A database for publications published by researchers and students at SimulaMet.
Status
Research area
Proceedings, refereed
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence
In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.Status: Accepted
Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence
Meibomian gland dysfunction is the most common cause of dry eye disease, which is a prevalent condition that can damage the ocular surface and cause reduced vision and substantial pain. Meibum secreted from the meibomian glands makes up the majority of the outer, protective lipid layer of the tear film. Changes in the secreted meibum and markers of glandular damage can be detected through tear sampling.
Several studies have investigated the tear film protein expression in meibomian gland dysfunction, but less work apply machine learning to analyze the protein patterns. We use machine learning and methods from explainable artificial intelligence to detect potential clinically relevant proteins in meibomian gland dysfunction. Two different explainable artificial intelligence methods are compared. Several of the proteins found important in the models have been linked to dry eye disease in the past, while some are novel. Consequently, explainable artificial intelligence methods serve as a promising tool for screening for proteins that are relevant for meibomian gland dysfunction. By doing so, one may be able to discover new biomarkers and treatments, and gain a better understanding of how diseases develop.
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023) |
Keywords | Dry eye disease, Explainable artificial intelligence, Machine learning, meibomian gland dysfunction, proteomics |
A 10-Layer Model for Service Availability Risk Management
In 20th International Conference on Security and Cryptography, 2023.Status: Accepted
A 10-Layer Model for Service Availability Risk Management
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | 20th International Conference on Security and Cryptography |
Longitudinal Analysis of Inter-City Network Delays
In Network Traffic Measurement and Analysis Conference (TMA). IEEE/IFIP, 2023.Status: Accepted
Longitudinal Analysis of Inter-City Network Delays
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | Network Traffic Measurement and Analysis Conference (TMA) |
Publisher | IEEE/IFIP |
Keywords | big network data analysis, Internet measurements, longitudinal analysis, RTT delay |
How Large Is the Gap? Exploring MANRS and ISO27001 Security Management
In The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023) . Split, Croatia: IEEE, 2023.Status: Accepted
How Large Is the Gap? Exploring MANRS and ISO27001 Security Management
Ensuring security of network traffic between op- erators is very important. This paper aims to enhance un- derstanding of the relationship between two crucial internet security standards, namely, Mutual Agreed Norms for Rout- ing Security (MANRS) and ISO/IEC 27001 (ISO27001). By examining the correlation between MANRS participation and ISO27001 certification, this study provides insightful analysis. To validate compliance, data from diverse sources such as CAIDA, PeeringDB, and RPKI is correlated. We assess ISO27001 controls that bear relevance to MANRS compliance and illustrate how implementing either framework leads to a reduced risk of security breaches. Moreover, a cost analysis reveals that the simultaneous implementation of MANRS and ISO27001 does not significantly increase costs or complexity.
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023) |
Publisher | IEEE |
Place Published | Split, Croatia |
Keywords | ISO27001, MANRS, risk analysis |
Evolved Cold-Potato routing experiences
In The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023) . Split, Croatia: IEEE, 2023.Status: Accepted
Evolved Cold-Potato routing experiences
This paper presents a system designed to enhance Quality of Service (QoS) for a global video conferencing service. By a combination of off-the-shelf equipment and open-source software, the proposed system establishes a global service net- work with efficient cold-potato internal routing techniques.
Through 15 years of operational experience, we have developed egress selection heuristics to minimize latency and loss in real- time, end-to-end services. The use of legacy routers and switches guarantees stability and security, while the implementation of specially adapted Route Reflector software provides flexibility.
This study highlights the notable enhancements achieved in terms of accurate egress routing placement, latency reduction, and a significant decrease in customer support cases. By sharing our experiences, we aim to contribute valuable insights to the field of network optimization for real-time services.
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023) |
Publisher | IEEE |
Place Published | Split, Croatia |
Keywords | BGP, GeoIP, Routing |
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence
In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.Status: Accepted
Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence
Dry eye disease is a common and potentially debilitating medical condition. Meibum secreted from the meibomian glands is the largest contributor to the outermost, protective lipid layer of the tear film. Dysfunction of the meibomian glands is the most common cause of dry eye disease. As meibomian gland dysfunction progresses, gradual atrophy of the glands is observed. The meibomian glands are commonly visualized through meibography, a technique requiring specialist equipment and knowledge that might not be available to the physician. In the present project we use machine learning on clinical tabular data to predict the degree of meibomian gland dropout. Moreover, we employ explainable artificial intelligence on the best performing algorithms for feature importance evaluation. The best performing algorithms were AdaBoost, multilayer perceptron and LightGBM which outperformed the majority vote baseline classifier in every included evaluation metric for both multioutput and binary classification. Through explainable artificial intelligence known associations are validated and novel connections identified and discussed.
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023) |
Keywords | Dry eye disease, Explainable artificial intelligence, Machine learning, meibography, meibomian gland dysfunction |
A Time-aware Tensor Decomposition for Tracking Evolving Patterns
In MLSP'23: IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 2023.Status: Accepted
A Time-aware Tensor Decomposition for Tracking Evolving Patterns
Afilliation | Machine Learning |
Project(s) | Department of Data Science and Knowledge Discovery , TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | MLSP'23: IEEE International Workshop on Machine Learning for Signal Processing |
Publisher | IEEE |
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
In Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2023, 2023.Status: Accepted
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
Diabetic retinopathy is a common complication of diabetes, and monitoring the progression of retinal abnormalities using fundus imaging is crucial. Because the images must be interpreted by a medical expert, it is infeasible to screen all individuals with diabetes for diabetic retinopathy. Deep learning has shown impressive results for automatic analysis and grading of fundus images. One drawback is, however, the lack of interpretability, which hampers the implementation of such systems in the clinic. Explainable artificial intelligence methods can be applied to explain the deep neural networks. Explanations based on concepts have shown to be intuitive for humans to understand, but have not yet been explored in detail for diabetic retinopathy grading. This work investigates and compares two concept-based explanation techniques for explaining deep neural networks developed for automatic diagnosis of diabetic retinopathy: Quantitative Testing with Concept Activation Vectors and Concept Bottleneck Models. We found that both methods have strengths and weaknesses, and choice of method should take the available data and the end user’s preferences into account.
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2023 |
Keywords | concept-based explanations, diabetic retinopathy, Explainable artificial intelligence |
A Live Demonstration of HiPerConTracer 2.0
In Proceedings of the 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM). Split/Croatia, 2023.Status: Accepted
A Live Demonstration of HiPerConTracer 2.0
HiPerConTracer is an open source tool for large-scale, long-term, high-frequency Ping and Traceroute measurements. Using such measurements, it is possible to obtain information about latency in the network, as well as about the actual routing. This proposed live demo provides an overview over the tool and its features, as well as an introduction of how to use it for performing measurements, storing the results, querying selected results, and post-processing them for visualisation.
Afilliation | Communication Systems |
Project(s) | NorNet, GAIA, SMIL: SimulaMet Interoperability Lab, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | Proceedings of the 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM) |
Date Published | 09/2023 |
Place Published | Split/Croatia |
Keywords | HiPerConTracer, Internet, Measurement, Round-Trip Time, Tools, Traceroute |
Designing and Testing a Mobile App to Fight Child, Early, and Forced Marriage in Developing Countries
In 14th Scandinavian Conference of Information Systems (SCIS 2023), 2023.Status: Accepted
Designing and Testing a Mobile App to Fight Child, Early, and Forced Marriage in Developing Countries
Child marriage is still a severe issue in developing countries. Among the strategies that work most to fight it, is empowering girls with information combined with the education of parents and community. As smartphones are more accessible year after year in developing countries, we want to investigate how a mobile app could effectively fight child marriage and which characteristics such an app should have. The research was organized into three main phases. The first phase was focused on 4 expert semi-structured interviews to understand if an app could be a good solution to help in fighting child marriage. The second and third phases were based on a case study with young girls in the Democratic Republic of the Congo. The second phase had focus groups with 26 girls to test and improve the requi- sites of the app, and the third phase had a questionnaire that 14 girls had to fill out after trying the app. The study shows that girls in developing countries have access to smartphones, and most can use the developed app satisfactorily and that it is worth continuing to study this problem as an app could be a new instrument to use alongside traditional tools.
Afilliation | Software Engineering |
Project(s) | Department of IT Management, EDOS: Effective Digitalization of Public Sector |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | 14th Scandinavian Conference of Information Systems (SCIS 2023) |
Keywords | Child Marriage, Developing Countries, Digital Illiterate Users, ICT4D, Low-Literate Users, Mobile App |