Serge Guillaume selected papers (Full list)            Homepage

[1] Frédéric Ros, Rabia Riad, and Serge Guillaume. Deep clustering framework review using multicriteria evaluation. Knowledge-Based Systems, 285:111315, 2024. [ DOI |  ]
[2] Frédéric Ros, Rabia Riad, and Serge Guillaume. Pdbi: A partitioning davies-bouldin index for clustering evaluation. Neurocomputing, 528:178-199, 2023. [ DOI |  ]
[3] Frédéric Ros, Serge Guillaume, and Rabia Riad. Path-scan: A novel clustering algorithm based on core points and connexity. Expert Systems with Applications, 210:118316, 2022. [ DOI |  ]
[4] Frédéric Ros, Serge Guillaume, Rabia Riad, and Mohamed El Hajji. Detection of natural clusters via s-dbscan a self-tuning version of dbscan. Knowledge-Based Systems, 241:108288, 2022. [ DOI |  ]
[5] Frédéric Ros and Serge Guillaume. A progressive sampling framework for clustering. Neurocomputing, 450:48-60, 2021. [ DOI |  ]
[6] Frédéric Ros, Serge Guillaume, Mohamed El Hajji, and Rabia Riad. Kdmutual: A novel clustering algorithm combining mutual neighboring and hierarchical approaches using a new selection criterion. Knowledge-Based Systems, 204:106220, 2020. [ DOI |  ]
[7] Denys Yohana Mora-Herrera, Serge Guillaume, Didier Snoeck, and Orlando Zúñiga Escobar. A fuzzy logic based soil chemical quality index for cacao. Computers and Electronics in Agriculture, 177:105624, 2020. [ DOI |  ]
[8] Javier Murillo, Serge Guillaume, Tewfik Sari, and Pilar Bulacio. An algorithm for computing the generalized interaction index for k-maxitive fuzzy measures. Journal of Intelligent and Fuzzy Systems, 38(4):4127-4137, 2020. [ DOI |  ]
[9] Javier Murillo, Flavio Spetale, Serge Guillaume, Pilar Bulacio, Ignacio Garcia Labari, Olivier Cailloux, Sebastien Destercke, and Elizabeth Tapia. Consistency of the tools that predict the impact of single nucleotide variants (snvs) on gene functionality: The brca1 gene. Biomolecules, 10(3), 2020. [ DOI | http ]
[10] Frédéric Ros and Serge Guillaume. A hierarchical clustering algorithm and an improvement of the single linkage criterion to deal with noise. Expert Systems with Applications, 128:96-108, 2019. [ DOI |  ]
[11] Frédéric Ros and Serge Guillaume. Munec: A mutual neighbor-based clustering algorithm. Information Sciences, 486:148-170, June 2019. [ DOI |  ]
[12] Asier Uribeetxebarria, José A. Martínez-Casasnovas, Bruno Tisseyre, Serge Guillaume, Alexandre Escolà, Joan R. Rosell-Polo, and Jaume Arnó. Assessing ranked set sampling and ancillary data to improve fruit load estimates in peach orchards. Computers and Electronics in Agriculture, 164:104931, 2019. [ DOI |  ]
[13] M. Araya-Alman, C. Leroux, C. Acevedo-Opazo, S. Guillaume, H. Valdès-Gómez, N. Verdugo-Vásquez, C. Pañitrur-De la Fuente, and B. Tisseyre. A new localized sampling method to improve grape yield estimation of the current season using yield historical data. Precision Agriculture, 20:445-459, Apr 2019. [ DOI |  ]
[14] Corentin Leroux, Hazaël Jones, Léo Pichon, Serge Guillaume, Julien Lamour, James Taylor, Olivier Naud, Thomas Crestey, Jean-Luc Lablee, and Bruno Tisseyre. Geofis: An open source, decision-support tool for precision agriculture data. Agriculture, 8(6):73, 2018. [ DOI | http ]
[15] Frédéric Ros and Serge Guillaume. Protras: A probabilistic traversing sampling algorithm. Expert Systems with Applications, 105:65-76, 2018. [ DOI |  ]
[16] Javier Murillo, Serge Guillaume, and Pilar Bulacio. k-maxitive fuzzy measures: A scalable approach to model interactions. Fuzzy Sets and Systems, 324:33-48, 2017. [ DOI |  ]
[17] Frédéric Ros and Serge Guillaume. Dides: a fast and effective sampling for clustering algorithm. Knowledge and Information Systems, 50(2):543-56, 2017. [ DOI |  ]
[18] I. Urretavizcaya, J. B. Royo, Miranda C., Bruno Tisseyre, Serge Guillaume, and L. G Santesteban. Relevance of sink-size estimation for within-field zone delineation in vineyards. Precision Agriculture, 18(2):133-144, 2017. [ DOI |  ]
[19] M. Araya-Alman, C. Acevedo-Opazo, S. Guillaume, H. Valdés-Gómez, N. Verdugo-Vásquez, Y. Moreno, and B. Tisseyre. Using ancillary yield data to improve sampling and grape yield estimation of the current season. Advances in Animal Biosciences, 8(2):515–519, 2017. [ DOI |  ]
[20] Frédéric Ros and Serge Guillaume. Dendis: A new density-based sampling for clustering algorithm. Expert Systems with Applications, 56:349-359, 2016. [ DOI |  ]
[21] Flavio Ezequiel Spetale, Pilar Bulacio, Serge Guillaume, Javier Murillo, and Elizabeth Tapia. A spectral envelope approach towards effective svm-rfe on infrared data. Pattern Recognition Letters, 71:59-65, 2016. [ DOI |  ]
[22] Javier Murillo, Serge Guillaume, Flavio Spetale, Elizabeth Tapia, and Pilar Bulacio. Set characterization-selection towards classification based on interaction index. Fuzzy Sets and Systems, 270:74 - 89, 2015. [ DOI |  ]
[23] Frédéric Ros, Rachid Harba, Marco Pintore, and Serge Guillaume. A fast and flexible instance selection algorithm adapted to non-trivial database sizes. Intelligent Data Analysis, 19:631–658, 2015. [ DOI |  ]
[24] I. Urretavizcaya, L. G Santesteban, Bruno Tisseyre, Serge Guillaume, Miranda C., and J. B. Royo. Oenological significance of the zones defined within a vineyard using early grape sampling and comparison of two zone delineation algorithms designed to match different winery requirements. Precision Agriculture, 15:111-129, 2014. [ DOI |  ]
[25] Cécile Coulon, Brigitte Charnomordic, Marie Thiollet-Scholtus, and Serge Guillaume. Imperfect knowledge and data-based approach to model a complex agronomic feature – application to vine vigor. Computer and Electronics in Agriculture, 99:135-145, 2013. [ DOI |  ]
[26] Serge Guillaume, Brigitte Charnomordic, Bruno Tisseyre, and James Taylor. Soft computing-based decision support tools for spatial data. International Journal of Computational Intelligence Systems, 6:18-33, 2013. [  ]
[27] Serge Guillaume and Brigitte Charnomordic. Systèmes d'inférence floue : collaboration expertise et données dans un environnement de modélisation intégrée à l'aide de fispro. Revue d'intelligence artificielle, 27:569-593, 2013. [  ]
[28] Serge Guillaume, Brigitte Charnomordic, and Patrice Loisel. Fuzzy partitions: a way to integrate expert knowledge into distance calculations. Information Sciences, 245:76-95, 2013. [ DOI |  ]
[29] Serge Guillaume and Brigitte Charnomordic. Fuzzy partition-based distance practical use and implementation. In IEEE Catalog Number: CFP12FUZ-USB, editor, IEEE International Conference on Fuzzy Systems, paper F-1136, Hyderabad, India, June 2013. IEEE. [  ]
[30] Javier Murillo, Serge Guillaume, Elizabeth Tapia, and Pilar Bulacio. Revised hlms: A useful algorithm for fuzzy measure identificat ion. Information Fusion, 14(4):532-540, 2013. [ DOI |  ]
[31] L. Santesteban, S. Guillaume, J. Royo, and B. Tisseyre. Are precision agriculture tools and methods relevant at the whole-vineyard scale? Precision Agriculture, 14:2-17, 2013. [ DOI |  ]
[32] Serge Guillaume and Brigitte Charnomordic. Fuzzy inference systems: an integrated modelling environment for collaboration between expert knowledge and data using fispro. Expert Systems with Applications, 39:8744-8755, August 2012. [ DOI |  ]
[33] Serge Guillaume and Brigitte Charnomordic. Parameter optimization of a fuzzy inference system using the fispro open source software. In IEEE Catalog Number: CFP12FUZ-USB, editor, IEEE International Conference on Fuzzy Systems, pages 402-409, Brisbane, Australia, June 2012. IEEE. [  ]
[34] Serge Guillaume, Brigitte Charnomordic, and Bruno Tisseyre. Open source software for modelling using agro-environmental georeferenced data. In IEEE Catalog Number: CFP12FUZ-USB, editor, IEEE International Conference on Fuzzy Systems, pages 1074-1081, Brisbane, Australia, June 2012. IEEE. [  ]
[35] Cécile Coulon, Brigitte Charnomordic, Dominique Rioux, Marie Thiollet-Scholtus, and Serge Guillaume. Prediction of vine vigor and precocity using data and knowledge-based fuzzy inference systems. Journal international des sciences de la vigne et du vin, 46(3):185-206, 2012. [  ]
[36] Serge Guillaume and Brigitte Charnomordic. Learning interpretable fuzzy inference systems with fispro. Information Sciences, 181:4409-4427, 2011. [ DOI |  ]
[37] François Colin, Serge Guillaume, and Bruno Tisseyre. Small catchment agricultural management using decision variables defined at catchment scale and a fuzzy rule-based system: a mediterranean vineyard case study. Water Resources Management, 25:2649-2668, 2011. [ DOI |  ]
[38] James A. Taylor, César Acevedo-Opazo, Serge Guillaume, Hernán Ojeda, and Bruno Tisseyre. A comment on inter-field spatial extrapolation of vine (vitis vinifera l.) water status. Journal international des sciences de la vigne et du vin, 45(2):121-124, 2011. [  ]
[39] Bernard Panneton, Serge Guillaume, Guy Samson, and Jean-Michel Roger. Discrimination of corn from monocotyledonous weeds with ultraviolet (uv) induced fluorescence. Applied Spectroscopy, 65(1):10-19, 2011. [ DOI |  ]
[40] N. Tremblay, M.Y. Bouroubi, B. Panneton, S. Guillaume, P. Vigneault, and C. Bélec. Development and validation of fuzzy logic inference to determine optimum rates of n for corn on the basis of field and crop features. Precision Agriculture, 11(6):621-635, 2010. [ DOI |  ]
[41] Pilar Bulacio, Serge Guillaume, Elizabeth Tapia, and Luis Magdalena. A selection approach for scalable fuzzy integral combination. Information Fusion, 11(2):208-213, 2010. [ DOI |  ]
[42] César Acevedo-Opazo, Bruno Tisseyre, James A. Taylor, Hernán Ojeda, and Serge Guillaume. A model for the spatial prediction of water status in vines (vitis vinifera l.) using high resolution ancillary information. Precision Agriculture, 11(4):358-378, 2010. [ DOI |  ]
[43] Bernard Panneton, Serge Guillaume, Jean-Michel Roger, and Guy Samson. Improved discrimination between monocotyledonous and dicotyledonous plants for weed control based on the blue-green region of ultraviolet-induced fluorescence spectra. Applied Spectroscopy, 64(1):30-36, 2010. [ DOI |  ]
[44] Moacir Pedroso, James Taylor, Bruno Tisseyre, Brigitte Charnomordic, and Serge Guillaume. A segmentation algorithm for the delineation of management zones. Computer and Electronics in Agriculture, 70(1):199-208, 2010. [ DOI |  ]
[45] César Acevedo-Opazo, Bruno Tisseyre, Hernán Ojeda, and Serge Guillaume. Spatial extrapolation of the vine (vitis vinifera l.) water status: a first step towards a spatial prediction model. Irrigation Science, 28(2):143-155, 2010. [ DOI |  ]
[46] M. El Hajj, A. Bégué, and Guillaume. Integrating spot-5 time series, crop growth modeling and expert knowledge for monitoring agricultural practices - the case of sugarcane harvest on reunion island. Remote Sensing of Environment, 113(10):2052-2061, October 2009. [ DOI |  ]
[47] Hazael Jones, Brigitte Charnomordic, Didier Dubois, and Serge Guillaume. Practical inference with systems of gradual implicative rules. IEEE Transactions on Fuzzy Systems, 17(1):61-78, 2009. [ DOI |  ]
[48] César Acevedo-Opazo, Bruno Tisseyre, Serge Guillaume, and Hernán Ojeda. The potential of high spatial resolution information to define within-vineyard zones related to vine water status. Precision Agriculture, 9(5):285-302, 2008. [ DOI |  ]
[49] César Acevedo-Opazo, Bruno Tisseyre, Hernán Ojeda, Samuel Ortega-Farias, and Serge Guillaume. Is it possible to assess the spatial variability of vine water status? International Journal of wine and vine research, 42(4):203-219, 2008. [  ]
[50] Bernard Panneton, Jean-Michel Roger, Serge Guillaume, and Louis Longchamps. Effects of preprocessing of ultraviolet-induced fluorescence spectra in plant fingerprinting applications. Applied Spectroscopy, 62(7):747-752, July 2008. [ DOI |  ]
[51] José M. Alonso, Luis Magdalena, and Serge Guillaume. Hilk:a new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism. International Journal of Intelligent Systems, 23(7):761-794, 2008. [ DOI |  ]
[52] Frédéric Ros, Serge Guillaume, Marco Pintore, and Jacques R. Chrétien. Hybrid genetic algorithm for dual selection. Pattern Anal. Appl., 11(2):179-198, 2008. [ DOI |  ]
[53] Yvan Gil, Carole Sinfort, Serge Guillaume, Yves Brunet, and Bernard Palagos. Influence of micrometeorological factors on pesticide loss to the air during vine spraying: Data analysis with statistical and fuzzy inference models. Biosystems Engineering, 100(2):184-197, 2008. [ DOI |  ]
[54] Sébastien Destercke, Serge Guillaume, and Brigitte Charnomordic. Building an interpretable fuzzy rule base from data using orthogonal least squares- application to a depollution problem. Fuzzy Sets and Systems, 158:2078-2094, 2007. [ DOI |  ]
[55] J.M. Alonso, L. Magdalena, S. Guillaume, M.A. Sotelo, L.M. Bergasa, M. Ocaña, and R. Flores. Knowledge-based intelligent diagnosis of ground robot collision with non detectable obstacles. Journal of Intelligent and Robotic Systems, 48(4):539-566, 2007. [ DOI |  ]
[56] Jean-Noel Paoli, Olivier Strauss, Bruno Tisseyre, Jean-Michel Roger, and Serge Guillaume. Spatial data fusion for qualitative estimation of fuzzy request zones: Application on precision viticulture. Fuzzy Sets and Systems, 158(5):535-554, March 2007. [ DOI |  ]
[57] Mathieu Grelier, Serge Guillaume, Bruno Tisseyre, and Thibaut Scholasch. Precision viticulture data analysis using fuzzy inference systems. Journal international des sciences de la vigne et du vin, 41(1):19-31, 2007. [  ]
[58] Serge Guillaume and Luis Magdalena. Expert guided integration of induced knowledge into a fuzzy knowledge base. Soft computing, 10(9):773-784, 2006. [ DOI |  ]
[59] Jean-Michel Roger, Bernard Palagos, Serge Guillaume, and Véronique Bellon-Maurel. Discriminating from highly multivariate data by focal eigen function discriminant analysis - application to nir spectra. Chemometrics and Intelligent Laboratory Systems, 79(1-2):31-41, October 2005. [ DOI |  ]
[60] Serge Guillaume and Brigitte Charnomordic. Generating an interpretable family of fuzzy partitions. IEEE Transactions on Fuzzy Systems, 12(3):324-335, 2004. [ DOI |  ]
[61] Serge Guillaume, Brigitte Charnomordic, and André Titli. A distance metric suitable for fuzzy partitioning. In IEEE, editor, FUZZ'IEEE 2001, volume 1, pages 264-267, December 2001. [ DOI ]
[62] Serge Guillaume and Brigitte Charnomordic. Knowledge discovery for control purposes in food industry databases. Fuzzy sets and Systems, 122(3):487-497, September 2001. [ DOI |  ]
[63] Serge Guillaume. Designing fuzzy inference systems from data: an interpretability-oriented review. IEEE Transactions on Fuzzy Systems, 9(3):426-443, 2001. [ DOI |  ]
[64] Anne Calmon, Serge Guillaume, Véronique Bellon-Maurel, Pierre Feuilloley, and Françoise Sylvestre. Evaluation of material biodegradability in real conditions. development of a burial test and an analysis methodology based on numerical vision. Journal of Environmental Polymer Degradation, 7(3):157-166, 1999. [  ]
[65] Bruno Novales, Serge Guillaume, Marie-Françoise Devaux, and Marc Chaurand. Particle size characterization of in-flow milling products by video image analysis using global features. Journal of the Science of Food and Agriculture, 78:187-195, 1998. [  ]
[66] Frédéric Ros, Serge Guillaume, and Véronique Bellon-Maurel. Classification of a granular product using high-level fusion of vision features. Journal of Agricultural Engineering Research, 68(2):115-124, 1997. [  ]
[67] Frédéric Ros, Serge Guillaume, Gilles Rabatel, Francis Sévila, and Dominique Bertrand. Combining global and individual image features to characterize granular product populations. Journal of Chemometrics, 11(6):483-500, 1997. [  ]
[68] Frédéric Ros, Serge Guillaume, Véronique Bellon-Maurel, and Dominique Bertrand. Building and pre-processing of image data using indexes of representativeness and classification applied to granular product characterization. Journal of Chemometrics, 11(6):469-482, 1997. [  ]
[69] Serge Guillaume, Frédéric Ros, Marc Chaurand, and Véronique Bellon-Maurel. Characterization of mill products by analysis of in-flow digitalized images. Journal of Food Engineering, 27(3):311-322, 1996. [  ]
[70] Frédéric Ros, Serge Guillaume, Gilles Rabatel, and Francis Sévila. Recognition of overlapping particles in granular products images using statistics and neural networks. Food Control, 6(1):37-43, 1995. [  ]

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