Search Results - "Garbay, Catherine"

Learning recurrent behaviors from heterogeneous multivariate time-series by Duchêne, Florence, Garbay, Catherine, Rialle, Vincent

“…Summary Objective For the last years, time-series mining has become a challenging issue for researchers. An important application lies in most monitoring…”
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Supporting flexible regulation of crisis management by means of situated artificial institution by De Brito, Maiquel, Thévin, Lauren, Garbay, Catherine, Boissier, Olivier, Hübner, Jomi Fred

“…This paper highlights the use of situated artificial institution （SAI） within a hybrid, interactive, normative multi-agent system to regulate human…”
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Distributed Markovian segmentation: Application to MR brain scans by Richard, Nathalie, Dojat, Michel, Garbay, Catherine

“…A situated approach to Markovian image segmentation is proposed based on a distributed, decentralized and cooperative strategy for model estimation. According…”
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Distributed Local MRF Models for Tissue and Structure Brain Segmentation by Scherrer, B., Forbes, F., Garbay, C., Dojat, M.

“…Accurate tissue and structure segmentation of magnetic resonance (MR) brain scans is critical in several applications. In most approaches this task is handled…”
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Knowledge construction from time series data using a collaborative exploration system by Guyet, Thomas, Garbay, Catherine, Dojat, Michel

“…This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be…”
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Supporting Flexible Regulation of Crisis Management by means of Situated Artificial Institution, Frontiers of Information Technology & Electronic Engineering by de Brito, Maiquel, Thévin, Lauren, Garbay, Catherine, Boissier, Olivier, Hübner, Jomi Fred

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Sequential physiological analysis of daily-life recordings by Fontecave-Jallon, Julie, Calabrese, Pascale, Vettier, Benoît, Garbay, Catherine, Baconnier, Pierre

“…Non invasive monitoring of chronic patients or sports(wo)men needs the development of real-time evaluation of individual physiological state. Our hypothesis is…”
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Knowledge construction from time series data using a collaborative exploration approach by Guyet, Thomas, Garbay, Catherine, Dojat, Michel

“…This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be…”
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Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans by Scherrer, Benoit, Dojat, Michel, Forbes, Florence, Garbay, Catherine

“…Summary Objective Markov random field (MRF) models have been traditionally applied to the task of robust-to-noise image segmentation. Most approaches estimate…”
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Automated segmentation of human brain MR images using a multi-agent approach by Richard, Nathalie, Dojat, Michel, Garbay, Catherine

“…Image interpretation consists in finding a correspondence between radiometric information and symbolic labeling with respect to specific spatial constraints…”
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PII: S0933-3657(00)00040-3 by Garbay, Catherine

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Mass data exploration in oncology: An information synthesis approach by Bourbeillon, Julie, Garbay, Catherine, Giroud, Françoise

“…New technologies and equipment allow for mass treatment of samples and research teams share acquired data on an always larger scale. In this context scientists…”
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A cooperative framework for segmentation of MRI brain scans by Germond, Laurence, Dojat, Michel, Taylor, C, Garbay, C

“…Automatic segmentation of MRI brain scans is a complex task for two main reasons: the large variability of the human brain anatomy, which limits the use of…”
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Multi-level temporal abstraction for medical scenario construction by Silvent, Anne-Sophie, Dojat, Michel, Garbay, Catherine

“…The automatic recognition of typical pattern sequences (scenarios), as they are developing, is of crucial importance for computer‐aided patient supervision…”
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Image Structure Representation and Processing: A Discussion of Some Segmentation Methods in Cytology by Garbay, Catherine

“…Image processing methods (segmentation) are presented in connection with a modeling of image structure. An image is represented as a set of primitives,…”
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Sound classification in indoor environment thanks to belief functions by Labourey, Quentin, Pellerin, Denis, Rombaut, Michele, Aycard, Olivier, Garbay, Catherine

“…Sounds provide substantial information on human activities in an indoor environment, such as an apartment or a house, but it is a difficult task to classify…”
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A knowledge-driven agent-centred framework for data mining in EMG by Balter, Julien, Labarre-Vila, Annick, Ziébelin, Danielle, Garbay, Catherine

“…In this paper, we present a multi-agent framework for data mining in electromyography. This application, based on a web interface, provides a set of…”
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Multimodal MRI segmentation of ischemic stroke lesions by Kabir, Y., Dojat, M., Scherrer, B., Garbay, C., Forbes, F.

“…The problem addressed in this paper is the automatic segmentation of stroke lesions on MR multi-sequences. Lesions enhance differently depending on the MR…”
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A society of goal-oriented agents for the analysis of living cells by Boucher, Alain, Doisy, Anne, Ronot, Xavier, Garbay, Catherine

“…This paper presents a new model for the segmentation and analysis of living cells. A multi-agent model has been developed for this application. It is based on…”
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Fully Bayesian joint model for MR brain scan tissue and structure segmentation by Scherrer, B, Forbes, F, Garbay, C, Dojat, M

“…In most approaches, tissue and subcortical structure segmentations of MR brain scans are handled globally over the entire brain volume through two relatively…”
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