Publication
An experimental design methodology to evaluate the importance of different parameters on flocculation by polyelectrolytes
Related publications (59)
The effect of “objecthood” in the Ebbinghaus illusion
Michael Herzog, Aline Françoise Cretenoud, Einat Rashal
In the Ebbinghaus illusion, observers overestimate the size of a target when it is surrounded by large flakers and compared with a control target surrounded by small flankers. We examined whether “objecthood” – the degree to which an object is a cohesive e ...
2017A model of urban scaling laws based on distance dependent interactions
João Vitor Meirelles de Miranda
Socio-economic related properties of a city grow faster than a linear relationship with the population, in a log–log plot, the so-called superlinear scaling. Conversely, the larger a city, the more efficient it is in the use of its infrastructure, leading ...
2017On the sensitivity of buildings to climate
Building simulation requires a large number of uncertain inputs and parameters. These include quantities that may be known with reasonable confidence, like the thermal properties of materials and building dimensions, but also inputs whose correct values ca ...
EPFL2016Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression
Dimitri Nestor Alice Van De Ville, Stephan Morgenthaler, Thomas William Arthur Bolton, Maria Giulia Preti, Djalel Eddine Meskaldji
An important question in neuroscience is to reveal the relationship between individual performance and brain activity. This could be achieved by applying model regression techniques, in which functional connectivity derived from resting-state functional ma ...
Ieee2016Structured Dimensionality Reduction for Additive Model Regression
Pascal Frossard, Alhussein Fawzi
Additive models are regression methods which model the response variable as the sum of univariate transfer functions of the input variables. Key benefits of additive models are their accuracy and interpretability on many real-world tasks. Additive models a ...
Institute of Electrical and Electronics Engineers2016Modeling, Regression and Optimization
This lecture describes the following topics: • Preamble on Linear Algebra • Dynamic and Static Models • Solving Dynamic and Static Models • Solving Regression Problems • Solving Static and Dynamic Optimization Probl ...
2016A Spatiotemporal Characterization Method for the Dynamic Cytoskeleton
The significant gap between quantitative and qualitative understanding of cytoskeletal function is a pressing problem; microscopy and labeling techniques have improved qualitative investigations of localized cytoskeleton behavior, whereas quantitative anal ...
Wiley-Blackwell2016A Geometric View on Constrained M-Estimators
Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib
We study the estimation error of constrained M-estimators, and derive explicit upper bounds on the expected estimation error determined by the Gaussian width of the constraint set. Both of the cases where the true parameter is on the boundary of the constr ...
2015Heat demand estimation for different building types at regional scale considering building parameters and urban topography
François Maréchal, Jessen Page, Nils Christian Schüler, Alexandre Suzanne Jean-Marie Bertrand
This study aims towards an improved estimation of annual heat demand of the building stock for an entire region. This requires the holistic representation of aspects influencing the heat demand of buildings, namely their geometry, fabric, users and surroun ...
Elsevier2015Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model
Michael Lehning, Marc Parlange, Bettina Schaefli, Aurélien Gallice
The development of stream temperature regression models at regional scales has regained some popularity over the past years. These models are used to predict stream temperature in ungauged catchments to assess the impact of human activities or climate chan ...
European Geosciences Union2015