Publications des institutions partenaires
Regulation of crowdlending: the case of Switzerland
The increasing interdependence of firms and individuals throughout the world facilitates the development of the crowdlending market. Crowdlending is an emerging source of financing involving open calls to the public, generally via internet, to finance with loans individuals or companies (Meyer, 2007). The major role of crowdlending activities has been to bring new energy to a global…
Institution partenaire
English / 13/11/2017
Regulation of crowdlending: : the case of Switzerland
The increasing interdependence of firms and individuals throughout the world facilitates the development of the crowdlending market. Crowdlending is an emerging source of financing involving open calls to the public, generally via internet, to finance with loans individuals or companies (Meyer, 2007). The major role of crowdlending activities has been to bring new energy to a global…
Institution partenaire
English / 13/11/2017
Regulation of crowdlending ::the case of Switzerland
The increasing interdependence of firms and individuals throughout the world facilitates the development of the crowdlending market. Crowdlending is an emerging source of financing involving open calls to the public, generally via internet, to finance with loans individuals or companies (Meyer, 2007). The major role of crowdlending activities has been to bring new energy to a global…
Institution partenaire
English / 13/11/2017
Fundamentals of texture processing for biomedical image analysis: : a general definition and problem formulation
This chapter aims to provide an overview of the foundations of texture processing for biomedical image analysis. Its purpose is to define precisely what biomedical texture is, how is it different from general texture information considered in computer vision, and what is the general problem formulation to translate 2Dand 3Dtextured patterns from biomedical images to visually and…
Institution partenaire
English / 11/11/2017
Effective Trust Management- An Evidence-based Practitioner‘s Guideline on how to Enable Stakeholders‘ Trust in Institutions
This infographic targets the debate on the dichotomy of trust and distrust, arguing in favor of trust and distrust being two seperate constructs, hence are not two opposite ends of the same continuum. Further, this infographic shows, that trust and distrust have different antecedents, distinct properties and disparate outcomes.
Given this, this infographic further summarizes…
Institution partenaire
English / 09/11/2017
Schadenfreude: A counter-normative observer response to workplace mistreatment
Although almost all employees have heard of or witnessed their colleagues being mistreated, we have an incomplete understanding of how employees perceive and respond to such events. Whereas past research has established that observer emotions can be congruent with victim emotions, we examine observer schadenfreude, an incongruent emotion that is also prevalent in organizations. Based…
Institution partenaire
English / 09/11/2017
Going beyond the relapse peak on social network smoking cessation programmes: : ChatBot opportunities
Research question: A social network programme called J’arrête de fumer was set up in 2016 in the six French-speaking cantons of Switzerland. It consists of Facebook groups where people agree on a date to quit smoking. A peak of relapse appears during the first three weeks of the programme. This research aims to explore the feasibility of building a Chatbot to help people to get over…
Institution partenaire
English / 06/11/2017
MedRed: a health-care data acquisition service for research purposes
Research in the health-care domain requires the collection of important and exhaustive datasets, in order to validate a scientific hypothesis, or to assess the effectiveness of a treatment, technology, medicine, or procedure. The data acquisition phase for this type of work requires an often under-estimated amount of time and effort, while needing to keep high quality standards for…
Institution partenaire
English / 06/11/2017
Metabolic tumor volume and total lesion glycolysis in oropharyngeal cancer treated with definitive radiotherapy: : which treshold is the best predictor of local control ?
Institution partenaire
English / 06/11/2017
Multi-scale and multi-directional biomedical texture analysis: : finding the needle in the haystack
This chapter clarifies the important aspects of biomedical texture analysis under the general framework introduced in Chapter 1. It was proposed that any approach can be character-ized as the combination of local texture operators and regional aggregation functions. The type of scale and directional information that can or cannot be modeled by categories of texture processing methods…
Institution partenaire
English / 06/11/2017
QuantImage: : an online tool for high-throughput 3D radiomics feature extraction in PET-CT
Theprocessesofradiomicsconsistofimage-basedpersonalizedtumorphenotypingforpre-cision medicine. They complement slow, costly and invasive molecular analysis of tumoral tissue. Whereastherelevanceofalargevarietyofquantitativeimagingbiomarkershasbeen demonstrated for various cancer types, most studies were based on 2D image analysis of relatively small patient cohorts. In this work, we…
Institution partenaire
English / 06/11/2017
Retrieval from and understanding of large–scale multi–modal medical datasets: : a review
Content–based multimedia retrieval has been an active research domain since the mid 1990s. In the medical domain visual retrieval started later and has mostly remained a research instrument and less a clinical tool, even though a few tools for retrieval are employed in clinical work. The limited size of data sets due to privacy constraints is often mentioned as a reason for these…
Institution partenaire
English / 06/11/2017
Work-family enrichment: when love helps
Institution partenaire
English / 06/11/2017
Third-Party Logistics Providers in the Digital Age: Towards a New Competitive Arena?
This paper looks at the impact of digitalization on third-party logistics (3PL) business models. An eclectic framework for the analysis of digital disruptions in service industries is elaborated by linking Porter’s five forces to insights from research on digitalization and innovation. Applying this framework to the business field of 3PL reveals that logistics service providers face…
Institution partenaire
English / 04/11/2017
Semi-automatic training of an object recognition system in scene camera data using gaze tracking and accelerometers
Object detection and recognition algorithms usually require large, annotated training sets. The creation of such datasets requires expensive manual annotation. Eye tracking can help in the annotation procedure. Humans use vision constantly to explore the environment and plan motor actions, such as grasping an object. In this paper we investigate the possibility to semi-automatically…
Institution partenaire
English / 03/11/2017
The MedRed ontology for representing clinical data acquisition metadata
Electronic Data Capture (EDC) software solutions are progressively being adopted for conducting clinical trials and studies, carried out by biomedi-cal, pharmaceutical and health-care research teams. In this paper we present the MedRed Ontology, whose goal is to represent the metadata of these studies, using well-established standards, and reusing related vocabularies to describe…
Institution partenaire
English / 03/11/2017
The Snowden disclosures, technical standards, and the making of surveillance infrastructures
The Snowden documents have revealed that intelligence agencies conduct large-scale digital surveillance by exploiting vulnerabilities in the hardware and software of communication infrastructures. These vulnerabilities have been characterized as “weaknesses,” “flaws,” “bugs,” and “backdoors.” Some of these result from errors in the design or implementation of systems, others from…
Institution partenaire
English / 02/11/2017
Training deep convolutional neural networks with active learning for exudate classification in eye fundus images
Training deep convolutional neural network for classification in medical tasks is often difficult due to the lack of annotated data sam-ples. Deep convolutional networks (CNN) has been successfully used as an automatic detection tool to support the grading of diabetic retinopa-thy and macular edema. Nevertheless, the manual annotation of exu-dates in eye fundus images used to classify…
Institution partenaire
English / 02/11/2017
KOF Prognose der Gesundheitsausgaben Herbst 2017
Köthenbürger, Marko; Sandqvist, Anna Pauliina
Institution partenaire
English, Deutsch / 01/11/2017
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