From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

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As the usage of FPGAs spreads, engineers will inevitably employ them in ways unforeseen-or unwanted-by their manufacturers. Xilinx's toolchains offer multiple points for customizing the FPGA compilation flow, but all flows must end with Vivado as it is the ...

In contrary to traditional media streaming services where a unique media content is delivered to different users, interactive multiview navigation applications enable users to choose their own viewpoints and freely navigate in a three-dimensional scene. Th ...

Kinetic models of metabolism relate metabolic fluxes, metabolite concentrations and enzyme levels through mechanistic relations, rendering them essential for understanding, predicting and optimizing the behaviour of living organisms. However, due to the la ...

Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of predicting the evolution of a time ...

In this work, we present a simple biometric indexing scheme which is binning and retrieving cancelable deep face templates based on frequent binary patterns. The simplicity of the proposed approach makes it applicable to unprotected as well as protected, i ...

A major obstacle to achieving global convergence in distributed and federated learning is the misalignment of gradients across clients, or mini-batches due to heterogeneity and stochasticity of the distributed data. In this work, we show that data heteroge ...

Location-based games have the power to transform specific environments into thematic learning experiences. However, their learning content is often managed only by developers and users cannot create their own content, or customize existing ones. This issue ...

This paper presents an analysis of the role of social media, specifically Twitter, in the context of non-fungible tokens, better known as NFTs. Such emerging technology framing the creation and exchange of digital object, started years ago with early proje ...

Photo privacy has raised a growing concern with the advancements of image analytics, face recognition, and deep learning techniques widely applied on social media. If properly deployed, these powerful techniques can in turn assist people in enhancing their ...

In recent years we have seen a marked increase in disinformation including as part of a strategy of so-called hybrid warfare. Adversaries not only directly spread misleading content but manipulate social media by employing sophisticated techniques that exp ...

State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density. While effective, these data-driven approaches rely on large amount of data annotation to achieve good performance, which stops these models from ...

Social buttons are now widespread in social media apps. They are used to assign weight to user content and trigger user engagement. They come in different shapes (e.g., thumb in Facebook, arrows in Reddit or StackOverflow, plus one in Google+) but very lit ...

We describe the first gradient methods on Riemannian manifolds to achieve accelerated rates in the non-convex case. Under Lipschitz assumptions on the Riemannian gradient and Hessian of the cost function, these methods find approximate first-order critical ...

Social media have become one of the key platforms to support the debate on climate change. In particular, Twitter allows easy information dissemination when running environmental campaigns. Yet, the dynamics of these campaigns on social platforms still rem ...

This paper investigates the effect of combination policies on the performance of adaptive social learning in non-stationary environments. By analyzing the relation between the error probability and the underlying graph topology, we prove that in the slow a ...

To shrink the environmental footprint of housing, reducing dwellings' size is key. There is agreement among scholars on the measures that should be taken to achieve this goal, however their effectiveness and effects have not been sufficiently investigated. ...

Social media has become an important instrument for running various types of public campaigns and mobilizing people. Yet, the dynamics of public campaigns on social networking platforms still remain largely unexplored. In this paper, we present an in-depth ...

Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

While social data is being widely used in various applications such as sentiment analysis and trend prediction, its sheer size also presents great challenges for storing, sharing and processing such data. These challenges can be addressed by data summariza ...

Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from keypoint correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with correspondence errors. T ...

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

Chattez avec Graph Search

Bitfiltrator: A general approach for reverse-engineering Xilinx bitstream formats

Optimized Data Representation for Interactive Multiview Navigation

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

Indexing Protected Deep Face Templates by Frequent Binary Patterns

Implicit Gradient Alignment in Distributed and Federated Learning

Modular Open Educational Resources for Location-Based Games

The impact of NFT profile pictures within social network communities

Context-Dependent Privacy-Aware Photo Sharing based on Machine Learning

The Role of Compromised Accounts in Social Media Manipulation

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Rule of Thumb – Effect of Social Button Icons on Interaction

An Accelerated First-Order Method for Non-convex Optimization on Manifolds

Please Sign to Save... : How Online Environmental Petitions Succeed

Optimal Combination Policies For Adaptive Social Learning

Shrinking Housing's Size: Using Agent-Based Modelling to Explore Measures for a Reduction of Floor Area Per Capita

Analyzing Large-Scale Public Campaigns on Twitter

Dynamic Personalized Ranking

Data Summarization with Social Contexts

Robust Isometric Non-Rigid Structure-From-Motion