• Publications
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Multi-label classification using boolean matrix decomposition
TLDR
This paper introduces a new multi-label classifier based on Boolean matrix decomposition. Expand
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Collaborative development of predictive toxicology applications
TLDR
OpenTox provides an interoperable, standards-based Framework for the support of predictive toxicology data management, algorithms, modelling, validation and reporting. Expand
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Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath
Human beings continuously emit chemicals into the air by breath and through the skin. In order to determine whether these emissions vary predictably in response to audiovisual stimuli, we haveExpand
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SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model
TLDR
In this demonstration, we will present the concepts and an implementation of an inductive database--- as proposed by Imielinski and Mannila --- in the relational model. Expand
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Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data.
Developing models for the prediction of microbial biotransformation pathways and half-lives of trace organic contaminants in different environments requires as training data easily accessible andExpand
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Cinema Data Mining: The Smell of Fear
TLDR
The paper introduces a new field of application for data mining, where trace gas responses of people reacting on-line to films shown in cinemas (or movie theaters) are related to the semantic content of the films. Expand
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enviPath – The environmental contaminant biotransformation pathway resource
TLDR
This paper introduces the successor system, enviPath (The Environmental Contaminant Biotransformation Pathway Resource), which is a complete redesign and reimplementation of UM-BBD/PPS. Expand
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Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach
TLDR
MOTIVATION Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. Expand
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A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders
TLDR
We propose a new algorithm, called Maniac (Multi-lAbel classificatioN usIng AutoenCoders), which extracts the non-linear dependencies by compressing the labels using autoencoders. Expand
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Inductive Databases in the Relational Model: The Data as the Bridge
TLDR
We present a new and comprehensive approach to inductive databases in the relational model. Expand
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