A database for publications published by researchers and students at SimulaMet.
Status
Research area
Technical reports
Guidelines for Adding Congestion Notification to Protocols that Encapsulate IP
IETF, 2017.Status: Accepted
Guidelines for Adding Congestion Notification to Protocols that Encapsulate IP
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications, RITE: Reducing Internet Transport Latency |
Publication Type | Technical reports |
Year of Publication | 2017 |
Number | draft-ietf-tsvwg-ecn-encap-guidelines-08 |
Publisher | IETF |
Keywords | Architecture, congestion, Control, Data Communication, Encapsulation, Explicit Notification, Internet, Layering, Management, Monitoring, networks, Protocol Engineering, QoS, Tunnels |
Notes | (Work in Progress) |
URL | http://tools.ietf.org/html/draft-ietf-tsvwg-ecn-encap-guidelines |
Proceedings, refereed
TCP with dynamic FEC For High Delay and Lossy Networks
In ACM CoNEXT Student Workshop, 2016.Status: Accepted
TCP with dynamic FEC For High Delay and Lossy Networks
Afilliation | , Communication Systems, Communication Systems |
Project(s) | MONROE: Measuring Mobile Broadband Networks in Europe , The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2016 |
Conference Name | ACM CoNEXT Student Workshop |
Proceedings, refereed
Optical Fibre as a Sensor for Network Anomaly Detection
In ACM SIGCOMM 2020 Workshop on Optical Systems Design, 2020.Status: Accepted
Optical Fibre as a Sensor for Network Anomaly Detection
Optical fibres are the backbone of modern Information Technology infrastructure connecting billions of users through high-speed networks. With a drastic increase in the number of internet users, vulnerability and security issues in the optical fibre network become increasingly important. In this paper, we propose a detection method for early warning of anomalies in optical networks. The method is based on monitoring and analyzing changes in the state of polarization of the optical signal targeting differentiating between different physical impacts and movements of the fibre caused by e.g. eavesdropping, cut by digging and thunderstorms.
Afilliation | Communication Systems |
Project(s) | GAIA |
Publication Type | Proceedings, refereed |
Year of Publication | 2020 |
Conference Name | ACM SIGCOMM 2020 Workshop on Optical Systems Design |
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy
In ICPR, 2020.Status: Accepted
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy
The EndoTect challenge at the International Conference on Pattern Recognition 2020 aims to motivate the development of algorithms that aid medical experts in finding anomalies that commonly occur in the gastrointestinal tract. Using HyperKvasir, a large dataset containing images taken from several endoscopies, the participants competed in three tasks. Each task focuses on a specific requirement for making it useful in a real-world medical scenario. The tasks are (i) high classification performance in terms of prediction accuracy, (ii) efficient classification measured by the number of images classified per second, and (iii) pixel-level segmentation of specific anomalies. Hopefully, this can motivate different computer science researchers to help benchmark a crucial component of a future computer-aided diagnosis system, which in turn, could potentially save human lives.
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2020 |
Conference Name | ICPR |
Analysis of Optical Brain Signals Using Connectivity Graph Networks
In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. {Springer, 2020.Status: Accepted
Analysis of Optical Brain Signals Using Connectivity Graph Networks
Afilliation | Scientific Computing |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2020 |
Conference Name | International Cross-Domain Conference for Machine Learning and Knowledge Extraction |
Pagination | 485–497 |
Publisher | {Springer |
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020
In Media Eval Challange 2020, 2020.Status: Accepted
FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020
Afilliation | Scientific Computing, Machine Learning |
Project(s) | Department of High Performance Computing , Department of Holistic Systems, UMOD: Understanding and Monitoring Digital Wildfires |
Publication Type | Proceedings, refereed |
Year of Publication | 2020 |
Conference Name | Media Eval Challange 2020 |
Delay Sensitivity Classification of Cloud Gaming Content
In International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE'20), 2020.Status: Accepted
Delay Sensitivity Classification of Cloud Gaming Content
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2020 |
Conference Name | International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE'20) |
A Latency Compensation Technique Based on Game Characteristics to Mitigate the Influence of Delay on Cloud Gaming Quality of Experience
In ACM Multimedia Systems Conference 2020 (MMSys 2020), 2020.Status: Accepted
A Latency Compensation Technique Based on Game Characteristics to Mitigate the Influence of Delay on Cloud Gaming Quality of Experience
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2020 |
Conference Name | ACM Multimedia Systems Conference 2020 (MMSys 2020) |
Journal articles
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
Neural Computation 32 (2020): 912-968.Status: Accepted
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Journal Article |
Year of Publication | 2020 |
Journal | Neural Computation |
Volume | 32 |
Number | 5 |
Pagination | 912–968 |
Publisher | {MIT Press |
Proceedings, refereed
Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features
In MediaEval, 2019.Status: Accepted
Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features
This paper presents the approach proposed by the organizer team (SimulaMet) for MediaEval 2019 Multimedia for Medicine: The Medico Task. The approach uses a data preparation method which is based on global features extracted from multiple frames within each video and then combines this with information about the patient in order to create a compressed representation of each video. The goal is to create a less hardware expensive data representation that still retains the temporal information of the video and related patient data. Overall, the results need some improvement before being a viable option for clinical use.
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2019 |
Conference Name | MediaEval |