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of 389
pro vyhledávání: '"MULLER Pierre"'
Entry of micro- or nano-sized objects into cells or vesicles made of lipid membranes occur in many processes such as entry of viruses in host cells, microplastics pollution, drug delivery or biomedical imaging. Here, we investigated the microparticle
Externí odkaz:
http://arxiv.org/abs/2301.02504
Autor:
Walzel, Friedrich, Requier, Alice, Boschi, Kevin, Farago, Jean, Fuchs, Philippe, Thalmann, Fabrice, Drenckhan, Wiebke, Muller, Pierre, Charitat, Thierry
Minimal surface problems arise naturally in many soft matter systems whose free energies are dominated by surface or interface energies. Of particular interest are the shapes, stability and mechanical stresses of minimal surfaces spanning specific ge
Externí odkaz:
http://arxiv.org/abs/2203.16140
Autor:
Walter, Vivien, Schmatko, Tatiana, Muller, Pierre, Schroder, André P., MacEwan, Sarah R., Chilkoti, Ashutosh, Marques, Carlos M.
Publikováno v:
In Biophysical Journal 2 April 2024 123(7):901-908
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:
Fawaz, Hassan Ismail, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain
Purpose: Manual feedback from senior surgeons observing less experienced trainees is a laborious task that is very expensive, time-consuming and prone to subjectivity. With the number of surgical procedures increasing annually, there is an unpreceden
Externí odkaz:
http://arxiv.org/abs/1908.07319
Autor:
Fawaz, Hassan Ismail, Forestier, Germain, Weber, Jonathan, Petitjean, François, Idoumghar, Lhassane, Muller, Pierre-Alain
Over the past one hundred years, the classic teaching methodology of "see one, do one, teach one" has governed the surgical education systems worldwide. With the advent of Operation Room 2.0, recording video, kinematic and many other types of data du
Externí odkaz:
http://arxiv.org/abs/1904.07302
Autor:
Fawaz, Hassan Ismail, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain
Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety. With the recent success of deep neural networks in various domains such as
Externí odkaz:
http://arxiv.org/abs/1903.07054
Autor:
Fawaz, Hassan Ismail, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain
Deep neural networks have revolutionized many fields such as computer vision and natural language processing. Inspired by this recent success, deep learning started to show promising results for Time Series Classification (TSC). However, neural netwo
Externí odkaz:
http://arxiv.org/abs/1903.06602
Autor:
Fawaz, Hassan Ismail, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain
Transfer learning for deep neural networks is the process of first training a base network on a source dataset, and then transferring the learned features (the network's weights) to a second network to be trained on a target dataset. This idea has be
Externí odkaz:
http://arxiv.org/abs/1811.01533
Autor:
Fawaz, Hassan Ismail, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been proposed. Among these methods, only a few have considered Deep Neural Ne
Externí odkaz:
http://arxiv.org/abs/1809.04356