Blar i ODA Open Digital Archive på forfatter "Halvorsen, Pål"
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ResUNet++: An Advanced Architecture for Medical Image Segmentation
Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; de Lange, Thomas; Halvorsen, Pål; Johansen, Håvard D. (IEEE International Symposium on Multimedia; 2019 IEEE International Symposium on Multimedia (ISM), Conference object, 2020-01-16)Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing into cancer. Towards developing a fully ... -
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Telle-Hansen, Vibeke; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (Lecture Notes in Computer Science (LNCS);, Peer reviewed; Journal article, 2023)Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. ... -
Semantic Analysis of Soccer News for Automatic Game EventClassification
Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (International Workshop on Content-Based Multimedia Indexing, CBMI; 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Conference object, 2019-10-21)We are today overwhelmed with information, of which an important part is news. Sports news, in particular, has become very popular, where soccer makes up a big part of this coverage. For sports fans, it can be a time ... -
SinGAN-Seg: Synthetic training data generation for medical image segmentation
Thambawita, Vajira L B; Salehi, Pegah; Sheshkal, Sajad Amouei; Hicks, Steven; Hammer, Hugo Lewi; Parasa, Sravanthi; de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (PLOS ONE;17(5): e0267976, Peer reviewed; Journal article, 2022-05-02)Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for rare abnormalities, requiring tremendous efforts from medical experts. Therefore, artificial intelligence has become a ... -
Smart chatbot
Sultan, Shairaz (ACIT;2022, Master thesis, 2022)Chatbots or smart conversational chatting machines are being built using Artificial Intelligence and machine learning technologies to solve the existing problems in the area of natural language processing. Thanks to the ... -
SmartIO: Zero-overhead Device Sharing through PCIe Networking
Markussen, Jonas Sæther; Kristiansen, Lars Bjørlykke; Halvorsen, Pål; Kielland-Gyrud, Halvor; Stensland, Håkon Kvale; Griwodz, Carsten (ACM Transactions on Computer Systems;Volume 38, Issue 1-2, July 2021, Peer reviewed; Journal article, 2021-07-08)The large variety of compute-heavy and data-driven applications accelerate the need for a distributed I/O solution that enables cost-effective scaling of resources between networked hosts. For example, in a cluster system, ... -
Smittestopp analytics: Analysis of position data
Thambawita, Vajira L B; Hicks, Steven; Ewan, Jaouen; Halvorsen, Pål; Riegler, Michael (Simula SpringerBriefs on Computing;Volume 11, Chapter; Peer reviewed, 2022-06-18)Contact tracing applications generally rely on Bluetooth data. This type of data works well to determine whether a contact occurred (smartphones were close to each other) but cannot offer the contextual information GPS ... -
Smittestopp Backend
Midoglu, Cise; Ragan-Kelley, Benjamin; Reinemo, Sven- Arne; Jahren, Jon; Halvorsen, Pål (Simula SpringerBriefs on Computing;Volume 11, Chapter; Peer reviewed; Journal article, 2022-06-18)An efficient backend solution is of great importance for any large-scale system, and Smittestopp is no exception. The Smittestopp backend comprises various components for user and device registration, mobile app data ... -
Soccer athlete performance prediction using time series analysis
Ragab, Nourhan (ACIT;2022, Master thesis, 2022)Regardless of the sport you prefer, your favorite athlete has almost certainly disappointed you at some point. Did you jump to a conclusion and dismissed it as "not their day"? Or, did you consider the underlying causes for ... -
Soccer Game Summarization using Audio Commentary, Metadata, and Captions
Gautam, Sushant; Midoglu, Cise; Sabet, Saeed; Kshatri, Dinesh Baniya; Halvorsen, Pål (MM: International Multimedia Conference;MM '22: The 30th ACM International Conference on Multimedia, Conference object, 2022)Soccer is one of the most popular sports globally, and the amount of soccer-related content worldwide, including video footage, audio commentary, team/player statistics, scores, and rankings, is enormous and rapidly growing. ... -
Soccer highlight website design: Improving current interface and proposing universal design and accessibility principles.
Pranoto, Ernest (ACIT;2021, Master thesis, 2021)In today's increasingly technological world, all of the information we have are presented digitally through the internet, with a website as the main vehicle to deliver digital activities (Derong Lin et al, 2009). As the ... -
Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children
Salehi, Pegah; Hassan, Syed Zohaib; Lammerse, Myrthe; Shafiee Sabet, Saeed; Riiser, Ingvild; Røed, Ragnhild Klingenberg; Sinkerud Johnson, Miriam; Hicks, Steven; Thambawita, Vajira; Powell, Martine; Lamb, Michael E.; Baugerud, Gunn Astrid; Halvorsen, Pål; Riegler, Michael (Big Data and Cognitive Computing;Volume 6 / Issue 2, Peer reviewed; Journal article, 2022-06-01)When responding to allegations of child sexual, physical, and psychological abuse, Child Protection Service (CPS) workers and police personnel need to elicit detailed and accurate accounts of the abuse to assist in ... -
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros
Svoren, Henrik; Thambawita, Vajira; Halvorsen, Pål; Jakobsen, Petter; Garcia-Ceja, Enrique; Noori, Farzan Majeed; Hammer, Hugo Lewi; Lux, Mathias; Riegler, Michael; Hicks, Steven (MMSys: Multimedia Systems;MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference, Conference object, 2020)Games are often defined as engines of experience, and they are heavily relying on emotions, they arouse in players. In this paper, we present a dataset called Toadstool as well as a reproducible methodology to extend ... -
Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
Storås, Andrea; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira L B; Hicks, Steven; Kanters, Jørgen K.; Strumke, Inga; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2023)Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide ... -
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events
Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (International Journal of Semantic Computing (IJSC);Volume 15, Issue 02, Peer reviewed; Journal article, 2021)Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. However, there are still a number of shortcomings with current systems, such as high ... -
VISEM: A Multimodal Video Dataset of Human Spermatozoa
Haugen, Trine B.; Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Borgli, Rune Johan; Halvorsen, Pål; Riegler, Michael (ACM MMSys conference series;, Chapter; Peer reviewed, 2019)Real multimedia datasets that contain more than just images or text are rare. Even more so are open multimedia datasets in medicine. Often, clinically related datasets only consist of image or videos. In this paper, we ...