According to our database1, Matteo Gagliolo authored at least 19 papers between 2002 and 2014.
Legend:Book In proceedings Article PhD thesis Other
Politics Matters: Dynamics of Inter-organizational Networks among Immigrant Associations.
Proceedings of the Complex Networks V, 2014
Task partitioning in a robot swarm: a study on the effect of communication.
Swarm Intelligence, 2013
Improving wet clutch engagement with reinforcement learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Algorithm portfolio selection as a bandit problem with unbounded losses.
Ann. Math. Artif. Intell., 2011
Algorithm Selection as a Bandit Problem with Unbounded Losses.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Mixed-Effects Modeling of Optimisation Algorithm Performance.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009
Algorithm Selection as a Bandit Problem with Unbounded Losses
Towards Distributed Algorithm Portfolios.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008
Training Recurrent Networks by Evolino.
Neural Computation, 2007
Learning Restart Strategies.
Proceedings of the IJCAI 2007, 2007
Learning dynamic algorithm portfolios.
Ann. Math. Artif. Intell., 2006
Dynamic Algorithm Portfolios.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006
Evolino for recurrent support vector machines.
Proceedings of the ESANN 2006, 2006
Impact of Censored Sampling on the Performance of Restart Strategies.
Proceedings of the Principles and Practice of Constraint Programming, 2006
Evolino for recurrent support vector machines
A Neural Network Model for Inter-problem Adaptive Online Time Allocation.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Adaptive Online Time Allocation to Search Algorithms.
Proceedings of the Machine Learning: ECML 2004, 2004
MDL Based Model Selection for Relevance Vector Regression.
Proceedings of the Artificial Neural Networks, 2002