Search Results for author: Aris Anagnostopoulos

Found 8 papers, 0 papers with code

Learning Double-Compression Video Fingerprints Left from Social-Media Platforms

no code implementations7 Dec 2022 Irene Amerini, Aris Anagnostopoulos, Luca Maiano, Lorenzo Ricciardi Celsi

However, fake news and manipulated content can easily go viral, so, being able to verify the source of videos and images as well as to distinguish between native and downloaded content becomes essential.

Identification of Social-Media Platform of Videos through the Use of Shared Features

no code implementations8 Sep 2021 Luca Maiano, Irene Amerini, Lorenzo Ricciardi Celsi, Aris Anagnostopoulos

To mitigate this limitation, in this work we propose two different solutions based on transfer learning and multitask learning to determine whether a video has been uploaded from or downloaded to a specific social platform through the use of shared features with images trained on the same task.

Transfer Learning

Firms Default Prediction with Machine Learning

no code implementations17 Feb 2020 Tesi Aliaj, Aris Anagnostopoulos, Stefano Piersanti

Academics and practitioners have studied over the years models for predicting firms bankruptcy, using statistical and machine-learning approaches.

BIG-bench Machine Learning

Algorithms for Hiring and Outsourcing in the Online Labor Market

no code implementations16 Feb 2020 Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi

In this paper, we provide algorithms for outsourcing and hiring workers in a general setting, where workers form a team and contribute different skills to perform a task.

On Mining IoT Data for Evaluating the Operation of Public Educational Buildings

no code implementations20 Jun 2019 Na Zhu, Aris Anagnostopoulos, Ioannis Chatzigiannakis

Public educational systems operate thousands of buildings with vastly different characteristics in terms of size, age, location, construction, thermal behavior and user communities.

Principal Fairness: Removing Bias via Projections

no code implementations31 May 2019 Aris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini, Chris Schwiegelshohn

Reducing hidden bias in the data and ensuring fairness in algorithmic data analysis has recently received significant attention.

Clustering Fairness

Community Detection on Evolving Graphs

no code implementations NeurIPS 2016 Aris Anagnostopoulos, Jakub Łącki, Silvio Lattanzi, Stefano Leonardi, Mohammad Mahdian

In many of these applications, the input graph evolves over time in a continual and decentralized manner, and, to maintain a good clustering, the clustering algorithm needs to repeatedly probe the graph.

Clustering Community Detection +3

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