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Observability and Controllability of Wireless Software Components
Romeo, F. / Barbier, F. / Bruel, J.-M. | British Library Conference Proceedings | 2007 -
Probabilistic Hill climbing algorithms : properties and applications
Romeo, F. / Sangiovanni-Vincentelli, A. | TIBKAT | 1984 -
Whole-part based composition approach: a case study
Belloir, N. / Romeo, F. / Bruel, J.-M. | IEEE | 2004 -
A parallel simulated annealing algorithm for the placement of macro-cells
Casotto, A. / Romeo, F. / Sangiovanni-Vincentelli, A. | Tema Archive | 1986 -
Simulation of Verdicts in Civil Liability
Romeo, F. / Barbarossa, F. / International Neural Network Society | British Library Conference Proceedings | 1994 -
Simulation of Human Hedonic Choices
Romeo, F. / Giaccio, M. / International Neural Network Society | British Library Conference Proceedings | 1994 -
Simulation of Human Subjective Judgement with Neural Networks: The Computer Plays the Classifier, the Sommelier and the Judge
Giaccio, M. / Romeo, F. / Italian Cultural Institute of Munich| University of Munich et al. | British Library Conference Proceedings | 1993 -
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
Free accessSirunyan, A. M. / Tumasyan, A. / Adam, W. et al. | Springer Verlag | 2020 -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Free accessSirunyan A. M. / Tumasyan A. / Adam W. et al. | BASE | 2020 -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Free accessSirunyan, A. M. / Tumasyan, A. / Adam, W. et al. | BASE | 2020 -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Free accessSirunyan A. M. / Tumasyan A. / Adam W. et al. | BASE | 2020 -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Free accessSirunyan A. M. / Tumasyan A. / Adam W. et al. | BASE | 2020 -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Free accessSirunyan A. M. / Tumasyan A. / Adam W. et al. | BASE | 2020 -
Search for resonant tt production in proton-proton collisions at √s=13 TeV
Free accessCMS Collaboration / Sirunyan, A. M. / Tumasyan, A. et al. | BASE | 2019 -
A search for new physics in central exclusive production using the missing mass technique with the CMS detector and the CMS-TOTEM precision proton spectrometer
Free accessCMS and TOTEM Collaborations / Tumasyan, A. / Adam, W. et al. | BASE | 2023