1. N. D'Elia,
    Der Vergangenheit abschwören? Il peso del passato nazista e il problema della continuità nella storia tedesca. La riflessione di Rosario Romeo,
    in «QUELLEN UND FORSCHUNGEN AUS ITALIENISCHEN ARCHIVEN UND BIBLIOTHEKEN»,
    vol. 90,
    to be published
  2. Jonathan F Davies,
    Building Emergence frm the Bottom_Up in Synthetic Biology,
    in «PHILOSOPHY & TECHNOLOGY»,
    vol. 24,
    to be published
  3. C. Alexandrou; J. O. Daldrop; M. D. Brida; M. Gravina; L. Scorzato; C. Urbach and M. Wagner,
    Lattice investigation of the scalar mesons a0(980) and κ using four-quark operators,
    in «JOURNAL OF HIGH ENERGY PHYSICS»,
    to be published
  4. Poy S.,
    Il dibattito pubblico su una politica controversa: i salari differenziati su base territoriale in Italia,
    in «RIVISTA ITALIANA DI POLITICHE PUBBLICHE»,
    to be published
  5. Rota Bulo, Samuel; Biggio, Battista; Pillai, Ignazio; Pelillo, Marcello; Roli, Fabio,
    Randomized Prediction Games for Adversarial Machine Learning,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS»,
    to be published
    , pp. 1 -
    13
  6. Dong, Xiaowen; Jahani, Eaman; Morales, Alfredo J.; Bozkaya, Burcin; Lepri, Bruno; Pentland, Alex,
    Purchase patterns, socioeconomic status, and political inclination,
    in «THE WORLD BANK ECONOMIC REVIEW»,
    to be published
  7. Raehme, Boris,
    Digital Religion, the Supermarket, and the Commons,
    in «SOCIÉTÉS»,
    to be published
  8. S. Ottaviano, F. De Pellegrini, Stefano Buonaccorsi, Piet Van Mieghem,
    Heterogeneous sis model for directed networks and optimal curing policy,
    in «JOURNAL OF COMPLEX NETWORKS»,
    to be published
  9. Acerbi, Fabio; Paternoster, Giovanni; Gola, Alberto; Zorzi, Nicola; Piemonte, Claudio,
    in «NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT»,
    to be published
  10. Lea, Canales; Strapparava, Carlo; Boldrini, Ester; Martinez-Barco, Patricio,
    Intensional Learning to Efficiently Build up Automatically Annotated Emotion Corpora,
    in «IEEE TRANSACTIONS ON AFFECTIVE COMPUTING»,
    to be published
    , pp. 1 -
    14

Pages