Oliver Dürr

Oliver Dürr
Zurich University of Applied Sciences | ZHAW · Institute of Data Analysis and Process Design (IDP)

Phd

About

27
Publications
31,208
Reads
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353
Citations
Additional affiliations
July 2003 - July 2012
Genedata
Position
  • Senior Algorithm Developer, Consultant

Publications

Publications (27)
Preprint
Full-text available
We propose a novel end-to-end neural network architecture that, once trained, directly outputs a probabilistic clustering of a batch of input examples in one pass. It estimates a distribution over the number of clusters $k$, and for each $1 \leq k \leq k_\mathrm{max}$, a distribution over the individual cluster assignment for each data point. The n...
Conference Paper
Full-text available
Deep learning, especially in the form of convolutional neural networks (CNNs), has triggered substantial improvements in computer vision and related fields in recent years. This progress is attributed to the shift from designing features and subsequent individual sub-systems towards learning features and recognition systems end to end from nearly u...
Poster
Full-text available
Poster Presented at the third edition of the ”Swiss Image-Based Screening Conference”, SIBS 2015 30th Sep – 1st Oct 2015 in Basel
Article
We aimed to identify gene expression signatures associated with angiogenesis and hypoxia pathways with predictive value for treatment response to bevacizumab/erlotinib (BE) of non-squamous advanced NSCLC patients. Whole genome gene expression profiling was performed on 42 biopsy samples (from SAKK 19/05 trial) using Affymetrix exon arrays, and asso...
Conference Paper
Full-text available
In this paper we describe a fast and accurate pipeline for real-time face recognition that is based on a convolutional neural network (CNN) and requires only moderate computational resources. After training the CNN on a desktop PC we employed a Raspberry Pi, model B, for the classification procedure. Here, we reached a performance of approximately...
Conference Paper
http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval062.pdf In this paper, we describe how we cre- ated a meta-classifier to detect the mes- sage-level sentiment of tweets. We par- ticipated in SemEval-2014 Task 9B by combining the results of several exist- ing classifiers using a random forest. The results of 5 other teams from the competition as we...
Article
Background: Tumor-associated stromal cells have an important role in tumor growth, disease progression and drug resistance. Gene expression analysis (GEA) of various cancers identified molecular subtypes and predictive models for clinically relevant outcomes. This information however, is often derived from heterogeneous clinical samples (tumor and...
Conference Paper
Full-text available
In this paper, we analyze the quality of several commercial tools for sentiment detection. All tools are tested on nearly 30,000 short texts from various sources, such as tweets, news, reviews etc. In addition to the quality analysis (measured by various metrics), we also investigate the effect of increasing text length on the performance. Finally,...
Conference Paper
Full-text available
Google Trends and other IT fever charts rate Data Science among the most rapidly emerging and promising fields that expand around computer science. Although Data Science draws on content from established fields like artificial intelligence, statistics, databases, visualization and many more, industry is demanding for trained data scientists that no...
Article
Full-text available
We present a new layout algorithm for complex networks that combines a multi-scale approach for community detection with a standard force-directed design. Since community detection is computationally cheap, we can exploit the multi-scale approach to generate network configurations with close-to-minimal energy very fast. As a further asset, we can u...
Article
Full-text available
Recent technological advances in high-content screening instrumentation have increased its ease of use and throughput, expanding the application of high-content screening to the early stages of drug discovery. However, high-content screens produce complex data sets, presenting a challenge for both extraction and interpretation of meaningful informa...
Chapter
Fast ion conduction is known to occur in many solid materials, allowing us to perform fundamental studies of diffusion processes in a variety of structures. After briefly discussing classes of solid ionic conductors with increasing complexity in their structural and transport behaviour, we shall focus on polymer electrolytes. A lattice model is des...
Article
Stochastic semi-microscopic models for glassy and polymer ion conductors provide a framework for understanding a variety of experimental transport properties in these materials. In the case of glasses we discuss effects of counter ions and propose a mechanism for constant dielectric loss in terms of a dipolar lattice gas. The behavior of glasses is...
Article
There is a growing need to precisely quantify the selectivity of large compound sets in high throughput screening, directing investment in lead optimization towards compounds with a high chance of success. High-content, high-density screening technologies such as multiparametric ultra-HTS provide a basis for highly precise screening with unpreceden...
Article
Full-text available
Monte Carlo simulations are used to study ion and polymer chain dynamic properties in a simplified lattice model with only one species of mobile ions. The ions interact attractively with specific beads in the host chains, while polymer beads repel each other. Cross linking of chains by the ions reduces chain mobilities which in turn suppresses ioni...
Article
Full-text available
This work is devoted to transport processes in dense polymer systems, with emphasis on ion transport in polymer electrolytes. In polymeric systems, orders of magnitude lie between the time scales of relevant microscopic processes and the time scales on which long--range transport takes place. A direct integration of the microscopic equations of mot...
Article
A semi-microscopic description of ionic transport in polyethylene oxide (PEO)-type electrolytes is presented, which is based on discrete stochastic moves of individual molecular units. Diffusion coefficients for ions and for the center of mass motion of chains are calculated by Monte Carlo simulation as a function of various model parameters, with...
Article
Recent experimental observations of anisotropic conductivity in stretched polymer electrolytes films of the polyethylene oxide family are discussed. The main experimental observations, enhancement of the ionic diffusion and conductivity in the stretch direction and decrease in these transport coefficients in the normal direction are interpreted in...
Article
Full-text available
Tracer-diffusion of small molecules through dense systems of chain polymers is studied within an athermal lattice model, where hard core interactions are taken into account by means of the site exclusion principle. An approximate mapping of this problem onto dynamic percolation theory is proposed. This method is shown to yield quantitative results...
Article
Full-text available
Kramers relaxation times $\tau_{K}$ and relaxation times $\tau_{R}$ and $\tau_{G}$ for the end-to-end distances and for center of mass diffusion are calculated for dense systems of athermal lattice chains. $\tau_{K}$ is defined from the response of the radius of gyration to a Kramers potential which approximately describes the effect of a stationar...
Article
Full-text available
Ion-conducting glasses and polymer systems show several characteristic peculiarities in their composition-dependent diffusion properties and in their dynamic response. First we give a brief review of the current understanding of the ion dynamics in network glasses in terms of stochastic theories. Secondly, a model for PEO(polyethylene-oxide)-based...
Article
Full-text available
Diffusion of ions through a fluctuating polymeric host is studied both by Monte Carlo simulation of the complete system dynamics and by dynamic bond percolation (DBP) theory. Comparison of both methods suggests a multiscale-like approach for calculating the diffusion coefficients of the ions
Article
Structural disorder is an inherent property of solid materials, which can support a macroscopic ionic current. Many transport phenomena in these solid ionic conductors appear to be related to concepts from percolation theory. We demonstrate this for three classes of materials, namely (i) dispersed ionic conductors, which show conductance properties...
Article
Full-text available
Thema dieser Arbeit waren Monte-Carlo-Simulationen zu polymeren Ionenleitern. Dabei lag der Schwerpunkt auf der Entwicklung einer Methode zur Berechnung dynamischer Größen eines Gittermodells von in PEO gelöstem Salz bei konstantem Druck. Damit erhält man zum einen Zugang zu dem experimentell wichtigen (NpT)-Ensemble, zum anderen kann so der Einflu...

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Projects

Projects (2)
Project
Developing a detection method for small mammals, in particular small mustelids and dormice, which has the following advantages over the commonly established practice: • less time-consuming and lower overall costs • better data quality and greater knowledge yield • meeting animal welfare requirements • enabling reliable data collection and analysis by laypeople (citizen sciences)