Publications related to Statistical comparison of the performance of data-based models for sewer condition modeling

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Carmela González Troncoso, Bogdan Kulynych

Mechanisms used in privacy-preserving machine learning often aim to guarantee differential privacy (DP) during model training. Practical DP-ensuring training methods use randomization when fitting model parameters to privacy-sensitive data (e.g., adding Ga ...

New York2023

E-Scan: Consuming Contextual Data with Model Plugins

Anastasia Ailamaki, Viktor Sanca

Extracting value and insights from increasingly heterogeneous data sources involves multiple systems combining and consuming the data. With multi-modal and context-rich data such as strings, text, videos, or images, the problem of standardizing the data mo ...

2023

Stochastic Models for Comparison-based Search

Daniyar Chumbalov

In this thesis we study a problem of searching in a space of objects using comparisons. To navigate through the space to the target object

t

, we ask a sequence of questions of the form ``which object

i

or

j

is closer to

t

?'' for which we observe no ...

EPFL2023

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Daniel Keller

Modeling in neuroscience occurs at the intersection of different points of view and approaches. Typically, hypothesis-driven modeling brings a question into focus so that a model is constructed to investigate a specific hypothesis about how the system work ...

eLIFE SCIENCES PUBL LTD2022

New particle formation event detection with Mask R-CNN

Lubna Dada, Xinyang Li

Atmospheric new particle formation (NPF) is an important source of climate-relevant aerosol particles which has been observed at many locations globally. To study this phenomenon, the first step is to identify whether an NPF event occurs or not on a given ...

2022

Detecting Latent Training Needs Using Large Datasets

Ramtin Yazdanian

In today's world, there is no shortage of disruptors acting on various professional domains. The Fourth Industrial Revolution, with its AI-driven and automation-focused technologies, has fundamentally changed many domains -- particularly the Information an ...

EPFL2022

Appendix: Regionalisation in high share renewable energy system modelling

François Maréchal, Jonas Schnidrig, Tuong-Van Nguyen, Xiang Li

This document corresponds to the appendix of the paper Regionalisation in high share renewable energy system modelling by Schnidrig et al. in redaction, and is based on the Master thesis of Amara Slaymaker 2021, giving additional information about the meth ...

2021

Toward catchment hydro-biogeochemical theories

Andrea Rinaldo, Paolo Benettin, Ilja van Meerveld, Li Li

Headwater catchments are the fundamental units that connect the land to the ocean. Hydrological flow and biogeochemical processes are intricately coupled, yet their respective sciences have progressed without much integration. Reaction kinetic theories tha ...

WILEY2020

Modelling quantities and qualities (Q&Q) of faecal sludge in Hanoi, Vietnam and Kampala, Uganda for improved management solutions

Linda Strande, Magalie Diane Bassan, Amédé Ferré

The importance of faecal sludge management is gaining recognition. However, methods are still lacking to reasonably estimate the quantities and qualities (Q&Q) that need to be managed, which makes the planning for and implementing of management solutions q ...

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2020

A Method for Converting Current Data to RDF in the Era of Industry 4.0

Damiano Nunzio Arena, Ioannis Tourkogiorgis

In the past two decades, the use of ontologies has been proven to be an effective tool for enriching existing information systems in the digital data modelling domain and exploiting those assets for semantic interoperability. With the rise of Industry 4.0, ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Statistical comparison of the performance of data-based models for sewer condition modeling

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Arbitrary Decisions are a Hidden Cost of Differentially Private Training

E-Scan: Consuming Contextual Data with Model Plugins

Stochastic Models for Comparison-based Search

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

New particle formation event detection with Mask R-CNN

Detecting Latent Training Needs Using Large Datasets

Appendix: Regionalisation in high share renewable energy system modelling

Toward catchment hydro-biogeochemical theories

Modelling quantities and qualities (Q&Q) of faecal sludge in Hanoi, Vietnam and Kampala, Uganda for improved management solutions

A Method for Converting Current Data to RDF in the Era of Industry 4.0

New particle formation event detection with Mask R-CNN

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Arbitrary Decisions are a Hidden Cost of Differentially Private Training

Toward catchment hydro-biogeochemical theories

Modelling quantities and qualities (Q&Q) of faecal sludge in Hanoi, Vietnam and Kampala, Uganda for improved management solutions

A Method for Converting Current Data to RDF in the Era of Industry 4.0

Detecting Latent Training Needs Using Large Datasets

Stochastic Models for Comparison-based Search

E-Scan: Consuming Contextual Data with Model Plugins

Appendix: Regionalisation in high share renewable energy system modelling