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
Dah-Jye (D.J.) LeeBrigham Young UniversityVerified email at byu.edu
Nancy FuldaBrigham Young UniversityVerified email at cs.byu.edu
Spencer FowersLead Engineer, Microsoft ResearchVerified email at microsoft.com
Michael CookQueen Mary University of LondonVerified email at gamesbyangelina.org
Parris EgbertProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Alok DesaiVividh Collections LLC, USAVerified email at byu.edu
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Michael S. GashlerSupplyPikeVerified email at uark.edu
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Alison PeaseUniversity of DundeeVerified email at dundee.ac.uk
Brad SpendlovePhD Student, Brigham Young UniversityVerified email at byu.edu
Benjamin BayLawrence Livermore National LaboratoryVerified email at llnl.gov

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	317	2000
Quantum neural networks AA Ezhov, D Ventura Future directions for intelligent systems and information sciences, 213-235, 2000	181	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	134	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	125	2015
Choosing a starting configuration for particle swarm optimization M Richards, D Ventura Neural Networks, 2309-2312, 2004	124	2004
Initializing the amplitude distribution of a quantum state D Ventura, T Martinez Foundations of Physics Letters 12 (6), 547-559, 1999	94	1999
Learning the architecture of sum-product networks using clustering on variables A Dennis, D Ventura Advances in Neural Information Processing Systems 25, 2012	89	2012
Training a quantum neural network B Ricks, D Ventura Advances in neural information processing systems 16, 2003	83	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	79	2014
Mere generation: Essential barometer or dated concept D Ventura Proceedings of the Seventh International Conference on Computational …, 2016	78	2016
An empirical comparison of discretization methods D Ventura, TR Martinez Proceedings of the Tenth International Symposium on Computer and Information …, 1995	77	1995
Distributed queries for quantum associative memory A Ezhov, A Nifanova, D Ventura Information Sciences 128 (3-4), 271-293, 2000	76*	2000
Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef. RG Morris, SH Burton, PM Bodily, D Ventura ICCC, 119-125, 2012	74	2012
Dynamic sociometry in particle swarm optimization M Richards, DA Ventura Atlantis Press, 2003	72	2003
An artificial neuron with quantum mechanical properties D Ventura, T Martinez Artificial Neural Nets and Genetic Algorithms, 482-485, 1998	70	1998
Quantum associative memory with exponential capacity D Ventura, T Martinez 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998	68	1998
Automatic Generation of Music for Inducing Emotive Response. K Monteith, TR Martinez, D Ventura ICCC, 140-149, 2010	67	2010
Spatiotemporal pattern recognition via liquid state machines E Goodman, D Ventura The 2006 ieee international joint conference on neural network proceedings …, 2006	67	2006
Improving liquid state machines through iterative refinement of the reservoir D Norton, D Ventura Neurocomputing 73 (16-18), 2893-2904, 2010	64	2010
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. N Fulda, D Ventura IJCAI 2007, 780-785, 2007	62	2007

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