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Tom De Smedt

dblp:16/9529 · DBLP profile ↗
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7ranked-venue papers
5as first author
0since 2021 · last 2014
0000-0001-8295-6660ORCID · corroborated

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

Artificial intelligence and machine learning · 5 · 4 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 2 first-author

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.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems › dynamic languages
python
0.112012
Pattern for Python · J. Mach. Learn. Res. 2012
Data mining › text mining
information extraction and text analysis
0.012012
Pattern for Python · J. Mach. Learn. Res. 2012

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

pattern mining · 0.3part-of-speech tagging · 0.3
YearPublicationVenuePosition
2014 Creative Web Services with Pattern
Tom De Smedt, Lucas Nijs, Walter Daelemans
ICCC1
2014 Using Wiktionary to Build an Italian Part-of-Speech Tagger
Tom De Smedt, Fabio Marfia, Matteo Matteucci, Walter Daelemans
NLDB1
2014 Evaluating and understanding text-based stock price prediction models
Enric Junqué de Fortuny, Tom De Smedt, David Martens, Walter Daelemans
Inf. Process. Manag.2
2012 "Vreselijk mooi!" (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives
Tom De Smedt, Walter Daelemans
LREC1
2012 Media coverage in times of political crisis: A text mining approach
Enric Junqué de Fortuny, Tom De Smedt, David Martens, Walter Daelemans
Expert Syst. Appl.2
2012 Pattern for Python
Tom De Smedt, Walter Daelemans
J. Mach. Learn. Res.1
2011 Generative Art Inspired by Nature, Using NodeBox
Tom De Smedt, Ludivine Lechat, Walter Daelemans
EvoApplications (2)1