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of 174
pro vyhledávání: '"Fensel, Anna"'
We present Polite Teacher, a simple yet effective method for the task of semi-supervised instance segmentation. The proposed architecture relies on the Teacher-Student mutual learning framework. To filter out noisy pseudo-labels, we use confidence th
Externí odkaz:
http://arxiv.org/abs/2211.03850
We propose KGTN-ens, a framework extending the recent Knowledge Graph Transfer Network (KGTN) in order to incorporate multiple knowledge graph embeddings at a small cost. We evaluate it with different combinations of embeddings in a few-shot image cl
Externí odkaz:
http://arxiv.org/abs/2211.03199
Autor:
Chhetri, Tek Raj, Dehury, Chinmaya Kumar, Varghese, Blesson, Fensel, Anna, Srirama, Satish Narayana, DeLong, Rance J.
Publikováno v:
In Future Generation Computer Systems August 2024 157:164-179
The performance of applications, such as personal assistants and search engines, relies on high-quality knowledge bases, a.k.a. Knowledge Graphs (KGs). To ensure their quality one important task is knowledge validation, which measures the degree to w
Externí odkaz:
http://arxiv.org/abs/2104.12622
Autor:
Tauqeer, Amar, Hammid, Ismaheel, Aghaei, Sareh, Parvin, Parvaneh, Postma, Elbrich M., Fensel, Anna
Publikováno v:
In Expert Systems With Applications 30 December 2023 234
Autor:
Chhetri, Tek Raj, Hohenegger, Armin, Fensel, Anna, Kasali, Mariam Aramide, Adekunle, Asiru Afeez
Publikováno v:
In Expert Systems With Applications 15 December 2023 233
Akademický článek
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Publikováno v:
Proceedings of the Global Internet of Things Summit (GIoTS), Geneva, Switzerland, 6-9 June, 2017, pp. 379-384
We present a roadmap to guide European research efforts towards a socially responsible big data economy that maximizes the positive impact of big data in environment and energy efficiency. The goal of the roadmap is to allow stakeholders and the big
Externí odkaz:
http://arxiv.org/abs/1708.07871
Autor:
Fotopoulou, Eleni, Zafeiropoulos, Anastasios, Terroso, Fernando, Gonzalez, Aurora, Skarmeta, Antonio, Şimşek, Umutcan, Fensel, Anna
In this paper, ENTROPY platform, an IT ecosystem for supporting energy efficiency in buildings through behavioural change of the occupants is provided. The ENTROPY platform targets at providing a set of mechanisms for accelerating the adoption of ene
Externí odkaz:
http://arxiv.org/abs/1707.06433
Autor:
Martinez-Gil, Jorge, Buchgeher, Georg, Gabauer, David, Freudenthaler, Bernhard, Filipiak, Dominik, Fensel, Anna
Publikováno v:
In Procedia Computer Science 2022 200:944-953