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
Paul BodilyAssistant Professor of Computer Science, Idaho State UniversityVerified email at isu.edu
John T. PrincePlatform Engineer (Owlet); Former Asst Prof of Chemistry and Biochemistry, Brigham YoungVerified email at owletcare.com
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.) LeeProfessor of Electrical and Computer Engineering, Brigham Young UniversityVerified email at byu.edu
Nancy FuldaBrigham Young UniversityVerified email at cs.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
Alok DesaiVolynt Inc and Vividh Collections LLCVerified email at byu.edu
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Brad SpendloveAssistant Professor, Randolph CollegeVerified email at randolphcollege.edu
Michael S. GashlerUniversity of ArkansasVerified email at uark.edu
Alison PeaseUniversity of DundeeVerified email at dundee.ac.uk
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Richard G M MorrisUniversity of EdinburghVerified email at ed.ac.uk

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	385	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	237	2007
Quantum neural networks AA Ezhov, D Ventura Future Directions for Intelligent Systems and Information Sciences: The …, 2000	235	2000
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	171	2015
Choosing a starting configuration for particle swarm optimization M Richards, D Ventura Neural Networks, 2309-2312, 2004	143	2004
Initializing the amplitude distribution of a quantum state D Ventura, T Martinez Foundations of Physics Letters 12 (6), 547-559, 1999	116	1999
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, 1-14, 2014	111	2014
Training a quantum neural network B Ricks, D Ventura Advances in neural information processing systems 16, 2003	111	2003
Learning the architecture of sum-product networks using clustering on variables A Dennis, D Ventura Advances in Neural Information Processing Systems 25, 2012	108	2012
Mere generation: Essential barometer or dated concept D Ventura Proceedings of the Seventh International Conference on Computational …, 2016	95	2016
Distributed queries for quantum associative memory A Ezhov, A Nifanova, D Ventura Information Sciences 128 (3-4), 271-293, 2000	94*	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	93	2012
Quantum associative memory with exponential capacity D Ventura, T Martinez 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998	93	1998
An empirical comparison of discretization methods D Ventura, TR Martinez Proceedings of the tenth international symposium on computer and information …, 1995	83	1995
Automatic Generation of Music for Inducing Emotive Response. K Monteith, TR Martinez, D Ventura ICCC, 140-149, 2010	82	2010
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	81	1998
Improving liquid state machines through iterative refinement of the reservoir D Norton, D Ventura Neurocomputing 73 (16-18), 2893-2904, 2010	78	2010
Dynamic sociometry in particle swarm optimization M Richards, DA Ventura Atlantis Press, 2003	78	2003
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. N Fulda, D Ventura IJCAI 2007, 780-785, 2007	77	2007
Spatiotemporal pattern recognition via liquid state machines E Goodman, D Ventura The 2006 ieee international joint conference on neural network proceedings …, 2006	77	2006

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