Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Tsaparas Panayiotis"'
Autor:
Garcia-Pueyo, Lluís, Tsaparas, Panayiotis, Bhaskar, Anand, Kumar, Prathyusha Senthil, van Zwol, Roelof, Sellis, Timos, McCosker, Anthony, Papotti, Paolo
This is the proposal for the third edition of the Workshop on Integrity in Social Networks and Media, Integrity 2022, following the success of the first two Workshops held in conjunction with the 13th & 14th ACM Conference on Web Search and Data Mini
Externí odkaz:
http://arxiv.org/abs/2209.11867
Autor:
Tsioutsiouliklis, Sotiris, Pitoura, Evaggelia, Tsaparas, Panayiotis, Kleftakis, Ilias, Mamoulis, Nikos
Algorithmic fairness has attracted significant attention in the past years. Surprisingly, there is little work on fairness in networks. In this work, we consider fairness for link analysis algorithms and in particular for the celebrated PageRank algo
Externí odkaz:
http://arxiv.org/abs/2005.14431
Temporal interaction networks capture the history of activities between entities along a timeline. At each interaction, some quantity of data (money, information, kbytes, etc.) flows from one vertex of the network to another. Flow-based analysis can
Externí odkaz:
http://arxiv.org/abs/2003.01974
Autor:
Terizi, Chrysoula, Chatzakou, Despoina, Pitoura, Evaggelia, Tsaparas, Panayiotis, Kourtellis, Nicolas
Publikováno v:
Online Social Networks and Media 24 (2021): 100137
Cyberaggression has been studied in various contexts and online social platforms, and modeled on different data using state-of-the-art machine and deep learning algorithms to enable automatic detection and blocking of this behavior. Users can be infl
Externí odkaz:
http://arxiv.org/abs/2002.10131
Autor:
Kouvatis, Ioannis, Semertzidis, Konstantinos, Zerva, Maria, Pitoura, Evaggelia, Tsaparas, Panayiotis
The problem of team formation in a social network asks for a set of individuals who not only have the required skills to perform a task but who can also communicate effectively with each other. Existing work assumes that all links in a social network
Externí odkaz:
http://arxiv.org/abs/2001.03128
Autor:
Koonin Eugene V, Bodenreider Olivier, Mariño-Ramírez Leonardo, Tsaparas Panayiotis, Jordan I King
Publikováno v:
BMC Evolutionary Biology, Vol 6, Iss 1, p 70 (2006)
Abstract Background A genome-wide comparative analysis of human and mouse gene expression patterns was performed in order to evaluate the evolutionary divergence of mammalian gene expression. Tissue-specific expression profiles were analyzed for 9,10
Externí odkaz:
https://doaj.org/article/2a7c707ac752412cabe59d24dda85a2b
The democratization of AI tools for content generation, combined with unrestricted access to mass media for all (e.g. through microblogging and social media), makes it increasingly hard for people to distinguish fact from fiction. This raises the que
Externí odkaz:
http://arxiv.org/abs/1903.11535
Recommender systems have been applied successfully in a number of different domains, such as, entertainment, commerce, and employment. Their success lies in their ability to exploit the collective behavior of users in order to deliver highly targeted
Externí odkaz:
http://arxiv.org/abs/1811.01461
Many real-world phenomena are best represented as interaction networks with dynamic structures (e.g., transaction networks, social networks, traffic networks). Interaction networks capture flow of data which is transferred between their vertices alon
Externí odkaz:
http://arxiv.org/abs/1810.08408
Autor:
Pitoura, Evaggelia, Tsaparas, Panayiotis, Flouris, Giorgos, Fundulaki, Irini, Papadakos, Panagiotis, Abiteboul, Serge, Weikum, Gerhard
Bias in online information has recently become a pressing issue, with search engines, social networks and recommendation services being accused of exhibiting some form of bias. In this vision paper, we make the case for a systematic approach towards
Externí odkaz:
http://arxiv.org/abs/1704.05730