Mikko Koivisto

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Petteri KaskiAssistant Professor of Computer Science, Aalto UniversityVerified email at aalto.fi
Thore HusfeldtIT University of Copenhagen and Lund UniversityVerified email at itu.dk
Pekka ParviainenDepartment of Informatics, University of BergenVerified email at uib.no
Jesper NederlofUtrecht UniversityVerified email at uu.nl
Matti JärvisaloProfessor, University of HelsinkiVerified email at helsinki.fi
Markus Perolaresearch professorVerified email at thl.fi
Per AustrinAssociate Professor in Computer Science, KTH Royal Institute of TechnologyVerified email at kth.se
Pasi RastasStaff Scientist, University of Helsinki, Institute of BiotechnologyVerified email at helsinki.fi
Jesper EkelundProfessor. Head of psychiatry Helsinki and Uusimaa hospital district.Verified email at helsinki.fi
Petri MyllymakiProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Janne H. KorhonenIST AustriaVerified email at ist.ac.at
Ivo GrosseProfessor of Bioinformatics, Martin Luther University Halle-WittenbergVerified email at informatik.uni-halle.de
Dieter Kratschprofesseur d'informatique, Universite de LorraineVerified email at univ-lorraine.fr
Yoshio OkamotoUniversity of Electro-CommunicationsVerified email at uec.ac.jp
Richard Ryan WilliamsMITVerified email at mit.edu
Lukasz KowalikUniversity of WarsawVerified email at mimuw.edu.pl
Fedor V. FominProfessor of Computer Science, University of BergenVerified email at uib.no
Johan M. M. van RooijUtrecht University (20%) and Valcon (80%)Verified email at uu.nl
Serge GaspersProfessor, UNSW Sydney, AustraliaVerified email at cse.unsw.edu.au
Mathieu LiedloffProfesseur des Universités, université d'OrléansVerified email at univ-orleans.fr

Mikko Koivisto

Professor, University of Helsinki

Verified email at helsinki.fi

Algorithms Artificial Intelligence Computational Statistics Machine Learning #UnivHelsinkiCS


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Exact Bayesian structure discovery in Bayesian networks M Koivisto, K Sood The Journal of Machine Learning Research 5, 549-573, 2004	570	2004
Set partitioning via inclusion-exclusion A Björklund, T Husfeldt, M Koivisto SIAM Journal on Computing 39 (2), 546-563, 2009	461	2009
Fourier meets Möbius: fast subset convolution A Björklund, T Husfeldt, P Kaski, M Koivisto Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007	393	2007
Narrow sieves for parameterized paths and packings A Björklund, T Husfeldt, P Kaski, M Koivisto Journal of Computer and System Sciences 87, 119-139, 2017	160	2017
The traveling salesman problem in bounded degree graphs A Björklund, T Husfeldt, P Kaski, M Koivisto ACM Transactions on Algorithms (TALG) 8 (2), 1-13, 2012	113*	2012
Advances in exact Bayesian structure discovery in Bayesian networks M Koivisto arXiv preprint arXiv:1206.6828, 2012	109	2012
An MDL method for finding haplotype blocks and for estimating the strength of haplotype block boundaries M Koivisto, M Perola, T Varilo, W Hennah, J Ekelund, M Lukk, L Peltonen, ... Biocomputing 2003, 502-513, 2002	103	2002
Computing the Tutte polynomial in vertex-exponential time A Björklund, T Husfeldt, P Kaski, M Koivisto 2008 49th Annual IEEE Symposium on Foundations of Computer Science, 677-686, 2008	97	2008
An O*(2^ n) Algorithm for Graph Coloring and Other Partitioning Problems via Inclusion--Exclusion M Koivisto 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06 …, 2006	92	2006
Exact structure discovery in Bayesian networks with less space P Parviainen, M Koivisto arXiv preprint arXiv:1205.2620, 2012	81	2012
Trimmed Moebius inversion and graphs of bounded degree A Björklund, T Husfeldt, P Kaski, M Koivisto Theory of Computing Systems 47 (3), 637-654, 2010	65	2010
Mixture model clustering of phenotype features reveals evidence for association of DTNBP1 to a specific subtype of schizophrenia J Wessman, T Paunio, A Tuulio-Henriksson, M Koivisto, T Partonen, ... Biological psychiatry 66 (11), 990-996, 2009	64	2009
Counting paths and packings in halves A Björklund, T Husfeldt, P Kaski, M Koivisto European Symposium on Algorithms, 578-586, 2009	58	2009
Structure discovery in Bayesian networks by sampling partial orders T Niinim, P Parviainen, M Koivisto Journal of Machine Learning Research 17 (57), 1-47, 2016	52	2016
Partial order MCMC for structure discovery in Bayesian networks T Niinimaki, P Parviainen, M Koivisto arXiv preprint arXiv:1202.3753, 2012	45	2012
A hidden Markov technique for haplotype reconstruction P Rastas, M Koivisto, H Mannila, E Ukkonen Algorithms in Bioinformatics: 5th International Workshop, WABI 2005 …, 2005	44	2005
Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction B Malone, K Kangas, M Järvisalo, M Koivisto, P Myllymäki Machine Learning 107, 247-283, 2018	39	2018
Dense subset sum may be the hardest P Austrin, M Koivisto, P Kaski, J Nederlof arXiv preprint arXiv:1508.06019, 2015	39	2015
Towards scalable bayesian learning of causal dags J Viinikka, A Hyttinen, J Pensar, M Koivisto Advances in Neural Information Processing Systems 33, 6584-6594, 2020	36	2020
Fast zeta transforms for lattices with few irreducibles A Björklund, T Husfeldt, P Kaski, M Koivisto, J Nederlof, P Parviainen ACM Transactions on Algorithms (TALG) 12 (1), 1-19, 2015	36	2015

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