Jörg Simon Wicker

Publications
Influence

Multi-label classification using boolean matrix decomposition

Jörg Simon Wicker, B. Pfahringer, Stefan Kramer
Computer Science
SAC '12
26 March 2012

This paper introduces a new multi-label classifier based on Boolean matrix decomposition. Expand

Collaborative development of predictive toxicology applications

Barry J. Hardy, Nicki Douglas, +31 authors S. Escher
Computer Science, Medicine
J. Cheminformatics
31 August 2010

OpenTox provides an interoperable, standards-based Framework for the support of predictive toxicology data management, algorithms, modelling, validation and reporting. Expand

Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath

J. Williams, Christof Stönner, +5 authors Stefan Kramer
Medicine
Scientific reports
10 May 2016

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 have… Expand

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model

Jörg Simon Wicker, L. Richter, Kristina Kessler, Stefan Kramer
Computer Science
ECML/PKDD
15 September 2008

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

Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data.

D. Latino, Jörg Simon Wicker, M. Gütlein, E. Schmid, S. Kramer, K. Fenner
Chemistry, Medicine
Environmental science. Processes & impacts
22 March 2017

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 and… Expand

Cinema Data Mining: The Smell of Fear

Jörg Simon Wicker, Nicolas Krauter, +5 authors Stefan Kramer
Computer Science
KDD
10 August 2015

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

enviPath – The environmental contaminant biotransformation pathway resource

Jörg Simon Wicker, T. Lorsbach, +4 authors K. Fenner
Biology, Computer Science
Nucleic Acids Res.
17 November 2015

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

Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach

Jörg Simon Wicker, K. Fenner, L. Ellis, L. Wackett, Stefan Kramer
Computer Science, Medicine
Bioinform.
1 March 2010

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

A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders

Jörg Simon Wicker, A. Tyukin, Stefan Kramer
Computer Science
PAKDD
19 April 2016

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

Inductive Databases in the Relational Model: The Data as the Bridge

Stefan Kramer, Volker Aufschild, +5 authors L. Richter
Computer Science
KDID
3 October 2005

We present a new and comprehensive approach to inductive databases in the relational model. Expand

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