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Giuliano Grossi
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2020 – today
- 2023
- [j25]Giuseppe Boccignone
, Alessandro D'Amelio
An Evaluation of Non-Contact Photoplethysmography-Based Methods for Remote Respiratory Rate Estimation. Sensors 23(7): 3387 (2023) - [c41]Alessandro D'Amelio
On Using rPPG Signals for DeepFake Detection: A Cautionary Note. ICIAP (2) 2023: 235-246 - [c40]Jacopo Burger, Giuseppe Facchi
Extrinsic Calibration of Multiple Depth Cameras for 3D Face Reconstruction. ICIAP (2) 2023: 357-368 - 2022
- [j24]Giuseppe Boccignone, Donatello Conte, Vittorio Cuculo
pyVHR: a Python framework for remote photoplethysmography. PeerJ Comput. Sci. 8: e929 (2022) - [c39]Giuseppe Boccignone
DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos. ICIAP (2) 2022: 186-195 - 2021
- [j23]Donatello Conte
Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing. Pattern Recognit. Lett. 149: 30-36 (2021) - [j22]Francesca Odone
Guest Editorial Assistive Computing Technologies for Human Well-Being. IEEE Trans. Emerg. Top. Comput. 9(3): 1231-1233 (2021) - 2020
- [j21]Giuseppe Boccignone
On Gaze Deployment to Audio-Visual Cues of Social Interactions. IEEE Access 8: 161630-161654 (2020) - [j20]Giuseppe Boccignone
An Open Framework for Remote-PPG Methods and Their Assessment. IEEE Access 8: 216083-216103 (2020) - [j19]Giuliano Grossi, Pietro Paglierani, Federico Pedersini
Enhanced multicore-manycore interaction in high-performance video encoding. J. Real Time Image Process. 17(4): 887-902 (2020) - [j18]Giuliano Grossi
Positive technology for elderly well-being: A review. Pattern Recognit. Lett. 137: 61-70 (2020) - [c38]Sathya Bursic, Alessandro D'Amelio, Marco Granato, Giuliano Grossi, Raffaella Lanzarotti:
A Quantitative Evaluation Framework of Video De-Identification Methods. ICPR 2020: 6089-6095 - [c37]Giuseppe Boccignone, Claudio de'Sperati, Marco Granato, Giuliano Grossi, Raffaella Lanzarotti, Nicoletta Noceti, Francesca Odone:
Stairway to Elders: Bridging Space, Time and Emotions in Their Social Environment for Wellbeing. ICPRAM 2020: 548-554
2010 – 2019
- 2019
- [j17]Paolo Perlasca, Marco Frasca
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinform. 20(1): 422:1-422:19 (2019) - [j16]Vittorio Cuculo
Robust Single-Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features. Sensors 19(1): 146 (2019) - [c36]Donatello Conte
A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem. GbRPR 2019: 161-171 - [c35]Vittorio Cuculo
Worldly Eyes on Video: Learnt vs. Reactive Deployment of Attention to Dynamic Stimuli. ICIAP (1) 2019: 128-138 - [c34]Marco Frasca
Multitask Hopfield Networks. ECML/PKDD (2) 2019: 349-365 - [i1]Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Multitask Hopfield Networks. CoRR abs/1904.05098 (2019) - 2018
- [j15]Marco Frasca
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. BMC Bioinform. 19-S(10): 269-280 (2018) - [j14]Giuseppe Boccignone
Deep Construction of an Affective Latent Space via Multimodal Enactment. IEEE Trans. Cogn. Dev. Syst. 10(4): 865-880 (2018) - [c33]Matteo Bodini
Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA Features. ACIVS 2018: 297-308 - [c32]Marco Frasca
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. CIBB 2018: 80-87 - [c31]Cheick Tidiane Ba
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. CIBB 2018: 88-98 - [c30]Giuseppe Boccignone
Give Ear to My Face: Modelling Multimodal Attention to Social Interactions. ECCV Workshops (2) 2018: 331-345 - [c29]Giuseppe Boccignone
Predictive Sampling of Facial Expression Dynamics Driven by a Latent Action Space. SITIS 2018: 143-150 - 2017
- [j13]Alessandro Adamo, Giuliano Grossi
Sparse decomposition by iterating Lipschitzian-type mappings. Theor. Comput. Sci. 664: 12-28 (2017) - [c28]Alessandro D'Amelio
A Note on Modelling a Somatic Motor Space for Affective Facial Expressions. ICIAP Workshops 2017: 181-188 - [c27]Claudio Ceruti, Vittorio Cuculo
Taking the Hidden Route: Deep Mapping of Affect via 3D Neural Networks. ICIAP Workshops 2017: 189-196 - [c26]Giuseppe Boccignone
Virtual EMG via Facial Video Analysis. ICIAP (1) 2017: 197-207 - 2016
- [j12]Giuliano Grossi
Robust Face Recognition Providing the Identity and Its Reliability Degree Combining Sparse Representation and Multiple Features. Int. J. Pattern Recognit. Artif. Intell. 30(10): 1656007:1-1656007:18 (2016) - [c25]P. Comi, Paolo Secondo Crosta, M. Beccari, Pietro Paglierani, Giuliano Grossi
Hardware-accelerated high-resolution video coding in Virtual Network Functions. EuCNC 2016: 32-36 - [c24]Pietro Paglierani, Giuliano Grossi
GPU-based VP8 encoding: Performance in native and virtualized environments. TEMU 2016: 1-5 - 2015
- [j11]Alessandro Adamo, Giuliano Grossi
ECG compression retaining the best natural basis k-coefficients via sparse decomposition. Biomed. Signal Process. Control. 15: 11-17 (2015) - [j10]Giuliano Grossi
High-rate compression of ECG signals by an accuracy-driven sparsity model relying on natural basis. Digit. Signal Process. 45: 96-106 (2015) - [j9]Alessandro Adamo, Giuliano Grossi
Robust face recognition using sparse representation in LDA space. Mach. Vis. Appl. 26(6): 837-847 (2015) - [c23]Giuliano Grossi
A Selection Module for Large-Scale Face Recognition Systems. ICIAP (2) 2015: 529-539 - 2013
- [c22]Alessandro Adamo, Giuliano Grossi
Face Recognition in Uncontrolled Conditions Using Sparse Representation and Local Features. ICIAP (2) 2013: 31-40 - [c21]Alessandro Adamo, Giuliano Grossi
Local features and sparse representation for face recognition with partial occlusions. ICIP 2013: 3008-3012 - 2012
- [c20]Alessandro Adamo, Giuliano Grossi
Sparse Representation Based Classification for Face Recognition by k-LiMapS Algorithm. ICISP 2012: 245-252 - 2011
- [c19]Alessandro Adamo, Giuliano Grossi
A fixed-point iterative schema for error minimization in k-sparse decomposition. ISSPIT 2011: 167-172 - [c18]Alessandro Adamo, Giuliano Grossi
Sparsity recovery by iterative orthogonal projections of nonlinear mappings. ISSPIT 2011: 173-178 - 2010
- [c17]Alessandro Adamo, Giuliano Grossi
Random Pruning of Blockwise Stationary Mixtures for Online BSS. LVA/ICA 2010: 213-220 - [c16]Alessandro Adamo, Giuliano Grossi
Trade-off between hops and delays in hub-based forwarding in DTNs. Wireless Days 2010: 1-5 - [c15]Giuliano Grossi, Federico Pedersini:
Hub-betweenness analysis in delay tolerant networks inferred by real traces. WiOpt 2010: 318-323 - [c14]Alberto Bertoni, Marco Frasca
Learning functional linkage networks with a cost-sensitive approach. WIRN 2010: 52-61
2000 – 2009
- 2009
- [j8]Giuliano Grossi
Adaptiveness in Monotone Pseudo-Boolean Optimization and Stochastic Neural Computation. Int. J. Neural Syst. 19(4): 241-252 (2009) - [j7]Giuliano Grossi
Experimental Analysis of Graph-based Answer Set Computation over Parallel and Distributed Architectures. J. Log. Comput. 19(4): 697-715 (2009) - 2008
- [j6]Giuliano Grossi
FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization. Neural Networks 21(6): 872-879 (2008) - [c13]Sabrina Gaito
A two-level social mobility model for trace generation. MobiHoc 2008: 457-458 - [c12]Sabrina Gaito
Experimental validation of a 2-level social mobility model in opportunistic networks. Wireless Days 2008: 1-5 - 2007
- [c11]Sabrina Gaito, Giuliano Grossi:
Speeding Up FastICA by Mixture Random Pruning. ICA 2007: 185-192 - [c10]Giuliano Grossi, Federico Pedersini:
FPGA Implementation of an Adaptive Stochastic Neural Model. ICANN (1) 2007: 559-568 - 2006
- [j5]Giuliano Grossi
Solving maximum independent set by asynchronous distributed hopfield-type neural networks. RAIRO Theor. Informatics Appl. 40(2): 371-388 (2006) - [c9]Giuliano Grossi:
A Discrete Adaptive Stochastic Neural Model for Constrained Optimization. ICANN (1) 2006: 641-650 - 2005
- [c8]Giuliano Grossi, Massimo Marchi:
A New Algorithm for Answer Set Computation. Answer Set Programming 2005 - 2002
- [j4]Alberto Bertoni, Paola Campadelli, Giuliano Grossi
A Neural Algorithm for the Maximum Clique Problem: Analysis, Experiments, and Circuit Implementation. Algorithmica 33(1): 71-88 (2002) - [c7]Giuliano Grossi, Roberto Posenato
A Distributed Algorithm for Max Independent Set Problem Based on Hopfield Networks. WIRN 2002: 64-74 - 2001
- [j3]Alberto Bertoni, Paola Campadelli, Giuliano Grossi
An approximation algorithm for the maximum cut problem and its experimental analysis. Discret. Appl. Math. 110(1): 3-12 (2001) - [c6]Alberto Bertoni, Giuliano Grossi, Alessandro Provetti, Vladik Kreinovich, Luis Tari:
The Prospect for Answer Sets Computation by a Genetic Model. Answer Set Programming 2001 - [c5]Alberto Bertoni, Paola Campadelli, Giuliano Grossi:
Solving Min Vertex Cover with Iterated Hopfield Networks. WIRN 2001: 87-95 - 2000
- [j2]Alberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi
A Genetic Model: Analysis and Application to MAXSAT. Evol. Comput. 8(3): 291-309 (2000)
1990 – 1999
- 1997
- [j1]Maria Alberta Alberti, Alberto Bertoni, Paola Campadelli, Giuliano Grossi
A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation. Neural Networks 10(3): 555-560 (1997) - [c4]Alberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi:
Analysis of a Genetic Model. ICGA 1997: 121-126 - [c3]Alberto Bertoni, Paola Campadelli, Giuliano Grossi:
A Discrete Neural Algorithm for the Maximum Clique Problem: Analysis and Circuit Implementation. WAE 1997: 84-91 - 1996
- [c2]Alberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi
A Genetic Model and the Hopfield Networks. ICANN 1996: 463-468 - 1995
- [c1]Maria Alberta Alberti, Alberto Bertoni, Paola Campadelli, Giuliano Grossi
A neural circuit for the maximum 2-satisfiability problem. PDP 1995: 319-323
Coauthor Index
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