The Deep Visual Learning research group consistently publishes in the most prestigious venues in artificial intelligence, including CVPR, ICCV, ECCV, NeurIPS, ICLR and AAAI, as well as top journals such as IEEE TPAMI and IJCV.

  1. Journal
    E. Ricci; R. Perfetti,
    Recurrent Correlation Associative Memories: A Feature Space Perspective,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS»,
    vol. 19,
    2008
    , pp. 333-
    345
  2. E. Ricci; R. Perfetti,
    Large Margin Methods for Structured Output Prediction.,
    Computational Intelligence Paradigms,
    Springer-Verlag,
    2008
    , pp. 109-
    132
  3. N. Cristianini; E. Ricci,
    Support Vector Machines,
    Encyclopedia of Algorithms,
    Springer-Verlag,
    2008
    , pp. 928-
    932
  4. Journal
    E. Ricci; R.Perfetti,
    Retinal blood vessel segmentation using line operators and support vector classification.,
    in «IEEE TRANSACTIONS ON MEDICAL IMAGING»,
    vol. 26,
    n. 10,
    2007
    , pp. 1357-
    1365
  5. E. Ricci; T. De Bie; N. Cristianini,
    Discriminative sequence labeling by Z-score optimization,
    2007
    , pp. 274-
    285
  6. Journal
    R. Perfetti; E. Ricci; D. Casali; G. Costantini,
    Cellular neural network with virtual template expansion for Retinal Vessel Segmentation,
    in «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS»,
    vol. 54,
    n. 2,
    2007
    , pp. 141-
    145
  7. E. Ricci; T. De Bie; N. Cristianini,
    Learning to align: a statistical approach,
    Advances in Intelligent Data Analysis VII,
    Springer-Verlag,
    vol. 4723/2007,
    2007
    , pp. 25-
    36
  8. Journal
    R. Perfetti; E. Ricci,
    Analog neural network for support vector machine learning,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS»,
    vol. 17,
    n. 4,
    2006
    , pp. 1085-
    1091
  9. Journal
    E. Ricci; R. Perfetti,
    Improved pruning strategy for radial basis function networks with dynamic decay adjustment,
    in «NEUROCOMPUTING»,
    vol. 69,
    n. 13-15,
    2006
    , pp. 1728-
    1732
  10. Journal
    R. Perfetti; E. Ricci,
    Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment,
    in «NEUROCOMPUTING»,
    vol. 69,
    n. 16-18,
    2006
    , pp. 2446-
    2450
  11. Journal
    E. Ricci; L. Rugini; R. Perfetti,
    SVM based CDMA receiver with incremental active learning,
    in «NEUROCOMPUTING»,
    vol. 69,
    n. 13-15,
    2006
    , pp. 1691-
    1696
  12. Journal
    D. Casali; G. Costantini; R. Perfetti; E. Ricci,
    Associative memory design using support vector machines,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS»,
    vol. 17,
    n. 5,
    2006
    , pp. 1165-
    1174
  13. M. Ciappa; M. Stangoni; W. Fichtner; A. Scorzoni; E. Ricci,
    On the Use of Neural Networks to Solve the Reverse Modelling Problem for the Quantification of Dopant Profiles Extracted by Scanning Probe Microscopy Techniques,
    2004
    , pp. 1703-
    1708