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Ilias N. Flaounas

dblp:81/1451 · DBLP profile ↗
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11ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 8 · 1 first-authorDatabases, data management, data science and information retrieval · 5 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Web and social media mining · 77% Data integration and cleaning · 23%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and social media mining
news analysis
0.112011
NOAM: news outlets analysis and monitoring system · SIGMOD Conference 2011

Methods — techniques the papers use, named apart from their topics

natural language processing · 0.2machine learning · 0.2data mining · 0.2
YearPublicationVenuePosition
2014 Efficient classification of multi-labeled text streams by clashing
Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini
Expert Syst. Appl.2
2013 Finite-Time Analysis of Kernelised Contextual Bandits
Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini
UAI4
2013 Modelling and predicting news popularity
Elena Hensinger, Ilias N. Flaounas, Nello Cristianini
Pattern Anal. Appl.2
2012 ElectionWatch: Detecting Patterns in News Coverage of US Elections
Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini
EACL3
2012 What Makes Us Click? - Modelling and Predicting the Appeal of News Articles
Elena Hensinger, Ilias N. Flaounas, Nello Cristianini
ICPRAM (2)2
2012 Scalable Corpus Annotation by Graph Construction and Label Propagation
Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini
ICPRAM (1)2
2011 Celebrity Watch: Browsing News Content by Exploiting Social Intelligence
Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini
ECML/PKDD (3)2
2011 NOAM: news outlets analysis and monitoring system
abstract
We present NOAM, an integrated platform for the monitoring and analysis of news media content. NOAM is the data management system behind various applications and scientific studies aiming at modelling the mediasphere. The system is also intended to address the need in the AI community for platforms where various AI technologies are integrated and deployed in the real world. It combines a relational database (DB) with state of the art AI technologies, including data mining, machine learning and natural language processing. These technologies are organised in a robust, distributed architecture of collaborating modules, that are used to populate and annotate the DB. NOAM manages tens of millions of news items in multiple languages, automatically annotating them in order to enable queries based on their semantic properties. The system also includes a unified user interface for interacting with its various modules.
Ilias N. Flaounas, Omar Ali, Marco Turchi, Tristan Snowsill, Florent Nicart, Tijl De Bie, Nello Cristianini
SIGMOD Conference1
2010 Detecting Events in a Million New York Times Articles
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini
ECML/PKDD (3)2
2009 Inference and Validation of Networks
Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini
ECML/PKDD (1)1
2009 Found in Translation
Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini
ECML/PKDD (2)2