Publications related to Omitted-variable bias

Local estimation of the global horizontal irradiance using an all-sky camera

Mario Paolone, Fabrizio Sossan, Enrica Scolari

Localised and high-frequency measurements of the global horizontal irradiance (GHI) are a key information to assess the level of power production of distributed photovoltaic generation. The paper presents a supervised machine learning-based procedure to es ...

PERGAMON-ELSEVIER SCIENCE LTD2018

Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake

Fernando Porté Agel, Fernando Carbajo Fuertes

Scanning Doppler lidars are the best tools for acquiring 3D velocity fields of full scale wind turbine wakes, whether the objective is a better understanding of some features of the wake or the validation of wake models. Since these lidars are based on the ...

2018

Multi-task additive models with shared transfer functions based on dictionary learning

Pascal Frossard, Alhussein Fawzi

Additive models form a widely popular class of regression models which represent the relation between covariates and response variables as the sum of low-dimensional transfer functions. Besides flexibility and accuracy, a key benefit of these models is the ...

Institute of Electrical and Electronics Engineers2017

Modeling and treatment optimization of pharmaceutically active compounds by the photo-Fenton process: The case of the antidepressant Venlafaxine

César Pulgarin, Sami Rtimi, Stefanos Giannakis, Idriss Hendaoui

In this study, the anti-depressant Venlafaxine, a new emerging contaminant of interest for the Swiss legislation, was subjected to systematic degradation. In order to develop an efficient framework for the treatment of emerging contaminants at industrial s ...

Elsevier Sci Ltd2017

Integrating geo-biodiversity features in the analysis of landscape patterns

Alexandre Buttler, Alexander Ludwig Johannes Peringer, Ioana Stoicescu

Spatial patterns are deeply linked to ecological processes and this relationship lies at the core of landscape ecology. In turn, landscape patterns are influenced by physical, biological and anthropogenic factors. The aim of this study was to explore how s ...

Elsevier Science Bv2017

Structured 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 Engineers2016

Positive association of walking with the use of public transport in Switzerland

Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Derek Pierre Christie, Jean Simos

Promoting physical activity and active transport strategies are among the “best buys” for tackling the risk factors of noncommunicable diseases (WHO Global status report on noncommunicable diseases, 2010). Operationalising such insights requires policies f ...

2015

OsmoseLua – An Integrated Approach to Energy Systems Integration with LCIA and GIS

François Maréchal, Lindsay Dianne Lessard, Maziar Kermani, Min-Jung Yoo

In this paper, we present our recent work on the implementation of an Energy Systems Integration platform allowing the modeling of Energy Systems integrating LCI (Life Cycle Inventory), LCIA (Life Cycle Impact Assessment) and GIS (Geographical Information ...

Elsevier2015

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Omitted-variable bias

Local estimation of the global horizontal irradiance using an all-sky camera

Mean-Field methods for Structured Deep-Learning in Computer Vision

Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake

Multi-task additive models with shared transfer functions based on dictionary learning

Modeling and treatment optimization of pharmaceutically active compounds by the photo-Fenton process: The case of the antidepressant Venlafaxine

Integrating geo-biodiversity features in the analysis of landscape patterns

Structured Dimensionality Reduction for Additive Model Regression

Positive association of walking with the use of public transport in Switzerland

OsmoseLua – An Integrated Approach to Energy Systems Integration with LCIA and GIS

Pitfalls in aggregating performance measures in higher education

Graph Chatbot

Chat with Graph Search

Mean-Field methods for Structured Deep-Learning in Computer Vision

Local estimation of the global horizontal irradiance using an all-sky camera

Integrating geo-biodiversity features in the analysis of landscape patterns

Positive association of walking with the use of public transport in Switzerland

Structured Dimensionality Reduction for Additive Model Regression

Pitfalls in aggregating performance measures in higher education

Multi-task additive models with shared transfer functions based on dictionary learning

Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake

Modeling and treatment optimization of pharmaceutically active compounds by the photo-Fenton process: The case of the antidepressant Venlafaxine

OsmoseLua – An Integrated Approach to Energy Systems Integration with LCIA and GIS