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pro vyhledávání: '"Hansen, Casper"'
Breaking the glass ceiling of boards of directors has been a hot topic globally for over a decade without any significant results. With an increase in demand for sustainable companies, the current composition of most of the boards of directors is con
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-44441
Industrial processes are monitored by a large number of various sensors that produce time-series data. Deep Learning offers a possibility to create anomaly detection methods that can aid in preventing malfunctions and increasing efficiency. But creat
Externí odkaz:
http://arxiv.org/abs/2109.10082
Autor:
Hansen, Casper
How data is represented and operationalized is critical for building computational solutions that are both effective and efficient. A common approach is to represent data objects as binary vectors, denoted \textit{hash codes}, which require little st
Externí odkaz:
http://arxiv.org/abs/2109.01815
Detecting faults in manufacturing applications can be difficult, especially if each fault model is to be engineered by hand. Data-driven approaches, using Machine Learning (ML) for detecting faults have recently gained increasing interest, where a ML
Externí odkaz:
http://arxiv.org/abs/2107.01955
Most fact checking models for automatic fake news detection are based on reasoning: given a claim with associated evidence, the models aim to estimate the claim veracity based on the supporting or refuting content within the evidence. When these mode
Externí odkaz:
http://arxiv.org/abs/2105.07698
When reasoning about tasks that involve large amounts of data, a common approach is to represent data items as objects in the Hamming space where operations can be done efficiently and effectively. Object similarity can then be computed by learning b
Externí odkaz:
http://arxiv.org/abs/2103.14455
Semantic hashing represents documents as compact binary vectors (hash codes) and allows both efficient and effective similarity search in large-scale information retrieval. The state of the art has primarily focused on learning hash codes that improv
Externí odkaz:
http://arxiv.org/abs/2103.14460
Screwdriving is one of the most popular industrial processes. As such, it is increasingly common to automate that procedure by using various robots. Even though the automation increases the efficiency of the screwdriving process, if the process is no
Externí odkaz:
http://arxiv.org/abs/2102.01409
Autor:
Wang, Dongsheng, Hansen, Casper, Lima, Lucas Chaves, Hansen, Christian, Maistro, Maria, Simonsen, Jakob Grue, Lioma, Christina
The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms. Simply put, the attention mechanisms learn to attend to specific parts of the input dispensing recurrence and convolu
Externí odkaz:
http://arxiv.org/abs/2012.12366