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Anton Bryl
Anton Bryl
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Title
Cited by
Cited by
Year
A survey of learning-based techniques of email spam filtering
E Blanzieri, A Bryl
Artificial Intelligence Review 29, 63-92, 2008
5382008
Evaluation of the highest probability SVM nearest neighbor classifier with variable relative error cost
E Blanzieri, A Bryl
University of Trento, 2007
462007
Instance-based spam filtering using SVM nearest neighbor classifier.
E Blanzieri, A Bryl
FLAIRS, 441-442, 2007
342007
F-structure transfer-based statistical machine translation
Y Graham, J van Genabith, A Bryl
CSLI Publications, 2009
262009
DCU-Paris13 systems for the SANCL 2012 shared task
J Le Roux, J Foster, J Wagner, R Samad Zadeh Kaljahi, A Bryl
232012
A survey of anti-spam techniques
E Blanzieri, A Bryl
Department of Information and Communication Technology, University of Trento, 2006
222006
Highest probability SVM nearest neighbor classifier for spam filtering
E Blanzieri, A Bryl
Università degli Studi di Trento-Dipartimento di Informatica e Telecomunicazioni, 2007
42007
Improving dependency label accuracy using statistical post-editing: A cross-framework study
O Cetinoglu, A Bryl, J Foster, J Van Genabith
32011
E-mail Spam Filtering with Local SVM Classifiers
E Blanzieri, A Bryl
University of Trento, 2008
32008
Guessing the grammatical function of a non-root f-structure in LFG
A Bryl, J van Genabith, Y Graham
Association for Computational Linguistics, 2009
22009
f-align: An Open-Source Alignment Tool for LFG f-Structures
A Bryl, J van Genabith
12010
Learning-Based Spam Filters: the Influence of the Temporal Distribution of Training Data
A Bryl
University of Trento, 2006
12006
International journals
Y Wang, H Sun, W Du, E Blanzieri, G Viero, Y Liang, CM Livi, Z Cao, ...
BMC Bioinformatics 15 (123), 2014
2014
Two approaches to automatic matching of atomic grammatical features in LFG
A Bryl, J van Genabith
CSLI Publications, 2010
2010
Text Mining: Dealing with Multiple Orthographies
A Bryl
7th Dutch-Belgian Information Retrieval Workshop (DIR 2007), 9, 2007
2007
Spam Filtering: the Influence of the Temporal Distribution of Training Data.
A Bryl
Frontiers in Artificial Intelligence and Applications 142, 249, 2006
2006
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