Fuzzy Inference System to Analyze Ordinal Variables - The Case of Evaluating Teaching Activity. - Michele Lalla; Davide Ferrari 001; Tommaso Pirotti (IJCCI (FCTA), 2014)

Discovering the Topics of a Data Source: a Statistical Approach. - Sonia Bergamaschi; Davide Ferrari 001; Francesco Guerra 001; Giovanni Simonini (SDSW@ISWC, 2014)

Response improvement in complex experiments by co-information composite likelihood optimization. - Davide Ferrari 001; Matteo Borrotti; Davide De March (Stat. Comput., 2014)

Robust heart rate variability analysis by generalized entropy minimization. - Davide La Vecchia; Lorenzo Camponovo; Davide Ferrari 001 (Comput. Stat. Data Anal., 2015)

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications. - Guoqi Q. Qian; Yuehua Wu; Davide Ferrari 001; Puxue Qiao; Frédéric Hollande (Comput. Intell. Neurosci., 2016)

Sparse and robust normal and t- portfolios by penalized Lq-likelihood minimization. - Margherita Giuzio; Davide Ferrari 001; Sandra Paterlini (Eur. J. Oper. Res., 2016)

Providing Insight into Data Source Topics. - Sonia Bergamaschi; Davide Ferrari 001; Francesco Guerra 001; Giovanni Simonini; Yannis Velegrakis (J. Data Semant., 2016)

Reliable inference for complex models by discriminative composite likelihood estimation. - Davide Ferrari 001; Chao Zheng (J. Multivar. Anal., 2016)

Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association. - Zhendong Huang; Davide Ferrari 001; Guoqi Q. Qian (Comput. Stat. Data Anal., 2017)

Robust Hemodynamic Response Function Estimation From fNIRS Signals. - Abd-Krim Seghouane; Davide Ferrari 001 (IEEE Trans. Signal Process., 2019)

Smoothed semicovariance estimation for portfolio selection. - Davide Ferrari 001; Sandra Paterlini; Andrea Rigamonti; Alex Weissensteiner (Ann. Oper. Res., 2026)