Giuliano Grossi

发表

Robust face recognition using sparse representation in LDA space

Alessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, 2015, Machine Vision and Applications.

Positive technology for elderly well-being: A review

Nicoletta Noceti, Francesca Odone, Giuliano Grossi, 2020, Pattern Recognit. Lett..

A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem

Giuliano Grossi, Raffaella Lanzarotti, Donatello Conte, 2019, GbRPR.

Robust Face Recognition Providing the Identity and Its Reliability Degree Combining Sparse Representation and Multiple Features

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2016, Int. J. Pattern Recognit. Artif. Intell..

Speeding Up FastICA by Mixture Random Pruning

Giuliano Grossi, Sabrina Gaito, S. Gaito, 2007, ICA.

Orthogonal Procrustes Analysis for Dictionary Learning in Sparse Linear Representation

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2017, PloS one.

A neural circuit for the maximum 2-satisfiability problem

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 1995, Proceedings Euromicro Workshop on Parallel and Distributed Processing.

A Note on Modelling a Somatic Motor Space for Affective Facial Expressions

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2017, ICIAP Workshops.

A Discrete Adaptive Stochastic Neural Model for Constrained Optimization

Giuliano Grossi, 2006, ICANN.

Robust Single-Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features †

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2019, Sensors.

Give Ear to My Face: Modelling Multimodal Attention to Social Interactions

Giuliano Grossi, Raffaella Lanzarotti, Alessandro D'Amelio, 2018, ECCV Workshops.

Adaptiveness in Monotone Pseudo-Boolean Optimization and Stochastic Neural Computation

Giuliano Grossi, G. Grossi, 2009, Int. J. Neural Syst..

Solving Min Vertex Cover with Iterated Hopfield Networks

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 2001, WIRN.

parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants

Giuliano Grossi, Marco Mesiti, Peter N Robinson, 2020, GigaScience.

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction

Elena Casiraghi, Giuliano Grossi, Marco Mesiti, 2019, BMC Bioinformatics.

FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization

Federico Pedersini, Giuliano Grossi, 2008, Neural Networks.

Sparse decomposition by iterating Lipschitzian-type mappings

Alessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, 2017, Theor. Comput. Sci..

Global uncertainty assessment in hydrological forecasting by means of statistical analysis of forecast errors

Angelo Montanari, Giuliano Grossi, 2007 .

Enhanced multicore–manycore interaction in high-performance video encoding

Federico Pedersini, Giuliano Grossi, Alessandro Petrini, 2018, Journal of Real-Time Image Processing.

Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

Giuliano Grossi, Alessandro Petrini, Marco Frasca, 2018, CIBB.

High-rate compression of ECG signals by an accuracy-driven sparsity model relying on natural basis

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2015, Digit. Signal Process..

Hub-betweenness analysis in delay tolerant networks inferred by real traces

Federico Pedersini, Giuliano Grossi, F. Pedersini, 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

Local features and sparse representation for face recognition with partial occlusions

Alessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, 2013, 2013 IEEE International Conference on Image Processing.

Analysis of a Genetic Model

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 1997, ICGA.

The Prospect for Answer Sets Computation by a Genetic Model

Vladik Kreinovich, Alberto Bertoni, Alessandro Provetti, 2001, Answer Set Programming.

Elaborazione Numerica dei Segnali

Alberto Bertoni, Giuliano Grossi, 2003 .

Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction

Elena Casiraghi, Giuliano Grossi, Marco Mesiti, 2020, Scientific Reports.

A two-level social mobility model for trace generation

Federico Pedersini, Giuliano Grossi, Sabrina Gaito, 2008, MobiHoc '08.

A Selection Module for Large-Scale Face Recognition Systems

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2015, ICIAP.

A New Algorithm for Answer Set Computation

Giuliano Grossi, Massimo Marchi, 2005, Answer Set Programming.

Learning functional linkage networks with a cost-sensitive approach

Giorgio Valentini, Alberto Bertoni, Giuliano Grossi, 2010, WIRN.

Virtual EMG via Facial Video Analysis

Giuliano Grossi, Raffaella Lanzarotti, Giuseppe Boccignone, 2017, ICIAP.

Multitask Hopfield Networks

Giorgio Valentini, Giuliano Grossi, Marco Frasca, 2019, ECML/PKDD.

GPU-based VP8 encoding: Performance in native and virtualized environments

Federico Pedersini, Giuliano Grossi, Alessandro Petrini, 2016, 2016 International Conference on Telecommunications and Multimedia (TEMU).

Deep Construction of an Affective Latent Space via Multimodal Enactment

Giuliano Grossi, Raffaella Lanzarotti, Donatello Conte, 2018, IEEE Transactions on Cognitive and Developmental Systems.

A Distributed Algorithm for Max Independent Set Problem Based on Hopfield Networks

Giuliano Grossi, Roberto Posenato, 2002, WIRN.

ECG compression retaining the best natural basis k-coefficients via sparse decomposition

Alessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, 2015, Biomed. Signal Process. Control..

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks

Elena Casiraghi, Giuliano Grossi, Marco Mesiti, 2018, CIBB.

Random Pruning of Blockwise Stationary Mixtures for Online BSS

Alessandro Adamo, Giuliano Grossi, G. Grossi, 2010, LVA/ICA.

Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA Features

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2018, ACIVS.

Solving maximum independent set by asynchronous distributed hopfield-type neural networks

Giuliano Grossi, Massimo Marchi, Roberto Posenato, 2006, RAIRO Theor. Informatics Appl..

parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants

Giuliano Grossi, Marco Mesiti, Alessandro Petrini, 2020, bioRxiv.

Random Projections for Dimensionality Reduction in ICA

Giuliano Grossi, Sabrina Gaito, Andrea Greppi, 2008 .

An Open Framework for Remote-PPG Methods and Their Assessment

Giuliano Grossi, Raffaella Lanzarotti, Donatello Conte, 2020, IEEE Access.

An approximation algorithm for the maximum cut problem and its experimental analysis

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 2001, Discret. Appl. Math..

Worldly Eyes on Video: Learnt vs. Reactive Deployment of Attention to Dynamic Stimuli

Giuliano Grossi, Raffaella Lanzarotti, Alessandro D'Amelio, 2019, ICIAP.

Face Recognition in Uncontrolled Conditions Using Sparse Representation and Local Features

Alessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, 2013, ICIAP.

Sparsity recovery by iterative orthogonal projections of nonlinear mappings

Alessandro Adamo, Giuliano Grossi, G. Grossi, 2011, 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Tapio Salakoski, Feng Zhang, Paolo Fontana, 2019, Genome Biology.

Predictive Sampling of Facial Expression Dynamics Driven by a Latent Action Space

Giuliano Grossi, Giuseppe Boccignone, Vittorio Cuculo, 2018, 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Taking the Hidden Route: Deep Mapping of Affect via 3D Neural Networks

Giuliano Grossi, Raffaella Lanzarotti, Claudio Ceruti, 2017, ICIAP Workshops.

On Gaze Deployment to Audio-Visual Cues of Social Interactions

Giuliano Grossi, Raffaella Lanzarotti, Vittorio Cuculo, 2020, IEEE Access.

A fixed-point iterative schema for error minimization in k-sparse decomposition

Alessandro Adamo, Giuliano Grossi, G. Grossi, 2011, 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

A Genetic Model: Analysis and Application to MAXSAT

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 2000, Evolutionary Computation.

Stairway to Elders: Bridging Space, Time and Emotions in Their Social Environment for Wellbeing

Nicoletta Noceti, Francesca Odone, Giuliano Grossi, 2020, ICPRAM.

Trade-off between hops and delays in hub-based forwarding in DTNs

Federico Pedersini, Alessandro Adamo, Giuliano Grossi, 2010, 2010 IFIP Wireless Days.

Hardware-accelerated high-resolution video coding in Virtual Network Functions

Federico Pedersini, Giuliano Grossi, Alessandro Petrini, 2016, 2016 European Conference on Networks and Communications (EuCNC).

FPGA Implementation of an Adaptive Stochastic Neural Model

Federico Pedersini, Giuliano Grossi, 2007, ICANN.

Experimental Analysis of Graph-based Answer Set Computation over Parallel and Distributed Architectures

Enrico Pontelli, Alessandro Provetti, Giuliano Grossi, 2009, J. Log. Comput..

Sparse Representation Based Classification for Face Recognition by k-LiMapS Algorithm

Alessandro Adamo, Giuliano Grossi, Raffaella Lanzarotti, 2012, ICISP.

A Neural Algorithm for the Maximum Clique Problem: Analysis, Experiments, and Circuit Implementation

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 2001, Algorithmica.

A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation

Paola Campadelli, Giuliano Grossi, Roberto Posenato, 1997, Neural Networks.

A Genetic Model and the Hopfield Networks

Paola Campadelli, Alberto Bertoni, Giuliano Grossi, 1996, ICANN.

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks

Giorgio Valentini, Giuliano Grossi, Marco Mesiti, 2018, BMC Bioinformatics.

A Quantitative Evaluation Framework of Video De-Identification Methods

Giuliano Grossi, Raffaella Lanzarotti, Marco Granato, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing

Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, 2021, Pattern Recognit. Lett..

Guest Editorial Assistive Computing Technologies for Human Well-Being

Nicoletta Noceti, Francesca Odone, Giuliano Grossi, 2021, IEEE Trans. Emerg. Top. Comput..

Parameters tuning boosts hyperSMURF predictions of rare deleterious non-coding genetic variants

Giorgio Valentini, Giuliano Grossi, Marco Mesiti, 2017 .

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Jari Björne, Tapio Salakoski, Giorgio Valentini, 2019, Genome Biology.