Lars Asker

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	Toate	Din 2020
Referințe bibliografice	1583	508
h-index	19	10
i10-index	29	11

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Henrik BoströmProfessor of computer science - data science systems, KTH Royal Institute of TechnologyAdresă de e-mail confirmată pe kth.se
Panagiotis PapapetrouProfessor in Computer and Systems Sciences, Stockholm University, SwedenAdresă de e-mail confirmată pe dsv.su.se
Björn GambäckProfessor of Language Technology, Norwegian University of Science and TechnologyAdresă de e-mail confirmată pe ntnu.no
Aron HenrikssonAssociate Professor in Computer and Systems Sciences, Stockholm UniversityAdresă de e-mail confirmată pe dsv.su.se
Jussi KarlgrenStockholmAdresă de e-mail confirmată pe lingvi.st
Jing ZhaoDepartment of Computer and Systems Sciences (DSV), Stockholm UniversityAdresă de e-mail confirmată pe dsv.su.se
Kai PuolamäkiProfessor, University of Helsinki, FinlandAdresă de e-mail confirmată pe helsinki.fi
Anette HulthPublic Health Agency of SwedenAdresă de e-mail confirmată pe folkhalsomyndigheten.se
Michael C. BurlPrincipal Member of Technical Staff, Jet Propulsion LaboratoryAdresă de e-mail confirmată pe jpl.nasa.gov
Magnus SahlgrenAI SwedenAdresă de e-mail confirmată pe ai.se
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineAdresă de e-mail confirmată pe ics.uci.edu
Pietro PeronaCalifornia Institute of TechnologyAdresă de e-mail confirmată pe caltech.edu
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthAdresă de e-mail confirmată pe d.umn.edu
Christer SamuelssonResearcher, Gothenburg UniversityAdresă de e-mail confirmată pe student.gu.se
Love EkenbergProfessor of Computer and Systems Sciences, Stockholm UniversityAdresă de e-mail confirmată pe dsv.su.se
Isak SamstenStockholm UniversityAdresă de e-mail confirmată pe dsv.su.se

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Lars Asker

Associate Professor in Computer and Systems Sciences, Stockholm University

Adresă de e-mail confirmată pe dsv.su.se - Pagina de pornire

machine learning data mining data science information retrieval


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Protein names and how to find them K Franzén, G Eriksson, F Olsson, L Asker, P Lidén, J Cöster International journal of medical informatics 67 (1-3), 49-61, 2002	202	2002
A peek into the black box: exploring classifiers by randomization A Henelius, K Puolamäki, H Boström, L Asker, P Papapetrou Data mining and knowledge discovery 28, 1503-1529, 2014	170	2014
Automatic keyword extraction using domain knowledge A Hulth, J Karlgren, A Jonsson, H Boström, L Asker Computational Linguistics and Intelligent Text Processing: Second …, 2001	146	2001
Learning to recognize volcanoes on Venus MC Burl, L Asker, P Smyth, U Fayyad, P Perona, L Crumpler, J Aubele Machine Learning 30, 165-194, 1998	143	1998
Learning from heterogeneous temporal data in electronic health records J Zhao, P Papapetrou, L Asker, H Boström Journal of biomedical informatics 65, 105-119, 2017	126	2017
Predictive modeling of structured electronic health records for adverse drug event detection J Zhao, A Henriksson, L Asker, H Boström BMC medical informatics and decision making 15, 1-15, 2015	94	2015
Notions of correctness when evaluating protein name taggers F Olsson, G Eriksson, K Franzén, L Asker, P Lidén COLING 2002: The 19th International Conference on Computational Linguistics, 2002	64	2002
Methods for Amharic part-of-speech tagging B Gambäck, F Olsson, AA Argaw, L Asker First Workshop on Language Technologies for African Languages, March 2009 …, 2009	61	2009
An Amharic stemmer: Reducing words to their citation forms AA Argaw, L Asker Proceedings of the 2007 workshop on computational approaches to semitic …, 2007	51	2007
Ensembles as a sequence of classifiers L Asker, R Maclin IJCAI (2), 860-865, 1997	39	1997
Detecting adverse drug events with multiple representations of clinical measurements J Zhao, A Henriksson, L Asker, H Boström 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014	37	2014
Predicting adverse drug events by analyzing electronic patient records I Karlsson, J Zhao, L Asker, H Boström Artificial Intelligence in Medicine: 14th Conference on Artificial …, 2013	36	2013
Handling temporality of clinical events for drug safety surveillance J Zhao, A Henriksson, M Kvist, L Asker, H Boström AMIA Annual Symposium Proceedings 2015, 1371, 2015	35	2015
Amharic-English information retrieval AA Argaw, L Asker Workshop of the cross-language evaluation forum for European languages, 43-50, 2006	25	2006
Natural Language Processing for Amharic: Overview and Suggestins for a wat Forward A Atelach Proc. 10^< th> Conference'Traitement Automatique des Languages Naturalles …, 2003	25	2003
Combining divide-and-conquer and separate-and-conquer for efficient and effective rule induction H Boström, L Asker International Conference on Inductive Logic Programming, 33-43, 1999	25	1999
Exploiting syntax when detecting protein names in text G Eriksson, K Franzén, F Olsson, L Asker, P Lidén EFMI Workshop on Natural Language Processing in Biomedical Applications …, 2002	21	2002
Conformal prediction using random survival forests H Bostrom, L Asker, R Gurung, I Karlsson, T Lindgren, P Papapetrou 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017	19*	2017
Dictionary-based Amharic-French information retrieval AA Argaw, L Asker, R Cöster, J Karlgren, M Sahlgren Workshop of the Cross-Language Evaluation Forum for European Languages, 83-92, 2005	19	2005
Goldeneye++: A closer look into the black box A Henelius, K Puolamäki, I Karlsson, J Zhao, L Asker, H Boström, ... Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015	16	2015

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