0 ∙ share

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On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures

Using large-scale multicore systems to get the maximum performance and e...
12/29/2019 ∙ by Jérémie Lagravière, et al. ∙ 0 ∙ share

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Robust preconditioning for coupled Stokes-Darcy problems with the Darcy problem in primal form

The coupled Darcy-Stokes problem is widely used for modeling fluid trans...
01/15/2020 ∙ by Karl Erik Holter, et al. ∙ 0 ∙ share

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On the Capacity of Private Monomial Computation

In this work, we consider private monomial computation (PMC) for replica...
01/17/2020 ∙ by Yauhen Yakimenka, et al. ∙ 0 ∙ share

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Fast uncertainty quantification of tracer distribution in the brain interstitial fluid with multilevel and quasi Monte Carlo

Mathematical models in biology involve many parameters that are uncertai...
03/04/2020 ∙ by Matteo Croci, et al. ∙ 0 ∙ share

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Parameter robust preconditioning for multi-compartmental Darcy equations

In this paper, we propose a new finite element solution approach to the ...
03/21/2020 ∙ by Eleonora Piersanti, et al. ∙ 0 ∙ share

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Parameter robust preconditioning by congruence for multiple-network poroelasticity

The mechanical behaviour of a poroelastic medium permeated by multiple i...
03/21/2020 ∙ by Eleonora Piersanti, et al. ∙ 0 ∙ share

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A Survey on Universal Design for Fitness Wearable Devices

Driven by the visions of Internet of Things and 5G communications, recen...
06/01/2020 ∙ by Hongjia Wu, et al. ∙ 0 ∙ share

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Learning Objective Boundaries for Constraint Optimization Problems

Constraint Optimization Problems (COP) are often considered without suff...
06/20/2020 ∙ by Helge Spieker, et al. ∙ 0 ∙ share

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Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI

Trustworthiness is a central requirement for the acceptance and success ...
07/14/2020 ∙ by Mohit Kumar Ahuja, et al. ∙ 0 ∙ share

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Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks

This study is a first attempt to experimentally explore the range of per...
07/22/2020 ∙ by G. Patounas, et al. ∙ 0 ∙ share

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Dense Small Satellite Networks for Modern Terrestrial Communication Systems: Benefits, Infrastructure, and Technologies

Dense small satellite networks (DSSN) in low earth orbits (LEO) can bene...
07/30/2020 ∙ by Naveed UL Hassan, et al. ∙ 0 ∙ share

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Sectors, Beams and Environmental Impact on Commercial 5G mmWave Cell Coverage: an Empirical Study

This paper presents the results of a measurement campaign to investigate...
04/13/2021 ∙ by Salman Mohebi, et al. ∙ 0 ∙ share

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Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction

6G – sixth generation – is the latest cellular technology currently unde...
05/09/2021 ∙ by Ferhat Ozgur Catak, et al. ∙ 0 ∙ share

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