Zhou, Kuang, Arnaud Martin, and Quan Pan. "A belief combination rule for a large number of sources." Journal of Advances in Information Fusion 13, no. 2 (2018).

Zhou, Kuang, Arnaud Martin, and Quan Pan. "Evidence combination for a large number of sources." In 20th International Conference on Information Fusion (Fusion). Xi'an, China , 2017.

Abbas, Nassim, Youcef Chibani, Arnaud Martin, and Florentin Smarandache. "The effective use of the DSmT for multi-class classification." In Advances and Applications of DSmT for Information Fusion. Vol. IV: Collected Works., 2015.

Martin, Arnaud. Modélisation et gestion du conflit dans la théorie des fonctions de croyance. Université de Bretagne Occidentale, 2009.

Martin, Arnaud, and Christophe Osswald. "Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification." In 3rd International Conference on Information and Communication Technologies: From Theory to Applications. Damascus, Syria, 2008.

Martin, Arnaud. "Implementing general belief function framework with a practical codification for low complexity." In Advances and Applications of DSmT for Information Fusion., 2008.

Martin, Arnaud, and Christophe Osswald. "Une nouvelle règle de combinaison répartissant le conflit - Applications en imagerie Sonar et classification de cibles Radar." Traitement du Signal, Lavoisier 24, no. 2 (2007): 71-82.

Martin, Arnaud, and Christophe Osswald. "Une nouvelle règle de combinaison répartissant le conflit - Applications en imagerie Sonar et classification de cibles Radar." Revue Traitement du Signal 24, no. 2 (2007): 71-82.

Martin, Arnaud, and Christophe Osswald. "Generalized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification." In Advances and Applications of DSmT for Information Fusion., 2006.

Martin, Arnaud, and Christophe Osswald. "Human Expert Fusion for Image Classification." Information & Security: An International Journal 20 (2006): 122-143.

Osswald, Christophe, and Arnaud Martin. "Understanding the large family of Dempster-Shafer theory's fusion operators - a decision-based measure." In 9th International Conference on Information Fusion. Florence, Italy, 2006.