Biclustering of Expression Microarray Data Using Affinity Propagation. - Alessandro Farinelli; Matteo Denitto; Manuele Bicego (PRIB, 2011)

A Binary Factor Graph Model for Biclustering. - Matteo Denitto; Alessandro Farinelli; Giuditta Franco; Manuele Bicego (S+SSPR, 2014)

Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm. - Matteo Denitto; Alessandro Farinelli; Manuele Bicego (IJCAI, 2015)

Multiple Structure Recovery via Probabilistic Biclustering. - Matteo Denitto; Luca Magri; Alessandro Farinelli; Andrea Fusiello; Manuele Bicego (S+SSPR, 2016)

A Quantum Annealing Approach to Biclustering. - Lorenzo Bottarelli; Manuele Bicego; Matteo Denitto; Alessandra Di Pierro; Alessandro Farinelli (TPNC, 2016)

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Domenico Bloisi; Jason J. Blum; Matteo Denitto; Alessandro Farinelli (AIRO@AI*IA, 2017)

Dominant Set Biclustering. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Marcello Pelillo (EMMCVPR, 2017)

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. - Matteo Denitto; Simone Melzi; Manuele Bicego; Umberto Castellani; Alessandro Farinelli; Mário A. T. Figueiredo; Yanir Kleiman; Maks Ovsjanikov (ICCV, 2017)

Biclustering of time series data using factor graphs. - Matteo Denitto; Alessandro Farinelli; Manuele Bicego (SAC, 2017)

Spike and slab biclustering. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Mário A. T. Figueiredo (Pattern Recognit., 2017)

A biclustering approach based on factor graphs and the max-sum algorithm. - Matteo Denitto; Alessandro Farinelli; Mário A. T. Figueiredo; Manuele Bicego (Pattern Recognit., 2017)

Unsupervised activity recognition for autonomous water drones. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Jason Blum; Matteo Denitto; Alessandro Farinelli (SAC, 2018)

Biclustering with a quantum annealer. - Lorenzo Bottarelli; Manuele Bicego; Matteo Denitto; Alessandra Di Pierro; Alessandro Farinelli; Riccardo Mengoni (Soft Comput., 2018)

Biclustering with dominant sets. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Sebastiano Vascon; Marcello Pelillo (Pattern Recognit., 2020)

Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. - Geri Skenderi; Christian Joppi; Matteo Denitto; Marco Cristani (CoRR, 2021)

The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. - Geri Skenderi; Christian Joppi; Matteo Denitto; Berniero Scarpa; Marco Cristani (CVPR Workshops, 2022)

On the Use of Learning-Based Forecasting Methods for Ameliorating Fashion Business Processes: A Position Paper. - Geri Skenderi; Christian Joppi; Matteo Denitto; Marco Cristani (ICPR Workshops (2), 2022)

Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. - Geri Skenderi; Luigi Capogrosso; Andrea Toaiari; Matteo Denitto; Franco Fummi; Simone Melzi; Marco Cristani (CoRR, 2023)