Spectral Sequences Professors in Global

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Zhiyu Liao
University of Glasgow United Kingdom
spectroscopy
mass spectrometry
optical spectroscopic techniques
raman spectroscopy
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John Oommen
Carleton University Canada
syntactic pattern recognition
neural networks
statistical pattern recognition
stochastic learning
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Loza Tadesse
Massachusetts Institute of Technology United States of America
spectral analysis
spectroscopy
machine learning
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Simona Cristescu
Radboud University Netherlands
spectroscopy
mass spectrometry
absorption spectroscopy
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Jingsong Yuan
University of Manchester United Kingdom
spectral estimation
higher order spectral analysis
signal processing
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Kevin Stamplecoskie
Queen's University Canada
spectroscopy
transient spectroscopy
fluorescence spectroscopy
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Nikolai Kühne
Aalborg University Denmark
sequence modelling
neural networks
machine learning
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Andrey Feuerverger
University of Toronto Canada
spectral analysis of time series
signal processing
machine learning
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Chabum Lee
Texas A&M University United States of America
optical spectroscopy
electric spectroscopy
magnetic spectroscopy
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Harriet Dinerstein
University of Texas at Austin United States of America
optical spectroscopy
infrared spectroscopy
ultraviolet spectroscopy
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Anna Göritz
University of Freiburg Germany
multispectral observations
hyperspectral observations
applied spectroscopy
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Matthias Gassilloud
University of Freiburg Germany
hyperspectral
multispectral
machine learning
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George Moustakides
University of Patras Greece
sequential detection
statistical signal processing
machine learning
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Francesca Venturini
ZHAW Zurich University of Applied Sciences Switzerland
laser spectroscopy
raman spectroscopy
fluorescence spectroscopy
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Jonathan Pillow
Princeton University United States of America
neural encoding
statistical machine learning
neural decoding
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Pascal Vincent
University of Montreal Canada
statistical models
neural networks
machine learning
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Milad Lankarany
University of Toronto Canada
statistical signal processing
neural networks
signal processing
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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
machine learning
stochastic processes
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Kavita Ramanan
Brown University United States of America
stochastic networks
stochastic analysis
stochastic processes
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Felipe Tobar
Imperial College London United Kingdom
signal processing
statistical machine learning
machine learning
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André Kaup
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
neural networks
signal processing
machine learning
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