Qian, X., Cabanes, G., Rastin, P., Guidani, M. A., Marrakchi, G., Clausel, M., Grozavu, N.: An Innovative Framework for Static and Dynamic Clustering using Histogram Models and Wasserstein Distance over Sliding Windows, ffhal-04337312f (2023).
Hoffmann, V., Nahmed, I., Rastin, P., Cabanes, G., and Boisse, J.: Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic Fiber Composites, arXiv:2310.15188 (2023).
Rodriguez, A., Fresneau, D., Cabanes, G.: Characterization of an ant colony (Paraponera clavata) during rest and relocation phases. BioRxiv, 2022.07. 03.498617 (2022).
Cabanes, G., Bennani, Y., Verde, R., Irpino, A.: On the use of Wasserstein metric in topological clustering of distributional data. arXiv:2109.04301 (2021).
Cabanes, G., Bennani, Y., Rastin, P.: Histogram Self Organizing Map for Cluster Detection and Visualization. Neural Computing and Applications. doi.org/10.1007/s00521-025-11530-w (2025).IF 5.1
Qian X., Cabanes G., Rastin P., Guidani M.A., Marrakchi G., Clausel M., Grozavu N.: Incremental clustering based on Wasserstein distance between histogram models. Pattern Recognition, 162, 111414. doi.org/10.1016/j.patcog.2025.111414 (2025). IF 7.5
Ben Bouazza F-Z., Bennani Y., Touzani A., Cabanes, G.: Unsupervised collaborative learning based on optimal transport theory. Journal of Intelligent Systems, 30(1), 698–719. doi.org/10.1515/jisys-2020-0068 (2021). IF 1.83
Sublime, J., Cabanes, G., Matei, B.: Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering. Entropy, 21(10), 951, doi:10.3390/e21100951 (2019). IF 2.42
Rastin, P., Matei, B., Cabanes, G., Bennani, Y., Marty, J.M.: A new sparse representation of complex data: application to dynamic clustering of web navigation. Pattern Recognition, 91: 291–307, doi:10.1016/j.patcog.2019.02.020 (2019). IF 3.96
Picchi, L., Cabanes, C., Ricci-Bonot, C., Lorenzi, M. C.: Quantitative matching of clutch size in reciprocating hermaphroditic worms. Current Biology, 28: 1–6, doi:10.1016/j.cub.2018.08.013 (2018). IF 8.85 pdf
Rastin, P., Matei, B., Cabanes, G., Grozavu, N., Bennani, Y.: Impact of Learners’ Quality and Diversity in Collaborative Clustering. Journal of Artificial Intelligence and Soft Computing Research, 9(2): 149–165 doi:10.2478/jaiscr-2018-0030 (2018). IF 1.98
Sublime, J., Matei, B., Cabanes, C., Grozavu, N., Bennani, Y., Cornuéjols, A.: Entropy Based Probabilistic Collaborative Clustering. Pattern Recognition, 72: 144–157, doi:10.1016/j.patcog.2017.07.014 (2017). IF 3.96
Benyettou, A., Bennani, Y., Benyettou, A., Bendahmane, A., Cabanes, G.: Semi-Supervised Multi-Label Classification Through Topological Active Learning. International Journal on Communications Antenna and Propagation (IRECAP), 7(3): 222–232, doi:10.15866/irecap.v7i3.12742 (2017). IF 1.67
Sosa, S., Zhang, P., Cabanes, G.: Social networks dynamics revealed by temporal analysis: an example in a non-human primate (Macaca sylvanus) in “La Forêt des Singes". American Journal of Primatology, 79(6), doi:10.1002/ajp.22662 (2017). IF 2.10
Torres, M., Sierra-Pérez, J., Cabanes, G.: An Optimal Baseline Selection Methodology for Data-Driven Damage Detection and Temperature Compensation in Acousto-Ultrasonics. Smart Materials and Structures, 25(5), doi:10.1088/0964-1726/25/5/055034 (2016). IF 2.50
Sublime, J., Grozavu, N., Cabanes, G., Bennani, Y., Cornuéjols, A.: From Horizontal to Vertical Collaborative Clustering using Generative Topographic Maps. International Journal of Hybrid Intelligent Systems, 12(4): 245–256, doi:10.3233/HIS-160219 (2016). IF 0.41 pdf
Ronai, I., Oldroyd, B. P., Barton, D. A., Cabanes G., Lim J., Vergoz, V.: Anarchy is a molecular signature of worker sterility in the honey bee. Molecular Biology and Evolution, 33 (1): 134-142, doi:10.1093/molbev/msv202 (2016). IF 9.11 pdf
Cabanes, G., van Wilgenburg, E., Beekman, M., Latty, T.: Ants build transportation networks that optimize cost and efficiency at the expense of robustness. Behavioral Ecology, 26 (1): 223-231, doi:10.1093/beheco/aru175 (2015). IF 3.16 pdf
Cabanes, G., Bennani, Y., Destenay, R., Hardy, A.: A new topological clustering algorithm for interval data. Pattern Recognition. 46 (11): 3030-3039, doi:10.1016/j.patcog.2013.03.023, (2013). IF 3.96 pdf
Vergoz, V., Lim, J., Duncan, M., Cabanes, G., Oldroyd, B.P.: Effects of natural mating and carbon dioxide narcosis on biogenic amine receptor gene expression in the ovaries and brain of queen honey bees, Apis mellifera. Insect Molecular Biology. 21 (6): 558–567, doi:10.1111/j.1365-2583.2012.01159.x (2012). IF 2.98 pdf
Cabanes, G., Bennani, Y., Fresneau, D.: Enriched topological learning for cluster detection and visualization. Neural Networks. 32 (1): 186–195, doi:10.1016/j.neunet.2012.02.019 (2012). IF 5.88 pdf
Barbu, S., Cabanes, G., Le Maner-Idrissi, G.: Boys and Girls on the Playground: Sex Differences in Social Development Are Not Stable across Early Childhood. PLoS ONE. 6 (1): e16407, doi:10.1371/journal.pone.0016407 (2011). IF 3.53 pdf
Cabanes, G., Bennani, Y.: Unsupervised topographic learning for spatiotemporal data mining. Advances in Artificial Intelligence. Vol. 2010, Article ID 832542, 12 pages, doi:10.1155/2010/832542 (2010). IF 0.64 pdf
Cabanes, G., Bennani, Y., Fresneau, D.: Mining RFID Behavior Data using Unsupervised Learning. International Journal of Applied Logistics. 1 (1): 28–47, doi:10.4018/jal.2010090203 (2010). IF 0.92 pdf
Galassi, U., Cabanes, G., Fresneau, D.: Modelling Evolving Behaviours in Ant Colonies. Journal of Intelligent Systems. 18(4): 353–376, doi:10.1515/JISYS.2009.18.4.353 (2009). IF 0.56 pdf
Formanek, L., Houdelier, C., Lumineau, S., Bertin, A., Cabanes, G., Richard-Yris, M-A.: Selection of social traits in juvenile Japanese quail affects adults’ behaviour. Applied Animal Behaviour Science. 112(1-2), pp.174–186 (2007). IF 1.63 pdf
Barbu, S., Cabanes, G., Le Maner-Idrissi, G.: Développement social et variabilité inter-sexe : dynamique développementale des différences sexuées entre 2 et 6 ans. In: Développement et variabilités, S Le Sourn-Bissaoui, G Le Maner-Idrissi, V Dardier, E Bonjour, A Lacroix (ed), Presses Universitaires de Rennes, pp.53–66 (2014).
Cabanes, G., Bennani, Y.: Learning the number of clusters in Self Organizing Map. In: Self-Organizing Maps, George K Matsopoulos (ed.), IN-TECH Publisher, pp. 14–28 (2010). Invited. pdf
Qian, X., Cabanes, G., Rastin, P., Grozavu, N.: Incremental Multi-View Clustering Using Barycentric Coordinate Representation. International Joint Conference on Neural Networks (IJCNN '24), pp. 1-8, Yokohama, Japan (2024). DOI: 10.1109/IJCNN60899.2024.10651114
Qian, X., Jin, L., Cabanes, G., Rastin, P., Grozavu, N., Tounsi, S.: Multi-view Clustering Using Barycentric Coordinate Representation. International Joint Conference on Neural Networks (IJCNN '23), pp. 1-8, Gold Coast, Australia (2023).
Kaddouh, M., Cabanes, G., Bennani, Y.: Incorporating neighborhood information during NMF learning. 28th International Conference on Neural Information Processing (ICONIP'21), pp. 591–598, online (2021).
Ben Bouazza, F.E., Bennani, Y., Touzani, A., Cabanes, G.: Subspace guided collaborative clustering based on optimal transport. International Conference on Soft Computing and Pattern Recognition (SoCPaR'20), pp. 113–124, online (2020).
Ben Bouazza, F.E., Bennani, Y., Cabanes, G., Touzani, A.: Collaborative Clustering Through Optimal Transport. International Conference on Artificial Neural Networks (ICANN'20), pp. 873–885, online (2020).
Ben Bouazza, F.E., Bennani, Y., El Hamri, M., Cabanes, G., Matei, B., Touzani, A.: Multi-view Clustering through Optimal Transport. 26th International Conference on Neural Information Processing (ICONIP'19), pp. 1–9, Sydney, Australia (2019).
Rastin, P., Cabanes, G., Verde, R., Bennani, Y., Couronne, T.: Generative Histogram-based Model using unsupervised learning. 26th International Conference on Neural Information Processing (ICONIP'19), pp. 634–646, Sydney, Australia (2019).
Brahmi, I., Cabanes, G., Bennani, Y., Touzani, A.: Deepness Analysis of Learned Factors in Multilayer NMF. 26th International Conference on Neural Information Processing (ICONIP'19), pp. 24–31, Sydney, Australia (2019).
Rastin, P., Cabanes, G., Matei, B., Marty, J.M.: Change Detection in Individual Users' Behavior. 27th International Conference on Artificial Neural Networks (ICANN'18), pp. 501–510, Rhodes, Greece (2018).
Boulbazine, S., Cabanes, G., Matei, B., Bennani, Y.: Online Semi-supervised Growing Neural Gas for Multi-label Data Classification. International Joint Conference on Neural Networks (IJCNN '18), pp. 3364–3371, Rio de Janeiro, Brazil (2018).
Brahmi, I., Cabanes, G., Bennani, Y., Matei, B.: Learning Useful Representations Through a Stacked Self Organizing Maps. International Joint Conference on Neural Networks (IJCNN '18), pp. 900–907, Rio de Janeiro, Brazil (2018).
Cabanes, G., Verde, R., Bennani, Y.: Dynamic topological clustering of distributional data. International Symposium on Mathematical Methods Applied to the Sciences (XXI SIMMAC'18), pp. 51–52, San José, Costa Rica (2018)
Rastin, P., Matei, B., Cabanes, G., El Baghdadi, I.: Signal-Based Autonomous Clustering for Relational Data. International Joint Conference on Neural Networks (IJCNN '17), pp. 4103–4110, Anchorage, Alaska, USA (2017).
Cherki, S., Rastin, P., Cabanes, G., Matei, B.: Improved Sparse Prototyping for Relational K-means. IEEE Symposium on Computational Intelligence and Data Mining (CIDM'16), pp. 1–8, Athens, Greece (2016).
Rastin, P., Zhang, T., Cabanes, G.: A new clustering algorithm for dynamic data. International Conference on Neural Information Processing (ICONIP'16), pp. 175–182, Kyoto, Japan (2016).
Cabanes, G., Bennani, Y., Irpino, A., Verde, R.: A two-level clustering for histogram data. International Workshop on High Dimensional Data Mining (H2DM'16), 4 pages, Naples, Italy (2016).
Grozavu, N., Cabanes, G., Chahdi, H., Rogovschi, N.: Automated Topological Co-Clustering Using Fuzzy Features Partition. Proceeding of the International Joint Conference on Neural Networks (IJCNN’16), pp. 2638–2645, Vancouver, Canada (2016)
Cabanes, G., Bennani, Y., Verde, R., Irpino, A.: A topological clustering method for histogram data. Proceeding of the 5th Workshop on Symbolic Data Analysis, (SDA'15), Orléans, France (2015).
Rastin, P., Cabanes, G., Grozavu, N., Bennani, Y.: Collaborative Clustering: How to Select the Optimal Collaborators? IEEE Symposium on Computational Intelligence and Data Mining (CIDM'15), pp. 787-794, Cape Town, South Africa (2015).
Sierra, J., Torres, M., Cabanes, G., Guemes, A., Mujica, L.E.: Structural Health Monitoring by Means of Strain Field Pattern Recognition on the basis of PCA and Automatic Clustering Techniques Based on SOM. 17th IFAC Symposium on System Identification, pp. 987 - 992, Beijing, China (2015).
Grozavu, N., Rogovschi, N., Cabanes, G., Troya-Galvis, A., Gançarski, P.: VHR Satellite Image Segmentation Based on Topological Unsupervised Learning. Proceeding of the 4th IAPR Conference on Machine Vision Applications (MVA'15), pp. 543 - 546, Tokyo, Japan (2015).
Grozavu, N., Cabanes, G., Bennani, Y.: Diversity Analysis in Collaborative Clustering. Proceeding of the International Joint Conference on Neural Networks (IJCNN’14), pp.1754-1761, doi: 10.1109/IJCNN.2014.6889528, Beijing, China (2014). pdf
Sierra, J., Arredondo, M.A.T, Cabanes, G., Guemes, A., Mujica, L.E., Fritzen, C.-P.: Damage Detection In Metallic Beams From Dynamic Strain Measurements Under Different Load Cases By Using Automatic Clustering And Pattern Recognition Techniques. Proceeding of the 7th European Workshop on Structural Health Monitoring, pp. 1093-1100, Nantes, France (2014). pdf
Arredondo, M.A.T, Sierra, J., Zenuni, E., Cabanes, G., Rodellar, J., Guemes, A., Fritzen, C.-P.: A Pattern Recognition Approach For Damage Detection And Temperature Compensation In Acousto-Ultrasonics. Proceeding of the 7th European Workshop on Structural Health Monitoring, pp. 348-354, Nantes, France (2014). pdf
Cabanes, G., Bennani, Y., Grozavu, N.: Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud. Proceeding of the IEEE International Conference on Data Mining series (ICDM'13), pp. 513 - 520, Dallas, USA (2013). pdf
Cabanes, G., Bennani, Y.: Change detection in data streams through unsupervised learning. Proceeding of the International Joint Conference on Neural Networks (IJCNN’12), pp. 2659-2664, Brisbane, Australia (2012). pdf
Cabanes, G., Bennani, Y., Fresneau, D.: A new simultaneous two-levels bi-clustering algorithm for behavioural data-mining. 18th International Conference on Neural Information Processing (ICONIP'11), pp. 745-752, Shanghai, China (2011). pdf
Cabanes, G., Bennani, Y.: Coupling Clustering and Visualization for Knowledge Discovery from Data. Proceeding of the International Joint Conference on Neural Networks (IJCNN’11), pp. 2127–2134, San Jose, USA (2011). pdf
Cabanes, G., Bennani, Y.: Learning topological constraints in Self-Organizing Map. 17th International Conference on Neural Information Processing (ICONIP'10), pp. 367–374, Sydney, Australia (2010). pdf
Cabanes, G., Bennani, Y.: Extending SOM with Efficient Estimation of the Number of Clusters. Joint Meeting GfKl-CLADAG'10, pp. 233–234, Florence, Italy (2010). Invited. pdf
Cabanes G., Bennani, Y., Dufau-Joël, F.: Mining Customers' Spatio-temporal Behavior Data using Topographic Unsupervised Learning. Proceedings of the International Conference on Machine Learning and Applications (ICMLA'09), pp. 372–377, Miami, USA (2009). pdf
Cabanes, G., Bennani, Y.:Comparing Large Datasets Structures Through Unsupervised Learning. 16th International Conference on Neural Information Processing (ICONIP'09), pp. 546–553, Bangkok, Thailand (2009). Best Student Poster Award. pdf
Cabanes, G., Fresneau, D., Galassi, U., Giordana, A.: A HMM-Based Approach to Modeling Ant Behavior. 4th International Indian Conference on Artificial Intelligence (IICAI'09), pp. 2127–2139, Tumkur, India (2009). Best Paper Award. pdf
Cabanes, G., Fresneau, D., Giordana, A., Galassi, U.: Modeling Ant Activity by means of Structured HMMs. International Symposium on Methodologies for Intelligent Systems (ISMIS'09), pp.341–350, Prague, Czech Republic (2009). pdf
Cabanes, G., Bennani, Y., Chartagnat, C., Fresneau, D.:Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining. The Second International Workshop on RFID Technology (IWRT'08), pp. 63–72, Barcelona, Spain (2008). pdf
Cabanes, G., Bennani, Y.:A Local Density-Based Simultaneous Two-Level Algorithm for Topographic Clustering. Proceeding of the International Joint Conference on Neural Networks (IJCNN’08), pp. 1176–1182, Hong Kong, China (2008). pdf
Cabanes, G., Bennani, Y.: A simultaneous two-level clustering algorithm for automatic model selection. Proceeding of the International Conference on Machine Learning and Applications (ICMLA’07), pp. 316–321, Cincinnati, USA (2007). pdf
Grozavu, N., Cabanes, G., Bennani, Y.: Analyse de la Diversité pour le Clustering Collaboratif. Numéro spécial de la revue RNTI : AFD'14, pp.17-32 (2015).
Baki, K.W., Rastin, P., Cabanes, G., Elbahri, M., Calvo, D., Toussaint, Y.: Clustering multi-vues de documents selon un mécanisme de cross-attention pour la fusion de caractéristiques. 25ème conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC'25), pp. 383-384, Strasbourg, France (2025).
Qian, X., Jin, L., Cabanes, G., Rastin, P., Grozavu, N.: Clustering Multi-vues en utilisant la Représentation des Coordonnées Barycentriques. 24ème conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC'24), pp. 353–360, Dijon, France (2024).
Ben Bouazza, F.E., Bennani, Y., Cabanes, G.: Clustering multi-vues basé sur le transport optimal régularisé. Conférence Internationale Francophone sur la Science des Données (CIFSD'21), pp. 89–100, Marseille, France (2021).
Rastin, P., Matei, B., Cabanes, G.: Apprentissage non-supervisé relationnel dans l'espace des coordonnées barycentriques. 19èmes journées d'Extraction et Gestion des Connaissances (EGC’19), pp. 413–418, Metz, France (2019).
Rastin, P., Matei, B., Cabanes, G.: Détection de changement dans les profils en ligne d'utilisateurs. 19èmes journées d'Extraction et Gestion des Connaissances (EGC’19), pp. 419-424, Metz, France (2019).
Rastin, P., Zhang, T., Cabanes, G.: A new clustering algorithm for dynamic data. Conférence Conjointe Francophone sur la Science des Données (AAFD & SFC'16), 6 pages, Marrakech, Maroc (2016).
Sublime, J., Grozavu, N., Cabanes, G., Bennani, Y., Cornuéjols, A.: Collaborative learning using topographic maps. Conférence Conjointe Francophone sur la Science des Données (AAFD & SFC'16), 6 pages, Marrakech, Maroc (2016).
Rastin, P., Cabanes, G., Grozavu, N., Bennani, Y.: Choix du Collaborateur pour l'Apprentissage Collaboratif. XXII èmes Rencontres de la Société Francophone de Classification (SFC'15), accepted, Nantes, France (2015).
Grozavu, N., Cabanes, G., Bennani, Y.: Impact de la diversité en clustering collaboratif. XXI èmes Rencontres de la Société Francophone de Classification (SFC'14), accepted, Rabat, Maroc (2014).
Cabanes, G., Bennani, Y., Grozavu, N.: Apprentissage non-supervisé pour l’analyse de la dynamique des fraudes bancaires en ligne. XXI èmes Rencontres de la Société Francophone de Classification (SFC'14), accepted, Rabat, Maroc (2014).
Grozavu, N., Cabanes, G., Bennani, Y.: Analyse de la Diversité pour le Clustering Collaboratif. Apprentissage Artificiel et Fouille de Données (AAFD'14), accepted, Paris, France (2014).
Cabanes, G., Bennani, Y.: Un algorithme non supervisé pour la détection de changements dans les flux de données. 12èmes journées d'Extraction et Gestion des Connaissances (EGC’12), pp. 20–31, Bordeaux, France (2012). pdf
Cabanes, G.: Classification à deux niveaux selon le voisinage et la densité. 18èmes rencontres de la Société Francophone de Classification (SFC’11), pp. 107-110, Orléans, France (2011). pdf
Cabanes, G., Bennani, Y.: Apprendre les contraintes topologiques dans les cartes auto-organisatrices. 11èmes journées d'Extraction et Gestion des Connaissances (EGC’11), pp. 137–148, Brest, France (2011). Nominated for Best Paper Award. pdf
Cabanes, G., Bennani, Y.: Visualisation de l’intra et inter structure des groupes en classification non supervisée. 11èmes journées d'Extraction et Gestion des Connaissances (EGC’11), pp. 479–490, Brest, France (2011). pdf
Cabanes, G., Bennani, Y., Dufau-Joël, F.: Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé. 10èmes journées d'Extraction et Gestion des Connaissances (EGC’10), pp. 115–120, Hammamet, Tunisie (2010). pdf
Cabanes, G., Bennani, Y.: Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé. 9èmes journées d'Extraction et Gestion des Connaissances (EGC’09), pp. 451–452, Strasbourg, France (2009). pdf
Cabanes, G., Bennani, Y.: Classification topographique à deux niveaux simultanés à base de modes de densité. Actes de la Conférence francophone sur l'Apprentissage automatique (CAP'08), pp. 53–54, Porquerolle, France (2008). pdf
Cabanes, G., Bennani, Y.: Un algorithme de classification topographique non supervisée à deux niveaux simultanés. 8èmes journées d'Extraction et Gestion des Connaissances (EGC’08), pp. 619–630, Sophia-Antipolis, France (2008). Nominated for Best Paper Award. pdf
Cabanes, G.: Classification non supervisée à deux niveaux guidée par le voisinage et la densité. Université Paris 13, Villetaneuse, France (2010). pdf
Rastin, P., Matei, B., Cabanes, G.: Visualizing changes in the distribution of relational data using dynamic reordering. 61st World Statistics Congress, (ISI'17), Marrakech, Morocco (2017).
Cabanes, G., Bennani, Y.: Extending SOM with Efficient Estimation of the Number of Clusters. International Workshop on Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Beijing, China (2011).
Cabanes, G.: Classification non supervisée à deux niveaux guidée par le voisinage et la densité. Séminaire de statistique appliquée, CNAM, Paris, France (2011).
Beigneux, E., Cabanes, G., Gouat, P.: Mate choice based on chemical communication in the monogamous mound-building mouse Mus spicilegus. Colloque de l'Université Franco-Allemande : Animal communication: mechanisms, consequences and social aspects, Paris, France (2011).
Anotaux, M., Marchal, J., Cabanes, G., Leborgne, R., Châline, N., Gilbert, C., Pasquet, A.: Orb web spiders: a new behavioural model for studies on ageing. Society for Experimental Biology Main Meeting, Glasgow, UK (2011).
Cabanes, G.,Witwinowski, J., Devienne, P., Fresneau, D., :Social Organization of Poneromorph Ant Colonies: New Insights from RFID and Data Mining. XVI Congress of the International Union for the Study of Social Insects (IUSSI'10), Copenhagen, Denmark (2010).
Fresneau, D., Cabanes, G.,Witwinowski, J., Devienne, P.:Social Organisation of Poneromorph Colonies: New Insights from RFID and Data Mining. XIX Simpósio de Mirmecologia, Ouro Preto, MG, Brazil (2009).
Cabanes, G., Giordana, A., Fresneau, D.:Radio Tagging and Data Mining Reveal the Dynamic of Ants Emigration to New Nest Site. 31th International Ethological Conference (IEC'09), Rennes, France (2009).
Barbu, S., Lemasson, A., Le Maner-Idrissi, G., Cabanes, G.:Sex Differences in Social Play: Developmental Trends in Early Childhood. 31th International Ethological Conference (IEC'09), Rennes, France (2009).
Cabanes G., Chartagnat C., Devienne, P., Durand, J.L., Fresneau, D., Bennani, Y.: Connectionist Learning for RFID Data Mining Applied to Ants Spatio-temporal Behaviour. International Workshop Behaviour-Cognition-Welfare, Villetaneuse, France (2008).
Copyright: n° FR 0759765 with international extent n PCT/FR2008/052288.
Software registration: n° IDDN.FR.001.490019.000S.P.2008.000.20000 to the Agency of Software Protection.