Search results for "Information Retrieval"
showing 10 items of 924 documents
Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration
2006
Abstract This paper deals with tropospheric ozone modelling by using Artificial Neural Networks (ANNs). In this study, ambient ozone concentrations are estimated using surface meteorological variables and vehicle emission variables as predictors. The work is especially focused on analysing the importance of the input variables used by these models. This analysis is carried out in different time windows: all the time of study (April of 1997, 1999 and 2000), one month (April 1999), and finally, an hourly analysis. All the information extracted from these analyses can determine the most important factors in tropospheric ozone formation, thus achieving a qualitative model from the quantitative …
A matlab toolbox for music information retrieval
2008
We present MIRToolbox, an integrated set of functions written in Matlab, dedicated to the extraction from audio files of musical features related, among others, to timbre, tonality, rhythm or form. The objective is to offer a state of the art of computational approaches in the area of Music Information Retrieval (MIR). The design is based on a modular framework: the different algorithms are decomposed into stages, formalized using a minimal set of elementary mechanisms, and integrating different variants proposed by alternative approaches — including new strategies we have developed —, that users can select and parametrize. These functions can adapt to a large area of objects as input.
Video preprocessing for audiovisual indexing
2003
We address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important and reusable information that can be used for other news programs. In a previous paper, we presented a technique based on a priori knowledge of the editing techniques used in news sequences which allowed a fast search of news stories (see Albiol, A. et al., 3rd Int. Conf. on Audio and Video-based Biometric Person Authentication, p.366-71, 2001). We now present a new shot descriptor technique which improves the previous search results by using a simple, yet efficient, algorithm, based on the information contained in consecutive fra…
Understanding the crowdfunding phenomenon and its implications for sustainability
2019
Abstract Nonetheless the large body of knowledge rapidly accumulated on crowdfunding as well as the growing relevance of this phenomenon for sustainability, there are very few studies on the role of crowdfunding for sustainability-oriented projects, and many related issues are still far from being fully understood. This signalises a clear need for unveiling the main dynamics of the relationship between crowdfunding and sustainability, and also opening up useful directions for future research on this relationship. To conceptualize the implications of crowdfunding for sustainability, we propose and use a framework, encompassing five dimensions, namely the project creator, the backers, the cam…
The Impact of Family and Work-Life Balance Policies on the Performance of Spanish Listed Companies
2014
Work-life balance has become a topic of great relevance in today's business world. In this work we present both a theoretical review on the state of art in this issue and an analysis testing the validity of the positive impact of work-life balance policies in firm performance. For the empirical analyses of these policies on performance we evaluated a sample composed of firms listed in IBEX-35. Findings provide support for the idea that introducing work-life balance practices benefits the company with respect to talent retention and higher employee engagement, as well as achieving a positive impact on productivity, costs and business results.
The Balanced Scorecard as a Knowledge Management Tool: A French Experience in a Semi-Public Insurance Company
2008
International audience; In this paper we present the Balanced Scorecard, a Strategic Control tool, which is quite famous all around the world and in the European countries. Its principle objective is to articulate planning decisions with control ones thanks to non-financial indicators. The Strategic Control and the Agency Theories constitute the foundation of this tool. But in Northern Europe, some specific Balanced Scorecard have been designed in the framework of the Knowledge Management Theory. To work, the Balanced Scorecard needs a sophisticated information system support. Using two theoretical backgrounds, the Strategic Control approach and the Knowledge Management Theory, we analyse t…
A summary of genomic databases: overview and discussion
2009
In the last few years both the amount of electronically stored biological data and the number of biological data repositories grew up significantly (today, more than eight hundred can be counted thereof). In spite of the enormous amount of available resources, a user may be disoriented when he/she searches for specific data. Thus, the accurate analysis of biological data and repositories turn out to be useful to obtain a systematic view of biological database structures, tools and contents and, eventually, to facilitate the access and recovery of such data. In this chapter, we propose an analysis of genomic databases, which are databases of fundamental importance for the research in bioinfo…
BIOfid dataset: publishing a German gold standard for named entity recognition in historical biodiversity literature
2019
The Specialized Information Service Biodiversity Research (BIOfid) has been launched to mobilize valuable biological data from printed literature hidden in German libraries for over the past 250 years. In this project, we annotate German texts converted by OCR from historical scientific literature on the biodiversity of plants, birds, moths and butterflies. Our work enables the automatic extraction of biological information previously buried in the mass of papers and volumes. For this purpose, we generated training data for the tasks of Named Entity Recognition (NER) and Taxa Recognition (TR) in biological documents. We use this data to train a number of leading machine learning tools and c…
A Coclustering Approach for Mining Large Protein-Protein Interaction Networks
2012
Several approaches have been presented in the literature to cluster Protein-Protein Interaction (PPI) networks. They can be grouped in two main categories: those allowing a protein to participate in different clusters and those generating only nonoverlapping clusters. In both cases, a challenging task is to find a suitable compromise between the biological relevance of the results and a comprehensive coverage of the analyzed networks. Indeed, methods returning high accurate results are often able to cover only small parts of the input PPI network, especially when low-characterized networks are considered. We present a coclustering-based technique able to generate both overlapping and nonove…
Polarization Modulation Instability in All-Normal Dispersion Microstructured Optical Fibers with Quasi-Continuous 1064 nm Pump
2019
Polarization modulation instability (PMI) is a form of modulation instability that can exist in weakly birefringent optical fibers [1]. Sidebands can be generated by this effect when a polarization mode of the birefringent fiber is excited with an intense optical pump. The polarization state of the sidebands is orthogonal to the polarization of the pump signal. PMI has been observed in microstructured optical fibers (MOFs). PMI was reported in a large-air-filling fraction MOF that was pumped in the normal dispersion regime with visible light [2]. The coherent degradation of femtosecond supercontinuum light generated in all-normal dispersion (ANDi) MOFs due to PMI was recently investigated […