Publications related to Safe density ratio modeling

Fast Automatic Smoothing for Generalized Additive Models

Anthony Christopher Davison, Yousra El Bachir

Generalized additive models (GAMs) are regression models wherein parameters of probability distributions depend on input variables through a sum of smooth functions, whose degrees of smoothness are selected by L-2 regularization. Such models have become th ...

MICROTOME PUBL2019

Correlating Twitter Language with Community-Level Health Outcomes

Martin Jaggi, Arno Schneuwly

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of-the-art sentence embeddings, followed by a regression model and clustering, ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2019

Empirical validation of MesoHABSIM models developed with different habitat suitability criteria for bullhead cottus gobio L. as an indicator species

Giovanni De Cesare, Mikolaj Stanislaw Adamczyk, Piotr Parasiewicz

Application of instream habitat models such as the Mesohabitat Simulation Model (MesoHABSIM) is becoming increasingly popular. Such models can predict alteration to a river physical habitat caused by hydropower operation or river training. They are a tool ...

2019

Automated high-content phenotyping from the first larval stage till the onset of adulthood of the nematode Caenorhabditis elegans

Johan Auwerx, Martinus Gijs, Matteo Cornaglia, Laurent Mouchiroud, Hüseyin Baris Atakan

The nematode Caenorhabditis elegans is increasingly used as a model for human biology. However, in vivo culturing platforms for C. elegans allowing high-content phenotyping during their life cycle in an automated fashion are lacking so far. Here, a multipl ...

ROYAL SOC CHEMISTRY2019

COLA: Decentralized Linear Learning

Martin Jaggi, Lie He

Decentralized machine learning is a promising emerging paradigm in view of global challenges of data ownership and privacy. We consider learning of linear classification and regression models, in the setting where the training data is decentralized over ma ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS

Marilyne Andersen, Jan Wienold, Mandana Sarey Khanie

In this study, we evaluate established and newly developed metrics for predicting glare using data from three different research studies. The evaluation covers two different targets: 1. How well the user’s perception of glare magnitude correlates to the pr ...

CIE, Vienna2017

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Daniel Gatica-Perez, Darshan Santani, Yassir Benkhedda

We address the question of what visual cues, including scene objects and demographic attributes, contribute to the automatic inference of perceived ambiance in social media venues. We first use a stateof- art, deep scene semantic parsing method and a face ...

2017

Shape constrained splines as transparent black-box models for bioprocess modeling

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Empirical model identification for biological systems is a challenging task due to the combined effects of complex interactions, nonlinear effects, and lack of specific measurements. In this context, several researchers have provided tools for experimental ...

Elsevier2017

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Safe density ratio modeling

Fast Automatic Smoothing for Generalized Additive Models

Correlating Twitter Language with Community-Level Health Outcomes

Empirical validation of MesoHABSIM models developed with different habitat suitability criteria for bullhead cottus gobio L. as an indicator species

Automated high-content phenotyping from the first larval stage till the onset of adulthood of the nematode Caenorhabditis elegans

Data-driven reduced order modeling for time-dependent problems

COLA: Decentralized Linear Learning

Logistic regression over encrypted data from fully homomorphic encryption

COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Shape constrained splines as transparent black-box models for bioprocess modeling

Graph Chatbot

Chat with Graph Search

Correlating Twitter Language with Community-Level Health Outcomes

Shape constrained splines as transparent black-box models for bioprocess modeling

Data-driven reduced order modeling for time-dependent problems

Empirical validation of MesoHABSIM models developed with different habitat suitability criteria for bullhead cottus gobio L. as an indicator species

Fast Automatic Smoothing for Generalized Additive Models

COLA: Decentralized Linear Learning

Venues in Social Media: Examining Ambiance Perception Through Scene Semantics

Automated high-content phenotyping from the first larval stage till the onset of adulthood of the nematode Caenorhabditis elegans

Logistic regression over encrypted data from fully homomorphic encryption

COMPARISON OF LUMINANCE BASED METRICS IN DIFFERENT LIGHTING CONDITIONS