Risultati ricerca pubblicazioni

pubblicato su: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2020

Halimi O., Imanuel I., Litany O., Trappolini G., Rodola E., Guibas L., Kimmel R.

Functional maps representation on product manifolds

pubblicato su: COMPUTER GRAPHICS FORUM - 2019

Rodolà E., Lähner Z., Bronstein A. M., Bronstein M. M., Solomon J.

ZoomOut: spectral upsampling for efficient shape correspondence

pubblicato su: ACM TRANSACTIONS ON GRAPHICS - 2019

Melzi S., Ren J., Rodolà E., Wonka P., Ovsjanikov and M.

SHREC’19: shape correspondence with isometric and non-isometric deformations

pubblicato su: Eurographics Workshop on 3D Object Retrieval (3DOR) - 2019

Dyke R. M., Stride C., Lai Y. -K., Rosin P. L., Aubry M., Boyarski A., Bronstein A. M., Bronstein M. M., Cremers D., Fisher M., Groueix T., Guo D., Kim V. G., Kimmel R., Lähner Z., Li K., Litany O., Remez T., Rodolà E., Russell B. C., Sahillioglu Y., Slossberg R., Tam G. K. L., Vestner M., Wu, and Yang Z.

SHREC’19: matching humans with different connectivity

pubblicato su: Eurographics Workshop on 3D Object Retrieval - 2019

Melzi S., Marin R., Rodolà E., Castellani U., Ren J., Poulenard A., Wonka, and Ovsjanikov P.

GFrames: gradient-based local reference frame for 3d shape matching

pubblicato su: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 2019

Melzi S., Spezialetti R., Tombari F., Bronstein M. M., Di Stefano L., Rodolà E.

Unsupervised learning of dense shape correspondence

pubblicato su: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition - 2019

Halimi O., Litany O., Rodolà E., Bronstein A. M., Kimmel and R.

Isospectralization, or how to hear shape, style, and correspondence

pubblicato su: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 2019

Cosmo L., Panine M., Rampini A., Ovsjanikov M., Bronstein M. M., Rodolà E.

High-resolution augmentation for automatic template-based matching of human models

pubblicato su: Proceedings - 2019 International Conference on 3D Vision, 3DV 2019 - 2019

Marin R., Melzi S., Rodola E., Castellani U.

Correspondence-free region localization for partial shape similarity via hamiltonian spectrum alignment

pubblicato su: Proceedings - 2019 International Conference on 3D Vision, 3DV 2019 - 2019

Rampini A., Tallini I., Ovsjanikov M., Bronstein A. M., Rodola E.

Spatial Maps: from low rank spectral to sparse spatial functional representations

pubblicato su: Proceedings - 2017 International Conference on 3D Vision, 3DV 2017 - 2018

Gasparetto Andrea, Cosmo Luca, Rodola Emanuele, Bronstein Michael, Torsello Andrea

Efficient deformable shape correspondence via kernel matching

pubblicato su: Proceedings - 2017 International Conference on 3D Vision, 3DV 2017 - 2018

Vestner Matthias, Lahner Zorah, Boyarski Amit, Litany Or, Slossberg Ron, Remez Tal, Rodola Emanuele, Bronstein Alex, Bronstein Michael, Kimmel Ron, Cremers Daniel

Localized Manifold Harmonics for Spectral Shape Analysis

pubblicato su: COMPUTER GRAPHICS FORUM - 2018

Melzi S., Rodolà E., Castellani U., Bronstein M. M.

Improved functional mappings via product preservation

pubblicato su: COMPUTER GRAPHICS FORUM - 2018

Nogneng D., Melzi S., Rodolá E., Castellani U., Bronstein M., Ovsjanikov M.

Partial single- and multishape dense correspondence using functional maps

pubblicato su: Handbook of Numerical Analysis Volume 19 - 2018

Litany Or, Rodola' Emanuele, Alex Bronstein, Michael Bronstein, Danielcremers

Functional Maps on Product Manifolds

pubblicato su: Symposium on Geometry Processing 2018- Posters - 2018

Rodola' Emanuele, Zorah Lähner, Alex M Bronstein, Michael M Bronstein, Justin Solomon

Structured Prediction of Dense Maps between Geometric Domains

pubblicato su: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings - 2018

Rodola Emanuele

Three Euler's Sieves and a Fast Prime Generator (Functional Pearl)

pubblicato su: - 2018

Salvo I., Pacifico A.

Emergent properties, models, and laws of behavioral similarities within groups of twitter users

pubblicato su: COMPUTER COMMUNICATIONS - 2020

Cresci Stefano, Di Pietro Roberto, Petrocchi Marinella, Spognardi Angelo, Tesconi Maurizio

On the Robustness of Rating Aggregators Against Injection Attacks

pubblicato su: Disinformation in Open Online Media - 2020

Spognardi A., Petrocchi M.

On the capability of evolved spambots to evade detection via genetic engineering

pubblicato su: ONLINE SOCIAL NETWORKS AND MEDIA - 2019

Cresci Stefano, Petrocchi Marinella, Spognardi Angelo, Tognazzi Stefano

Better safe than sorry: an adversarial approach to improve social bot detection

pubblicato su: WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science - 2019

Cresci Stefano, Petrocchi Marinella, Spognardi Angelo, Tognazzi Stefano

DDoS-Capable IoT Malwares: comparative analysis and Mirai Investigation

pubblicato su: SECURITY AND COMMUNICATION NETWORKS - 2018

De Donno Michele, Dragoni Nicola, Giaretta Alberto, Spognardi Angelo

Analysis and evaluation of SafeDroid v2.0, a framework for detecting malicious Android applications

pubblicato su: SECURITY AND COMMUNICATION NETWORKS - 2018

Argyriou Marios, Dragoni Nicola, Spognardi Angelo

From Reaction to Proaction: Unexplored Ways to the Detection of Evolving Spambots

pubblicato su: WWW '18 Companion Proceedings of the The Web Conference 2018 - 2018

Cresci Stefano, Petrocchi Marinella, Spognardi Angelo, Tognazzi Stefano

Predicting online review scores across reviewer categories

pubblicato su: Intelligent Data Engineering and Automated Learning – IDEAL 2018 - 2018

Fazzolari Michela, Petrocchi Marinella, Spognardi Angelo

Exploring the Peer Assessment Process Supported by the Enhanced Moodle Workshop in a Computer Programming Course

pubblicato su: Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, Workshops - 2020

Badea G., Popescu E., Sterbini A., Temperini M.

Pragmatic game authoring support for an adaptive Competence-Based Educational System

pubblicato su: Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference - 2019

Condrea Florentina, Cuoco Luca, Alexandru Dincu Tony, Popescu Elvira, Sterbini Andrea, Temperini Marco

Integrating enhanced peer assessment features in Moodle Learning Management System

pubblicato su: Foundations and Trends in Smart Learning - 2019

Badea Gabriel, Popescu Elvira, Sterbini Andrea, Temperini Marco

2TSW: Automated assessment of computer programming assignments, in a gamified web based system

pubblicato su: 2019 18th International Conference on Information Technology Based Higher Education and Training, ITHET 2019 - 2019

Polito G., Temperini M., Sterbini A.

Q2A-I: A Support Platform for Computer Programming Education, Based on Automated Assessment and Peer Learning

pubblicato su: Advances in Web-Based Learning – ICWL 2018 - 2018

Papandrea Simone, Sterbini Andrea, Temperini Marco, Popescu Elvira

A service-oriented architecture for student modeling in peer assessment environments

pubblicato su: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2018

Badea Gabriel, Popescu Elvira, Sterbini Andrea, Temperini Marco

Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery

pubblicato su: IEEE SECURITY & PRIVACY - 2020

Calzavara Stefano, CONTI MAURO, Focardi Riccardo, Rabitti Alvise, Tolomei Gabriele

You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction

pubblicato su: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS - 2019

Tolomei Gabriele, Lalmas Mounia, Farahat Ayman, Haines Andrew