A database for publications published by researchers and students at SimulaMet.
Research area
Publication type
- All (981)
- Journal articles (279)
- Books (10)
- Edited books (3)
- Proceedings, refereed (303)
- Book chapters (13)
- Talks, keynote (21)
- PhD theses (6)
- Proceedings, non-refereed (21)
- Posters (15)
- Technical reports (14)
- Manuals (1)
- Talks, invited (182) Remove Talks, invited <span class="counter">(182)</span> filter
- Talks, contributed (30)
- Public outreach (62)
- Miscellaneous (21)
Talks, invited
Extracting Insights from Complex Data: Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations
In IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights, 2023.Status: Published
Extracting Insights from Complex Data: Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations
Afilliation | Machine Learning |
Project(s) | Department of Data Science and Knowledge Discovery , TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
Publication Type | Talks, invited |
Year of Publication | 2023 |
Location of Talk | IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights |
URL | http://www.ipam.ucla.edu/abstract/?tid=18155&pcode=XAI2023 |
Talks, invited
Kommentarer til "Målbilder for Robuste ekomnett mot 2030"
In Nasjonal Kommunikasjonsmyndighet sin offentliggjøring av målbilder mot 2030. NKOM, 2022.Status: Published
Kommentarer til "Målbilder for Robuste ekomnett mot 2030"
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Nasjonal Kommunikasjonsmyndighet sin offentliggjøring av målbilder mot 2030 |
Publisher | NKOM |
Soccer Athlete Performance Prediction using Time Series Analysis
In NORA Annual Conference, 2022.Status: Accepted
Soccer Athlete Performance Prediction using Time Series Analysis
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | NORA Annual Conference |
AI-Based Video Production for Soccer
In FOKUS Media Web Symposium, 2022.Status: Accepted
AI-Based Video Production for Soccer
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | FOKUS Media Web Symposium |
URL | https://www.fokus.fraunhofer.de/go/mws |
Explainable Artificial Intelligence in Medicine
In Nordic AI Meet 2022, 2022.Status: Accepted
Explainable Artificial Intelligence in Medicine
Machine learning (ML) has shown outstanding abilities to solve a large variety of tasks such as image recognition and natural language processing, which has huge relevance for the medical field. Complex ML models, including convolutional neural networks (CNNs), are used to analyse high dimensional data such as images and videos from medical examinations. With increasing model complexity, the demand for techniques improving human understanding of the ML models also increases. If medical doctors do not understand how the models work, they might not know when the models are actually wrong or even refuse to use them. This can hamper the implementation of ML systems in the clinic and negatively affect patients. To promote successful integration of ML systems in the clinic, it is important to provide explanations that establish trust in the models among healthcare personnel. Explainable artificial intelligence (XAI) aims to provide explanations about ML models and their predictions. Several techniques have already been developed. Existing XAI methods often fail to meet the requirements of medical doctors, probably because they are not sufficiently involved in the development of the methods. We develop ML models solving tasks in various medical domains. The resulting models are explained using a selection of existing XAI methods, and the explanations are evaluated by medical experts. Their feedback is used to develop improved XAI methods. We have investigated established techniques for making ML systems more transparent in the fields of gastroenterology, assisted reproductive technology, organ transplantation and cardiology. Experiences from our projects will be used to develop new explanation techniques for clinical practice in close collaboration with medical experts.
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Nordic AI Meet 2022 |
Keywords | Explainable artificial intelligence, Machine learning, medicine |
Tilrettelagt innhenting
In Oslo Tingrett, 2022.Status: Published
Tilrettelagt innhenting
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Oslo Tingrett |
Teknologiutvikling, sikkerhet og kriminalitet
In Politiavdelingen, Justistepartementet, 2022.Status: Published
Teknologiutvikling, sikkerhet og kriminalitet
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Politiavdelingen, Justistepartementet |
Cyber Warfare: Supply- and Service Chains
In Multi-Modal Warfare, Safe House Global, Washington., 2022.Status: Published
Cyber Warfare: Supply- and Service Chains
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Multi-Modal Warfare, Safe House Global, Washington. |
Vi må tenke sikkerhet på nytt
In Inside telecom, 2022.Status: Published
Vi må tenke sikkerhet på nytt
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Inside telecom |
Digital risiko – hva er de sentrale utfordringene? Hva er mulige løsninger?
In Oslo. Totalberedskapskommisjonen, 2022.Status: Published
Digital risiko – hva er de sentrale utfordringene? Hva er mulige løsninger?
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Talks, invited |
Year of Publication | 2022 |
Location of Talk | Oslo |
Publisher | Totalberedskapskommisjonen |