Matteo Denitto

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 17

Top Topics

Biclustering Algorithms

Gene Expression

Supervised Learning

Top Venues

Pattern Recognit.

Publications

Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi, Marco Cristani
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. CoRR (2023)
Geri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. CVPR Workshops (2022)
Geri Skenderi, Christian Joppi, Matteo Denitto, Berniero Scarpa, Marco Cristani
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. CoRR (2022)
Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper. CoRR (2022)
Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani
On the Use of Learning-Based Forecasting Methods for Ameliorating Fashion Business Processes: A Position Paper. ICPR Workshops (2) (2022)
Geri Skenderi, Christian Joppi, Matteo Denitto, Marco Cristani
Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. CoRR (2021)
Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Sebastiano Vascon, Marcello Pelillo
Biclustering with dominant sets. Pattern Recognit. 104 (2020)
Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Jason Blum, Matteo Denitto, Alessandro Farinelli
Unsupervised activity recognition for autonomous water drones. SAC (2018)
Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli, Riccardo Mengoni
Biclustering with a quantum annealer. Soft Comput. 22 (18) (2018)
Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Domenico Bloisi, Jason J. Blum, Matteo Denitto, Alessandro Farinelli
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. AIRO@AI*IA (2017)
Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mário A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. ICCV (2017)
Matteo Denitto, Alessandro Farinelli, Manuele Bicego
Biclustering of time series data using factor graphs. SAC (2017)
Matteo Denitto, Alessandro Farinelli, Mário A. T. Figueiredo, Manuele Bicego
A biclustering approach based on factor graphs and the max-sum algorithm. Pattern Recognit. 62 (2017)
Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Mário A. T. Figueiredo
Spike and slab biclustering. Pattern Recognit. 72 (2017)
Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo
Dominant Set Biclustering. EMMCVPR (2017)
Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego
Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR (2016)
Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli
A Quantum Annealing Approach to Biclustering. TPNC (2016)
Matteo Denitto, Alessandro Farinelli, Manuele Bicego
Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm. IJCAI (2015)
Matteo Denitto, Alessandro Farinelli, Giuditta Franco, Manuele Bicego
A Binary Factor Graph Model for Biclustering. S+SSPR (2014)
Alessandro Farinelli, Matteo Denitto, Manuele Bicego
Biclustering of Expression Microarray Data Using Affinity Propagation. PRIB (2011)