Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Lucas, Benjamin"'
Autor:
Vahedi, Behzad, Lucas, Benjamin, Banaei-Kashani, Farnoush, Barrett, Andrew P., Meier, Walter N., Khalsa, Siri Jodha, Karimzadeh, Morteza
Sea ice, crucial to the Arctic and Earth's climate, requires consistent monitoring and high-resolution mapping. Manual sea ice mapping, however, is time-consuming and subjective, prompting the need for automated deep learning-based classification app
Externí odkaz:
http://arxiv.org/abs/2406.03645
Autor:
Lucas, Benjamin
In December 2023 the Florida State Seminoles became the first Power 5 school to have an undefeated season and miss selection for the College Football Playoff. In order to assess this decision, we employed an Elo ratings model to rank the teams and fo
Externí odkaz:
http://arxiv.org/abs/2403.03862
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Speech and music are two fundamental modes of human communication. Lateralisation of key processes underlying their perception has been related both to the distinct sensitivity to low-level spectrotemporal acoustic features and to top-down a
Externí odkaz:
https://doaj.org/article/7a38adf71c41409f864af0480624c747
With COVID-19 affecting every country globally and changing everyday life, the ability to forecast the spread of the disease is more important than any previous epidemic. The conventional methods of disease-spread modeling, compartmental models, are
Externí odkaz:
http://arxiv.org/abs/2109.12094
Autor:
Lucas, Benjamin, Pelletier, Charlotte, Schmidt, Daniel, Webb, Geoffrey I., Petitjean, François
Land cover maps are a vital input variable to many types of environmental research and management. While they can be produced automatically by machine learning techniques, these techniques require substantial training data to achieve high levels of a
Externí odkaz:
http://arxiv.org/abs/2005.11930
Public information search data from sources such as Google Trends affords researchers a perspective on what society does not know, or what society wants to find out prompted by, or in response to, developments in societal communication and news media
Externí odkaz:
http://arxiv.org/abs/2004.07183
Autor:
Fawaz, Hassan Ismail, Lucas, Benjamin, Forestier, Germain, Pelletier, Charlotte, Schmidt, Daniel F., Weber, Jonathan, Webb, Geoffrey I., Idoumghar, Lhassane, Muller, Pierre-Alain, Petitjean, François
This paper brings deep learning at the forefront of research into Time Series Classification (TSC). TSC is the area of machine learning tasked with the categorization (or labelling) of time series. The last few decades of work in this area have led t
Externí odkaz:
http://arxiv.org/abs/1909.04939
Autor:
Hill, Lucas Benjamin1
Publikováno v:
Innovative Higher Education. Dec2023, Vol. 48 Issue 6, p1033-1054. 22p.
Publikováno v:
eLife, Vol 12 (2023)
Successive auditory inputs are rarely independent, their relationships ranging from local transitions between elements to hierarchical and nested representations. In many situations, humans retrieve these dependencies even from limited datasets. Howe
Externí odkaz:
https://doaj.org/article/c65cb6af19334c0db922a916afb35b2d
Autor:
Lucas, Benjamin, Shifaz, Ahmed, Pelletier, Charlotte, O'Neill, Lachlan, Zaidi, Nayyar, Goethals, Bart, Petitjean, Francois, Webb, Geoffrey I.
Research into the classification of time series has made enormous progress in the last decade. The UCR time series archive has played a significant role in challenging and guiding the development of new learners for time series classification. The la
Externí odkaz:
http://arxiv.org/abs/1808.10594