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  1. Barlacchi, Gianni; Lepri, Bruno; Moschitti, Alessandro,
    Land Use Classification with Point of Interests and Structural Patterns,
    in «IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING»,
    2020
  2. Chicco, Davide; Jurman, Giuseppe,
    The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,
    in «BMC GENOMICS»,
    vol. 21,
    n. 1,
    2020
    , pp. 6 -
  3. Notarangelo, Michela; Ferrara, Deborah; Potrich, Cristina; Lunelli, Lorenzo; Vanzetti, Lia Emanuela; Provenzani, Alessandro; Basso, Manuela; Quattrone, Alessandro; D’Agostino, Vito G.,
    Rapid nickel-based isolation of extracellular vesicles from different biological fluids,
    in «BIO-PROTOCOL»,
    vol. 10,
    n. 3,
    2020
  4. Rita Barricelli, Barbara; Casiraghi, Elena; Lecca, Michela; Plutino, Alice; Rizzi, Alessandro,
    A cockpit of multiple measures for assessing film restoration quality,
    in «PATTERN RECOGNITION LETTERS»,
    vol. 131,
    2020
    , pp. 178 -
    184
  5. Xompero, Alessio; Lanz, Oswald; Cavallaro, Andrea,
    A spatio-temporal multi-scale binary descriptor,
    in «IEEE TRANSACTIONS ON IMAGE PROCESSING»,
    2020
    , pp. 1 -
    14
  6. Wang, Wei; Alameda-Pineda, Xavier; Xu, Dan; Ricci, Elisa; Sebe, Nicu,
    Learning How to Smile: Expression Video Generation with Conditional Adversarial Recurrent Nets,
    in «IEEE TRANSACTIONS ON MULTIMEDIA»,
    2020
    , pp. 1 -
    1
  7. Farella, Elisabetta; Ferron, Michela; Giovanelli, Davide; Leonardi, Chiara; Marconi, Annapaola; Massa, Paolo; Murphy, Amy L.; Nori, Michele; Pistore, Marco; Schiavo, Gianluca,
    CLIMB: A Pervasive Gameful Platform Promoting Child Independent Mobility,
    in «IEEE PERVASIVE COMPUTING»,
    2020
    , pp. 32 -
    42
  8. Ding, Damu; Savi, Marco; Antichi, Gianni; Siracusa, Domenico,
    An Incrementally-deployable P4-enabled Architecture for Network-wide Heavy-hitter Detection,
    in «IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT»,
    2020
  9. Iannacci, J.,
    RF-MEMS for 5G applications: a reconfigurable 8-bit power attenuator working up to 110 GHz. Part 1: design concept, technology and working principles,
    in «MICROSYSTEM TECHNOLOGIES»,
    vol. 26,
    n. 3,
    2020
    , pp. 675 -
    687
  10. Iannacci, J.,
    RF MEMS for 5G Applications – A Reconfigurable 8 Bit Power Attenuator working up to 110 GHz. Part 2 – Experimental Characterisation of the RF Behaviour,
    in «MICROSYSTEM TECHNOLOGIES»,
    vol. 26,
    n. 3,
    2020
    , pp. 689 -
    700

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