F. Aarts, F. Vaandrager, I. Learning, and . Automata, Learning I/O Automata, CON- CUR 2010 -Concurrency Theory Paul Gastin and Franois Laroussinie, pp.71-85, 2010.
DOI : 10.1007/978-3-642-15375-4_6

R. Alur, P. Cerny, P. Madhusudan, and W. Nam, Synthesis of interface specifications for Java classes, Proc. POPL '05, 2005.

D. Angluin, Learning regular sets from queries and counterexamples, Information and Computation, vol.75, issue.2, pp.87-106, 1987.
DOI : 10.1016/0890-5401(87)90052-6

G. Blair, A. Bennaceur, N. Georgantas, and P. Grace, Valérie Issarny, Vatsala Nundloll, and Massimo Paolucci, 'The Role of Ontologies in Emergent Middleware: Supporting Interoperability in Complex Distributed Systems, Middleware 2011 -12th International Middleware Conference, 2011.

D. A. Cohn, Z. Ghahramani, and M. I. Jordan, Active learning with statistical models, J. Artif. Intell. Res. (JAIR), vol.4, pp.129-145, 1996.

J. Esparza, M. Leucker, and M. Schlund, Learning Workflow Petri Nets, pp.205-228, 2011.
DOI : 10.1007/978-3-642-13675-7_13
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1752

O. Grinchtein, B. Jonsson, and P. Pettersson, Inference of Event-Recording Automata Using Timed Decision Trees, Proc. CONCUR 2006, 17 th Int. Conf. on Concurrency Theory, pp.435-449, 2006.
DOI : 10.1007/11817949_29

A. Heß and N. Kushmerick, Learning to attach semantic metadata to web services, International Semantic Web Conference, pp.258-273, 2003.

F. Howar, B. Jonsson, M. Merten, B. Steffen, and S. Cassel, On handling data in automata learning -considerations from the connect perspective, ISoLA, issue.2, pp.221-235, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00647734

F. Howar, B. Steffen, B. Jonsson, and S. Cassel, Inferring canonical register automata', in VMCAI, pp.251-266, 2012.

F. Howar, B. Steffen, and M. Merten, Automata learning with automated alphabet abstraction refinement', in VMCAI, pp.263-277, 2011.

H. Hungar, T. Margaria, and B. Steffen, Test-based model generation for legacy systems, Test Conference Proceedings. ITC 2003. International, pp.971-980, 2003.
DOI : 10.1109/test.2003.1271205
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.7767

V. Issarny, B. Steffen, B. Jonsson, G. Blair, P. Grace et al., CONNECT Challenges: Towards Emergent Connectors for Eternal Networked Systems, 2009 14th IEEE International Conference on Engineering of Complex Computer Systems, 2009.
DOI : 10.1109/ICECCS.2009.44
URL : https://hal.archives-ouvertes.fr/inria-00392809

T. Joachims, T. Hofmann, Y. Yue, and C. Yu, Predicting structured objects with support vector machines, Communications of the ACM, vol.52, issue.11, pp.97-104, 2009.
DOI : 10.1145/1592761.1592783

I. Katakis, G. Meditskos, G. Tsoumakas, N. Bassiliades, and I. P. Vlahavas, On the combination of textual and semantic descriptions for automated semantic web service classification' , in AIAI, pp.95-104, 2009.

D. L. Martin, M. H. Burstein, D. V. Mcdermott, S. A. Mcilraith, M. Paolucci et al., Bringing semantics to web services with OWL-S', in World Wide Web, pp.243-277, 2007.

M. Merten and B. Steffen, Falk Howar, and Tiziana Margaria, 'Next generation learnlib, TACAS, pp.220-223, 2011.
DOI : 10.1007/978-3-642-19835-9_18

A. Moschitti, Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees, ECML, pp.318-329, 2006.
DOI : 10.1007/11871842_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.4029

A. Moschitti, Kernel methods, syntax and semantics for relational text categorization, Proceeding of the 17th ACM conference on Information and knowledge mining, CIKM '08, 2008.
DOI : 10.1145/1458082.1458118
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.451.9509

A. Moschitti, Kernel-Based Machines for Abstract and Easy Modeling of Automatic Learning, 11th International School on Formal Methods for the Design of Computer, Communication and Software Systems, 2011.
DOI : 10.1007/978-3-642-21455-4_14

A. Moschitti and R. Basili, Complex Linguistic Features for Text Classification: A Comprehensive Study, Proceedings of the 26th European Conference on Information Retrieval Research, pp.181-196, 2004.
DOI : 10.1007/978-3-540-24752-4_14

H. Raffelt, B. Steffen, T. Berg, and T. Margaria, LearnLib: a framework for extrapolating behavioral models, International Journal on Software Tools for Technology Transfer, vol.15, issue.4, pp.393-407, 2009.
DOI : 10.1007/s10009-009-0111-8
URL : https://hal.archives-ouvertes.fr/inria-00459959

G. Salton, A. Wong, and C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, 1974.
DOI : 10.1145/361219.361220

R. W. Selby and A. A. Porter, Learning from examples: generation and evaluation of decision trees for software resource analysis', Software Engineering, IEEE Transactions on, vol.14, issue.12, 1988.

P. Stone and M. Veloso, Multiagent systems: A survey from a machine learning perspective, Autonomous Robots, vol.8, 2000.