Università Ca' Foscari Venezia

research

∙ 12/14/2021

Graph Kernel Neural Networks

The convolution operator at the core of many modern neural architectures...

Luca Cosmo, et al. ∙

research

∙ 04/01/2022

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications

Graphs are a powerful tool for representing and analyzing unstructured, ...

Kamilia Mullakaeva, et al. ∙

research

∙ 02/24/2021

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

In the past decade, object detection has achieved significant progress i...

Jian Ding, et al. ∙

research

∙ 03/14/2022

Energy-Latency Attacks via Sponge Poisoning

Sponge examples are test-time inputs carefully-optimized to increase ene...

Antonio Emanuele Cinà, et al. ∙

research

∙ 01/16/2019

A Functional Representation for Graph Matching

Graph matching is an important and persistent problem in computer vision...

Fu-Dong Wang, et al. ∙

research

∙ 03/28/2022

Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders

This paper proposes JiGAN, a GAN-based method for solving Jigsaw puzzles...

Marina Khoroshiltseva, et al. ∙

research

∙ 08/15/2018

Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets

Aggregating different image features for image retrieval has recently sh...

Leulseged Tesfaye Alemu, et al. ∙

research

∙ 11/28/2017

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Object detection is an important and challenging problem in computer vis...

Gui-Song Xia, et al. ∙

research

∙ 07/27/2017

Analysis of Italian Word Embeddings

In this work we analyze the performances of two of the most used word em...

Rocco Tripodi, et al. ∙

research

∙ 07/15/2017

Dominant Sets for "Constrained" Image Segmentation

Image segmentation has come a long way since the early days of computer ...

Eyasu Zemene, et al. ∙

research

∙ 06/19/2017

Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets

In this paper, a unified three-layer hierarchical approach for solving t...

Yonatan Tariku Tesfaye, et al. ∙

research

∙ 09/15/2016

Context Aware Nonnegative Matrix Factorization Clustering

In this article we propose a method to refine the clustering results obt...

Rocco Tripodi, et al. ∙

research

∙ 06/24/2016

A Game-Theoretic Approach to Word Sense Disambiguation

This paper presents a new model for word sense disambiguation formulated...

Rocco Tripodi, et al. ∙

research

∙ 02/04/2017

Large-scale Image Geo-Localization Using Dominant Sets

This paper presents a new approach for the challenging problem of geo-lo...

Eyasu Zemene, et al. ∙

research

∙ 09/21/2016

Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition

Introduced in the mid-1970's as an intermediate step in proving a long-s...

Marcello Pelillo, et al. ∙

research

∙ 08/01/2016

Interactive Image Segmentation Using Constrained Dominant Sets

We propose a new approach to interactive image segmentation based on som...

Eyasu Zemene, et al. ∙

research

∙ 08/17/2013

Adaptive Independent Sticky MCMC algorithms

In this work, we introduce a novel class of adaptive Monte Carlo methods...

L. Martino, et al. ∙

research

∙ 10/31/2012

On the Relation Between the Common Labelling and the Median Graph

In structural pattern recognition, given a set of graphs, the computatio...

Nicola Rebagliati, et al. ∙

research

∙ 11/29/2017

Objective Bayesian inference with proper scoring rules

Standard Bayesian analyses can be difficult to perform when the full lik...

Federica Giummolè, et al. ∙

research

∙ 03/19/2018

Nonparametric forecasting of multivariate probability density functions

The study of dependence between random variables is the core of theoreti...

Dominque Guégan, et al. ∙

research

∙ 03/27/2018

DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects

We present the DeepScores dataset with the goal of advancing the state-o...

Lukas Tuggener, et al. ∙

research

∙ 05/21/2018

Speaker Clustering Using Dominant Sets

Speaker clustering is the task of forming speaker-specific groups based ...

Feliks Hibraj, et al. ∙

research

∙ 05/26/2018

Deep Watershed Detector for Music Object Recognition

Optical Music Recognition (OMR) is an important and challenging area wit...

Lukas Tuggener, et al. ∙

research

∙ 05/26/2018

Transductive Label Augmentation for Improved Deep Network Learning

A major impediment to the application of deep learning to real-world pro...

Ismail Elezi, et al. ∙

research

∙ 06/18/2018

Boolean-like algebras of finite dimension

We introduce Boolean-like algebras of dimension n (nBA) having n constan...

Antonio Bucciarelli, et al. ∙

research

∙ 06/12/2018

A Graph Transduction Game for Multi-target Tracking

Semi-supervised learning is a popular class of techniques to learn from ...

Tewodros Mulugeta Dagnew, et al. ∙

research

∙ 06/24/2018

WPSE: Fortifying Web Protocols via Browser-Side Security Monitoring

We present WPSE, a browser-side security monitor for web protocols desig...

Stefano Calzavara, et al. ∙

research

∙ 08/27/2018

Persistent Stochastic Non-Interference

In this paper we present an information flow security property for stoch...

Jane Hillston, et al. ∙

research

∙ 10/02/2018

Ancient Coin Classification Using Graph Transduction Games

Recognizing the type of an ancient coin requires theoretical expertise a...

Sinem Aslan, et al. ∙

research

∙ 10/12/2018

DeepScores and Deep Watershed Detection: current state and open issues

This paper gives an overview of our current Optical Music Recognition (O...

Ismail Elezi, et al. ∙

research

∙ 11/25/2018

Is Data Clustering in Adversarial Settings Secure?

Clustering algorithms have been increasingly adopted in security applica...

Battista Biggio, et al. ∙

research

∙ 11/26/2018

Analysis of large sparse graphs using regular decomposition of graph distance matrices

Statistical analysis of large and sparse graphs is a challenging problem...

Hannu Reittu, et al. ∙

research

∙ 02/12/2019

RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter

Within OSNs, many of our supposedly online friends may instead be fake a...

Michele Mazza, et al. ∙

research

∙ 05/16/2019

Separating Structure from Noise in Large Graphs Using the Regularity Lemma

How can we separate structural information from noise in large graphs? T...

Marco Fiorucci. Francesco Pelosin, et al. ∙

research

∙ 06/04/2019

Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914

We investigate some aspects of the history of antisemitism in France, on...

Rocco Tripodi, et al. ∙

research

∙ 09/20/2019

Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets

The availability of large-scale data sets is an essential pre-requisite ...

Sinem Aslan, et al. ∙

research

∙ 01/17/2020

IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing

Online trackers personalize ads campaigns, exponentially increasing thei...

Maurizio Aiello, et al. ∙

research

∙ 04/30/2020

Covid-19 and contact tracing apps: A review under the European legal framework

In this article, we would like to review the main technologies that have...

Teresa Scantamburlo, et al. ∙

research

∙ 04/30/2020

Query-level Early Exit for Additive Learning-to-Rank Ensembles

Search engine ranking pipelines are commonly based on large ensembles of...

Claudio Lucchese, et al. ∙

research

∙ 06/03/2020

Information Consumption and Social Response in a Segregated Environment: the Case of Gab

Most of the information operations involve users who may foster polariza...

Gabriele Etta, et al. ∙

research

∙ 06/04/2020

Twinning automata and regular expressions for string static analysis

In this paper we formalize and prove the soundness of Tarsis, a new abst...

Luca Negrini, et al. ∙

research

∙ 06/29/2020

Visualizing and comparing distributions with half-disk density strips

We propose a user-friendly graphical tool, the half-disk density strip (...

Carlo Romano Marcello Alessandro Santagiustina, et al. ∙

research

∙ 01/21/2021

Time series compression: a survey

The presence of smart objects is increasingly widespread and their ecosy...

Giacomo Chiarot, et al. ∙

research

∙ 02/24/2021

Unsupervised semantic discovery through visual patterns detection

We propose a new fast fully unsupervised method to discover semantic pat...

Francesco Pelosin, et al. ∙

research

∙ 05/28/2021

More Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning

The design of machines and algorithms capable of learning in a dynamical...

Francesco Pelosin, et al. ∙

research

∙ 07/13/2021

Polarization and coherence in mean field games driven by private and social utility

We study a mean field game in continuous time over a finite horizon, T, ...

Dai Pra Paolo, et al. ∙

research

∙ 09/07/2021

Improving Dynamic Code Analysis by Code Abstraction

In this paper, our aim is to propose a model for code abstraction, based...

Isabella Mastroeni, et al. ∙

research

∙ 09/28/2021

A Formally Verified Configuration for Hardware Security Modules in the Cloud

Hardware Security Modules (HSMs) are trusted machines that perform sensi...

Riccardo Focardi, et al. ∙

research

∙ 10/12/2021

Can machines learn to see without visual databases?

This paper sustains the position that the time has come for thinking of ...

Alessandro Betti, et al. ∙

research

∙ 11/03/2021

HOLZ: High-Order Entropy Encoding of Lempel-Ziv Factor Distances

We propose a new representation of the offsets of the Lempel-Ziv (LZ) fa...

Dominik Köppl, et al. ∙

Università Ca' Foscari Venezia

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