1. Ricci, Elisa; Tobia, Francesco; G., Zen,
    Learning Pedestrian Trajectories with Kernels,
    Proc. of International Conference on Pattern Recognition - ICPR,
    IEEE,
    2010
    , pp. 149-
    152
  2. S. Duffner; J.M. Odobez; E. Ricci,
    Dynamic Partitioned Sampling For Tracking With Discriminative Features,
    2009
  3. E. Ricci; J.M Odobez,
    Learning Large Margin Likelihoods for Realtime Head Pose Tracking,
    Image Processing (ICIP), 2009 16th IEEE International Conference on,
    2009
    , pp. 2565-
    2568
  4. E. Ricci; T. De Bie; N. Cristianini,
    Magic Moments for Structured Output Prediction,
    in «JOURNAL OF MACHINE LEARNING RESEARCH»,
    vol. 9,
    2008
    , pp. 2803-
    2846
  5. E. Ricci; R. Perfetti,
    Recurrent Correlation Associative Memories: A Feature Space Perspective,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS»,
    vol. 19,
    2008
    , pp. 333-
    345
  6. E. Ricci; R. Perfetti,
    Large Margin Methods for Structured Output Prediction.,
    Computational Intelligence Paradigms,
    Springer-Verlag,
    2008
    , pp. 109-
    132
  7. N. Cristianini; E. Ricci,
    Support Vector Machines,
    Encyclopedia of Algorithms,
    Springer-Verlag,
    2008
    , pp. 928-
    932
  8. 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
  9. E. Ricci; T. De Bie; N. Cristianini,
    Discriminative sequence labeling by Z-score optimization,
    2007
    , pp. 274-
    285
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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