Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. - Emiliano Torre; David Picado-Muiño; Michael Denker; Christian Borgelt; Sonja Grün (Frontiers Comput. Neurosci., 2013)

Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. - Alper Yegenoglu; Pietro Quaglio; Emiliano Torre; Sonja Grün; Dominik Endres (ICCS, 2016)

ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains. - Emiliano Torre; Carlos Canova; Michael Denker; George L. Gerstein; Moritz Helias; Sonja Grün (PLoS Comput. Biol., 2016)

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. - Pietro Quaglio; Alper Yegenoglu; Emiliano Torre; Dominik Endres; Sonja Grün (Frontiers Comput. Neurosci., 2017)

Methods for identification of spike patterns in massively parallel spike trains. - Pietro Quaglio; Vahid Rostami; Emiliano Torre; Sonja Grün (Biol. Cybern., 2018)

3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents. - Alessandra Stella; Pietro Quaglio; Emiliano Torre; Sonja Grün (Biosyst., 2019)

Data-driven polynomial chaos expansion for machine learning regression. - Emiliano Torre; Stefano Marelli; Paul Embrechts; Bruno Sudret (J. Comput. Phys., 2019)