Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Syntetisk Data"'
Autor:
Florean, Alexander
In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while pre
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-98405
Autor:
Allergren, Erik, Hildebrand, Clara
De senaste åren har efterfrågan på stora mängder data för att träna maskininläringsalgoritmer ökat. Algoritmerna kan användas för att lösa stora som små samhällsfrågor och utmaningar. Ett sätt att möta efterfrågan är att generera sy
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-219725
Autor:
Larsson, Marcus
Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-329131
Autor:
Carlson, Johanna, Byman, Lovisa
In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expens
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-194291
Autor:
Larsson, Marcus
Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::0e5ce8478f3a78908eadda54b803629b
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-329131
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-329131
Autor:
Hammarstedt, Johan
The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321996
Autor:
Malmberg, Fredrik
Vision is an important tool for us humans and significant effort has been put into creating solutions that let us measure how we use it. Most common among the techniques to measure gaze direction is to use specialised hardware such as infrared eye tr
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323149
Autor:
Hammarstedt, Johan
The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::9a8c6d66451e4c949b27639bb9e0a8c5
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321996
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321996
Autor:
Campos, Pedro
One of the areas propelled by the advancements in Deep Learning is Natural Language Processing. These continuous advancements allowed the emergence of new language models such as the Transformer [1], a deep learning model based on attention mechanism
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-309217
Autor:
Sellstedt, Victor
Trajectory estimation, with regards to reconstructing a 3D trajectory from a 2D trajectory, is commonly achieved using stereo or multi camera setups. Although projections from 3D to 2D suffer significant information loss, some methods approach this p
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-304580