Claudio Moraga

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Milena StankovicProfessor of ComputingVerified email at elfak.ni.ac.rs
Rodrigo Salas F.Universidad de Valparaíso / Millennium Institute for Intelligent Healthcare Engineering / MEDINGVerified email at uv.cl
Igor AizenbergProfessor and Chair of the Department of Computer Science, Manhattan UniversityVerified 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
Svetlana YanushkevichProfessor, University of CalgaryVerified email at ucalgary.ca
Carlos ValleUniversidad de Playa AnchaVerified email at upla.cl
Hector Allende-CidFraunhofer IAIS / PUCVVerified email at pucv.cl
Mark G. KarpovskyProfessor of Computer Engineering, Boston UniversityVerified email at bu.edu
Alejandro VelozAssociate professor, Biomedical Engineering, Universidad de ValparaísoVerified email at uv.cl
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Sergio GuadarramaSenior Staff Research Engineer at Google DeepMindVerified email at google.com
Rudolf SeisingDeutsches MuseumVerified email at deutsches-museum.de
martin lukacHiroshima City UniversityVerified email at s.hiroshima-cu.ac.jp
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	1462	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	265	2007
A diffusion-neural-network for learning from small samples C Huang, C Moraga International Journal of Approximate Reasoning 35 (2), 137-161, 2004	219	2004
Artificial neural networks in time series forecasting: A comparative analysis H Allende, C Moraga, R Salas Kybernetika 38 (6), [685]-707, 2002	128	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	96	2001
Hierarchical distributed genetic algorithms F Herrera, M Lozano, C Moraga International journal of intelligent systems 14 (11), 1099-1121, 1999	89	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	82	1993
Fourier analysis on finite groups with applications in signal processing and system design RS Stankovic, C Moraga, J Astola John Wiley & Sons, 2005	79	2005
Spectral transform decision diagrams RS Stanković, T Sasao, C Moraga Representations of discrete functions, 55-92, 1996	75	1996
Computing with antonyms E Trillas, C Moraga, S Guadarrama, S Cubillo, E Castineira Forging new frontiers: Fuzzy pioneers I, 133-153, 2007	69	2007
Representations of Multiple-Valued Logic Functions RS Stankovic, J Astola, C Moraga Springer Nature, 2022	67	2022
Introducing disjoint spectral translation in spectral multiple-valued logic design C Moraga Electronics Letters 14 (8), 241-243, 1978	63	1978
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	61	1992
A Feedforward Neural Network based on Multi-Valued Neurons I Aizenberg Computational Intelligence, Theory and Applications. Advances in Soft …, 2005	60	2005
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	54	2005
Introduction to fuzzy logic C Moraga Facta universitatis-series: Electronics and Energetics 18 (2), 319-328, 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	44	2002
Multiple-valued logic and artificial intelligence fundamentals of fuzzy control revisited C Moraga, E Trillas, S Guadarrama Artificial Intelligence Review 20, 169-197, 2003	43	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	40	1996

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