Revealing strengths and weaknesses of methods for gene network inference D Marbach, RJ Prill, T Schaffter, C Mattiussi, D Floreano, G Stolovitzky Proceedings of the National Academy of Sciences 107 (14), 6286-6291, 2010 | 881 | 2010 |
Neuroevolution: from architectures to learning D Floreano, P Dürr, C Mattiussi Evolutionary Intelligence 1 (1), 47-62, 2008 | 853 | 2008 |
Bio-inspired artificial intelligence: theories, methods, and technologies D Floreano, C Mattiussi The MIT Press, 2008 | 844 | 2008 |
Generating realistic in silico gene networks for performance assessment of reverse engineering methods D Marbach, T Schaffter, C Mattiussi, D Floreano Journal of Computational Biology 16 (2), 229-239, 2009 | 533 | 2009 |
An analysis of finite volume, finite element, and finite difference methods using some concepts from algebraic topology C Mattiussi Journal of Computational Physics 133 (2), 289-309, 1997 | 206 | 1997 |
Evolution of spiking neural controllers for autonomous vision-based robots D Floreano, C Mattiussi Evolutionary Robotics IV. From Intelligent Robotics to Artificial Life, 38-61, 2001 | 205 | 2001 |
Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios A Soltoggio, JA Bullinaria, C Mattiussi, P Dürr, D Floreano Proceedings of the 11th International Conference on Artificial Life (Alife …, 2008 | 175 | 2008 |
Analog genetic encoding for the evolution of circuits and networks C Mattiussi, D Floreano IEEE Transactions on evolutionary computation 11 (5), 596-607, 2007 | 173 | 2007 |
Sleep and wake classification with ECG and respiratory effort signals W Karlen, C Mattiussi, D Floreano IEEE Transactions on Biomedical Circuits and Systems 3 (2), 71-78, 2009 | 166 | 2009 |
The finite volume, finite element, and finite difference methods as numerical methods for physical field problems C Mattiussi Advances in Imaging and electron physics 113, 1-146, 2000 | 128 | 2000 |
Manuale sulle reti neurali. Seconda edizione D Floreano, C Mattiussi Il mulino, 2002 | 123 | 2002 |
Evolving neuromodulatory topologies for reinforcement learning-like problems A Soltoggio, P Durr, C Mattiussi, D Floreano Proceedings of the 2007 IEEE Congress on Evolutionary Computation, 2007. CEC …, 2007 | 98 | 2007 |
Neuroevolution with analog genetic encoding P Dürr, C Mattiussi, D Floreano Proceedings of the 9th Conference on Parallel Problem Solving from Nature …, 2006 | 74 | 2006 |
Measures of diversity for populations and distances between individuals with highly reorganizable genomes C Mattiussi, M Waibel, D Floreano Evolutionary Computation 12 (4), 495-515, 2004 | 74 | 2004 |
Evolution of spiking neural circuits in autonomous mobile robots D Floreano, Y Epars, JC Zufferey, C Mattiussi International Journal of Intelligent Systems 21 (9), 1005-1024, 2006 | 59 | 2006 |
Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals W Karlen, C Mattiussi, D Floreano Proceedings of the 30th Annual International Conference of the IEEE on …, 2008 | 55 | 2008 |
Replaying the evolutionary tape: Biomimetic reverse engineering of gene networks D Marbach, C Mattiussi, D Floreano Annals of the New York Academy of Sciences 1158 (1), 234-245, 2009 | 49 | 2009 |
A morphogenetic evolutionary system: Phylogenesis of the poetic circuit D Roggen, D Floreano, C Mattiussi Proceedings of the 5th International Conference on Evolvable Systems (ICES …, 2003 | 45 | 2003 |
Combining Multiple Results of a Reverse Engineering Algorithm: Application to the DREAM Five Gene Network Challenge D Marbach, C Mattiussi, D Floreano Annals of the New York Academy of Sciences 1158, 102-113, 2009 | 44 | 2009 |
Evolutionary synthesis of analog networks C Mattiussi PhD Thesis, EPFL, Lausanne, Switzerland, 2005 | 41 | 2005 |