Dan Ventura

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Tony MartinezProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
David NortonBrigham Young UniversityVerified email at byu.edu
Derrall HeathGoogleVerified email at google.com
Robert SmithPrime Labs Inc.Verified email at primelabs.ms
John T. PrincePlatform Engineer (Owlet); Former Asst Prof of Chemistry and Biochemistry, Brigham YoungVerified email at owletcare.com
Paul BodilyAssistant Professor of Computer Science, Idaho State UniversityVerified email at isu.edu
Aaron DennisBrigham Young UniversityVerified email at byu.edu
Simon ColtonProf. Computational Creativity at Queen Mary University of London, UK & Monash University, AustraliaVerified email at qmul.ac.uk
Nancy FuldaBrigham Young UniversityVerified email at cs.byu.edu
Dah-Jye (D.J.) LeeProfessor of Electrical and Computer Engineering, Brigham Young UniversityVerified email at byu.edu
Michael CookKing's College LondonVerified email at gamesbyangelina.org
Spencer FowersLead Engineer, Microsoft ResearchVerified email at microsoft.com
Parris EgbertProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Alok DesaiVolynt Inc and Vividh Collections LLCVerified email at byu.edu
Alison PeaseUniversity of DundeeVerified email at dundee.ac.uk
Brad SpendlovePhD Student, Brigham Young UniversityVerified email at byu.edu
Michael S. GashlerUniversity of ArkansasVerified email at uark.edu
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Benjamin BayVirta HealthVerified email at virtahealth.com

Dan Ventura

Professor of Computer Science, Brigham Young University

Verified email at cs.byu.edu

Computational Creativity Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Quantum associative memory D Ventura, T Martinez Information sciences 124 (1-4), 273-296, 2000	348	2000
Quantum neural networks AA Ezhov, D Ventura Future Directions for Intelligent Systems and Information Sciences: The …, 2000	206	2000
Spring research presentation: A theoretical foundation for inductive transfer J West, D Ventura, S Warnick Brigham Young University, College of Physical and Mathematical Sciences 1 (08), 2007	199	2007
LC-MS alignment in theory and practice: a comprehensive algorithmic review R Smith, D Ventura, JT Prince Briefings in bioinformatics 16 (1), 104-117, 2015	149	2015
Choosing a starting configuration for particle swarm optimization M Richards, D Ventura Neural Networks, 2309-2312, 2004	140	2004
Initializing the amplitude distribution of a quantum state D Ventura, T Martinez Foundations of Physics Letters 12 (6), 547-559, 1999	101	1999
Training a quantum neural network B Ricks, D Ventura Advances in neural information processing systems 16, 2003	100	2003
Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view R Smith, AD Mathis, D Ventura, JT Prince BMC bioinformatics 15 (7), 1-14, 2014	99	2014
Learning the architecture of sum-product networks using clustering on variables A Dennis, D Ventura Advances in Neural Information Processing Systems 25, 2012	98	2012
Mere generation: Essential barometer or dated concept D Ventura Proceedings of the Seventh International Conference on Computational …, 2016	87	2016
Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef. RG Morris, SH Burton, PM Bodily, D Ventura ICCC, 119-125, 2012	87	2012
An empirical comparison of discretization methods D Ventura, TR Martinez Proceedings of the Tenth International Symposium on Computer and Information …, 1995	82	1995
Automatic Generation of Music for Inducing Emotive Response. K Monteith, TR Martinez, D Ventura ICCC, 140-149, 2010	81	2010
Quantum associative memory with exponential capacity D Ventura, T Martinez 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998	81	1998
Distributed queries for quantum associative memory A Ezhov, A Nifanova, D Ventura Information Sciences 128 (3-4), 271-293, 2000	80*	2000
Dynamic sociometry in particle swarm optimization M Richards, DA Ventura Atlantis Press, 2003	77	2003
An artificial neuron with quantum mechanical properties GD Smith, NC Steele, RF Albrecht, D Ventura, T Martinez Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1998	76	1998
Spatiotemporal pattern recognition via liquid state machines E Goodman, D Ventura The 2006 ieee international joint conference on neural network proceedings …, 2006	73	2006
Improving liquid state machines through iterative refinement of the reservoir D Norton, D Ventura Neurocomputing 73 (16-18), 2893-2904, 2010	72	2010
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. N Fulda, D Ventura IJCAI 2007, 780-785, 2007	70	2007

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