Lars Asker

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

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Lars Asker

Associate Professor in Computer and Systems Sciences, Stockholm University

Dirección de correo verificada de dsv.su.se - Página principal

machine learning data mining data science information retrieval


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	201	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	177	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	147	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	142	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	122	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	66	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	59	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	50	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	36	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
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
Dictionary-based Amharic–English information retrieval AA Argaw, L Asker, R Cöster, J Karlgren Multilingual Information Access for Text, Speech and Images: 5th Workshop of …, 2005	21	2005
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	18*	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	18	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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