Principal component analysis of interval data: a symbolic data analysis approach. - Natale Carlo Lauro; Francesco Palumbo (Comput. Stat., 2000)

Fuzzy PLS Path Modeling: A New Tool For Handling Sensory Data. - Francesco Palumbo; Rosaria Romano; Vincenzo Esposito Vinzi (GfKl, 2007)

Binary data flow visualization on factorial axes. - Alfonso Iodice D'Enza; Francesco Palumbo (Monde des Util. Anal. Données, 2007)

Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data. - Francesco Palumbo; Alfonso Iodice D'Enza (GfKl, 2008)

Exploratory data analysis leading towards the most interesting simple association rules. - Alfonso Iodice D'Enza; Francesco Palumbo; Michael Greenacre (Comput. Stat. Data Anal., 2008)

Interval Archetypes: A New Tool for Interval Data Analysis. - Maria Rosaria D'Esposito; Francesco Palumbo; Giancarlo Ragozini (Stat. Anal. Data Min., 2012)

Iterative factor clustering of binary data. - Alfonso Iodice D'Enza; Francesco Palumbo (Comput. Stat., 2013)

Dynamic Data Analysis of Evolving Association Patterns. - Alfonso Iodice D'Enza; Francesco Palumbo (Classification and Data Mining, 2013)

Factor PD-Clustering. - Cristina Tortora; Mireille Gettler-Summa; Francesco Palumbo (Algorithms from and for Nature and Life, 2013)

Introducing Interactive Evolutionary Computation in Data Clustering. - Anna Russo; Onofrio Gigliotta; Francesco Palumbo; Orazio Miglino (WIVACE, 2014)

Handling Uncertainty in Structural Equation Modeling. - Rosaria Romano; Francesco Palumbo (SMPS, 2016)

Factor probabilistic distance clustering (FPDC): a new clustering method. - Cristina Tortora; Mireille Gettler-Summa; Marina Marino; Francesco Palumbo (Adv. Data Anal. Classif., 2016)

Archetypal analysis for data-driven prototype identification. - Giancarlo Ragozini; Francesco Palumbo; Maria Rosaria D'Esposito (Stat. Anal. Data Min., 2017)

ALEAS: a tutoring system for teaching and assessing statistical knowledge. - Cristina Davino; Rosa Fabbricatore; Daniela Pacella; Domenico Vistocco; Francesco Palumbo (PSYCHOBIT, 2020)

A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions. - Cristina Tortora; Paul D. McNicholas; Francesco Palumbo (SN Comput. Sci., 2020)

An IT platform for the management of a Power Cloud community leveraging IoT, data ingestion, data analytics and blockchain notarization. - Stefano Mendicino; Daniele Menniti; Francesco Palumbo; Anna Pinnarelli; Nicola Sorrentino; Livio Viggiano; Pasquale Vizza (ISGT-Europe, 2021)

A latent class approach for advising in learning statistics: implementation in the ALEAS system. - Rosa Fabbricatore; Anna Parola; Giuliana Pepicelli; Francesco Palumbo (teleXbe, 2021)

Partial possibilistic regression path modeling: handling uncertainty in path modeling. - Rosaria Romano; Francesco Palumbo (Comput. Stat., 2021)

Clustering mixed-type data using a probabilistic distance algorithm. - Cristina Tortora; Francesco Palumbo (Appl. Soft Comput., 2022)

FPDclustering: a comprehensive R package for probabilistic distance clustering based methods. - Cristina Tortora; Francesco Palumbo (Comput. Stat., 2025)