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178 results on '"Grossi, Giuliano"'

1. Extrinsic Calibration of Multiple Depth Cameras for 3D Face Reconstruction

Author

Burger, Jacopo, Facchi, Giuseppe, Grossi, Giuliano, Lanzarotti, Raffaella, Pedersini, Federico, Tartaglia, Gianluca, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Foresti, Gian Luca, editor, Fusiello, Andrea, editor, and Hancock, Edwin, editor

Published
2023
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2. On Using rPPG Signals for DeepFake Detection: A Cautionary Note

Author

D’Amelio, Alessandro, Lanzarotti, Raffaella, Patania, Sabrina, Grossi, Giuliano, Cuculo, Vittorio, Valota, Andrea, Boccignone, Giuseppe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Foresti, Gian Luca, editor, Fusiello, Andrea, editor, and Hancock, Edwin, editor

Published
2023
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4. Multitask Hopfield Networks

Author

Frasca, Marco, Grossi, Giuliano, and Valentini, Giorgio

Subjects
Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract

Multitask algorithms typically use task similarity information as a bias to speed up and improve the performance of learning processes. Tasks are learned jointly, sharing information across them, in order to construct models more accurate than those learned separately over single tasks. In this contribution, we present the first multitask model, to our knowledge, based on Hopfield Networks (HNs), named HoMTask. We show that by appropriately building a unique HN embedding all tasks, a more robust and effective classification model can be learned. HoMTask is a transductive semi-supervised parametric HN, that minimizes an energy function extended to all nodes and to all tasks under study. We provide theoretical evidence that the optimal parameters automatically estimated by HoMTask make coherent the model itself with the prior knowledge (connection weights and node labels). The convergence properties of HNs are preserved, and the fixed point reached by the network dynamics gives rise to the prediction of unlabeled nodes. The proposed model improves the classification abilities of singletask HNs on a preliminary benchmark comparison, and achieves competitive performance with state-of-the-art semi-supervised graph-based algorithms., Comment: 16 pages, 1 figures

Published
2019

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

Author

Zhou, Naihui, Jiang, Yuxiang, Bergquist, Timothy R, Lee, Alexandra J, Kacsoh, Balint Z, Crocker, Alex W, Lewis, Kimberley A, Georghiou, George, Nguyen, Huy N, Hamid, Md Nafiz, Davis, Larry, Dogan, Tunca, Atalay, Volkan, Rifaioglu, Ahmet S, Dalkıran, Alperen, Cetin Atalay, Rengul, Zhang, Chengxin, Hurto, Rebecca L, Freddolino, Peter L, Zhang, Yang, Bhat, Prajwal, Supek, Fran, Fernández, José M, Gemovic, Branislava, Perovic, Vladimir R, Davidović, Radoslav S, Sumonja, Neven, Veljkovic, Nevena, Asgari, Ehsaneddin, Mofrad, Mohammad RK, Profiti, Giuseppe, Savojardo, Castrense, Martelli, Pier Luigi, Casadio, Rita, Boecker, Florian, Schoof, Heiko, Kahanda, Indika, Thurlby, Natalie, McHardy, Alice C, Renaux, Alexandre, Saidi, Rabie, Gough, Julian, Freitas, Alex A, Antczak, Magdalena, Fabris, Fabio, Wass, Mark N, Hou, Jie, Cheng, Jianlin, Wang, Zheng, Romero, Alfonso E, Paccanaro, Alberto, Yang, Haixuan, Goldberg, Tatyana, Zhao, Chenguang, Holm, Liisa, Törönen, Petri, Medlar, Alan J, Zosa, Elaine, Borukhov, Itamar, Novikov, Ilya, Wilkins, Angela, Lichtarge, Olivier, Chi, Po-Han, Tseng, Wei-Cheng, Linial, Michal, Rose, Peter W, Dessimoz, Christophe, Vidulin, Vedrana, Dzeroski, Saso, Sillitoe, Ian, Das, Sayoni, Lees, Jonathan Gill, Jones, David T, Wan, Cen, Cozzetto, Domenico, Fa, Rui, Torres, Mateo, Warwick Vesztrocy, Alex, Rodriguez, Jose Manuel, Tress, Michael L, Frasca, Marco, Notaro, Marco, Grossi, Giuliano, Petrini, Alessandro, Re, Matteo, Valentini, Giorgio, Mesiti, Marco, Roche, Daniel B, Reeb, Jonas, Ritchie, David W, Aridhi, Sabeur, Alborzi, Seyed Ziaeddin, Devignes, Marie-Dominique, Koo, Da Chen Emily, Bonneau, Richard, Gligorijević, Vladimir, Barot, Meet, Fang, Hai, Toppo, Stefano, and Lavezzo, Enrico

Subjects
Human Genome, Networking and Information Technology R&D (NITRD), Genetics, Generic health relevance, Animals, Biofilms, Candida albicans, Drosophila melanogaster, Genome, Bacterial, Genome, Fungal, Humans, Locomotion, Memory, Long-Term, Molecular Sequence Annotation, Pseudomonas aeruginosa, Protein function prediction, Long-term memory, Biofilm, Critical assessment, Community challenge, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundThe Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function.ResultsHere, we report on the results of the third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed. In a novel and major new development, computational predictions and assessment goals drove some of the experimental assays, resulting in new functional annotations for more than 1000 genes. Specifically, we performed experimental whole-genome mutation screening in Candida albicans and Pseudomonas aureginosa genomes, which provided us with genome-wide experimental data for genes associated with biofilm formation and motility. We further performed targeted assays on selected genes in Drosophila melanogaster, which we suspected of being involved in long-term memory.ConclusionWe conclude that while predictions of the molecular function and biological process annotations have slightly improved over time, those of the cellular component have not. Term-centric prediction of experimental annotations remains equally challenging; although the performance of the top methods is significantly better than the expectations set by baseline methods in C. albicans and D. melanogaster, it leaves considerable room and need for improvement. Finally, we report that the CAFA community now involves a broad range of participants with expertise in bioinformatics, biological experimentation, biocuration, and bio-ontologies, working together to improve functional annotation, computational function prediction, and our ability to manage big data in the era of large experimental screens.

Published
2019

9. DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos

Author

Boccignone, Giuseppe, Bursic, Sathya, Cuculo, Vittorio, D’Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Patania, Sabrina, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sclaroff, Stan, editor, Distante, Cosimo, editor, Leo, Marco, editor, Farinella, Giovanni M., editor, and Tombari, Federico, editor

Published
2022
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10. Multitask Hopfield Networks

Author

Frasca, Marco, Grossi, Giuliano, Valentini, Giorgio, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Brefeld, Ulf, editor, Fromont, Elisa, editor, Hotho, Andreas, editor, Knobbe, Arno, editor, Maathuis, Marloes, editor, and Robardet, Céline, editor

Published
2020
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11. A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks

Author

Ba, Cheick Tidiane, Casiraghi, Elena, Frasca, Marco, Gliozzo, Jessica, Grossi, Giuliano, Mesiti, Marco, Notaro, Marco, Perlasca, Paolo, Petrini, Alessandro, Re, Matteo, Valentini, Giorgio, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Raposo, Maria, editor, Ribeiro, Paulo, editor, Sério, Susana, editor, Staiano, Antonino, editor, and Ciaramella, Angelo, editor

Published
2020
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12. Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

Author

Frasca, Marco, Sepehri, Maryam, Petrini, Alessandro, Grossi, Giuliano, Valentini, Giorgio, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Raposo, Maria, editor, Ribeiro, Paulo, editor, Sério, Susana, editor, Staiano, Antonino, editor, and Ciaramella, Angelo, editor

Published
2020
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14. Editorial: Special Track on Graph Models for Learning and Recognition

Author

Hong, Jiman, Park, Juw Won, D'Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, Jianyi Lin (ORCID:0000-0002-3299-448X), Hong, Jiman, Park, Juw Won, D'Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, and Jianyi Lin (ORCID:0000-0002-3299-448X)

Abstract

Graphs, with their innate ability to encapsulate both topological and semantic information, have become a first-class tool in the landscape of pattern recognition and machine learning to represent weakly structured and heterogeneous data across countless domains. The field has evolved significantly since its early stages, with researchers pushing the boundaries of what graph-based learning algorithms can do. Inspired by the success of other deep learning models, various methods were introduced to redefine graph convolution, offering a suitable representation for spatio-temporal data as well. Graph-based representations find applications in diverse domains like computer vision, natural language processing, traffic forecasting, and molecular graph structure analysis in chemistry. This year's edition of the Graph Models for Learning and Recognition track is a testament to the relentless pursuit in understanding and harnessing the potential of these complex structures, thus reflecting the ever-expanding use of graph-based representations and models. The conference proceedings include a diverse range of papers, each addressing unique facets of graph-based representation, prediction, and model design, as well as related applications. We received high quality papers from all over the world, with a total of 15 submissions. The review process was very competitive, with each paper going through at least three reviews. As a result, 4 full papers were selected for presentation in the track. Three of them deal with enhancements in graph structure representation, in particular improving metapath-based processing on heterogeneous graphs and node classification, detecting change points in evolving graphs based on martingale theory, and exploring the impact of multiplicative integration-based layers for improved neighbourhood aggregation in GCNs. The fourth paper applies GCNs on 3D facial models for effective gender classification, showcasing results on the BP4D+ dataset. We would l

Published
2024

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

Author

Cuculo, Vittorio, D’Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ricci, Elisa, editor, Rota Bulò, Samuel, editor, Snoek, Cees, editor, Lanz, Oswald, editor, Messelodi, Stefano, editor, and Sebe, Nicu, editor

Published
2019
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16. A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem

Author

Conte, Donatello, Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, Petrini, Alessandro, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Conte, Donatello, editor, Ramel, Jean-Yves, editor, and Foggia, Pasquale, editor

Published
2019
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17. Give Ear to My Face: Modelling Multimodal Attention to Social Interactions

Author

Boccignone, Giuseppe, Cuculo, Vittorio, D’Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Leal-Taixé, Laura, editor, and Roth, Stefan, editor

Published
2019
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19. Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA Features

Author

Bodini, Matteo, D’Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Blanc-Talon, Jacques, editor, Helbert, David, editor, Philips, Wilfried, editor, Popescu, Dan, editor, and Scheunders, Paul, editor

Published
2018
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23. Taking the Hidden Route: Deep Mapping of Affect via 3D Neural Networks

Author

Ceruti, Claudio, Cuculo, Vittorio, D’Amelio, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Farinella, Giovanni Maria, editor, Leo, Marco, editor, and Gallo, Giovanni, editor

Published
2017
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24. A Note on Modelling a Somatic Motor Space for Affective Facial Expressions

Author

D’Amelio, Alessandro, Cuculo, Vittorio, Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Farinella, Giovanni Maria, editor, Leo, Marco, editor, and Gallo, Giovanni, editor

Published
2017
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25. Virtual EMG via Facial Video Analysis

Author

Boccignone, Giuseppe, Cuculo, Vittorio, Grossi, Giuliano, Lanzarotti, Raffaella, Migliaccio, Raffaella, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Gallo, Giovanni, editor, Schettini, Raimondo, editor, and Stanco, Filippo, editor

Published
2017
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28. A Selection Module for Large-Scale Face Recognition Systems

Author

Grossi, Giuliano, Lanzarotti, Raffaella, Lin, Jianyi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Murino, Vittorio, editor, and Puppo, Enrico, editor

Published
2015
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34. Face Recognition in Uncontrolled Conditions Using Sparse Representation and Local Features

Author

Adamo, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Petrosino, Alfredo, editor

Published
2013
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35. Sparse Representation Based Classification for Face Recognition by k-LiMapS Algorithm

Author

Adamo, Alessandro, Grossi, Giuliano, Lanzarotti, Raffaella, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Elmoataz, Abderrahim, editor, Mammass, Driss, editor, Lezoray, Olivier, editor, Nouboud, Fathallah, editor, and Aboutajdine, Driss, editor

Published
2012
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36. Random Pruning of Blockwise Stationary Mixtures for Online BSS

Author

Adamo, Alessandro, Grossi, Giuliano, Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Vigneron, Vincent, editor, Zarzoso, Vicente, editor, Moreau, Eric, editor, Gribonval, Rémi, editor, and Vincent, Emmanuel, editor

Published
2010
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40. FPGA Implementation of an Adaptive Stochastic Neural Model

Author

Grossi, Giuliano, Pedersini, Federico, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, de Sá, Joaquim Marques, editor, Alexandre, Luís A., editor, Duch, Włodzisław, editor, and Mandic, Danilo, editor

Published
2007
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41. Speeding Up FastICA by Mixture Random Pruning

Author

Gaito, Sabrina, Grossi, Giuliano, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Davies, Mike E., editor, James, Christopher J., editor, Abdallah, Samer A., editor, and Plumbley, Mark D, editor

Published
2007
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43. A Discrete Adaptive Stochastic Neural Model for Constrained Optimization

Author

Grossi, Giuliano, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kollias, Stefanos D., editor, Stafylopatis, Andreas, editor, Duch, Włodzisław, editor, and Oja, Erkki, editor

Published
2006
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