Download all available short papers, oral presentations, posters
Congress replay (videos on Youtube)
Agrostat 2016 (March 21-24), e-Proceedings 14th Symposium on Statistical Methods for the Food Industry |
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Opening presentations | video | |||
Sébastien Marque | Video | |||
Nicolas Pineau | Video | |||
Andréas Rytz | Video | |||
Alexandre Voirin | Video | |||
Session I: Chemometrics | short paper | poster/ slides | video | |
1.IS | Invited speaker: Duglas Rutledge (AgroParisTech, France) Independent Components Analysis : theory, applications and difficulties | Video | ||
1.O1 | New formulation for multi-block PLS-DA. Application to metabolomics data. Véronique Cariou, El Mostafa Qannari, Mohamed Soumah, Marie-Cécile Alexandre-Gouabau, Thomas Moyon | |||
1.O2 | Computation on partitionned matrices in chemometrics and sensometrics. Mohamed Hanafi | Video | ||
1.O3 | Simultaneous decomposition of multivariate images: Application to near infrared hyperspectral images of wheat. Benoît Jaillais, Eloïse Lancelot, Philippe Courcoux | |||
1.O4 | New experimental designs for mixture problems. Aurélie Béal, Charles Gomes, Magalie Claeys-Bruno, Michelle Sergent | Video | ||
1.O5 | Reconciling mixture designs and factorial designs in order to identify best recipes in a holistic way. Andreas Rytz, Mireille Moser, Mélissa Lepage, Cassandra Mokdad, Marie Perrot, Nicolas Antille, Nicolas Pineau | Video | ||
Session II: Big Data | short paper | poster/ slides | video | |
2.IS | Invited speaker: Karl Aberer (EPFL, Switzerland) The Human factor in Big Data Analysis | Video | ||
2.O1 | Veracity Scoring of Social Media Content. Mark Wolff | Video | ||
2.O2 | Deploying R&D analytics at the pace of the data-driven business. Adrian Clarke | Video | ||
2.O3 | The advent of Big Data in Agriculture. Salima Taibi | Video | ||
2.O4 | Many small data can make a big database. The SensoBase story. Pascal Schlich, Caroline Peltier, Nadra Mammasse, Nicolas Pineau | Video | ||
Big Data round table – Chairman: Diego Kuonen (Statoo Consulting) | ||||
2.T1 | Mark Wolff (SAS) | Video | ||
2.T2 | Christophe Sauce (Danone) | Video | ||
2.T3 | Discussion | Video | ||
Session III: Sensometrics | short paper | poster/ slides | video | |
3.IS | Invited speaker: Hal MacFie (Hal McFie Sensory Training Ltd, UK) Sensometrics has got to move on! | Video | ||
3.O1 | Using partial bootstrap to evaluate the uncertainty associated with TCATA product trajectories. John C. Castura, Allison K. Baker, Carolyn F. Ross | Video | ||
3.O2 | Les modèles d’Unfolding multidimensionnel pour l’analyse des préférences. Philippe Courcoux, Eric Teillet | Video | ||
3.O3 | Causal reasoning applied to sensory analysis: the case of the Italian wine. Silvia Golia, Eugenio Brentari, Maurizio Carpita | Video | ||
3.O4 | Extension of ComDim for the analysis of (K+1) datasets; application in sensometrics. Angelina El-Ghaziri, Véronique Cariou, Douglas Rutledge, El Mostafa Qannari | Video | ||
3.O5 | Inter-panel diagnosis, a comparison of palatability answers obtained in expert, semi-expert and in-home cat panels. Laure Le Paih, Julien Rogues, Claire Forges, Christelle Tobie | |||
Sensometrics round table – Chairman: Hal McFie (Hal McFie Sensory Training Ltd, UK) | ||||
3.T1 | Sensometrics at L’Oréal Research & Innovation: from gentle supporter to connected and innovated actor.Damien Brémaud | Video | ||
3.T2 | Discussion | Video | ||
Session IV: Risk& Process | short paper | poster/ slides | video | |
4.IS | Invited speaker: Richard Brereton (Bristol University, UK) The challenges of validating multivariate methods for pattern recognition | Video | ||
4.O1 | Proof of safety for a new variety/ product relative to a common-used one for multiple endpoints. Ludwig Hothorn | Video | ||
4.O2 | Quantification of water content in biscuit using near infrared hyperspectral imaging spectroscopy and Chemometrics. Eloïse Lancelot, Philippe Courcoux, Sylvie Chevallier, Alain Le-Bail, Benoît Jaillais | Video | ||
4.O3 | How many data for “process capability”? Scott Hindle | Video | ||
4.O4 | Comment les plans d’expériences contribuent au développement durable. Eva Bessac | Video | ||
Risk & Process round table – Chairman: Enrico Chavez (Nestlé) | ||||
4.T1 | John O’Brien (Nestlé) | Video | ||
4.T2 | Sébastien Preys (Ondalys) | Video | ||
4.T3 | Discussion | Video | ||
Poster presentations | short paper | poster/ slides | video | |
Chemometrics posters | ||||
1.P1 | Chemometric analysis of Near-Infrared spectra for determining molecular distribution of gelatin extracted from pork rinds. Simon Duthen, Adil Ouali Alami, Didier Kleiber, Frédéric Violleau, Christine Raynaud, Jean Dayde, Cécile Levasseur-Garcia | Video | ||
1.P2 | Estimation of Chemical Composition of Quinoa (Chenopodium quinoa Willd.) by Near-Infrared Transmittance Spectroscopy. Christian Encina-Zelada, Vasco Cadavez, Jorge Pereda, Luz Gómez-Pando, José A. Teixeira, Ursula Gonzales-Barron | Video | ||
1.P3 | Modelling sensory property against instrumental measurements by PLS-Path Modeling:application to dairy products. Marine Masson, Anne Saint-Eve, Delphine Huc, David Blumenthal | Video | ||
1.P4 | Proposal of statistical procedure to relate aroma chemistry data to aroma sensory data. Marie Auda, Nicolas Pineau, Andréas Rytz, Frederic Mestdagh, Luigi Poisson | |||
1.P5 | Development of goji berries in brewing : comparisons between analytical data and sensory. Julien Ducruet, Pierrick Rébénaque, Serge Diserens, Agnieszka Kosinska Cagnazzo, Isabelle Héritier, Wilfried Andlauer | |||
Big Data posters | ||||
2.P1 | A formal approach for the representation and the combination of imperfect data. Jérôme Dantan, Yann Pollet, Salima Taibi | Video | ||
2.P2 | Nestlé’s state-of-the-art technologies to keep Food Safe and improve global Public Health. Catherine Ngom-Bru, Caroline Barretto | Video | ||
Sensometrics posters | ||||
3.P1 | Kinetics of consumption, an innovative tool to measure cat food palatability and satiety. Julien Rogues, Laure Le Paih, Claire Forges | |||
3.P3 | Replicates in sensory profiling, One vs. two assessments. Mireille Moser, Mélissa Lepage, Nicolas Pineau, Andréas Rytz | Video | ||
3.P4 | Proposal for addressing parameter effect significance in a factorial design of experiment with sensory data. Mireille Moser, Thorn Thaler, Nicolas Pineau, Andreas Rytz | Video | ||
3.P5 | Product’s sensory characterization and study of preference using paired comparison approach. Lucile Riaboff, Thibault Schneider | Video | ||
3.P6 | An alternative to preference mapping: Regression trees and Random forests. Application to preferences for ciders. Léa Koenig, Adèle Lepetit, Ronan Symoneaux, Philippe Courcoux | Video | ||
3.P7 | Recursive partitioning methods for identifying relevant variables in a sparse unbalanced data set. Orlane Briand, Ivanne Debec, Arnaud Montet, Lorraine de Malleray, Evelyne Vigneau | Video | ||
3.P8 | Use of symbolic principal component analysis to account for imprecision within the sensory map of products. Cynthia Cordier, Claire Grandière, Cécile Coulon-Leroy, Véronique Cariou | |||
Risk& Process posters | ||||
4.P1 | Risques et procédés chez Nespresso : l’appui des statistiques. Marc Moal, Julien Viquerat, Robert Collis | Video | ||
4.P2 | Heat resistance of Escherichia coli O104:H4 in ground chicken as affected by pomegranate powder (70% ellagic acid). Vasco Cadavez, Ursula Gonzales-Barron, Vijay J. Juneja | Video | ||
4.P3 | Prediction of dosing behavior based on powder properties using Lasso regression and Monte-Carlo techniques. Jean-Vincent Le Bé, Sophie Berçot, Isabelle Castella, Vincent Girard, Marie Perrot | Video | ||
corneR posters | short paper | poster/ slides | video | |
R.1 | Monitoring sensory panel performances with the MAMCAP R-package. Caroline Peltier, Michel Visalli, Pascal Schlich | Video | ||
R.2 | Mapping products with the CVA R-package. Caroline Peltier, Michel Visalli, Pascal Schlich | Video | ||
R.3 | ClustVarLV : an R package for the clustering of variables around latent variables. Evelyne Vigneau | Video | ||
R.4 | FreeSortR : a R package for the analysis of free sorting data. Philippe Courcoux | Video | ||
R.5 | MatrixCorrelation: an R package for assessing and exploring the similarity between data sets. Kristian Hovde Liland, Tormod Næs, Ulf Geir Indahl | Video | ||
R.6 | CompR : R package for uni or multivariate preference data analysis using paired comparison model. Michel Séménou | Video | ||
R.7 | tempR: Temporal sensory data analysis. John C. Castura | Video | ||
Closure presentation | video | |||
Nicolas Pineau & Sébastien Marque | Video |