Claudio Moraga

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Milena StankovicProfessor of ComputingVerified email at elfak.ni.ac.rs
Rodrigo SalasUniversidad de Valparaíso / Millennium Institute for Intelligent Healthcare EngineeringVerified email at uv.cl
Igor AizenbergProfessor and Chair of the Department of Computer Science, Manhattan CollegeVerified email at manhattan.edu
Suzana StojkovicProfessor of Computer Science, University of NisVerified email at elfak.ni.ac.rs
Chongfu HuangBeijing Normal UniversityVerified email at bnu.edu.cn
Dragan JankovicProfessor, Department of Computer Science, Faculty of Electronic Engineering, University of NisVerified email at elfak.ni.ac.rs
Tsutomu SasaoVisiting Professor, Meiji UniversityVerified email at cs.meiji.ac.jp
Carlos ValleUniversidad de Playa AnchaVerified email at upla.cl
Hector Allende-CidFraunhofer IAIS / PUCVVerified email at pucv.cl
Svetlana YanushkevichProfessor, University of CalgaryVerified email at ucalgary.ca
Mark G. KarpovskyProfessor of Computer Engineering, Boston UniversityVerified email at bu.edu
Francisco HerreraProfessor Computer Science and AI, Granada University, SpainVerified email at decsai.ugr.es
Sergio GuadarramaStaff SWE at Google BrainVerified email at google.com
Alejandro VelozAssociate professor, Biomedical Engineering, Universidad de ValparaísoVerified email at uv.cl
Rudolf SeisingDeutsches MuseumVerified email at deutsches-museum.de
martin lukacNazarbayev UniversityVerified email at nu.edu.kz
Manuel LozanoDept. Computer Science and A.I. - University GranadaVerified email at decsai.ugr.es
Volker Meyer zu BextenInfineon Technologies AGVerified email at computer.org
Sebastian MorenoUniversidad Adolfo IbañezVerified email at uai.cl
Lluis GodoIIIA - CSICVerified email at iiia.csic.es

Claudio Moraga

Technical University of Dortmund, Germany

Verified email at moraga.de - Homepage

Soft Computing Multiple-valued Logic Spectral Techniques Reversible Computing


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The influence of the sigmoid function parameters on the speed of backpropagation learning J Han, C Moraga International workshop on artificial neural networks, 195-201, 1995	1191	1995
Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm I Aizenberg, C Moraga Soft Computing 11, 169-183, 2007	256	2007
A diffusion-neural-network for learning from small samples C Huang, C Moraga International Journal of Approximate Reasoning 35 (2), 137-161, 2004	210	2004
Artificial neural networks in time series forecasting: A comparative analysis H Allende, C Moraga, R Salas Kybernetika 38 (6), [685]-707, 2002	109	2002
Cellular neural networks and computational intelligence in medical image processing I Aizenberg, N Aizenberg, J Hiltner, C Moraga, EM Zu Bexten Image and vision computing 19 (4), 177-183, 2001	91	2001
Hierarchical distributed genetic algorithms F Herrera, M Lozano, C Moraga International journal of intelligent systems 14 (11), 1099-1121, 1999	86	1999
ALSYN: Flexible rule-based layout synthesis for analog IC's VM Zu Bexten, C Moraga, R Klinke, W Brockherde, KG Hess IEEE journal of solid-state circuits 28 (3), 261-268, 1993	80	1993
Spectral transform decision diagrams RS Stanković, T Sasao, C Moraga Representations of discrete functions, 55-92, 1996	72	1996
Fourier analysis on finite groups with applications in signal processing and system design RS Stankovic, C Moraga, J Astola John Wiley & Sons, 2005	71	2005
Efficient derivation of Reed-Muller expansions in multiple-valued logic systems B Harking, C Moraga 1992 Proceedings The Twenty-Second International Symposium on Multiple …, 1992	64	1992
Computing with antonyms E Trillas, C Moraga, S Guadarrama, S Cubillo, E Castineira Forging New Frontiers: Fuzzy Pioneers I, 133-153, 2007	63	2007
Introducing disjoint spectral translation in spectral multiple-valued logic design C Moraga Electronics Letters 14 (8), 241-243, 1978	61	1978
A feedforward neural network based on multi-valued neurons I Aizenberg, C Moraga, D Paliy Computational Intelligence, Theory and Applications: International …, 2005	58	2005
Representation of Multiple-Valued Logic Functions RS Stanković, J Astola, C Moraga Morgan & Claypool, 2012	55	2012
Extracting fuzzy if–then rules by using the information matrix technique C Huang, C Moraga Journal of Computer and System Sciences 70 (1), 26-52, 2005	52	2005
A fuzzy risk model and its matrix algorithm C Huang, C Moraga International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2002	45	2002
Introduction to fuzzy logic C Moraga Facta universitatis-series: Electronics and Energetics 18 (2), 319-328, 2005	44	2005
Multiple-valued logic and artificial intelligence fundamentals of fuzzy control revisited C Moraga, E Trillas, S Guadarrama Artificial Intelligence Review 20, 169-197, 2003	42	2003
An evolutionary method to find good building-blocks for architectures of artificial neural networks CM Friedrich, C Moraga Sixth International Conference on Information Processing and Management of …, 1996	40	1996
Optimization of feedforward neural networks J Han, C Moraga, S Sinne Engineering Applications of Artificial Intelligence 9 (2), 109-119, 1996	39	1996

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